Tumor Antigen Vaccine
\r\n\tThe protection of biodiversity is a major target of the European Union Marine Strategy Framework Directive, requiring an assessment of the status of biodiversity on the level of species, habitats, and ecosystems including genetic diversity and the role of biodiversity in food web structure and functioning. The restoration of marine ecosystems can support the productivity and reliability of goods and services that the ocean provides to humankind, to maintain ecosystem integrity and stability. Some of the goods produced by the marine ecosystem services are fish harvests, wild plant and animal resources, water, some of the services provided recreation, tourism, breeding and nursery habitats, water transport, carbon sequestration, erosion control, and habitat provision.
",isbn:"978-1-83968-460-9",printIsbn:"978-1-83968-459-3",pdfIsbn:"978-1-83968-544-6",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"727e7eb3d4ba529ec5eb4f150e078523",bookSignature:"Dr. Ana M.M. Marta Gonçalves",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10845.jpg",keywords:"Non-indigenous Species, Dynamics, Ecosystem Maturation, Ecological Succession, Water Quality, Recovery, Biodiversity, Environmental Status, Ecosystem Services, Goods Production, Carbohydrates, Carrageenan",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 14th 2022",dateEndSecondStepPublish:"June 22nd 2022",dateEndThirdStepPublish:"August 21st 2022",dateEndFourthStepPublish:"November 9th 2022",dateEndFifthStepPublish:"January 8th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"15 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Ana Marta Gonçalves (h-index 19) holds a Ph.D. in Biology, from the University of Coimbra, Portugal, in collaboration with Ghent University, in 2011. During her research career obtained several grants is highly international competitive calls, including the MARS award for young scientists funded by The Royal Netherlands Institute for Sea Research (NIOZ) and the Foundation for Science and Technology (FCT, Portugal) grants.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"320124",title:"Dr.",name:"Ana M.M.",middleName:"Marta",surname:"Gonçalves",slug:"ana-m.m.-goncalves",fullName:"Ana M.M. Gonçalves",profilePictureURL:"https://mts.intechopen.com/storage/users/320124/images/system/320124.jpg",biography:"Ana Marta Gonçalves obtained a Ph.D. in Biology with a specialization in Ecology from the University of Coimbra, Portugal, in collaboration with Ghent University, Belgium, in 2011. Currently, she is an auxiliary researcher at the Marine and Environmental Sciences Center (MARE), Portugal, where she is also a member of the Directive Board. Since 2016, she has been a member of the Scientific Council of the Institute for Interdisciplinary Research, University of Coimbra (IIIUC). Dr. Gonçalves holds various administrative and management positions in international networks, societies (e.g., Society of Environmental Toxicology and Chemistry, AIL), and associations (e.g., PROAQUA). She is an editorial board member and reviewer for several indexed journals. She has published more than 70 journal articles, 50 book chapters, and 165 communications in international scientific events. She participated as a member and/or coordinator in more than twenty-five national and international projects and is currently the coordinator of four research projects. She has supervised more than ninety-five national and international undergraduate and graduate students. She has experience as a teacher of university courses and in accredited training sessions for teachers. Additionally, she has coordinated several ocean literacy and environmental education activities for kindergarten and school students. During her research career, Dr. Gonçalves obtained several grants and a MARS award for young scientists funded by The Royal Netherlands Institute for Sea Research (NIOZ).\n\nShe has expertise in biosafety, biochemical pathways, and impacts of stressors in aquatic species. Her research focus is on the valorization of marine resources and their applications in the industrial sector, such as the food and pharmaceutical industries. Her studies also highlight the application of biomarker tools for monitoring and managing aquatic systems",institutionString:"University of Coimbra",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Coimbra",institutionURL:null,country:{name:"Portugal"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"12",title:"Environmental Sciences",slug:"environmental-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"278926",firstName:"Ivana",lastName:"Barac",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/278926/images/8058_n.jpg",email:"ivana.b@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"117",title:"Artificial Neural Networks",subtitle:"Methodological Advances and Biomedical Applications",isOpenForSubmission:!1,hash:null,slug:"artificial-neural-networks-methodological-advances-and-biomedical-applications",bookSignature:"Kenji Suzuki",coverURL:"https://cdn.intechopen.com/books/images_new/117.jpg",editedByType:"Edited by",editors:[{id:"3095",title:"Prof.",name:"Kenji",surname:"Suzuki",slug:"kenji-suzuki",fullName:"Kenji Suzuki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3828",title:"Application of Nanotechnology in Drug Delivery",subtitle:null,isOpenForSubmission:!1,hash:"51a27e7adbfafcfedb6e9683f209cba4",slug:"application-of-nanotechnology-in-drug-delivery",bookSignature:"Ali Demir Sezer",coverURL:"https://cdn.intechopen.com/books/images_new/3828.jpg",editedByType:"Edited by",editors:[{id:"62389",title:"PhD.",name:"Ali Demir",surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"872",title:"Organic Pollutants Ten Years After the Stockholm Convention",subtitle:"Environmental and Analytical Update",isOpenForSubmission:!1,hash:"f01dc7077e1d23f3d8f5454985cafa0a",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",bookSignature:"Tomasz Puzyn and Aleksandra Mostrag-Szlichtyng",coverURL:"https://cdn.intechopen.com/books/images_new/872.jpg",editedByType:"Edited by",editors:[{id:"84887",title:"Dr.",name:"Tomasz",surname:"Puzyn",slug:"tomasz-puzyn",fullName:"Tomasz Puzyn"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3569",title:"Biodegradation",subtitle:"Life of Science",isOpenForSubmission:!1,hash:"bb737eb528a53e5106c7e218d5f12ec6",slug:"biodegradation-life-of-science",bookSignature:"Rolando Chamy and Francisca Rosenkranz",coverURL:"https://cdn.intechopen.com/books/images_new/3569.jpg",editedByType:"Edited by",editors:[{id:"165784",title:"Dr.",name:"Rolando",surname:"Chamy",slug:"rolando-chamy",fullName:"Rolando Chamy"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"46306",title:"Anti-Angiogenesis, Gene Therapy, and Immunotherapy in Malignant Gliomas",doi:"10.5772/58320",slug:"anti-angiogenesis-gene-therapy-and-immunotherapy-in-malignant-gliomas",body:'Malignant gliomas remain associated with poor prognosis and the cause of significant morbidity. In 2010, there was excitement that recent spectacular advancements in our basic understanding of their molecular pathogenesis, angiogenesis and new gene transfer technologies will turn the tide in our favor. The negative results of several costly phase III clinical trials are sobering; unfortunately, they take us back to the drawing board in terms of how we can improve our methods and why brain cancer has this incredible ability to resist therapy. This chapter is organized as follows. We start by an overview of the classification and significance of malignant gliomas. We proceed to reviewing the molecular pathogenesis of angiogenesis and the development of new treatment modalities against anti-angiogenesis targets, some of which were tested in Phase III clinical trials. Before considering immunotherapy strategies and targets for malignant gliomas, we review basic concepts in immunology and discuss the unique immunological features of the central nervous system (CNS). Finally, we discuss gene therapy vectors, strategies, and clinical trials in malignant gliomas. We conclude by an analysis of our current limitations, possible tumor mechanisms for resisting treatments, and what we can do to improve the outcome.
CNS neoplasms are diverse and demonstrate a great deal of variability in terms of clinical presentation, aggressiveness, and response to therapy, with distinctions in histology and cellular and molecular composition being primarily responsible for these variations (Brat and Mapstone 2003; Omuro and DeAngelis 2013). Gliomas are the most frequent primary brain tumors in adults and, of this group, anaplastic astrocytomas and glioblastoma (GBM) are the two highest-grade astrocytic neoplasms (Brat and Mapstone 2003; Ricard, Idbaih et al. 2012). The World Health Organization (WHO) system classifies astrocytomas into four grades. These histological grades are defined by increasing degrees of undifferentiation, anaplasia, and aggressiveness (Louis, Ohgaki et al. 2007; Omuro and DeAngelis 2013). Grade I and II tumors, the lower grade tumors, are well-differentiated with limited cell density. The characteristic features of grade III astrocytomas (anaplastic) are increased vessel and cell density, cellular atypias, and high mitotic activity. Grade IV astrocytoma (GBM) is characterized by vascular proliferation or necrosis (Westphal and Lamszus 2011; Omuro and DeAngelis 2013). Glioblastoma and other malignant gliomas are highly infiltrative tumors. Of note, there is also a WHO grading system for oligodendrogliomas and oligoastrocytomas, but they will not be discussed in this chapter (Omuro and DeAngelis 2013).
The annual incidence of malignant glioma is 5.26 per 100 thousand and this group accounts for approximately 80% of the total number of new cases of malignant primary brain tumors diagnosed in the United States each year (Omuro and DeAngelis 2013). The overall incidence of gliomas is highest among Caucasians, as compared to other ethnic groups, and is higher among males as compared to females (7.2 versus 5.0 per 100,000 persons-years) (Peak and Levin 2010). Malignant gliomas can occur in any age group; however, the incidence increases in the fifth decade of life and peaks at about 65 years of age (Brat and Mapstone 2003). GBM is the most aggressive glioma. Stupp and colleagues reported that 27.2 and 9.8 percent of GBM patients treated by concomitant and adjuvant Temozolamide and radiotherapy remained alive at 2 years and 5 years, respectively (Stupp, Mason et al. 2005; Stupp, Hegi et al. 2009). For patients diagnosed with anaplastic astrocytoma, the median survival time is higher at approximately 2 to 5 years (Wen and Kesari 2008).
The theory that tumor growth is dependent on angiogenesis and that anti-angiogenic therapy may be a potential cancer treatment was first proposed by Dr. Folkman in the 1970s (Folkman 1972). Since that time, understanding the mechanism of action of angiogenesis and developing targeted therapies have been a high priority.
Angiogenesis is the process by which the vascular system is formed through growth of new capillaries from pre-existing vessels (Plate, Scholz et al. 2012). Angiogenesis plays a critical role in key physiologic and formative processes such as embryogenesis, regeneration, and wound healing. Angiogenesis is also involved in various pathologic processes including age-related macular degeneration, rheumatoid arthritis, and tumor growth and development (Wang, Fei et al. 2004).
The process of angiogenesis can be briefly summarized as follows. First, there is vasodilation, in response to nitric oxide, and increased permeability of the existing vessels. This is followed by degradation of the existing vessel\'s basement membrane. Next, endothelial precursor cells migrate to the area and begin to proliferate and mature into capillaries via a balance of both growth and inhibition. The final steps involve recruitment of vascular smooth muscle cells and pericytes that form a new network of mature vessels (Shinkaruk, Bayle et al. 2003).
Although there are numerous factors and signals that contribute to angiogenesis, the chemical signal that seems to play the most critical role in the process is Vascular Endothelial Growth Factor (VEGF). VEGF is a pro-angiogenic growth factor, which is secreted by many cells, including mesenchymal, stromal, and especially tumor cells. VEGF induces the migration of the endothelial precursor cells to sites of angiogenesis and is responsible for their proliferation and differentiation. The VEGF gene is located on chromosome 6p12 and the gene family is composed of five members, namely VEGF-A, VEGF-B, VEGF-C, VEGF-D, and placental-derived growth factor (PlGF). Of these, VEGF-A, B, and PIGF are involved in the development of the vascular system and VEGF-C and D are involved in the development of the lymphatic system (Ahluwalia and Gladson 2010). VEGF primarily signals through its receptor VEGFR2 which is a tyrosine kinase receptor that is expressed by many cells, including endothelial cells, endothelial cell precursors, and tumor cells (Jain, di Tomaso et al. 2007). Other chemical signals that play an important role in angiogenesis are fibroblast growth factor, hepatocyte growth factor (HGF), tumor necrosis factor-alpha (TNF-α), transforming growth factor-beta (TGF-β), angiopoietins, and platelet derived growth factor (PDGF). Their various roles include involvement in extracellular matrix degradation, endothelial proliferation and migration, and neo-vessel stabilization and maturation (Martin and Jiang 2010; Ucuzian, Gassman et al. 2010).
Seven different cellular mechanisms appear to contribute to tumor angiogenesis: (1) classical sprouting angiogenesis, (2) vascular co-option, (3) myeloid cell-driven angiogenesis, (4) vessel intussusception, (5) vasculogenic mimicry, (6) bone marrow derived vasculogenesis, and (7) cancer stem-like cell derived vasculogenesis (Carmeliet and Jain 2011; Plate, Scholz et al. 2012). Of the above-listed mechanisms, the first three seem to have a clear role in glioma vascularization, as supported by pre-clinical tumor models (Plate, Scholz et al. 2012).
The role of the remaining four mechanisms in glioma angiogenesis is not yet fully understood. Briefly,
Bevacizumab (Avastin) is a recombinant humanized monoclonal antibody that targets VEGF. It was the first anti-angiogenesis agent to be approved by the United States Food and Drug Administration (FDA) in 2004. Bevacizumab was initially approved for use in metastatic colorectal cancer, but its clinical use has been extended to other cancer types (Van Meter and Kim 2010). Bevacizumab has six VEGF binding residues that neutralize the ability of VEGF to bind to its target receptors on endothelial cells. This neutralization has been shown to have efficacy not only in
Recently, two phase III clinical trials investigating Bevacizumab as a first-line treatment for newly diagnosed GBM tumors were completed. Unfortunately, both trials were consistent in showing no statistically-significant prolongation of overall survival time (OS) but there was a slight improvement in progression-free survival time (PFS). The two trials had a similar design, namely double-blinded prospective trials where newly diagnosed GBM patients were randomized to either standard of care with Bevacizumab or with placebo; the standard of care consisted of radiation therapy with adjuvant and concomitant Temozolomide. A total of 637 and 921 adult participants were randomized in the Radiation Therapy Oncology Group (RTOG) and AVAglio trials, respectively. The median OS was 16.1 vs. 15.7 months, in the RTOG trial (
The data support the idea that Bevacizumab may be reserved until the time of recurrence as several prospective phase II clinical trials have shown prolongation of the 6-month PFS rates ranging from 25 to 42.6 percent and median OS times from 6.5 to 9.2 months. However, a significant limitation of these trials is that the comparison was made to historical controls (Friedman, Prados et al. 2009; Kreisl, Kim et al. 2009; Raizer, Grimm et al. 2010).
VEGF-Trap (drug name Aflibercept) is a recombinant fusion protein that acts as a decoy receptor for VEGF, thereby blocking its interaction with its normal receptors and interrupting the VEGF signaling pathway (Holash, Davis et al. 2002). VEGF-Trap was developed by incorporating domains of both VEGF receptor 1 and VEGF receptor 2 fused to the constant region of human immunoglobulin G1. VEGF Trap has a high affinity for all isoforms of VEGF-A, as well as for PlGF, another pro-angiogenic agent that primarily acts on VEGF receptor 1 (Holash, Davis et al. 2002; Gomez-Manzano, Holash et al. 2008; de Groot, Lamborn et al. 2011). Preclinical studies demonstrated efficacy of VEGF-trap in glioma animal models (Haapa-Paananen, Chen et al. 2013). de Groot et al. conducted a Phase II study of Aflibercept in recurrent malignant glioma; unfortunately, their results revealed that Aflibercept had minimal activity as a single-agent against recurrent GBM (de Groot, Lamborn et al. 2011).
Sunitinib is a small-molecule inhibitor of VEGF receptors 1 and 2, PDGFR alpha and beta, stem-cell factor receptor (SCFR), fms-like tyrosine kinase 3 (FLT-3), colony-stimulating factor-1 receptor (CSF-1R), and the
Nintedanib (BIBF 1120) is a small, orally available triple angio-kinase inhibitor that targets VEGF receptors 1-3, FGFRs 1-3, and PDGFR alpha and beta. It is still in phase III development, but preclinical models demonstrated effective growth inhibition of both endothelial and perivascular cells when the above listed pathways were simultaneously interrupted (Hilberg, Roth et al. 2008; Muhic, Poulsen et al. 2013). Phase I/II clinical trial results have demonstrated tumor stabilization rates of 46-76%, when tested in various tumor types (Mross, Stefanic et al. 2010; Okamoto, Kaneda et al. 2010; Richeldi, Costabel et al. 2011; Muhic, Poulsen et al. 2013) Muhic et al. conducted an uncontrolled phase II trial assessing the efficacy of single-agent Nintedanib in patients with recurrent GBM who had previously failed 1-2 lines of therapy; unfortunately, this study was stopped prematurely secondary to futility (Muhic, Poulsen et al. 2013).
Vandetanib is a multi-targeted tyrosine kinase inhibitor of VEGF receptor 2, epidermal growth factor receptor (EGFR) 2, and the rearranged-during-transfection oncogene that results in the simultaneous blocking of several pathways, including angiogenesis (Kreisl, McNeill et al. 2012). Preclinical rat and mice glioma xenografts have shown anti-tumor effects of Vandetanib (Sandstrom, Johansson et al. 2004; Rich, Sathornsumetee et al. 2005; Kreisl, McNeill et al. 2012). Kreisl et al. conducted a phase I/II trial of Vandetanib in patients with recurrent malignant glioma and found that it did not have activity as a single agent in this population (Kreisl, McNeill et al. 2012).
Integrins are cell surface receptors that play key roles in mediating the migration of endothelial cells. They are receptors for many different extracellular matrix (ECM) ligands and they play an important role in angiogenesis via the processes of integrin-mediated adhesion, migration, proliferation, survival, and differentiation of cells that form the vasculature (Hynes, Bader et al. 1999; Tchaicha, Mobley et al. 2010). The αv integrin subfamily has five members- αvβ1, αvβ3, αvβ5, αvβ6, and αvβ8- and the αvβ8 member, in particular, has been shown in mouse models to be a central regulator of angiogenesis in the developing brain (McCarty, Monahan-Earley et al. 2002; Zhu, Motejlek et al. 2002; Tchaicha, Reyes et al. 2011).
Cilengitide, a selective inhibitor of αvβ3 and αvβ5 integrins, demonstrated preclinical activity against angiogenesis in GBMs and it is also being investigated clinically (MacDonald, Taga et al. 2001; Onishi, Kurozumi et al. 2013). A phase II study of Cilengitide conducted by Reardon et al. was associated with a median survival of 9.9 months and a PFS rate of 15% in recurrent glioma patients. Unfortunately, the CENTRIC phase III trial revealed that Cilengitide failed to prolong PFS or OS in patients with newly diagnosed GBM and a methylated MGMT promoter (Onishi, Kurozumi et al. 2013).
Notch signaling in host endothelial cells is important for angiogenesis. Recent evidence has shown that delta-like ligand 4 (DLL4), a member of the Notch ligand family, is expressed in tumor cells and can activate Notch signaling in host endothelial cells and can therefore affect the vascular function of tumors. In fact, DLL4 expression appears to be regulated by VEGF and the tumor’s hypoxic microenvironment (Patel, Li et al. 2005; Li, Gong et al. 2012). Increased levels of VEGF lead to an up-regulation of DLL4 expression which results in endothelial cells expressing Notch receptors to down-regulate VEGF-induced vessel sprouting and branching and ultimately resulting in productive and efficient angiogenesis (Li, Gong et al. 2012). Furthermore, it has also been demonstrated that blockade of DLL4 can result in non-productive angiogenesis by causing tumor growth inhibition and a decrease in tissue perfusion (Scehnet, Jiang et al. 2007; Li, Gong et al. 2012). Li et al. recently conducted a study to investigate the role of DLL4 in malignant gliomas, specifically in terms of vascular quantity and quality and showed that DLL4 expression was significantly up-regulated in malignant human gliomas as compared to normal brain tissue. Additionally, they also demonstrated that DLL4-positive malignant glioma tissues have increased proliferation of vascular endothelial cells and pericyte recruitment, as compared to DLL4-negative malignant glioma tissue, and that DLL4-positive tissues had a higher vessel maturation index (VMI). These results provide evidence that DLL4 inhibition may alter glioma vessel maturity and, in turn, may improve the effects of anti-angiogenic agents (Li, Gong et al. 2012).
Gamma secretase is a pre-senilin dependent protease that acts as a regulator of angiogenesis through a series of complex steps that are beyond the scope of this chapter. However, part of its role in angiogenesis is related to Notch signaling (Jain, di Tomaso et al. 2007; Boulton, Cai et al. 2008). RO4929097 is a potent and selective gamma secretase inhibitor of Notch signaling that is being investigated as an anti-tumor agent. Phase I studies have demonstrated safety and phase II studies are underway to assess its role in recurrent GBM when given alone and in combination with Bevacizumab (Tolcher, Messersmith et al. 2012).
TGF-β is a multifunctional protein that is involved in the regulation of proliferation, differentiation, and survival of many cells, including glioma cells and endothelial cells (Bertolino, Deckers et al. 2005). TGF-β1 and TGF-β2, members of the TGF-β family, stimulate expression of VEGF, the plasminogen activator inhibitor, and some metalloproteinases that are involved in vascular remodeling, angiogenesis, and degradation of the extracellular matrix. Animal models demonstrate that inhibitors of TGF-β signaling reduce viability and invasion of gliomas (Kaminska, Kocyk et al. 2013). Fresolimumab, a human monoclonal antibody that inactivates all forms of TGF-β, is being investigated as a potential therapeutic for glioma (Trachtman, Fervenza et al. 2011).
Topoisomerase I is critical for efficient DNA replication and cell division. Topoisomerase I activity is increased in malignant gliomas and inhibitors of topoisomerase I activity, such as Camptothecin, Irinotecan, and the indolocarbazoles, have been tested as potential glioma therapies (Pommier 2006; Feun and Savaraj 2008; Vredenburgh, Desjardins et al. 2009; Lampropoulou, Manioudaki et al. 2011). Recently, Lampropoulou et al. have shown that inhibition of topoisomerase I activity by the pyrrolo[2,3-α]carbazole derivatives may be linked to a decrease in the number of viable glioma and endothelial cells
B-cell specific Moloney murine leukemia virus integration site 1 (Bmi-1) is an oncoprotein that plays a role in the development and progression of cancers including breast, lung, prostate, and interestingly, brain (Jagani, Wiederschain et al. 2010). Bmi-1 is a member of the Polycomb gene family of proteins that function as epigenetic silencers of genes that control self-renewal, differentiation, and proliferation; dysregulation of Bmi-1 has been associated with cancer cell proliferation, invasion, and repression of apoptosis or senescence (Jiang, Song et al. 2013). In particular, Bmi-1 promotes growth and survival of glioma tumor cells (Li, Gong et al. 2010; Jiang, Song et al. 2013); furthermore, Bmi-1 promotes angiogenesis of gliomas by activating the NF-κB signaling pathway
CTO is a triazole orotate formulation of carboxyamidotriazole (CAI), which is an inhibitor of receptor-operated calcium channel-mediated calcium influx. CTO has anti-proliferative, anti-invasive, as well as anti-angiogenic properties in several human cancer cell lines including glioblastoma (Ge, Rempel et al. 2000; Fiorio Pla, Grange et al. 2008; Karmali, Maxuitenko et al. 2011). In initial clinical development, CAI was shown to have poor bioavailability, limited efficacy, and high toxicity. CTO, however, appears to have much better bioavailability and less toxicity (Grover, Kelly et al. 2007; Karmali, Maxuitenko et al. 2011).
TRC105 is a novel, first-in-class antibody against endoglin (CD 105), an endothelial cell receptor that is essential to angiogenesis and acts primarily through its effects on TGF-β and BMP-9 signaling. A phase I trial conducted by Rosen et al. demonstrated that this drug is well-tolerated at clinically relevant doses and multiple phase II trials are ongoing to evaluate its potential role in other malignancies, including malignant glioma (Rosen, Hurwitz et al. 2012).
Thalidomide and its analogue Lenalidomide have both been shown to have anti-angiogenic and anti-tumor effects in preclinical models (D\'Amato, Loughnan et al. 1994; Short, Traish et al. 2001). The anti-angiogenic effects are thought to be related to a hepatic metabolite that inhibits endothelial growth, although the exact mechanism is unclear (Short, Traish et al. 2001). Additionally, an early clinical trial conducted by Baumann et al. showed that the combination of Thalidomide with Temozolomide appeared to be more effective than Thalidomide alone in the treatment of GBM (Baumann, Bjeljac et al. 2004). Additional studies are underway to examine the role of Thalidomide in combination with other anti-glioma agents.
Tandutinib (MLN0518) is an active inhibitor of type III receptor kinases with activity against PDGF receptors alpha and beta, FLT3, and c-KIT. Its anti-angiogenic effects appear to be mediated by interruption of PDGF/PDGFR. It is currently being investigated in combination therapy with other agents against malignant glioma (Boult, Terkelsen et al. 2013).
Our immune system can be viewed as an intricate balance of opposing functions that lead to either immunity or tolerance. Perturbations that disrupt this stable equilibrium could lead to autoimmune disease or tolerance to malignant cells. In general, the immune system has the ability to recognize and to react to foreign antigens, which leads to their removal as well as to the destruction of cells that express them. Before attempting immunotherapy for cancer, one needs to understand the crucial balancing acts of the immune response that eventually lead to a desired outcome; in addition, the central nervous system has unique features that require special considerations.
In this section, our goals are to introduce the readers to the basics of peripheral immunology focusing on how foreign antigens activate the immune response leading to immunity vs. tolerance. Nevertheless, a detailed discussion of immunity is not within our scope; in some disciplines, we will just be scratching the surface. We will detail antigen processing and presentation, T cell priming, with attention to the synapse between T cells and the antigen-presenting cell (APC) and clonal expansion. Because of our interest in brain tumors, we will compare the systemic immune response to that of the CNS, discussing the historical thoughts of the immune privileges of the CNS and more recent evidence of processing of CNS antigens via the glymphatic pathway. The stage will be set for a discussion of immunotherapy for brain tumors, including priming in the periphery, priming in the CNS, and passive transfer of immunity. The last section lists the clinical trials that employ immunotherapy for brain tumors and their proposed modes of action.
As part of the adaptive immune system, antigens enter the body through epithelium and are immediately met in the infected tissue by APCs, most commonly dendritic cells (DCs), which then process the antigens into protein fragments (Hugues 2010; Joffre, Segura et al. 2012; Abbas, Lichtman et al. 2014). DCs are a type of APC that can induce priming of naïve CD4+ and CD8+ T cells into helper and cytotoxic T cells through a series of steps that include antigen processing, antigen presentation, and interactions with co-stimulatory molecules, in addition to the secretion of various cytokines (Hivroz, Chemin et al. 2012). If not processed locally by an APC, the antigens drain into lymph nodes via lymphatic vessels where an APC will be waiting (Abbas, Lichtman et al. 2014). These antigens are processed internally through degradation in the cytosol, processing in the endoplasmic reticulum, and transportation to the cell surface by the Golgi apparatus (Joffre, Segura et al. 2012). APCs then travel to the lymph nodes, where naïve T cells can recognize displayed protein fragments of antigens (Abbas, Lichtman et al. 2014). DCs serve as the most specialized of the APCs and assist in differentiating naïve T cells into both effector and memory cells. Once activated, effector cells then travel via the blood stream to the site of infection where they can recognize antigens being presented by other types of cells and initiate cytotoxic responses (Abbas, Lichtman et al. 2014).
All nucleated cells in the body display a major histocompatibility complex (MHC) I molecule for presenting processed pathogens or infected cells to T lymphocytes once detected (Joffre, Segura et al. 2012). Only CD8+ T cells bear receptors for MHC I; CD4+ T cells bear receptors for MHC II, typically expressed by dendritic cells, macrophages, and B cells (Abbas, Lichtman et al. 2014). Nucleated cells produce peptide antigens from viruses living in the cell, phagocytosed and endocytosed organisms, and proteins derived from mutated self-genes (Joffre, Segura et al. 2012; Abbas, Lichtman et al. 2014). Traditionally, exogenous antigens are presented via MHC II-bearing cells and endogenous antigens by MHC I cells, but cross-presentation permits MHC I cells to present exogenous antigens (Jarry, Jeannin et al. 2013). Additionally, DCs can ingest virally-infected host cells and present the processed antigens via MHC I to CD8+ naïve T cells through cross-priming (Abbas, Lichtman et al. 2014). Similarly, infected DCs can prime CD8+ T cells via MHC I by directly presenting the processed antigen (Joffre, Segura et al. 2012). This cross-priming process has been implicated in immune responses not only to infection, but also to cancer and autoimmune disease (Jarry, Jeannin et al. 2013)
T cell priming by DCs induces activation, cytokine secretion, and clonal proliferation (Mempel, Henrickson et al. 2004). For T-cell activation, both the MHC-bound antigen and the MHC itself must be recognized by the T-cell receptor (TCR) and the co-receptor, respectively (Abbas, Lichtman et al. 2014). This process of priming naïve T cells into effector and helper cells occurs in lymphoid organs (Joffre, Segura et al. 2012). DCs prime the T cells during three stages: 1. Contact for exchange of information between the T cell and the dendrite in the lymphocyte pool, 2. The formation of a stable bond followed by secretion of interleukin-2 and interferon-γ, and 3. Rapid movement and clonal expansion (Mempel, Henrickson et al. 2004).
The synapse between the T cell and the APC requires the interaction of not only the TCR and MHC, but also adhesion molecules and co-receptors to receive signals from the APC (see section 5.1.3 below). Early on during this process various cytokines are released. Certain cytokines lead to clonal expansion of antigen-specific lymphocytes, some of which become differentiated into effector T cells that can remove infected cells. Others differentiate into memory T cells that serve to remain inactive until re-exposed to the same antigen (Abbas, Lichtman et al. 2014). During future encounters, DC-bearing antigens will migrate to the paracortical region in the lymph node to search for a T cell that recognizes its antigen, ultimately activating clonal expansion (Bousso, 2003).
To begin the process of priming T cells, the DC must physically contact the naïve T cell. This process tends to occur in lymphoid tissue, specifically in the draining lymph nodes, spleen, and Peyer’s patches, after infiltration of antigen-APC complexes from peripheral tissue through lymph vessels (Mempel, Henrickson et al. 2004; Hugues 2010). Mempel et al. showed that naïve T cells re-circulate continually between the blood and lymph nodes searching for antigen. In the absence of antigen, the T cells move randomly in the three dimensions in a stop-and-go manner leading to approximately 500-5000 T cells contacting one DC per hour (Mempel, Henrickson et al. 2004; Miller, Hejazi et al. 2004; Hugues 2010). In the absence of antigen, DCs enter the lymph node via the sub-capsular cortex and travel to the paracortex where T cells are localized. Then, the dendrites on DCs scan the T cells which results in transient interactions of up to a few minutes (Hugues 2010). In the presence of antigen, the data supports a three-phase model. First, within a few hours of lymph node entry, contact between naïve T cell-DC with peptide increases in duration, now lasting up to five minutes. Within ten hours of antigen entry into the lymph node, mobility slows dramatically as T cells and DCs form more stable bonds, which will persist from two to twenty four hours. This step also promotes the up-regulation of activation markers. After thirty hours, the bonds separate and this is followed by increased mobility of T cells, corresponding with T cell proliferation (Miller, Wei et al. 2002; Mempel, Henrickson et al. 2004; Hugues 2010).
Naïve T cells are constantly searching for presented antigen on the MHC-antigen complex of mature DCs, from which the T cell and its receptor will require co-stimulation (Mempel, Henrickson et al. 2004). T cell activation relies on the successful synapse of the T cell receptor (TCR) with the peptide-MHC complex on the APC. Additionally, several signaling complexes must connect between the TCR and the adaptor protein linker for activation of T cells and subsequent filamentous actin (F-actin)-dependent TCR cluster formation (Dustin and Depoil 2011). The role of co-stimulatory and co-inhibitory proteins is to modulate the TCR signal to increase or decrease activation of the T cell or to direct the response of that cell down a particular differentiation pathway (Dustin and Depoil 2011).
Antigen recognition and adhesion involves simultaneous recognition of many molecules. In the receptor layer, antigen recognition occurs by the TCR to the peptide with its co-receptor CD4 or CD8 binding MHC II or MHC I, respectively. This is the first step in the signal cascade. For signal transduction and co-stimulation, several transmembrane signaling molecules, including CD3 and ζ chain, form part of the TCR complex and bind the MHC/antigen complex. Additionally, CD28 (and CTLA-4) on the T cell binds B7-1 (CD80)/B7-2 (CD86) on the APC (Dustin and Depoil 2011). The B7 proteins are created by APC in response to an antigen to ensure that T cells are not activated by self-antigens. This key bond is essential for signaling and thus activation of naïve T cells. Concurrently, the CD40 Ligand on the T cell and CD40 on the APC unite and promote increased production of B7 and secretion of cytokines in the APC in order to further encourage T cell activation (Abbas, Lichtman et al. 2014). For adhesion, the T-cell integrin LFA-1 (Leukocyte function-associated antigen 1) binds ICAM-1 (Intercellular adhesion molecule) on the APC (Dustin and Depoil 2011; Abbas, Lichtman et al. 2014).
The co-stimulatory signals play a key role in determining immunity or tolerance. Due to the required co-receptors and signal transduction, many mechanisms are set in place to prevent T cells from activating against self-protein. Through early central tolerance mechanisms designed to prevent autoimmune disease, immature T cells that react to self-proteins undergo apoptosis early in development (Luptrawan, Liu et al. 2008). This activation-induced cell death is assisted through the interaction of Fas, which is expressed everywhere and in high concentration in the thymus, with Fas Ligand on T lymphocytes and NK cells (Maher, Toomey et al. 2002); a similar process results in clonally expanded T cells after they are no longer needed. Similarly, if a T cell encounters an antigen on an APC without the appropriate co-stimulation, it is susceptible to developing tolerance to that antigen such that on future encounters it will ignore it, even if given the appropriate co-stimulation (Luptrawan, Liu et al. 2008; Abbas, Lichtman et al. 2014). On cross-presentation by dendritic cells with MHC I and CD8+ T cells, clonal deletion, functional inactivation (anergy) or programming into a suppressive (regulatory) T cell phenotype can result (Joffre, Segura et al. 2012).
To amplify activation, T cells and APCs secrete various cytokines. Initially, T cells secrete interleukin-2 (IL-2), which facilitates the binding of IL-2 by augmenting the presence of IL-2 receptors. IL-2, by acting on the T cell that secreted it, supports the production of T cells specific to the antigen. IL-2 is also needed to maintain regulatory T cells (Abbas, Lichtman et al. 2014).
Clonal expansion transpires in 1-2 days, leading to the creation of antigen-specific CD4+ and CD8+ cells. CD8+ cells develop into effector cells that ultimately migrate to the site of infection to interact with the specific antigen to which they were primed. CD4+ cells further develop into T helper I (Th1) and T helper 2 (Th2) lymphocytes. Antigen-exposed macrophages and DCs release IL-12 and natural killer cells secrete interferon-γ, thereby promoting the differentiation of Th 1 cells (Abbas, Lichtman et al. 2014). Th1 cells secrete IL-2, interferon-γ, and lymphotoxin-a which leads to type 1 immunity with enhanced macrophage activation and phagocytosis (Spellberg and Edwards 2001). Interferon-γ also increases the expression of MHC I and II molecules to amplify antigen presentation (Spellberg and Edwards 2001). Th2 cells, stimulated by IL-4, also release IL-4, IL-5, IL-9, IL-10, and IL-13 promoting production of antibodies and type 2 immunity, which minimizes phagocytosis and decreases inflammation (Spellberg and Edwards 2001). In times of overwhelming systemic response or immunosuppression, a type 2 response can supersede the appropriate type 1 response (Spellberg and Edwards 2001).
All the aforementioned steps have to be executed flawlessly to achieve immunity against a tumor or a tumor antigen. The body is set up to have low affinity to self-antigens, as would be expressed on tumor cells (Luptrawan, Liu et al. 2008). Along those lines, dendritic cells, which have been discovered in tumors, play a large role in presentation of tumor antigens; however, that does not necessarily predict the nature of the immune response. In particular, any flaw in dendritic cells, from cross presentation to IL-12 production, will lead to tolerance and impaired CD8+ T cell response to tumors (Joffre, Segura et al. 2012).
The CNS was once thought to be immunologically-privileged because of its unique immunological features, including 1) lack of immunological surveillance due to low expression of MHC molecules, 2) lack of distinct lymphatic drainage, and 3) protection by the blood brain barrier (BBB), which limits the movement of naïve T cells into the CNS (Chavarria and Cardenas 2013). Nonetheless, the CNS has more recently been discovered to have a finely tuned immune surveillance managed by APC, believed to be microglia, DC, perivascular macrophages and meningeal dendritic cells (Fathallah-Shaykh, Gao et al. 1998; Yang, Han et al. 2010; D\'Agostino, Gottfried-Blackmore et al. 2012; Ousman and Kubes 2012; Romo-Gonzalez, Chavarria et al. 2012; Chavarria and Cardenas 2013). Furthermore, more recent evidence, as can be found in gliomas and multiple sclerosis, suggests that the CNS microglia coordinate with peripheral T cells and APC (Yang, Han et al. 2010). Such evidence describes more active inspection of the BBB in specific regions of the brain most notably the meninges, ventricles, circumventricular organs, and choroid plexus (D\'Agostino, Gottfried-Blackmore et al. 2012).
In addition to resident microglia, the primary immune cell in the CNS, peripheral immune cells including peripherally activated T lymphocytes, macrophages, and DC circulate in small numbers within the CNS. They are predominantly in specialized CNS compartments located outside the parenchyma with ability to gain access to the parenchyma through various mechanisms that include the choroid plexus, perivascular or Virchow-Robin spaces, meningeal vessel branch points into the subarachnoid space, and through post-capillary venules (Ousman and Kubes 2012). As in the periphery, these cells are capable of mounting an activated immune response if they encounter an antigen (Ousman and Kubes 2012; Jarry, Jeannin et al. 2013). Additionally, perivascular macrophages sample CSF and can phagocytose suspected antigens (Ousman and Kubes 2012). There is also separate evidence of drainage of CNS antigens to deep cervical lymph nodes, based on intracranial injection of labeled antigen (D\'Agostino, Gottfried-Blackmore et al. 2012; Ousman and Kubes 2012). Despite controversy over poor immune surveillance due to low expression of MHC II, it is thought that pre-activated T cells can release IFN- γ and TNF-α to simulate MHC II molecule expression (Romo-Gonzalez, Chavarria et al. 2012). Also of debate is the function of central antigen presentation by central DCs. It is known that the integrity of the BBB is compromised during times of infection, trauma, aging, and autoimmunity due to weakening of the vascular endothelium as a result of cytokine release by astrocytes and microglia (D\'Agostino, Gottfried-Blackmore et al. 2012; Romo-Gonzalez, Chavarria et al. 2012).
Microglia play a large role in both innate and adaptive immune responses, in addition to regulatory roles in the CNS (Yang, Han et al. 2010). They comprise 5-12% of all CNS cells and are uniformly distributed throughout the CNS parenchyma (D\'Agostino, Gottfried-Blackmore et al. 2012). Similar to the peripheral immune APCs, microglia express MHC I and II molecules and CD 80/86 and CD40 co-stimulatory molecules that once activated, proliferate and phagocytose in response to both CD4+ and CD8+ T cells (Fathallah-Shaykh, Gao et al. 1998; Yang, Han et al. 2010; Ousman and Kubes 2012). In the latent state, microglia survey the microenvironment via pinocytosis. Once they sense infection, neuronal injury, or neurodegenerative disease, they up-regulate the expression of MHC and co-stimulatory molecules and release cytokines including IL-1, IL-6, and TNF-alpha as well as neurotrophic and cytotoxic factors, and chemokines for lymphocyte recruitment (Yang, Han et al. 2010; Jarry, Jeannin et al. 2013). These pro-inflammatory cytokines then make the BBB more soluble for entry of peripheral immune cells and potentially naïve T lymphocytes (Yang, Han et al. 2010). Microglia’s phagocytic and cytotoxic features are also up-regulated with the triggering of an immune response (Yang, Han et al. 2010). As in the peripheral immune response, microglia CD80/CD86 and CD40 bind the T cell’s CD28 and CD40L, respectively (Yang, Han et al. 2010). IFN- γ release sustains this response and promotes phagocytosis and direct tumor-cell cytotoxicity (Fathallah-Shaykh, Gao et al. 1998; Yang, Han et al. 2010; D\'Agostino, Gottfried-Blackmore et al. 2012).
Similar to peripheral tolerance, if there is insufficient co-stimulatory response, the interaction of Fas ligand (FASL) on microglia and Fas receptor on the T cell leads to activation-induced T cell apoptosis. Microglia also express FAS molecules themselves, which induce apoptosis upon binding FASL (Yang, Han et al. 2010). Nitric oxide released by microglia in response to activation can also potentiate effector cell death (Yang, Han et al. 2010). Furthermore, microglia display B7-H1 molecules which also support immunosuppression by stimulating T cell apoptosis (Yang, Han et al. 2010). Additionally, glycoprotein CD200 down regulates activated microglia (via CD200 ligand on microglia) and perivascular macrophages in the CNS, acting as an anti-inflammatory and serving to keep microglia in a quiescent state (Ousman and Kubes 2012; Chavarria and Cardenas 2013).
The CNS lacks lymphoid tissue. For appropriate immune surveillance, both antigens and APC must be able to travel to lymphoid tissue, ideally via lymphatic channels, for T cell priming (Romo-Gonzalez, Chavarria et al. 2012). For small and hydrophobic molecules as well as transporter substrates, exit through the BBB is easy. Other substances are cleared from CSF through arachnoid granulations or peripheral lymphatics on cranial nerves. Clearance of large particles and matter deep within the parenchyma is more difficult and is ascribed to a high rate of flow of interstitial fluid (Iliff and Nedergaard 2013). This flow of fluid transports antigens from the brain parenchyma for presentation in cervical lymph nodes (Romo-Gonzalez, Chavarria et al. 2012). Through what has been termed the glio-vascular or glymphatic pathway, interstitial solutes are cleared from the brain to the peripheral lymphatic system via perivascular water channels from the para-arterial CSF influx pathway through the interstitium and along the para-venous clearance route (Iliff and Nedergaard 2013). Once filtered from the CNS, antigens are captured by APCs in the cervical lymph nodes and activate lymphocytes that then migrate to the CNS in search for remaining antigens (Romo-Gonzalez, Chavarria et al. 2012). As noted above, several hypotheses for lymph-like drainage of antigens exist including efferent flow via CSF and interstitial fluid past the optic, trigeminal, and acoustic nerves to the cervical lymph nodes, reabsorption through arachnoid villi into the venous sinuses, and through perivascular APC including macrophages and DC (Romo-Gonzalez, Chavarria et al. 2012).
A more recent study by Jarry et al. showed that adult microglia can cross-present antigen to naïve CD8+ T cells for priming if there is appropriate microglial activation (Jarry, Jeannin et al. 2013). Their study involved injecting naïve T cells into the brain, as the natural presence of naïve T cells in the brain is limited, with restriction of entry to activated T cells instead. Their study suggests that if naïve T lymphocytes are given the ability for entry into the brain, typically during stressful inflammatory illnesses, coupled with the appropriate microglial response, cross-priming of naïve T cells is possible (Jarry, Jeannin et al. 2013).
Glioma-associated microglia/macrophages cannot mount a successful anti-tumor T cell response (Yang, Han et al. 2010). Microglia, along with some T lymphocytes, infiltrate gliomas in a pattern that was initially thought to be an immune response against tumor cells but has been more recently realized to actually encourage tumor growth by promoting immunosuppression (Yang, Han et al. 2010). Pathological examination typically reveals a large numbers of microglia dispersed within the tumor and not just in necrotic tissue (Yang, Han et al. 2010). The data of Okada et al. suggest that the glioma-infiltrating cells may compose up to 30% of the glioma tumor, correlating in volume with degree of malignancy (Okada, Kohanbash et al. 2009). The lack of phagocytosis by the microglia is thought be related to decreased expression of MHC II and co-stimulatory molecules CD80/86 and CD40, thus prohibiting appropriate T cell activation (Okada, Kohanbash et al. 2009; Yang, Han et al. 2010). Glioma cells appear to attract microglia by secreting chemoattractants and growth factors including Macrophage Chemoattractive Protein-1 (MCP-1), which binds to the microglial MCP-1 receptor, as well as colony stimulating factor-1, Granulocyte-CSF, and hepatocyte growth factor/scatter factor (Yang, Han et al. 2010). Microglial secretion of epidermal growth factor (EGF), VEGF and MCP-1 promote tumor propagation and angiogenesis (Okada, Kohanbash et al. 2009; Yang, Han et al. 2010). Additionally, the release by microglia of MMPs assists in tumor dispersal (Yang, Han et al. 2010). Interestingly, tumors depleted of microglia actually become less invasive (Okada, Kohanbash et al. 2009).
In addition to altering the response of microglial cells, gliomas take an active role in down-regulating the immune response. Recent data has shown that reduced phagocytic activity by glioma-associated microglia stems from defective antigen presentation for T cell activation due to decreased MHC II expression as well as suppression of pro-inflammatory cytokine (TNF-α) release, especially in high-grade gliomas (Yang, Han et al. 2010). Instead, glioma cells favor TGF- β, IL-10, and PGE2 secretion, which inhibits both cytotoxic function of T cells and IFN-γ-induced MHC II expression in microglial cells (Luptrawan, Liu et al. 2008; Okada, Kohanbash et al. 2009; Yang, Han et al. 2010). PGE2 specifically inhibits T cell activation, suppresses natural killers cell activity, and favors a Th2 response by increasing cytokines Il-4, Il-10, and Il-6 while suppressing the Th1 cytokines Il-2, IFN-gamma, and TNF-α (Luptrawan, Liu et al. 2008). Additionally, glioma cells do not express adequate co-stimulatory molecules required for appropriate T cell activation, potentiating anergy through tolerance (Luptrawan, Liu et al. 2008). A homologue to the B7 family (B71/2 (CD80/86)), B7-H1 expression on the surface of glioma cells inhibits CD4+ and CD8+ T cell activation. IFN- γ not only enhances antigen processing but also promotes increased B7-H1 expression, ultimately reducing T lymphocyte effectiveness in the presence of gliomas (Okada, Kohanbash et al. 2009). Additionally, some gliomas display Fas-L leading to apoptosis of Fas-labeled T cells contacting the tumor cells (Okada, Kohanbash et al. 2009).
Immunotherapy for malignant gliomas is based on various strategies aimed at the induction of anti-tumor immunity. Nevertheless, though curing a mouse from a brain tumor using immunotherapy is rather easy, this goal has proven to be more challenging in humans especially when coupled with the globally impaired immune response and increased tumor tolerance in patients with GBM (Luptrawan, Liu et al. 2008). Because of the aforementioned data, the goal of immunotherapy for gliomas should be not only to activate the cytotoxic T cell response, but also to counteract the active immunological depressive effects by the tumor itself. We will not list an exhaustive search of all immunotherapeutic strategies but will instead discuss an outline of the approaches than can be used. A thorough discussion can be found in Okada et al. (Okada, Kohanbash et al. 2009). Here, we will emphasize the different categories and discuss limitations of immunotherapy.
Initiating an immune response against tumors is typically difficult due to poor antigen presentation and the active immunosuppressive effects by tumor cells (Luptrawan, Liu et al. 2008). Peripheral vaccination has been performed using purified antigen and irradiated genetically modified tumor cells. Through vaccination with a tumor antigen, one hopes to induce an immune response peripherally, which translates to CNS immunity as activated T cells cross the BBB. This goal may be achieved by processing the antigen via APCs at the subcutaneous injection site, migration to lymph nodes, and priming naïve T cells. Nevertheless, choosing an appropriate antigen is crucial so as to avoid an autoimmune response causing encephalitis (Okada, Kohanbash et al. 2009).
Peptide-based vaccines (see Table 1) for glioma epitopes are synthetically derived for specific antigens and run less risk of autoimmune encephalitis. This process has the potential to be individually tailored based on assessment of the patient’s peripheral blood for positive response to the various antigens (Okada, Kohanbash et al. 2009). Many antigen epitopes exist and will be briefly covered. Il-13Rα2 appears as a membrane protein in more than 80% of gliomas but not in normal brain tissue, making it a target for immunotherapy (Debinski, Gibo et al. 1999). The tyrosine kinase receptor EphA2, which is involved in cell-cell contact in normal cells, contributes to malignant nature of tumor cells (Kinch, Moore et al. 2003). T-cell epitopes of Survivin, an apoptosis inhibitor protein present in several human cancers, have shown promise via vaccination for patients with pancreatic cancer and melanoma (Otto, Andersen et al. 2005; Wobser, Keikavoussi et al. 2006). These proteins are found in 100% of astrocytomas but not in normal brain tissue (Uematsu, Ohsawa et al. 2005; Okada, Kohanbash et al. 2009). Wilm’s Tumor 1 gene, a transcription factor oncogene, is also present in many tumor types, including the majority of GBM but not in normal glial cells (Sugiyama 2002). The transcriptional cofactor family SOX, Sry-Related High-Mobility Group Box, is present in normal tissue development and is upregulated in various tumors, including gliomas. Vaccinations with SOX have been shown to be therapeutic in mice with gliomas (Ueda, Kinoshita et al. 2008; Okada, Kohanbash et al. 2009). HER-2/neu, in the EGFR family, promotes tumor growth by inhibiting apoptosis and stimulating migration, adhesion, and angiogenesis in many tumor-types, most notably breast, ovarian, colorectal, pancreatic, renal-cell, and GBM (Meric-Bernstam and Hung 2006; Okada, Kohanbash et al. 2009). Additional epitopes have been identified involving EGFR variant III, found in 30-50% of GBMs, Squamous Cell Carcinoma Antigen Recognized by T Cells 1 (SART-1), a gene-coding tumor antigen in many cancer types, including glioma but not in normal tissue, and Cytomegalovirus, which infects a large number of gliomas and may contribute to glioma pathogenesis (Cobbs, Harkins et al. 2002; Saikali, Avril et al. 2007; Okada, Kohanbash et al. 2009).
In addition to using purified antigen as above, whole glioma cells may be used for vaccination (See Table 2). In this process, tumor cells, either autologous or allogeneic, are grown
As a means of bypassing local antigen presentation at the site of the tumor, DC vaccination has also been a source for many clinical trials with various techniques of uniting the DC with the antigen (See Table 3). Some have used DCs pulsed with autologous glioma cell peptides and have shown promise when the DC vaccines were given both into the tumor and subcutaneously (Yamanaka, Homma et al. 2005; Okada, Kohanbash et al. 2009; D\'Agostino, Gottfried-Blackmore et al. 2012). Through loading autologous DCs, one can use either tumor lysates, apoptotic tumor cells or tumor-based cDNA (D\'Agostino, Gottfried-Blackmore et al. 2012). DC-glioma cell fusion, to create a multinucleated cell such that the DC can present tumor antigen, has also shown potential (D\'Agostino, Gottfried-Blackmore et al. 2012). The results of DC vaccinations are encouraging; in one study, repeat surgical resection showed infiltration into the tumor of appropriate CD8+ T cells (Luptrawan, Liu et al. 2008). Furthermore, DC vaccination was well tolerated by 12 GBM patients; the median OS was 23.4 months as compared to 18.3 months in controls. In addition to best method of preparing the vaccine, several questions remain unanswered including the best DC subtypes to use, ideal conditions and co-stimulation, prime route of administration, and the correct vaccination dosing and frequency (Okada, Kohanbash et al. 2009). Additional obstacles include the initial immune state of the host prior to vaccination; for example, patients with increased tumor burden have elevated levels of TGF- β and Il-10, which inhibit entry into a cytotoxic response (Luptrawan, Liu et al. 2008).
Fathallah-Shaykh et al. showed that priming in the brain elicits an anti-tumor response leading to destruction of the brain tumor as well as to anti-tumor systemic immunity in animals (Fathallah-Shaykh, Gao et al. 1998). The basic mechanisms for eliciting such an immune response in the CNS are detailed above. One possible method consists of injecting DCs directly into the tumor; the goal is to enhance local antigen processing followed by glymphatic drainage and priming in cervical lymph nodes (Luptrawan, Liu et al. 2008). Early preliminary results in humans are encouraging. In a study of 10 patients with glioma, half received subcutaneous vaccination of pulsed DC with autologous tumor lysate and the other half received both subcutaneous vaccine and intra-tumoral injection of immature autologous DC. On follow-up imaging, the patients who received both therapies showed diminution of contrast-enhancing tumor (Yamanaka, Yajima et al. 2003; Luptrawan, Liu et al. 2008). A phase I/II trial including 24 patients with Grade III or IV glioma at first recurrence evaluated the safety and benefits of DC immunotherapy given either via subcutaneous injection near a cervical lymph node or both subcutaneously and intra-tumorally via an Ommaya reservoir. The study revealed that patients with both intratumoral and intradermal administrations had a longer survival times than patients with intradermal administration only (Yamanaka, Homma et al. 2005; Luptrawan, Liu et al. 2008). Another method, which has shown promise in animal models was used by Choi et al and involves the injection of chimeric antigen receptors-transduced T cells targeting EGFR variant III into mice gliomas. The results show a dose-dependent increase in survival, while at the same time sparing cytotoxicity to normal brain tissue (Choi, Suryadevara et al. 2013).
In passive immunotherapy, the patient is given
The use of monoclonal antibodies (see Table 4) for CNS targets necessitates overcoming important barriers (Okada, Kohanbash et al. 2009); for instance, the size of monoclonal antibodies, around 150kDa, impairs their diffusion into the CNS. However, evidence suggests that the BBB both in normal patients and those with malignancy tolerates the entry of monoclonal antibodies (Chen and Mitchell 2012). Additionally, antibodies bound to the tumor boundary layer create a concentration gradient that makes it difficult for additional antibodies to permeate against a concentration gradient, essentially not being able to reach the core of the tumor. This option may be more valid for use in conjunction with surgical resection and convection enhanced delivery (CED) where the agent of choice is given at high pressure and in bulk through an intracranial catheter into the brain tumor and parenchyma (Okada, Kohanbash et al. 2009). As opposed to using diffusion, this method uses bulk flow and has been implemented in several clinical trials. While bypassing the BBB and limiting systemic toxicities, a limitation of this method is that it can be slow and thus difficult to deliver high volumes of molecules (Bobo, Laske et al. 1994; Ferguson and Lesniak 2007; Okada, Kohanbash et al. 2009).
Several targets for monoclonal antibodies have been investigated in clinical trials. Epidermal growth factor receptor (EGFR) antibodies target the EGFR on glioma cells, over-expressed on 40-50% of tumors (Rivera, Vega-Villegas et al. 2008; Okada, Kohanbash et al. 2009). EGFR is a transmembrane receptor responsible for initiating gene transcription and thus increased tumor growth and spread(Baselga 2001). A variant of EGFR, EGFR variant III, is often found in GBM (Batra, Castelino-Prabhu et al. 1995). The monoclonal antibody Cetuximab inhibits this EGFR pathway, including glioma cells expression variant EGFR (Fukai, Nishio et al. 2008). Nimotuzumab works similarly (Ramos, Figueredo et al. 2006).
Radio-immunotherapy (RIT) via radionucleotides conjugated to monoclonal antibodies is another technique for targeting specific tumor antigens (see Table 5). This technique delivers localized, cytotoxic radiation to tumor cells resulting in cell death. This method is used concurrently with surgical resection into the surgical cavity. Specifically, antitenascin has been most studied for RIT due to high prevalence of the glycoprotein tenascin on the surface of high-grade gliomas, including 90% of GBMs (Zalutsky 2004). Duke University has developed the specific antibody 81C6, which has shown promise when given into the tumor cavity concurrently with resection (Zalutsky, Moseley et al. 1989; Okada, Kohanbash et al. 2009). Several other clinical trials have used similar approaches with RIT and glycoprotein tenascin. Other targets include the DNA/Histone H1 complex, the extra domain B of fibronectin, and the alpha chain of the IL-2 receptor (Okada, Kohanbash et al. 2009).
Via coupled targeted toxins, cytokines fused with toxins can be delivered to tumor cells (see Table 6). Specifically, IL-4R and IL-13Rα2 expression is increased in high-grade gliomas making them ideal targets for chimeric fused proteins. For these chimeras, pseudomonas exotoxin is fused to IL-4 and IL-13, creating IL4-PE and IL13-PE, respectively (Debinski, Obiri et al. 1995; Joshi, Leland et al. 2001). These proteins are then delivered via CED (Okada, Kohanbash et al. 2009). By combining toxins with cytokines, one can target tumor receptors and induce cytotoxicity. Additional chimeras have been made using diphtheria toxin, which bonds to transferring, and TGFα, which binds to Pseudomonas exotoxin.
For the adoptive transfer of tumor-reactive autologous cytotoxic T lymphocytes (see Table 7), various techniques are used to create an antigen-specific receptor on a CD8+ T cell that can prompt T cell activation (Okada, Kohanbash et al. 2009). This process has previously been used in conjunction with IL-2 infusion for the treatment of melanoma. Antigen-specific cytotoxic T cells from peripheral blood or from tumor nodules are isolated from the patient. The T cells will then undergo clonal expansion
Some obstacles with the adoptive process include creating T cells with TCR of appropriate avidity (Okada, Kohanbash et al. 2009). Further difficulties arise with T cell reproduction; many of these specialized T cell populations are thought to be terminally differentiated and thus unable to propagate long-term existence (Wherry, Teichgraber et al. 2003). Additionally, these transgenic T cells must also overcome the immunosuppressive features of GBM and, in fact, do so better than natural T cells due to the ability to manipulate them and strengthen them with specific chemokines and integrin receptors (Okada, Kohanbash et al. 2009).
The limitations of immunotherapy for malignant gliomas include: 1) physical obstacles of drug administration due to the BBB, 2) direct and indirect down-regulation of the immune response by gliomas, 3) the high mutation rate of the tumor, which will select for tumor cells that do not express the target of the immune response. In fact, cancer genomes are unstable as evidenced by microsatellite instability of the tumor cells, which aides in tumor evolution and progression (van de Kelft and Verlooy 1994; Yip, Miao et al. 2009; Milinkovic, Bankovic et al. 2012). Additional limitations include difficulty in monitoring the tumor response to treatment because inducing an inflammatory response may create MRI changes that mimic tumor growth. Immunotherapy is also complicated by the common use of steroids, which suppress the immune system.
In our opinion, the most significant limitation of immunotherapy is the limited understanding of the dynamics of the interactions of cytotoxic T lymphocytes with the tumor microenvironment. Clinical trials using immunotherapy have failed to show a clinically significant therapeutic response despite demonstrating the presence of circulating tumor-specific CTL (Lasalvia-Prisco, Garcia-Giralt et al. 2008; Leffers, Lambeck et al. 2009). The key obstacle that we need to overcome is not the induction of a systemic anti-tumor immune response, but making that immune response effective within the tumor microenvironment
• A Pilot Study of Glioma Associated Antigen Vaccines in Conjunction With Poly-ICLC in Pediatric Gliomas | \n
• A Study of Rindopepimut/GM-CSF in Patients With Relapsed EGFRvIII-Positive Glioblastoma | \n
• Biological Therapy Following Surgery and Radiation Therapy in Treating Patients With Primary or Recurrent Astrocytoma or Oligodendroglioma | \n
• Effects of Vaccinations With HLA-A2-Restricted Glioma Antigen-Peptides in Combination With Poly-ICLC for Adults With High-Risk WHO Grade II Astrocytomas and Oligo-Astrocytomas | \n
• GP96 Heat Shock Protein-Peptide Complex Vaccine in Treating Patients With Recurrent or Progressive Glioma | \n
• HLA-A2-Restricted Glioma Antigen-Peptides Vaccinations With Poly-ICLC for Recurrent WHO Grade II Gliomas | \n
• HSPPC-96 Vaccine With Temozolomide in Patients With Newly Diagnosed GBM | \n
• Immunotherapy for Recurrent Ependymomas in Children Treatment for Recurrent Ependymomas Using HLA-A2 Restricted Tumor Antigen Peptides in Combination With Imiquimod | \n
• Peptide Vaccine for Glioblastoma Against Cytomegalovirus Antigens | \n
• Peptide-based Glioma Vaccine IMA950 in Patients With Glioblastoma | \n
• Phase I Study of Safety and Immunogenicity of ADU-623 | \n
• Phase I/II Trial of IMA950 Multi-peptide Vaccine Plus Poly-ICLC in Glioblastoma | \n
• Phase II Study of Rindopepimut (CDX-110) in Patients With Glioblastoma Multiforme | \n
• Phase III Study of Rindopepimut/GM-CSF in Patients With Newly Diagnosed Glioblastoma (uses EGFR) | \n
• Poliovirus Vaccine for Recurrent Glioblastoma Multiforme (GBM) | \n
• Vaccine Therapy and Sargramostim in Treating Patients With Malignant Glioma | \n
• Vaccine Therapy and Sargramostim in Treating Patients With Sarcoma or Brain Tumor | \n
• Vaccine Therapy in Treating Patients With Newly Diagnosed Glioblastoma Multiforme | \n
• Vaccine Therapy, Temozolomide, and Radiation Therapy in Treating Patients With Newly Diagnosed Glioblastoma Multiforme | \n
Tumor Antigen Vaccine
www.clinicaltrials.gov
The above table lists several current clinical trials using tumor-derived antigens for developing peripheral vaccination against CNS tumors. See section 4.1 above.
• Chemotherapy and Vaccine Therapy Followed by Bone Marrow or Peripheral Stem Cell Transplantation and Interleukin-2 in Treating Patients With Recurrent or Refractory Brain Cancer | \n
• Derivation of Tumor Specific Hybridomas | \n
• Imiquimod/Brain Tumor Initiating Cell (BTIC) Vaccine in Brain Stem Glioma | \n
• Phase I/II Study To Test The Safety and Efficacy of TVI-Brain-1 As A Treatment For Recurrent Grade IV Glioma | \n
• Pilot Immunotherapy Trial for Recurrent Malignant Gliomas | \n
• Study to Evaluate the Effects of Imiquimod and Tumor Lysate Vaccine Immunotherapy in Adults With High Risk or Recurrent/Post-Chemotherapy WHO Grade II Gliomas | \n
• Study To Test the Safety and Efficacy of TVI-Brain-1 As A Treatment for Recurrent Grade IV Glioma | \n
• Vaccination With Lethally Irradiated Glioma Cells Mixed With GM-K562 Cells in Patients Undergoing Craniotomy For Recurrent Tumor | \n
Tumor Lysate or Cell Vaccine
The above table lists several current clinical trials using whole tumor cells to develop peripheral vaccines against multiple antigens found on CNS tumors. See section 4.1 above.
• A Study of ICT-107 Immunotherapy in Glioblastoma Multiforme (GBM) | \n
• Biological Therapy in Treating Patients With Glioblastoma Multiforme | \n
• Daclizumab in Treating Patients With Newly Diagnosed Glioblastoma Multiforme Undergoing Targeted Immunotherapy and Temozolomide-Caused Lymphopenia | \n
• Dendritic Cell Cancer Vaccine for High-grade Glioma | \n
• Dendritic Cell Vaccine For Malignant Glioma and Glioblastoma Multiforme in Adult and Pediatric Subjects | \n
• Dendritic Cell Vaccine for Patients With Brain Tumors | \n
• Dendritic Cell Vaccine Therapy With In Situ Maturation in Pediatric Brain Tumors | \n
• Dendritic Cell Vaccine With Imiquimod for Patients With Malignant Glioma | \n
• Efficacy & Safety of Autologous Dendritic Cell Vaccination in Glioblastoma Multiforme After Complete Surgical Resection | \n
• Immunotherapy for Patients With Brain Stem Glioma and Glioblastoma | \n
• Phase II Feasibility Study of Dendritic Cell Vaccination for Newly Diagnosed Glioblastoma Multiforme | \n
• Proteome-based Personalized Immunotherapy of Glioblastoma | \n
• Safe Study of Dendritic Cell (DC) Based Therapy Targeting Tumor Stem Cells in Glioblastoma | \n
• Study of a Drug [DCVax®-L] to Treat Newly Diagnosed GBM Brain Cancer | \n
• Study of DC Vaccination Against Glioblastoma | \n
• Surgical Resection With Gliadel Wafer Followed by Dendritic Cells Vaccination for Malignant Glioma Patients | \n
• Tumor Lysate Pulsed Dendritic Cell Immunotherapy for Patients With Brain Tumors | \n
• Vaccination With Dendritic Cells Loaded With Brain Tumor Stem Cells for Progressive Malignant Brain Tumor | \n
• Vaccination-Dendritic Cells With Peptides for Recurrent Malignant Gliomas | \n
• Vaccine for Patients With Newly Diagnosed or Recurrent Low-Grade Glioma | \n
• Vaccine Immunotherapy for Recurrent Medulloblastoma and Primitive Neuroectodermal Tumor | \n
• Vaccine Therapy and Temozolomide in Treating Patients With Newly Diagnosed Glioblastoma | \n
• Vaccine Therapy in Treating Patients Undergoing Surgery for Recurrent Glioblastoma Multiforme | \n
• Vaccine Therapy in Treating Patients With Malignant Glioma | \n
• Vaccine Therapy in Treating Patients With Newly Diagnosed Glioblastoma Multiforme | \n
• Vaccine Therapy in Treating Young Patients Who Are Undergoing Surgery for Malignant Glioma | \n
• Vaccine Therapy With or Without Sirolimus in Treating Patients With NY-ESO-1 Expressing Solid Tumors | \n
Dendritic Cell Vaccine
The above table lists several current clinical trials using dendritic cells combined with tumor antigen as a method of delivering peripheral vaccination against CNS tumors. See section 4.1 above.
• A Phase 2 Evaluation of TRC105 in Combination with Bevacizumab for the Treatment of Recurrent or Progressive Glioblastoma That Has Progressed on Bevacizumab | \n
• Chemotherapy, Radiation Therapy, and Vaccine Therapy With Basiliximab in Treating Patients With Glioblastoma Multiforme That Has Been Removed by Surgery | \n
• Use of Racotumomab in Patients With Pediatric Tumors Expressing N-glycolylated Gangliosides (anti-idiotype antibody) | \n
• Vaccine Therapy With Bevacizumab Versus Bevacizumab Alone in Treating Patients With Recurrent Glioblastoma Multiforme That Can Be Removed by Surgery | \n
Vaccine with monoclonal antibody
The above table lists several current clinical trials using passive immunotherapy by means of delivering monoclonal antibodies directed at tumor cells. See section 4.3.1 above.
• Convection-Enhanced Delivery of 124I-8H9 for Patients With Non-Progressive Diffuse Pontine Gliomas Previously Treated With External Beam Radiation Therapy | \n
• Intrathecal Radioimmunotherapy, Radiation Therapy, and Chemotherapy After Surgery in Treating Patients with Medullolblastoma | \n
• Radiolabeled Monoclonal Antibody Therapy in Treating Patients with Primary or Metastatic Brain Tumors | \n
• Radiosurgery Plus Bevacizumab in Glioblastoma | \n
Radioimmunotherapy with monoclonal antibody
The above table lists current clinical trials using cytotoxic radiation coupled to monoclonal antibodies to kill tumor cells. See section 4.3.1 above.
• IL-4 (38-37)-PE38KDEL Immunotoxin in Treating Patients With Recurrent Malignant Astrocytoma | \n
• Imaging Study of the Distribution of IL13-PE38QQR Infused Before and After Surgery in Adult Patients With Recurrent Malignant Glioma | \n
• NBI-3001 Followed by Surgery in Treating Patients with Recurrent Glioblastoma Multiforme | \n
• TP-38 Toxin in Treating Young Patients with Recurrent or Progressive Supratentorial High-Grade Glioma | \n
Transfer of Ligands
The above table lists current clinical trials using molecules fused with toxins as a means of killing tumor cells.
• A Phase I Study to Investigate Tolerability and Efficacy of ALECSAT Administered to Glioblastoma Multiforme Patients | \n
• Autologous Natural Killer T Cells Infusion for the Treatment of Cancer | \n
• Cellular Adoptive Immunotherapy in Treating Patients With Glioblastoma Multiforme | \n
• Cellular Adoptive Immunotherapy Using Genetically Modified T-Lymphocytes in Treating Patients With Recurrent or Refractory High-Grade Malignant Glioma | \n
• Cellular Immunotherapy Study for Brain Cancer | \n
• CMV-specific Cytotoxic T Lymphocytes Expressing CAR Targeting HER2 in Patients with GBM (HERT-GBM) | \n
• Evaluation of Recovery From Drug-Induced Lymphopenia Using Cytomegalovirus-specific T-cell Adoptive Transfer | \n
• Phase I Study of Cellular Immunotherapy for Recurrent/Refractory Malignant Glioma Using Intratumoral Infusions of GRm13Z40-2, An Allogeneic CD8+ Cytolitic T-Cell Line Genetically Modified to Express the IL 13-Zetakine and HyTK and to be Resistant to Glucocorticoids, in Combination With Interleukin-2 | \n
• Safety and Effectiveness Study of Autologous Natural Killer and Natural Killer T Cells on Cancer | \n
• White Blood Cells With Anti-EGFR-III for Malignant Gliomas | \n
Adoptive Immunotherapy
The above table lists several current clinical trials using adoptive immunotherapy as a way of applying passive immunotherapy to return autologous tumor-antigen-specific T cells back to the patient as a means of targeting CNS tumors. See section 4.3.3 above.
Gene therapy as it relates to malignant gliomas is based on tumor-specific introduction of genetic material for the purpose of treatment. It involves direct injection of a gene transfer vector or vector producing cells (VPC) into the tumor itself or into the cavity left after resection. Although preclinical studies have been quite promising, unfortunately therapeutic response to gene therapy clinical trials remains low (Tobias, Ahmed et al. 2013). Three classes of genetic therapy treatment have taken center stage over the last several decades: prodrug/suicide genes, oncolytic viruses, and gene immunotherapy. Although each is its own distinct entity, they all facilitate delivery of genetic material through the use of one or more vectors as described below.
Retroviruses and retroviral vector producing cells (RVPCs) may be used to deliver specific genes to glioma cells; they are perhaps the most widely-studied class of vectors for treatment of GBM. This class of virus is advantageous in that its transduction is limited to rapidly dividing cells, meaning that normal brain cells remain unaltered. However, the transduction rate is low secondary to rapid inactivation of free retroviral vectors by complement as well as a lack of movement of virus to sites distant to the injection. It should be noted that transduction of circulating cells by vectors may occur, thus putting the patient at risk of cancer initiation via insertional mutagenesis (Barzon, Zanusso et al. 2006).
Adenoviruses belong to a family of 90-100 nm non-enveloped viruses made up of a nucleocapsid and double-stranded linear DNA. They account for roughly one tenth of all upper respiratory tract infections in children, infecting the host via introduction of their genome into the nucleus of the host organism’s cells where the viral DNA remains free. This is in opposition to the retroviral mechanism involving incorporation of genetic material into the host cell’s genomic structure.
Adenovirus enters the host cell by way of 2 distinct sets of interactions. Firstly, the knob domain of the virus’s fiber protein binds to the cell receptor (either CD46 or coxsackievirus adenovirus receptor). This is followed by the interaction of a specialized motif in the penton base protein with an integrin molecule, which prompts internalization of the virus via an endosome. Thereafter the capsid components dissociate and the virion is released into the cytoplasm. Viral DNA enters the nucleus via the nuclear pore, later associating with histones. Following nuclear invasion, the viral genome is reproduced along with the host cell’s DNA. However, the progeny of the original host cell will not carry the newly-introduced viral DNA. This necessitates numerous rounds of viral introduction in the treatment of cancer (Doloff and Waxman 2013).
The genome of Reoviridae is segmented, double-stranded RNA, and the virus has the ability to make use of a non-functional protein kinase R (PKR) pathway in glioma cells to allow for viral replication. This is advantageous as the virus does not require genetic engineering. Other advantages include small size (70-80nm) and an absence of known consequent encephalitis in humans (Clarke, Debiasi et al. 2005).
There are several nonviral vectors either currently in use or being considered for use in gene therapy such as synthetic vectors, nanoparticles, and stem cells/progenitor cells. From this group, perhaps the most studied is the liposome (included in the category of nanoparticles). Cationic Liposomes are easy to produce, have relatively low immunogenicity and toxicity, and typically exhibit long-term stability (Tobias, Ahmed et al. 2013).
Prodrug/suicide genes represent an ingenious wing of gene therapy. The basis of this anti-tumor modality is introduction of genes, either into the host genome or the intranuclear milieu, which imparts susceptibility to a subsequent therapeutic agent. The vectors themselves are genetically modified to produce an enzyme which converts a prodrug, given systemically, into toxic metabolites which act specifically on the malignancy.
Perhaps the earliest/most-studied example of prodrug/suicide gene utility when addressing gliomas is that of Herpes Simplex Type 1 Thymidine Kinase (HSV-tk). After incorporation of this gene into tumor cells (often residual cells status-post resection) and the endothelium of their vasculature, the host is treated with an antiviral such as gancyclovir (GCV). HSV-TK phosphorylates the prodrug of GCV into its active compound, whose mechanism of action involves DNA cross-linking, which leads to cell death. Following treatment with GCV, there may also be an observed “bystander effect” which involves the killing of non-transduced adjacent cells or even distant cells via immune response (T Cells, NK Cells) and toxic metabolites received via gap junctions (Ram, Culver et al. 1997; Floeth, Shand et al. 2001; Matuskova, Hlubinova et al. 2010). In a xenograft glioma model, a significant therapeutic effect was found when only approximately 10% of tumor cells were transduced with HSV-tk (Chen, Chang et al. 1995; Sandmair, Loimas et al. 2000). Introduction of HSV-tk/GCV may also increase response to standard measures such as radio- and chemotherapy (Rainov, Fels et al. 2001; Chiocca, Broaddus et al. 2004). This method has also been hypothesized to stimulate an immune response and provide an anti-angiogenic effect (Culver, Ram et al. 1992; Ayala, Satoh et al. 2006; Chiocca, Aguilar et al. 2011). Although there have been numerous enzyme-prodrug clinical trials ranging from Phase I to Phase III, endpoints such as median survival have not been overly impressive (Iwami, Natsume et al. 2010; Kroeger, Muhammad et al. 2010).
Intratumor injection of RVPCs has shown a high percentage of tumor regression in some studies (Ram, Culver et al. 1997; Pulkkanen and Yla-Herttuala 2005). Rainov et al. conducted a Phase III, multicenter, open-label, randomized trial of newly diagnosed GBM comparing standard therapy vs. standard therapy with adjuvant gene therapy of the tumor bed by HSV-tk. Although this mode of treatment was shown to be safe, there was no significant difference in 12-month survival rates or progression-free median survival (Rainov 2000). A recent Phase I head-to-head trial of intra-operative HSV-tk introduction via retrovirus vs. adenovirus showed promising results for adenoviral vectors in a small number of patients (Sandmair, Loimas et al. 2000).
It should also be noted that unlike retroviral vectors, adenovirus can transduce both dividing and non-dividing cells. The majority of adenoviruses used for this purpose are E1-deleted adenoviral vectors, which may be injected at a higher titer than RVPCs; however high doses may indeed lead to serious side effects, including confusion, seizures, fever, leukocytosis, and hyponatremia that appear to be secondary to immune response to the vector (Trask, Trask et al. 2000). This same immune response lowers the yield of viral delivery but also aids in tumor reduction (Trask, Trask et al. 2000; Lang, Bruner et al. 2003). Notably, the adenoviral vector may be found transiently in blood but has not been found as a replication-competent entity.
Preliminary clinical data suggest that adenoviral mediated gene transfer of suicide genes (AdvHSV-tk) may have clinical utility (Germano, Fable et al. 2003; Immonen, Vapalahti et al. 2004). A Phase IIB randomized controlled trial of patients with malignant gliomas reported a significant increase in OS from 37.7 weeks in the control arm (n=19) to 62.4 weeks in the adenoviral treated arm (AdvHSV-tk, n=17) (Immonen, Vapalahti et al. 2004). A recent Phase 1B trial showed treatment with adenovirus-HSV-tk followed by Valacyclovir, when paired with resection, chemotherapy and radiotherapy, was safe and without dose-limiting toxicity (Chiocca, Aguilar et al. 2011).
Despite the aforementioned promising results from a small number of patients, the Phase III international open-label, randomized ASPECT clinical trial, which studied the intra-operative administration of adenoviral-HSV-tk followed by GCV (n=124) as compared to resection and standard of care alone (n=126), was not positive. Unfortunately, the data revealed no difference between the groups in terms of OS; furthermore, more patients in the experimental group had one or more treatment-related adverse events than those in the control group (88 [71%] vs 51 [43%]) (Westphal, Yla-Herttuala et al. 2013).
Synthetic vectors, including nanoparticles have been applied to deliver DNA plasmids, RNA and siRNA (Jin and Ye 2007; Germano and Binello 2009; Jin, Bae et al. 2011). Liposomes are perhaps the most-researched of all nanoparticles (Tobias, Ahmed et al. 2013). Given through convection-enhanced delivery via stereotactically-placed catheters a liposome-DNA complex has been used to deliver HSV-tk in a small number of patients. The treatment was well-tolerated without major side effects (Jacobs, Voges et al. 2001; Voges, Reszka et al. 2003).
Pleuripotent neural stem cells procured from the subgranular zone of the hippocampus and the areas surrounding the lateral ventricles have the ability to migrate to areas of parenchymal damage (Luskin 1993). Neural stem cell clones may migrate to areas of tumor infiltration and thus were examined as vehicles for delivery of suicide genes, cytokines, or tumor necrosis factor-related apoptosis-inducing ligand (TRAIL); there is evidence of potential efficacy in animal models but no clinical utility data yet (Aboody, Brown et al. 2000; Marsh, Goldfarb et al. 2013).
A well-documented characteristic of GBM is its inherent inactivation of the p53 tumor suppressor gene. Animal trials have shown that re-introduction of the wild-type p53 gene is pro-apoptotic leading to increased sensitivity to current modalities of treatment such as chemo- and radiotherapy. A Phase 1 trial of adenoviral gene transfer of intra-tumoral wild-type p53 in recurrent malignant glioma proved to be safe, but the transfected cells were not found in a radius large enough to be therapeutically effective (Lang, Bruner et al. 2003).
The realm of oncolytic virus therapy involves the use of replication-competent viruses with the ability to selectively replicate and kill cancer cells, with or without gene transfer. This is in opposition to prodrug/suicide gene therapy which makes use of replication-incompetent modalities. In order to combat the inefficiency of suicide gene therapy, oncolytic treatment employs tumor-specific, conditionally replicating viral vectors (Tobias, Ahmed et al. 2013). The mechanism of action involves viral replication which eventually leads to lysis of the host tumor cell and subsequent release of additional copies of competent virus which may lead to further tumor reduction. This method is tumor-specific as it makes use of either attenuated viruses containing inactivated genes which replicate in tumor cells only, or viruses with replication-essential genes in tumor-specific promoters (Chiocca 2002). This method employs herpes simplex virus (HSV), Adenovirus, Reovirus, Poliovirus, Newcastle Disease Virus (NDV), and Measles virus.
Herpes Simplex is an enveloped, doubled-stranded DNA virus which exhibits inherent action upon the human nervous system; it can replicate in both active and quiescent cells. Consequently, safety was an original concern with this viral vector. Approximately 8 different HSV-1 genes have been altered or deleted to promote tumor specificity and lower collateral CNS damage (Tobias, Ahmed et al. 2013). There are two strains of replication-competent HSV-1 which have been significantly studied: G207 and HSV1716. G207 is the more widely-examined of the two and possesses a mechanism of action involving alteration of the gene which produces ribonucleotide reductase. In a recent phase 1B clinical trial, patients received injections of this virus both before and after tumor resection. Although viral replication was observed, treatment efficacy was sparse (Markert, Liechty et al. 2009). Additional studies have likewise shown adequate safety but minimal efficacy (Todo, Martuza et al. 2001).
G207 overcomes host defenses mediated by protein kinase R (PKR), which normally shuts down translation in infected cells through phosphorylation of eIF-2 alpha (Barzon, Zanusso et al. 2006). In a Phase I study by Markert et al., conditionally replicating G207 virus (given by stereotactic intratumor injection) was not found to lead to the development of herpes encephalitis (Markert, Medlock et al. 2000). Additionally, replication-competent HSV1716 administration in a Phase 1 dose-escalation study by Rampling et al. did not lead to encephalitis. Furthermore, no viral shedding was noted and no viral genome was found in tumor biopsies performed months after treatment (Rampling, Cruickshank et al. 2000).
Adenoviruses carrying mutations in E1A or E1B can also act on GBM via oncolysis. Their mechanism of action involves tumor-specific binding and inactivation of apoptotic proteins like pRB family and p53. Of note, adenovirus is inherently non-neurotropic, which may lend itself to superior safety versus HSV. One adenovirus,
NDV is an avian paramyxovirus, which does not harm humans except for rare pulmonary infection in poultry farmers; certain strains harm neoplastic cells via a currently unknown mechanism (Reichard, Lorence et al. 1992). Interestingly, NDV also has pleiotropic immune-modulatory properties (Schirrmacher, Haas et al. 1999). It should be noted that treatment with NDV necessitates starting at a low dose as there have been examples of treatment-related death with
Reovirus is a double-stranded RNA-containing virus that replicates in GBM cells because of a hyperactive ras signaling; it distinctively does not replicate in normal brain cells. A phase I clinical trial of intrattumoral administration of genetically unmodified virus was well tolerated by patients with recurrent malignant gliomas (Forsyth, Roldan et al. 2008). Further studies involving reovirus are currently underway.
Treatment of gliomas with immune therapy is based on harnessing of the patient’s T-Cell mediated response to tumor cells. Typically, gene-immune therapy falls into the category of priming in the brain by the transfer of cytokine genes, like IL-2, IL-4, IL-12, and interferons gamma and beta (Freeman, Abboud et al. 1993; Borden, Lindner et al. 2000; Candolfi, Xiong et al. 2010; Denbo, Williams et al. 2011; Ryu, Park et al. 2011; Markert, Cody et al. 2012). A phase I clinical trial of the injection of cationic liposomes carrying the human IFN-Beta gene into the postsurgical cavity showed low toxicity (Wakabayashi, Natsume et al. 2008). A phase 1 trial of adenovirus-mediated gene transfer of INF-Beta was also well tolerated (Chiocca, Smith et al. 2008). Furthermore, a small pilot study of liposomal-mediated IFN-Beta gene transfer into the postsurgical cavity showed promising results (Yoshida, Mizuno et al. 2004).
Another important strategy combines cytokine gene transfer (human IL-2) paired with HSV- TK/GCV treatment (Palu, Cavaggioni et al. 1999; Colombo, Barzon et al. 2005). The results are promising in a small number of patients (Colombo, Barzon et al. 2005); in particular, biopsy following treatment showed tumor necrosis at site of administration as well as significant immune response in the form of activated cytotoxic T cells, macrophages and T-Helper/inducer lymphocytes (Barzon, Zanusso et al. 2006).
The aforementioned negative results of several key phase III clinical trials in GBM demonstrate that current proof of efficacy in preclinical models is a necessary but not sufficient condition for clinical utility. The consistency in obtaining negative results in GBM is remarkable. How can we improve and what do we do to turn the tide in our favor?
It is becoming evident that the phenotypes of GBM are not created by few solitary molecules but rather by dynamic networks with positive and negative loops that react and respond to a therapeutic intervention. The good news is that these networks are finite dimensional. Furthermore, because of the instability of cancer genomes, random mutations are introduced in the population of rapidly dividing glioma cells; hence, a particular therapy could merely delay growth by selecting a resistant subpopulation. We suggest that we should elevate the threshold by mandating stringent criteria before proceeding to very costly phase III clinical trials, as follows.
Phase II clinical trials must include a control arm with appropriate stratification instead of historical controls.
Preclinical models must include proof of feasibility in at least 8-10 different cell lines/animal models.
We ought to invest in developing a better understanding of the structure of the oncogenic molecular networks in GBM and demand laboratory data depicting the reactions of these networks to a new therapeutic strategy.
We need to develop mathematical models, results, and simulations of these molecular networks and acquire the ability to test therapeutic strategies in silico.
We believe that investing in the aforementioned endeavors will increase the likelihood that a chosen therapy will have proven clinical utility against GBM. Maintaining the status quo, by forging ahead with large phase III clinical trials costing about $50-100 million each, is not attractive.
Among the most popular types of poultry raised for human consumption are domestic chickens. At 35–40 days of age, a typical broiler chicken will weigh around two kilograms [1]. During this period, they require approximately 3–4 kilograms of feed per day because of their rapid growth. While raising chickens in close proximity is necessary to meet the demand for chicken meat, this practice puts the birds at greater risk of infection and speeds disease transmission [2].
There is a wide range of microorganisms that colonize an animal’s digestive system as soon as it is born or hatches, and these microorganisms change over time [3]. The gut microbiota of an animal, a human of the same species, and the location of the host’s body all differ [4]. In the gut microbiota, which is a complex, interconnected community of organisms, the actions of all microbial components have a direct effect on its functions [5]. When the host and microbes interact in a way that benefits both of them, an ecological system is created [6]. As with humans, animals’ gut microbiome serves many of the same functions: scavenging energy from undigested feed components through fermentation, creating an immune barrier to keep harmful bacteria out of the digestive tract, and aiding in the absorption of vitamins and amino acids by animals [5]. This is largely true for both species. Farm animals must fulfill environmental and dietary responsibilities, as well as economic ones, in order to be productive [7]. The GIT microbiota has a significant impact on animal performance, particularly in young animals who are exposed to a wide range of stressful situations [8]. Dietary fiber, vitamins, and minerals are all provided by the microbiota that inhabit the GIT. The GIT microbiota may also play an important role in hen health and immunity, according to some evidence [9].
Data shows that heavy metal (HM) exposure may play a role in the etiology of metabolic disease by altering the GIT microbiota [10]. It’s important to remember that the gut microbiota protects the body from harmful microbes. Furthermore, HM exposure alters the composition and metabolic profile of the gut microbiota, which in turn affects the uptake and metabolism of these HMs by altering pH, oxygenation, and the concentrations of enzymes or proteins that are involved in the detoxification process [11]. As the intestinal barrier is influenced by gut flora, HM absorption can also be affected.
There are many different types of microorganisms in the animal microbiota, including those that are beneficial and those that are harmful [12]. The term “microbiota” is used to describe this microbial community. It includes commensal, symbiotic, and pathogenic microorganisms, as well as those that are beneficial or harmful to the host [13]. The microbiome refers to all of these symbionts’ genetic material as a whole [14]. When an organism consists of both host and microbial components, it is referred to as “supraorganisms” because of the important role it plays in the health and development of the host [5].
In the chicken intestinal tract, there is a diverse and ever-changing community of microorganisms [15]. When the gut microbiota is first established, it’s mostly anaerobic bacteria that take over [16]. The intestinal microbiota of newly hatched chicks is heavily influenced by the surrounding environment, and this is especially true for chicks that have only a small number of bacteria in their system [17]. As animals older, the GIT microbiota evolves from simple to complex and obligate anaerobes, reaching a relatively stable dynamic equilibrium [18]. A variety of functions and microbial compositions are found throughout the chicken GIT, which is divided into numerous sections [19].
The digestion and absorption of nutrients are dependent on the proper functioning of each section of the digestive tract. In chickens, there are two paired ceca, both of which are home to a similar bacterial community [20].
According to Wei
Clostridium, Bacteroides, and Ruminococcus are among the obligate anaerobes found in the cecum [25]. The small intestine, which includes the duodenum, jejunum, and ileum and is where nutrients are primarily digested and absorbed, has fewer microorganisms and is primarily colonized by acid-tolerant and facultative anaerobes such as Lactobacillus, Enterococcus, and Streptococcus [17]. The feacal microbiota composition varies greatly depending on the contributions of microbiota from different gut segments [12].
Microorganisms are primarily found in the gastrointestinal tract. Broilers and their intestinal microbiota interact in a variety of ways, with an emphasis on nutrient exchange, immune modulation, digestive system physiology, and pathogen exclusion being the most important [5, 26]. These functions are summarized in the following sections.
Chickens benefit from the nutrients provided by commensal bacteria in their digestive systems, both directly and indirectly [5, 27]. SCFAs, ammonium, amino acids, and vitamins [12, 15] are all included in this category. Polysaccharides, oligosaccharides, and disaccharides can all be hydrolyzed to primary sugars by the majority of intestinal bacteria [28]. SCFAs such as acetate, propionate, and butyrate are produced by the fermentation of these sugars by intestinal bacteria [12, 15]. Passive diffusion in the ceca allows SCFAs to be absorbed and enter a number of metabolic pathways [29]. SCFAs are a carbon and energy source for chickens [15]. To further enhance their ability to modulate intestinal immune response, they regulate blood flow and stimulate the proliferation of enterocytes [29].
Nitrogen metabolism is also aided by bacteria in the intestines [30]. When uric acid is broken down into ammonium by bacteria in the urinary tract, it can travel from the cloaca to the cecum, affecting the metabolism in the latter and allowing ammonium to be absorbed by the host [29, 31]. This allows the host to use ammonium to synthesize amino acids. However, the same intestinal bacteria can also be a source of amino acids and vitamins [29], Despite the fact that most of the proteins and vitamins produced by these bacteria are excreted, because most intestinal bacteria are found in the cecum, which cannot digest or absorb proteins [5]. Chickens, on the other hand, may be able to provide nutrients to the intestinal bacteria in a reciprocal manner.
Chickens’ immune systems include both innate and acquired immune responses [32]. The microbiota plays an important role in modulating the regulation and activation of both elements [33]. In terms of the innate immune response, the intestinal mucosa is thought to be the first line of defense against infection and a barrier that prevents commensal bacteria from penetrating the intestinal epithelium [32]. The interior surface of the avian intestine is covered in a mucous layer composed of the glycoprotein mucin, which is secreted by calceiform epithelial cells [34]. Mucins containing sialic acid have been found to be more abundant in conventionally reared chickens than mucins containing sulfate, which are found in birds with low bacterial loads. These differences are visible as early as day four (4) after birth, implying that the intestinal microbiota is involved in regulating the establishment of the mucous layer [35]. The intestinal microbiota also regulates the production of antimicrobial peptides on the surface of the intestinal epithelium, which are capable of rapidly killing or suppressing the activity [36]. Some of these peptides are expressed naturally, while others are induced in host cells by bacteria.
Regarding the acquired immune system, it appears that commensal bacteria protect the mucosa membrane by modulating the immune response, controlling the amount of mediators secreted by acquired immune system cells, and stimulating helper T cells [37]. Using germ-free chickens, it was demonstrated that microbiota has a dramatic effect on the repertoire of intestinal T cells and their cytokine expression [38].
After hatching from the egg, the chicks must transition from a yolk-based diet to one rich in carbohydrates and proteins, which is critical to their development and health [39]. So, in this stage of development, the digestive system’s organs go through anatomical and physiological changes. An ideal environment for microorganisms to colonize is the rapidly developing digestive tract, and the microbiota also plays an important role in the development of this organ. Compared to conventionally reared chickens, germ-free chickens have smaller intestines and cecas that weigh less and have thinner wall thickness [38]. There is some evidence to suggest that SCFAs increase enterocyte proliferation and growth, which could explain some of the discrepancy [29]. Intestinal microbiota may also influence the enzyme activity in chicken intestines [5]. Compare germ-free and conventionally raised chicken alkaline phosphatase enzyme activity and you’ll see that the latter has higher levels of activity [38]. Bifidobacterium and Lactobacillus, which increase the activity of proteases, trypsin and lipases, can be induced by diet as well [40]. Morphological changes can be caused by pathogenic bacteria as well [35]. Co-infection with Eimeria and Clostridium perfringens has been shown to reduce the length of the intestinal villi [41]. Chickens infected with Salmonella typhimurium were also shown to exhibit these symptoms [35].
Ecologically speaking, two species that compete for the same resources cannot coexist indefinitely [42]. A single competitor will always win out, leading to an evolutionary change, shift to another niche or even the complete demise of the other [5]. To reduce pathogen adhesion and colonization, the intestinal microbiota competes with colonizing pathogenic bacteria [43]. There are a variety of mechanisms that could lead to this reduction, including the physical occupation of space, competition for resources in a specific niche, and even direct physical or chemical confrontation with a potential colonizer [5]. Bacteriocins, for example, have been linked to a reduction in the ability of pathogens to invade the body [44]. No mechanism has been discovered yet to explain the protective effects of the competitive exclusion process on Salmonella colonization in broiler chickens’ intestinal tracts [5]. It has been shown that the pathogen can be controlled using a variety of products ranging from probiotics to inoculation of bedding with cultures drawn from the fecal matter produced in more productive sheds with better intestinal health [5, 17].
Intestinal microbiota, intestinal environment, and dietary compounds all work together to maintain a delicate equilibrium [45]. Disease can occur if this relationship is out of place [5]. Environmental factors, host age and health, and dietary habits all have the potential to influence microbial populations in either a positive or negative way [5, 45]. Aside from promoting growth and preventing the spread of endemic diseases, the use of low-dose antibiotics in livestock feed is a common practice in intensive farming [46]. Drug-resistant bacteria and public pressure to reduce the use of drugs in food-producing animals have created a need for ‘natural’ alternatives to boost performance and prevent disease spread [47]. However, these natural alternatives are not without their drawbacks. Intestinal microbiota can be influenced through the use of prebiotics and probiotics [48]. Specific changes in the composition and/or activity of the intestinal microflora, made possible by selective fermentation, that benefit the health and well-being of humans. “Live microorganisms that when administered in adequate amounts confer a health benefit on the host” is defined as [49]. Probiotics, prebiotics, or a combination of the two have been shown to improve the health of broilers in numerous studies [48, 49]. However promising probiotic supplements appear to be in the labs, their effects on commercial broilers vary widely [49]. There are many factors that can affect the intestinal microbiota’s composition and must be taken into consideration when trying to manipulate the intestinal microbiota, including the complex relationship between the host and the microbiota [50].
Food is a major source of energy for intestinal bacteria, and as a result, diet has a significant impact on the population of bacteria in the digestive tract [29]. Since different bacterial species have different dietary requirements and preferred substrates, changing one’s diet can have an impact on one’s gut microbiome [51]. It has been found that when wheat was added to the diet of birds, it promotes the growth of bacteria with 50–55% Guanidine to Cytosine (GC) content and suppressed the growth of those bacteria with 60–79% content [52]. In contrast to diets based on maize, it has been revealed that populations of
Poultry living conditions and the management that go along with them have a significant impact on their intestinal microbiota as well [56]. As a result of poor hygiene, there will be an increase in food-borne illness and wet litter issues [57]. Since farm litter is a source of bacteria for the birds and a potential source of pathogenic bacteria, proper litter management is essential [56, 57].
Age has been shown to influence the composition of the intestinal microbiota, along with host genotype [58]. The diversity and complexity of the bacterial populations in the intestinal microbiota of older and younger birds are shown to increase as the birds age [59], according to culture-independent molecular profiling techniques [45]. According to Wickramasuriya
Birds raised in xenobiotic-rich environments are more likely to have a diverse and beneficial GUT microbiota [62]. Heavy metals, plastics, and agrochemicals are just a few of the potentially harmful substances on this list. HMs and the gut microbiota interact in a variety of ways. Exposure alters the normal gut microbiota’s metabolism [62].
Finding a variety of toxic substances in animal feed or food additives, such as arsenic, lead, cadmium, mercury, and a host of other toxins is very common [63]. In general, it refers to a group of metals with high densities, atomic weights, or atomic numbers that are either not required or only required in trace amounts [64]. As a result of their widespread use in the manufacturing, medical, and agricultural sectors, these chemicals have begun to accumulate in the environment, raising questions about their potential dangers to both human and animal health as well as the environment [65]. Ingestion, inhalation, or dermal exposure to heavy metals can cause a wide range of health issues, including neurological and neurobehavioral disorders, abnormal blood chemistry, cancers, and cardiovascular disease in humans [62].
Poultry can be exposed to a variety of toxic metals from a variety of sources [66]. The application of sewage sludge, the disposal of industrial waste, the use of pesticides and fertilizers, and atmospheric deposition are all methods by which heavy metals can contaminate soil and water [67]. These heavy metals can be found in the air, water, and soil, it is difficult to remove them from animal feed and feed supplies [68]. Heavy metal bioaccumulation and indestructibility raise the possibility of these substances serving as toxins [69]. Metals cannot be catabolized, so chelation is an option for their removal [63].
Heavy metals can be classified into four major groups on their health importance.
Essential: Cu, Zn, CO, Cr, Mn and Fe. These metals also called micronutrients [70] and are toxic when taken in excess of requirements [69].
Non-essential: Ba, Al, Li and Zr.
Less toxic: Sn and Al.
Highly toxic: Hg, Cd and Cd.
Heavy metals are also called trace element due to their presence in trace (10 mg Kg−1) or in ultra-trace (1 μg kg−1) quantities in the environmental matrices [69, 70].
Poultry feed is a common source of heavy metal pollution, as are the majority of animal feeds [71]. Heavy metal contamination in poultry birds can occur from feed or water [66]. Bioaccumulation and the food chain can transfer heavy metals from the soil to plants, animals, and ultimately humans [62]. Due to the use of plants in poultry feeding, contamination of the plant is likely to be found in poultry feed [71]. Rice bran, rice polish, solvent extracted rice and wheat bran, and molasses are all common ingredients in poultry feeds [72]. Calcium, phosphorus, trace minerals (such as Fe, Zn, Mn, Cu, CO, and Me), and vitamins A, D3, E, K, and B complex are among the other minerals and vitamins that can be found [73].
Mineral nutrition is required by all animals and heavy metals have been shown to be essential nutrients [73]. It is essential to maintain animal health and productivity because of the numerous enzymes that coordinate many biological processes, such as Co, Cu, Fe, I, Mn, Mo, Se, Zn [74]. Catalysis and regulation are two other important functions that essential metals perform [75]. Minerals are frequently added to commercial feeds to promote optimal growth, functional bioactivity, and antimicrobial properties from the standpoint of mineral nutrition, as well as to prevent mineral deficiencies that could compromise production [73]. There are many factors to consider when it comes to the optimal concentration of essential metals in feed [76]: genetic influences, diet, interactions between nutrients, bioavailability, and subclinical toxic effects [74, 77]. Since soil and climate conditions around the world have a significant impact on farming practices, the levels of heavy metal contamination in feed can vary widely, making it difficult to generalize across locations and legal restrictions [74]. In order to accurately predict the risk of metal exposure, it is necessary to consider the production system [78]. The majority of chicken feed contains trace amounts of heavy metals.
Water pollution is the term used to describe the process of polluting waterways (e.g. lakes, rivers, oceans and groundwater). This type of pollution happens when contaminants are not properly handled before returning to the environment via rivers [79]. Water pollution has a negative impact on all aquatic life, including individual species and populations, as well as natural biological ecosystems [80]. “Heavy” or “toxic,” when it comes to metals, is defined as having a density larger than five times the water density. It is important to note that these elements are stable (i.e., those that cannot be digested by the body) and bio-accumulative [63]. Among the heavy metals (the metallic form against the ionic form required by the human body) are mercury, nickel, lead, arsenic and cadmium, alluminum, platinum, and copper.
There are a lot of heavy metals in proteins that have a lot of sulfur in them. The heavy metal concentration in streams, lakes, and rivers is normally less than 0.1 ppm [81]. However, some water sources contained up to 80 ppm of heavy metals. A lack of research has been done on heavy metal concentrations in rainfall and snow [82]. Mono-methyl mercury salts and diethyl mercury salts are the most common water-soluble mercury compounds. Environmental contaminants such as heavy metals have been related to adverse effects on human and animal health [64]. When an animal consumes a large amount of an important metal, it becomes hazardous [66].
A decline in environmental quality can be brought on by the presence of heavy metals in water, soil, or the air [64, 68]. Pollution sources can be traced back to airborne particles. It can be brought to the ground by wind or by raindrops, for example [83]. Contamination of soil layers with Cd is one cause of toxic amounts of Cd in groundwater [83]. Cd will be more concentrated in the water in the pipe duct. Environmental damage occurs when heavy metals in groundwater influence organisms directly or indirectly through adverse effects on human and animal health [84].
HMS can have an impact on our gut microbiota.
In addition to morphological harm, long-term heavy metal ingestion can cause gut flora dysfunction and potentially lead to host metabolic disorders [85]. These germs can impose selection pressure on bacteria that cannot adhere to the mucosal surface [5] and hence affect gut health.
HMs have been shown to limit bacterial growth in several studies [86]. When it comes to microorganisms, Cd has been proven to have harmful effects on growth and development, particularly through disrupting protein synthesis as well as numerous enzymatic processes [83]. Because HMs come into direct touch with the gut microbiota, they have a profoundly negative impact on its composition [85]. After exposure to HM, the majority of studies have shown a drop in Firmicutes and Proteobacteria abundance and a rise in Bacteroidetes abundance at the phylum level. Cd, Pb, Cu, and aluminum (Al) were shown to elicit metal-specific and time-dependent alterations in the gut microbiota of mice, and the quantity of Akkermansia reduced following exposure to these four HMs.
Antibiotics, like heavy metals, may be poisonous to microorganisms as well as dangerous to mammals [5]. As a result, antibacterial metals are being used more frequently in goods. If animals are exposed to heavy metals, their health can be affected both directly and indirectly through their toxicological effects on cells and systems as well as the impact on their animal microbiome [12]. Microbiota imbalance, or dysbiosis, has been associated to several chronic health consequences, including infection [5]. As the immune system matures, the microbiota plays an increasingly important role in ensuring that it stays in a state of homeostasis [13]. Mucus production, epithelial barrier function and inflammation are all affected by beneficial bacteria in the microbiota [27]. The microbiota and the immune system might both be weakened as a result of heavy metal exposure, raising the risk of infection. Furthermore, these exposures might have a negative influence on health because of the rise in antibiotic-resistant bacteria [85]. Metal resistance, like antibiotic resistance, has been thoroughly documented across many different bacteria for many different metals, despite the fact that heavy metals may be hazardous to microorganisms [36]. Bacteria that are resistant to both metals and antibiotics are often found together. Co-selection of metal and antibiotic resistance genes in bacteria can be caused by a variety of methods. Antibiotic resistance and metal resistance are both coded by two different genes that microbes may have, with one stimulus triggering transcription of both genes either physically or transcriptionally coupled inside a genetic unit like a plasmid. It is also possible that bacteria may have just one gene that makes a protein set that is capable of resisting both metals and antibiotics. As a result of any of these scenarios, bacteria would be able to select for antibiotic resistance as well.
The health impacts of HMs after changes in gut microbiota caused by HMs.
Toxicity-induced gut microbiota alterations have been found to disrupt gut integrity and contribute to a number of downstream consequences [36].
Cucumber toxicity resulted in a deterioration of chicken cecum structure, with the mucosa falling off, vacuoles forming in the lamina propria, and an inflammatory response that was time-dependent. In addition to morphological harm, long-term heavy metal ingestion can cause gut flora dysfunction and possibly host metabolic disorders [11]. Another study found that alterations in the microbiota of the digestive tract have been linked to a number of ailments, including intestinal barrier permeability and inflammation [38]. It is believed that copper exposure might lead to an imbalance in the gut flora, which could have negative consequences for the health of chickens [21].
Heavy metals in the broiler chicken production environment affect the gut flora, which in turn affects the health of the animals. In order to minimize or eliminate any impact on the gut microbiota, proper rules for the use of heavy metals in feed and water should be put in place. This is critical for the consumer’s health, as heavy metals may build up in the body over time and pose a health risk. Toxic heavy metals may lead to the growth of bacteria that are resistant to heavy metals and antimicrobial resistance at the same time. Regulators and testing should be put in place to limit the discharge and exposure of hazardous materials.
We believe financial barriers should not prevent researchers from publishing their findings. With the need to make scientific research more publicly available and support the benefits of Open Access, more and more institutions and funders are dedicating resources to assist faculty members and researchers cover Open Access Publishing Fees (OAPFs). In addition, IntechOpen provides several further options presented below, all of which are available to researchers, and could secure the financing of your Open Access publication.
",metaTitle:"Waiver Policy",metaDescription:"We feel that financial barriers should never prevent researchers from publishing their research. With the need to make scientific research more publically available and support the benefits of Open Access, more institutions and funders have dedicated funds to assist their faculty members and researchers cover the APCs associated with publishing in Open Access. Below we have outlined several options available to secure financing for your Open Access publication.",metaKeywords:null,canonicalURL:"/page/waiver-policy",contentRaw:'[{"type":"htmlEditorComponent","content":"At IntechOpen, the majority of OAPFs are paid by an Author’s institution or funding agency - Institutions (73%) vs. Authors (23%).
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\\n\\nThe application process is open after your submitted manuscript has been accepted for publication. To apply, please fill out a Waiver Request Form and send it to your Author Service Manager. If you have an official letter from your university or institution showing that funds for your OA publication are unavailable, please attach that as well. The Waiver Request will normally be addressed within one week from the application date. All chapters that receive waivers or partial waivers will be designated as such online.
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\\n"}]'},components:[{type:"htmlEditorComponent",content:'At IntechOpen, the majority of OAPFs are paid by an Author’s institution or funding agency - Institutions (73%) vs. Authors (23%).
\n\nThe first step in obtaining funds for your Open Access publication begins with your institution or library. IntechOpen’s publishing standards align with most institutional funding programs. Our advice is to petition your institution for help in financing your Open Access publication.
\n\nHowever, as Open Access becomes a more commonly used publishing option for the dissemination of scientific and scholarly content, in addition to institutions, there are a growing number of funders who allow the use of grants for covering OA publication costs, or have established separate funds for the same purpose.
\n\nPlease consult our Open Access Funding page to explore some of these funding opportunities and learn more about how you could finance your IntechOpen publication. Keep in mind that this list is not definitive, and while we are constantly updating and informing our Authors of new funding opportunities, we recommend that you always check with your institution first.
\n\nFor Authors who are unable to obtain funding from their institution or research funding bodies and still need help in covering publication costs, IntechOpen offers the possibility of applying for a Waiver.
\n\nOur mission is to support Authors in publishing their research and making an impact within the scientific community. Currently, 14% of Authors receive full waivers and 6% receive partial waivers.
\n\nWhile providing support and advice to all our international Authors, waiver priority will be given to those Authors who reside in countries that are classified by the World Bank as low-income economies. In this way, we can help ensure that the scientific work being carried out can make an impact within the worldwide scientific community, no matter where an Author might live.
\n\nThe application process is open after your submitted manuscript has been accepted for publication. To apply, please fill out a Waiver Request Form and send it to your Author Service Manager. If you have an official letter from your university or institution showing that funds for your OA publication are unavailable, please attach that as well. The Waiver Request will normally be addressed within one week from the application date. All chapters that receive waivers or partial waivers will be designated as such online.
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\n\nFeel free to contact us at funders@intechopen.com if you have any questions about Funding options or our Waiver program. If you have already begun the process and require further assistance, please contact your Author Service Manager, who is there to assist you!
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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Dr. Madfa also regularly attends international conferences and holds administrative positions (Deputy Dean of the Faculty for Students’ & Academic Affairs and Deputy Head of Research Unit).",institutionString:"Thamar University",institution:null},{id:"210472",title:"Dr.",name:"Nermin",middleName:"Mohammed Ahmed",surname:"Yussif",slug:"nermin-yussif",fullName:"Nermin Yussif",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210472/images/system/210472.jpg",biography:"Dr. Nermin Mohammed Ahmed Yussif is working at the Faculty of dentistry, University for October university for modern sciences and arts (MSA). Her areas of expertise include: periodontology, dental laserology, oral implantology, periodontal plastic surgeries, oral mesotherapy, nutrition, dental pharmacology. She is an editor and reviewer in numerous international journals.",institutionString:"MSA University",institution:null},{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. Dr. Al Ostwani is an assistant professor and faculty member at IUST University since 2014. \nDuring his academic experience, he has received several awards including the scientific research award from the Union of Arab Universities, the Syrian gold medal and the international gold medal for invention and creativity. Dr. Al Ostwani is a Member of the International Association of Dental Traumatology and the Syrian Society for Research and Preventive Dentistry since 2017. He is also a Member of the Reviewer Board of International Journal of Dental Medicine (IJDM), and the Indian Journal of Conservative and Endodontics since 2016.",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",country:{name:"India"}}},{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. After graduating from TED Ankara College in 1994, she attended to Gazi University, Faculty of Dentistry in Ankara. She completed her PhD in orthodontic education at Gazi University between 1999-2005. Dr. Işık Aslan stayed at the Providence Hospital Craniofacial Institude and Reconstructive Surgery in Michigan, USA for three months as an observer. She worked as a specialist doctor at Gazi University, Dentistry Faculty, Department of Orthodontics between 2005-2014. She was appointed as associate professor in January, 2014 and as professor in 2021. Dr. Işık Aslan still works as an instructor at the same faculty. She has published a total of 35 articles, 10 book chapters, 39 conference proceedings both internationally and nationally. Also she was the academic editor of the international book 'Current Advances in Orthodontics'. She is a member of the Turkish Orthodontic Society and Turkish Cleft Lip and Palate Society. She is married and has 2 children. Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null},{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"192229",title:"Ph.D.",name:"Ana Luiza",middleName:null,surname:"De Carvalho Felippini",slug:"ana-luiza-de-carvalho-felippini",fullName:"Ana Luiza De Carvalho Felippini",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192229/images/system/192229.jpg",biography:null,institutionString:"University of São Paulo",institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"256851",title:"Prof.",name:"Ayşe",middleName:null,surname:"Gülşen",slug:"ayse-gulsen",fullName:"Ayşe Gülşen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256851/images/9696_n.jpg",biography:"Dr. Ayşe Gülşen graduated in 1990 from Faculty of Dentistry, University of Ankara and did a postgraduate program at University of Gazi. \nShe worked as an observer and research assistant in Craniofacial Surgery Departments in New York, Providence Hospital in Michigan and Chang Gung Memorial Hospital in Taiwan. \nShe works as Craniofacial Orthodontist in Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi, Ankara Turkey since 2004.",institutionString:"Univeristy of Gazi",institution:null},{id:"255366",title:"Prof.",name:"Tosun",middleName:null,surname:"Tosun",slug:"tosun-tosun",fullName:"Tosun Tosun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255366/images/7347_n.jpg",biography:"Graduated at the Faculty of Dentistry, University of Istanbul, Turkey in 1989;\nVisitor Assistant at the University of Padua, Italy and Branemark Osseointegration Center of Treviso, Italy between 1993-94;\nPhD thesis on oral implantology in University of Istanbul and was awarded the academic title “Dr.med.dent.”, 1997;\nHe was awarded the academic title “Doç.Dr.” (Associated Professor) in 2003;\nProficiency in Botulinum Toxin Applications, Reading-UK in 2009;\nMastership, RWTH Certificate in Laser Therapy in Dentistry, AALZ-Aachen University, Germany 2009-11;\nMaster of Science (MSc) in Laser Dentistry, University of Genoa, Italy 2013-14.\n\nDr.Tosun worked as Research Assistant in the Department of Oral Implantology, Faculty of Dentistry, University of Istanbul between 1990-2002. \nHe worked part-time as Consultant surgeon in Harvard Medical International Hospitals and John Hopkins Medicine, Istanbul between years 2007-09.\u2028He was contract Professor in the Department of Surgical and Diagnostic Sciences (DI.S.C.), Medical School, University of Genova, Italy between years 2011-16. \nSince 2015 he is visiting Professor at Medical School, University of Plovdiv, Bulgaria. \nCurrently he is Associated Prof.Dr. at the Dental School, Oral Surgery Dept., Istanbul Aydin University and since 2003 he works in his own private clinic in Istanbul, Turkey.\u2028\nDr.Tosun is reviewer in journal ‘Laser in Medical Sciences’, reviewer in journal ‘Folia Medica\\', a Fellow of the International Team for Implantology, Clinical Lecturer of DGZI German Association of Oral Implantology, Expert Lecturer of Laser&Health Academy, Country Representative of World Federation for Laser Dentistry, member of European Federation of Periodontology, member of Academy of Laser Dentistry. Dr.Tosun presents papers in international and national congresses and has scientific publications in international and national journals. He speaks english, spanish, italian and french.",institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"260116",title:"Dr.",name:"Mehmet",middleName:null,surname:"Yaltirik",slug:"mehmet-yaltirik",fullName:"Mehmet Yaltirik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/260116/images/7413_n.jpg",biography:"Birth Date 25.09.1965\r\nBirth Place Adana- Turkey\r\nSex Male\r\nMarrial Status Bachelor\r\nDriving License Acquired\r\nMother Tongue Turkish\r\n\r\nAddress:\r\nWork:University of Istanbul,Faculty of Dentistry, Department of Oral Surgery and Oral Medicine 34093 Capa,Istanbul- TURKIYE",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",biography:"Zühre Akarslan was born in 1977 in Cyprus. She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"256417",title:"Associate Prof.",name:"Sanaz",middleName:null,surname:"Sadry",slug:"sanaz-sadry",fullName:"Sanaz Sadry",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256417/images/8106_n.jpg",biography:null,institutionString:null,institution:null},{id:"272237",title:"Dr.",name:"Pinar",middleName:"Kiymet",surname:"Karataban",slug:"pinar-karataban",fullName:"Pinar Karataban",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272237/images/8911_n.png",biography:"Assist.Prof.Dr.Pınar Kıymet Karataban, DDS PhD \n\nDr.Pınar Kıymet Karataban was born in Istanbul in 1975. After her graduation from Marmara University Faculty of Dentistry in 1998 she started her PhD in Paediatric Dentistry focused on children with special needs; mainly children with Cerebral Palsy. She finished her pHD thesis entitled \\'Investigation of occlusion via cast analysis and evaluation of dental caries prevalance, periodontal status and muscle dysfunctions in children with cerebral palsy” in 2008. She got her Assist. Proffessor degree in Istanbul Aydın University Paediatric Dentistry Department in 2015-2018. ın 2019 she started her new career in Bahcesehir University, Istanbul as Head of Department of Pediatric Dentistry. In 2020 she was accepted to BAU International University, Batumi as Professor of Pediatric Dentistry. She’s a lecturer in the same university meanwhile working part-time in private practice in Ege Dental Studio (https://www.egedisklinigi.com/) a multidisciplinary dental clinic in Istanbul. Her main interests are paleodontology, ancient and contemporary dentistry, oral microbiology, cerebral palsy and special care dentistry. She has national and international publications, scientific reports and is a member of IAPO (International Association for Paleodontology), IADH (International Association of Disability and Oral Health) and EAPD (European Association of Pediatric Dentistry).",institutionString:null,institution:null},{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,institution:null},{id:"172009",title:"Dr.",name:"Fatma Deniz",middleName:null,surname:"Uzuner",slug:"fatma-deniz-uzuner",fullName:"Fatma Deniz Uzuner",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/172009/images/7122_n.jpg",biography:"Dr. Deniz Uzuner was born in 1969 in Kocaeli-TURKEY. After graduating from TED Ankara College in 1986, she attended the Hacettepe University, Faculty of Dentistry in Ankara. \nIn 1993 she attended the Gazi University, Faculty of Dentistry, Department of Orthodontics for her PhD education. After finishing the PhD education, she worked as orthodontist in Ankara Dental Hospital under the Turkish Government, Ministry of Health and in a special Orthodontic Clinic till 2011. Between 2011 and 2016, Dr. Deniz Uzuner worked as a specialist in the Department of Orthodontics, Faculty of Dentistry, Gazi University in Ankara/Turkey. In 2016, she was appointed associate professor. Dr. Deniz Uzuner has authored 23 Journal Papers, 3 Book Chapters and has had 39 oral/poster presentations. She is a member of the Turkish Orthodontic Society. Her knowledge of English is at an advanced level.",institutionString:null,institution:null},{id:"332914",title:"Dr.",name:"Muhammad Saad",middleName:null,surname:"Shaikh",slug:"muhammad-saad-shaikh",fullName:"Muhammad Saad Shaikh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Jinnah Sindh Medical University",country:{name:"Pakistan"}}},{id:"315775",title:"Dr.",name:"Feng",middleName:null,surname:"Luo",slug:"feng-luo",fullName:"Feng Luo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sichuan University",country:{name:"China"}}},{id:"423519",title:"Dr.",name:"Sizakele",middleName:null,surname:"Ngwenya",slug:"sizakele-ngwenya",fullName:"Sizakele Ngwenya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"419270",title:"Dr.",name:"Ann",middleName:null,surname:"Chianchitlert",slug:"ann-chianchitlert",fullName:"Ann Chianchitlert",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419271",title:"Dr.",name:"Diane",middleName:null,surname:"Selvido",slug:"diane-selvido",fullName:"Diane Selvido",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419272",title:"Dr.",name:"Irin",middleName:null,surname:"Sirisoontorn",slug:"irin-sirisoontorn",fullName:"Irin Sirisoontorn",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"355660",title:"Dr.",name:"Anitha",middleName:null,surname:"Mani",slug:"anitha-mani",fullName:"Anitha Mani",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"355612",title:"Dr.",name:"Janani",middleName:null,surname:"Karthikeyan",slug:"janani-karthikeyan",fullName:"Janani Karthikeyan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"334400",title:"Dr.",name:"Suvetha",middleName:null,surname:"Siva",slug:"suvetha-siva",fullName:"Suvetha Siva",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}}]}},subseries:{item:{id:"8",type:"subseries",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11404,editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",slug:"adriano-andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",biography:"Dr. Adriano de Oliveira Andrade graduated in Electrical Engineering at the Federal University of Goiás (Brazil) in 1997. He received his MSc and PhD in Biomedical Engineering respectively from the Federal University of Uberlândia (UFU, Brazil) in 2000 and from the University of Reading (UK) in 2005. He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). He was the head of the undergraduate program in Biomedical Engineering of the Federal University of Uberlândia (2015 - June/2019) and the head of the Centre for Innovation and Technology Assessment in Health (NIATS/UFU) since 2010. He is the head of the Postgraduate Program in Biomedical Engineering (UFU, July/2019 - to date). He was the secretary of the Parkinson's Disease Association of Uberlândia (2018-2019). Dr. Andrade's primary area of research is focused towards getting information from the neuromuscular system to understand its strategies of organization, adaptation and controlling in the context of motor neuron diseases. His research interests include Biomedical Signal Processing and Modelling, Assistive Technology, Rehabilitation Engineering, Neuroengineering and Parkinson's Disease.",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,series:{id:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343"},editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",slug:"hitoshi-tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",slug:"marcus-vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",slug:"ramana-vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},onlineFirstChapters:{paginationCount:17,paginationItems:[{id:"82184",title:"Biological Sensing Using Infrared SPR Devices Based on ZnO",doi:"10.5772/intechopen.104562",signatures:"Hiroaki Matsui",slug:"biological-sensing-using-infrared-spr-devices-based-on-zno",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Hiroaki",surname:"Matsui"}],book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"82122",title:"Recent Advances in Biosensing in Tissue Engineering and Regenerative Medicine",doi:"10.5772/intechopen.104922",signatures:"Alma T. Banigo, Chigozie A. Nnadiekwe and Emmanuel M. 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