Open access peer-reviewed chapter

Redefining Androgen Receptor Function: Clinical Implications in Understanding Prostate Cancer Progression and Therapeutic Resistance

By Miltiadis Paliouras, Carlos Alvarado and Mark Trifiro

Submitted: November 13th 2015Reviewed: May 25th 2016Published: September 28th 2016

DOI: 10.5772/64392

Downloaded: 1043

Abstract

The current description of the function of the human androgen receptor (AR), as a transcription factor directing androgen responsive gene expression, is limited in scope and thus is unable to account for the varied cellular and physiological transformation observed in the development and progression of prostate cancer (CaP). The chapter will focus on four important aspects of AR and CaP investigations: (1) a description of AR somatic mutations and the perils of AR-directed therapeutics; (2) our characterization of AR protein interactors that have imbued new functional properties for AR linked to prostatic disease; (3) review of the advances made and shortcomings of AR mouse models in describing CaP onset and progression; and (4) speculate as to the mechanisms by which new mutations can originate and initiate disease onset.

Keywords

  • androgen receptor
  • prostate cancer
  • somatic mutations
  • interactome
  • mouse models
  • gain-of-function properties
  • therapeutic resistance
  • mutational landscape

1. Introduction

Advanced DNA sequencing technology and the information garnered from it has ushered a new era especially poignant to the genetics of cancer. In present and next-generation sequencing methodologies in conjunction with the establishment of consortiums (COSMIC: and TCGA: http://cancer.sanger.ac.uk/cosmic and TCGA: tcga-data.nci.nih.gov/tcga), whose major efforts are to characterize the cancer genome of a large number of cancers in a systematic fashion, modern cancer genetics has come to the forefront. These “mutational landscapes” have redefined cancer genetics and will dramatically direct cancer research for decades to come [110].

Modern cancer genetics has now unequivocally demonstrated extensive somatic DNA alterations many times more than previously envisioned [1114]. Although dependent on specific tumor types, somatic mutations are in the order of tens of thousands; the present-day technology most likely underestimates the true number of mutations as mutations occurring in less than 10–15% of cells cannot be detected. Advances in single-cell DNA analysis now suggest that indeed many more mutations do exist at in smaller number of cells [15, 16]. More importantly, there is an advanced degree of intertumoral heterogeneity where the same tumor types in different patients share only a few DNA alterations [17, 18]. As well intratumoral heterogeneity is extensive, where in the same individual’s tumor, there are many different DNA alterations in specific subpopulation of cells. Also, the DNA sequence defined for a specific tumor is a composite sequence, where an amalgamation of small “bits” of DNA sequence, whose origins are from many different cells, is aligned to generate the “tumor” DNA genome; where in reality, no individual tumor cell most likely has that defined sequence.

Cataloging sequence alterations are the mainstay on present-day consortiums, important in defining tumor heterogeneity and also to help understand what potential effects these alterations may have on neoplastic initiation and evolution. Many mutations evoke specific gain of function properties implying driver capabilities [19]. The true understanding of these mutations is an extremely daunting task; defining these new gain-of-function properties is presently done in the context of the somatically mutated protein in question without any of the mutations of other proteins present; to truly account for real gain of function properties would require the presence of all mutations. The possible permutations and combinations of tens-of-thousands mutations on many proteins and the outcome on cellular physiology are incomprehensible even more so when cell-to-cell functionality is implied.

Nonetheless, the establishment of mutational landscape databases with defining characteristics, in conjunction with the required systems biology and network analysis, has led to many insights in tumor dynamics. What has been lacking in cancer fundamentals are investigations addressing the origins of these vastly accrued DNA alterations.

Cancer hallmarks defined by Hanahan and Weinberg have more or less been universally agreed upon and now include “enabling hallmarks,” those hallmarks that are not descriptive in nature but imply distinct contributions to neoplastic development [20]. One of these enabling hallmarks is referred to as genomic instability. A more apt description would be the connotation of mutator phenotype, originally described by Lawrence Loeb [2123]. Briefly, the mutator phenotype is a trait shared by all cancer cells that endow cancer cells with the ability to create or enhance new and constant DNA alterations. This hallmark gives neoplastic cells, a constant source of new mutations allowing the genetic background to become widely disparate. Such cellular genetic diversity in turn allows for extreme selection processes to dictate tumoral evolution; selection processes are multiple: microenvironment on tumor cells, tumor cells on the microenvironment, and tumor cells on other tumor cells.

The origins of tumor DNA alterations are indeed critical. Therefore, it is hard to imagine that a tumor and tumor evolution can exist without any DNA alterations. Mutational load directly impacts tumor aggressiveness and metastatic potential. Understanding the origins of somatic DNA alterations is now fundamental to the understanding of tumor initiation and evolution, and the extent of DNA alterations is most likely more critical than the actual single definition and characterization of specific DNA alterations given the tremendous heterogeneity that exists.

Advertisement

2. Somatic mutations and prostate cancer

Prostate cancer (CaP) in many ways is unique. It is extremely common; as much as 50% of men will have CaP above the age of 55 and increases in incidence afterwards [24]. It is for the most part slow growing and only in a small percentage can develop advanced and life-threatening disease but still represents a significant number of individuals. However, due to the high incidence rates for CaP and the highly variable and unpredictable effects on morbidity and mortality, CaP is extremely vulnerable to over diagnosis (as aided by screening advocates) and thus overtreatment [25, 26]. Treatment regimens have been extremely controversial with the no clear benefits of endocrine manipulation in early disease; most likely, the era of anti-androgens or androgen deprivation therapy (ADT) in early disease will not be adhered to, the treatment of which may have provoked more aggressive disease and linked to selecting out very worrisome gain-of-function androgen receptor (AR) mutations [2729]. Surgical prostatectomy remains the only curative procedure if the disease was localized to the prostate at the time of surgery.

CaP is universally multifocal and is uniformly associated with hypertrophy or hyperplasia. Its pathological scoring (Gleason) is based on the fact that multiple lesions coexist and, by itself, is solely used to assess overall staging [30]. Multifocal cancers are typically genetic in nature, associated with DNA repair deficiencies and somatic loss of heterozygosity. The best example of endocrine genetic cancers is MEN2 syndrome that has been now well studied in all age groups and dramatically displays the hypertrophy to hyperplasia to frank carcinoma evolution [31]. There is no obvious related gene candidate in multifocal CaP.

2.1. Androgen receptor

The X-linked AR protein is a member of the nuclear receptor superfamily [32, 33]. It is a ligand-inducible protein containing a polymorphic N-terminal region, a central DNA-binding domain (DBD), and a C-terminal ligand-binding domain (LBD) [3436]. Although the AR gene is classically not associated with direct DNA maintenance, it is a single allele (loss of heterozygosity is not a prerequisite) and remains the most prominent candidate directing CaP initiation and evolutions. Hypogonadal individuals with low levels of 17C steroids or with elements of androgen receptor (AR) deficiency, CaP, are extremely rare. Most if not all molecular endocrinological studies of CaP implement the AR g as being a pivotal player in CaP. In all CaP, AR is highly mutated (androgendb.mcgill.ca) [3742]. The most recent CaP mutational landscape is very comprehensive and is the new reference for mutational analysis of genes in both initial disease and more advanced disease [39]. In this study, AR remains the most consistent altered gene and is the earliest gene to be altered in localized diseases: AR gene amplifications is then followed by AR splice variants and AR missense mutations, but these alterations are hard pressed to explain multifocality. Other somatic mutations found include AR-associated proteins (ETS fusions, FOXA1, ZBTB16, NCOR1, NCOR2); PIK3 pathway PIK3CA, (PIK3CB, PIK3R1, AKT1); DNA repair (APC, BRCA2); and WNT signaling (RNF43); Cell cycle (RB1) [39].

2.2. AR and the CAG polymorphic tract

The AR gene has an extremely rare attribute. A polymorphic pure uninterrupted CAG tract in exon 1 is present coding for a polyglutamine tract in the N-terminus of the AR. This tract varies in length in individuals (n = 12–31), and tract length also varies racially [4349]. This tract also has small but very important effect on AR functionality: smaller length polyglutamine tract ARs have more transcriptionally prowess [50]. The fundamental explanation for the presence of the AR polyglutamine tract within the AR protein itself is not known.

AR CAG tracts are unique to primates and are uninterrupted in almost all species (the exception being mice). It is interesting that humans vs. other primates have the longest tract and thus are the most unstable.

AR CAG tracts are unique to mammals and are uninterrupted in almost all species (the exception being mice) [34, 51]. Another trait related to all trinucleotide repeats is their inherent inability to remain stable; thus, AR CAG tract lengths are known to change in length somatically in various tissues including primary gonadal tissue [52, 53]. It is interesting that humans vs. other primates have the longest tract and thus are the most unstable. The instability exists at two levels: at cell division with DNA replication and more importantly with AR transcription by the transcription excision repair machinery. Instability is usually biased toward expansion rather than contraction (2:1).

In a study of CaP and AR CAG tract instability, AR CAG tract instability existed in normal tissue to a certain degree but was very much enhanced in adjacent CaP tissue [52, 54]. The CAG tract lengths varied from one foci of CaP to another foci of CaP in the same patient. The instability of the AR CAG tract is many orders of magnitude more than stable random DNA sequence and approaches error rates seen in DNA repair deficiency states. It thus remains a solid candidate for the gene that accounts for the multifocality of CaP. In brief, those cells that undergo the largest AR CAG tract contraction are the most active AR. These cells in turn through overactive AR pathways will provoke new DNA alterations and thus are ordained as a mutator phenotype.

2.3. AR somatic mutations

It has clear involvement in distinct diseases due to due well-characterized inherited loss-of-function or somatic acquired gain-of-function mutations. The one same protein with diverse-heterogeneous mutations, each with clear phenotypes, offers unique complementary structure-functional studies. Exploiting the AR mutational properties found in individuals with androgen resistance syndromes (loss-of-function AR) or CaP (gain-of-function AR), in conjunction with receptor kinetic studies, molecular biology, advanced dynamic structural modeling, and proteomic-coupled network analyses studies, has described many fundamental and new processes to account for disease processes [5559].

Given the central role that AR has in prostate biology, it is not unexpected that somatic ARmutations may be selected for, adding to the CaP repertoire powerful new functions provoking neoplastic advancement [52, 54, 60, 61] (Figure 1). Recent studies in support of initial studies have again demonstrated that although most advanced prostatic cancers are uniformly androgen independent, the AR is still a very important contributor to the more progressive fatal disorder [62, 63]. Nearly, all “androgen-independent” or “castrate-resistant” prostatic tumors express high levels of AR, and levels are predictive of progressive disease [64, 65]. Indeed, as many as one-third of tumors exhibit AR gene amplification [66] and AR somatic prostate missense mutations and splice variants are well documented [38, 67, 68]. A number of somatic CaP AR (e.g., T877A) mutants have unique gain-of-function properties; they can bind several classes of steroids promiscuously with subsequent transactivation, be hyperactivated by normal ligands [69, 70] or be constitutively active without ligand [71]. Even more surprising is that anti-androgen treatments [e.g., flutamide, cyproterone acetate (CPA) or bicalutamide, and even the latest generation of anti-androgens (enzalutamide)] have selected out specific somatic AR gene (AR) mutations [7275]. Missense mutations also have other related gain of functions beyond their relaxed ligand-binding parameters; normally ligand-binding promotes a dramatic conformation change inducing helix 12 movement creating a new co-activator interacting site. In T877A, helix 12 is slightly misplaced and alters the co-activator binding where co-activator binding motifs preferences are changed. As well another gain of function property is manipulated that is AR N-C-terminal interactions are favored. Thus, any somatic mutated AR most likely will inherit multiple new functions, which can affect the whole AR complex itself.

Figure 1.

Schematic illustration of cataloged AR Somatic Mutations from the androgen receptor database. Mutations illustrated with the same color were present in the same cancer specimen. Mutations in red were found in the germline (image is courtesy of http://www.androgenbd.mcgill.ca">www.androgenbd.mcgill.ca, with permission from Dr. Mark Trifiro) [37].

In advanced CaP, new AR variants have been found (Figure 2). AR-V7 and ARv567es splice variants have an intact NTD and DBD. The AR-V7 splice variant excludes exon 4 through 8, resulting in a deletion of the LBD and the hinge regions, whereas ARv567es excludes exons 5 through 7 creating a LBD deletion; thus, these variants display “constitutive” ligand-independent transcriptional activity. It has been observed for many years that steroid receptor C-terminal truncated variants have constitutive activity; thus, in full-length steroid receptors, the presence of the C-terminal domains acts as a functional repressor whereupon ligand binding alleviates C-terminal repression.

Figure 2.

Schematic illustration of AR truncated and splice variants.

The repressive AR splice variants differ significantly from full-length AR in their transcriptional programs and subcellular localization [76, 77], implying different potential functions from wild-type AR (AR-WT). In an analysis of 46 castration-resistant prostate cancers (CRPCs), 80% expressed full-length AR, 73% expressed ARv567es and AR-V7; furthermore, 20% of metastatic cases expressed ARv567es solely [78]. Western blot analysis appears to reveal that AR splice variants are also expressed in a number of different prostatic cancer cell lines [79]; however, it is not quite clear whether these variants are actually active or possess any of the attributed “constitutive” activity. Attention has also been given to the molecular mechanism by which these splice variants may arise. One hypothesis asserts that genomic rearrangements is one mechanism [80, 81], which maybe a valid means for established and immortalized cells lines, but more difficult to account for in a progressive disorder. Such a precise process for DNA deletion/rearrangement to independently and exactly occur so many times to result in the expression of these variants is very unlikely. Most recently, a more valid mechanism has been put forward that involved the overexpression of specific RNA splicing factors, U2AF65 and ASF/SF2, influenced the expression of AR-V7 splice variant in CaP cell lines [82]. Alternative RNA splicing has been shown to change during disease progression, and thus, the expression of specific RNA splicing factors during different stages of disease could more adequately account for the both frequency and temporal incidences of these AR variants. Alternative RNA splicing can also be considered another degree of added genetic heterogeneity to evolving neoplasias [8386].

These gain of functions can extend to other facets of AR activity, namely the ability to attract different interactors or interplay with other pathways and possibly target different genes; these diverse gain-of-function attributes are likely to be manifested by a changed constitution of mutant AR complexes, which may well be cell and ligand specific and lend to the molecular pathological processes. Thus, cumulative analysis still supports the AR as a pivotal role player in prostate cell tumor biology, as it plays a fundamental and decisive role in prostate cell biology including very important prostate cell metabolism; what is left to be assessed is what aspect of wt or mutant AR functionality promotes directly or indirectly the mutator phenotype.

3. AR protein complexes: contributors to CaP progression

Somatic gain-of-function mutations allow neoplastic cells to acquire new properties that can aid the cancerous cells in finding new avenues for progression to more advanced disease. A multitude of AR gain-of-function attributes are likely to exist and most probably reflected in the composition of the AR interactome. As such, many proteins have been identified that interact with the AR and collaborate with it to execute its transcriptional program [8789]. These observations suggest that the interplay between the AR, its associated interactors, and specific transcription factors can be selective and very dynamic [37, 58, 59, 87, 89]. All together, these findings also point to the complexity of the AR-interacting protein unit, suggesting that many functions of the AR are beyond our current understanding. Furthermore, the great functional diversity of the components of AR complexes exemplifies the intricate nature of protein–protein interactions associated with generating the appropriate AR biological output, and that mutant CaP ARs may have a their own unique ability to define new interactions. Therefore, the functional effect of AR needs to be investigated and show that certain AR properties, through protein–protein interactions can confer a growth advantage to cells. To do so, one would need to take into consideration a number of factors: (1) mutational status of the protein; (2) ligand status; (3) an amendable technology to assess protein–protein interactions; and (4) an encompassing process by which to analyze the data that would provide information on ontological function and most importantly clinical relevancy.

3.1. AR protein isolation methodology

To date, several techniques have been employed to isolate AR protein complexes including two-hybrid screens and GST pull-downs; however, several limitations have been an obstacle to isolating complexes in their natural cellular environment. First, previous approaches have either used yeast or bacterial systems [9092]. One shortcoming of these systems is that full-length AR cannot be expressed; therefore, only N- or C-terminal portions or specific AR domains have only been used. Second, within these systems, the use of a truncated AR, folding, and post-translationally modifications issues arise. Finally, the single most critical aspect of charactering any protein complex, for AR maintaining ligand binding, to the receptor during the isolation process, ensures an “active” complex is isolated. Therefore, our laboratory has developed a mammalian tissue cell culture expression and purification system that retains the ability of AR to maintain its ligand-binding activity [93, 94]. The purification method employed by the following methodology ensures up to 90% of labeled-androgen ligand is still bound to the AR following fractionation. We therefore have the ability to capture both cytoplasmic and nuclear ARs under physiological conditions, with excellent recovery, that demonstrate measurable hormone binding even in in vitroconditions. We then have undertaken the process of purifying a number of AR complexes: (1) 0CAG-AR, T877A-AR, WT-AR, in the presence or absence of the synthetic androgen mibolerone (MB) [59]; (2) T877A-AR, in the presence of a panel of hormone ligands (DHT, MB, testosterone, R1881, estradiol, dexamethasone, progesterone, and cyproterone acetate) [58]; (3) AR-V7 and ARv567es (Paliouras and Trifiro, unpublished data). We have been able to confirm the purification of our complexes by assessing known AR interactors [59]. However, to truly define the spectrum of proteins in the AR complexes, a more robust methodology and platform was needed, and as such, mass spectrometry approach was employed. Data generated by mass spectrometry were then analyzed using a sophisticated network analysis methodology.

3.2. Proteomic-coupled network analysis

Our ability to capture both liganded and unliganded AR complexes by affinity chromatography under physiological conditions allowed us to pursue a proteomics approach to characterize the components of AR complexes. This can be done by subjecting such complexes to tryptic digestion followed by MS to assign protein identification [9597]. To our MS data, a label-free quantitative method was also applied for the comparison of peptide abundance across the different experimental paradigms [98, 99].

Therefore, to highlight potentially novel gain-of-function properties associated with mutant CaP ARs, comparative proteomic characterization studies of AR complexes were done in different experimental backgrounds. To do so, we performed network analysis on individual AR-interacting protein lists derived from our proteomic studies and pursued comparative studies to analyze changes in protein composition based on stimulation condition. We have compiled a human protein interaction data from diverse data resources and annotation databases, such as Biomolecular Interaction Network Database (BIND) [100], the Database of Interacting Proteins (DIP) [101], Human Protein Reference Database (HPRD) [102], IntAct [103], and Molecular INTeraction database (MINT) [104], most of which contain curated interaction data and high-throughput data, consisting of 4000 proteins and 22,000 signaling relations/protein interactions.

Quantitative MS data, between stimulation conditions, were used to discern protein abundances. These values were then incorporated into the protein interaction network mapping, to represent a “strength of interaction” coefficient. Between the different experimental conditions, a comparative network analysis was applied [105108], which was different between our stimulation-specific networks, that is, hierarchical clustering. Immediately what was clear that specific AR protein complexes can be distinguished by the presence or absence of androgen [59]. Analysis of the T877A-AR promiscuous mutant, under different hormone stimulations, showed that although each hormone is able to induce androgen-dependent gene activation [e.g., prostate-specific antigen (PSA)], the proteome profile of each hormone is different. Moreover, although four different androgens were used (DHT, testosterone, MB, and R1881), the proteomic profiles of these androgen ligands do not segregate together. In our hierarchical clustering, we observed that progesterone and dexamethasone AR complexes have proteomic profiles that look like R1881 and MB, respectively [58]. Most recently, analysis of ARv567es protein interactome is very different from androgen stimulated full-length AR (unpublished data), even though ARv567es variant has been characterized as a “constitutively” active receptor [76, 77].

From the each AR variant protein interaction network, specific network modules (a set of interacting proteins constituting a subnetwork) are delineated by number of linked interacting proteins interactions and ontological function. The association of subnetwork modules based on biological processes may suggest pathways involved in either tumorigenesis or tumor metastasis. Therefore, to establish statistically significant biological functions, we also implemented the incorporation of Gene Ontological (GO) terms onto each protein the network. We extracted subnetworks in which GO-term-mapped-nodes were directly linked and highlighted subnetworks and pathways to identify gene enrichment of the proteins/genes from a set of clinical prostatic microarray datasets (http://www.ncbi.nlm.nih.gov/geo/) [109, 110] and RNA sequencing (https://tcga-data.nci.nih.gov/tcga/) [8, 111]. Results show that expression levels of the interacting partners/GO-terms were able to discern normal vs. cancer and correlated with patient survival. More intriguing, different AR protein interaction clusters could differentiate prostatic disease between White (non-Hispanic) vs. African-American males [58]. Nor could we find a gene set that was shared between the two diverse and genetically distinct groups of men. This would suggest that there are AR functional classes that can be used to predict prostatic disease between genetically diverse groups and presumably determine therapeutic modalities. However, the underlining mechanism for these results is not known at this time, although differential population-specific AR activity and disease susceptibility have been very well described clinically [112115]. Although there have been numerous studies employing microarrays, and recent proteomic screens [116, 117], simple single gene or protein analysis is inadequate to the study of complexity of disease processes, if conclusions toward clinical outcomes wish to be made. Although several “single” genes and proteins have been identified in these studies that are involved with distinct tumor progression and survival profiles and are proposed as prognostic markers; however, once these genes begin to be analyzed as a combined “cluster” model, they do not to translate into statistically significant results related to clinical specimens. The lack of understanding how these genes and proteins act within their functional context and how these components are integrated into signaling pathways and exist as dynamic complexes to execute distinct programs may be responsible for their failure to predict disease progression.

3.3. AR: More than a transcription factor

The above-mentioned work now strongly suggests that the AR functionality extends beyond its classical role as a transcription factor and includes the novel properties of alternative RNA splicing, DNA methylation, proteasomal interaction, and RNA translation at polyribosomes [58, 59], with evidence now suggesting that the ARv567es variant may also participate in glucose metabolism (Paliouras and Trifiro, unpublished data). A number of novel AR-interacting partners have been characterized, with the majority having been identified in the proteomic screen. These proteins include, heat-shock protein 27 (HSP27) [118], DDX5 [119], SAM68 [120], deleted in breast cancer 1 (DBC1) [121], minichromosome maintenance 7 (MCM7) [122], α-actinin 4 (ACTN4) [116], peroxiredin 1 (PRDX1) [123], DEAD-box polypeptide 17 (DDX17) [124], nucleophosim (NPM1) [125], and Ying Yang 1 (YY1) [126]. Furthermore, these findings point to the complexity of the AR-interacting protein unit and suggest it is involved in a number of different pathways that could function as part of a group of interconnected pathways, whose individual compositions alter depending on AR mutational and stimulation status, to generate the appropriate AR biological output.

4. Animal models for CaP

The impact of animal models, especially mouse models, has contributed tremendously to our understanding of tumorigenesis, disease etiology, and drug development. However, one of the difficulties with animals is recapitulating the heterogeneousness of the human cancer. Although mice and other animals do share a high degree of genetic similarity and protein homology, there are still some stark differences in trying to mimic human disease. For use of genetically engineered mouse models (GEMMs), several outstanding issues have arisen for the study of CaP and include the following: animal life span and correlating disease onset and stages of disease progression to human counterparts; the dissimilarities in prostate organs; diet and nutrition; and assessing clinical relevancy to disease pathology, etiology, and outcomes. For CaP researchers, along with GEMMs, a number of other animal model approaches can also be utilized, including a number of spontaneous non-murine CaP models, will also be discussed. Moreover, throughout the discussion of assessing CaP animal models, attempts will be made discuss the role AR continues to make.

4.1. Spontaneous non-murine models

One of the first animal models to study CaP was in rats. Rats are one of the few animals that develop spontaneous CaP disease [127, 128]. The best studied rat model is the Dunning rat model, which develops slow-growing, well-differentiated, and non-metastatic tumors. Some of the outstanding issues that arise are the rarity of tumors and the variability in the phenotypes. There is also a long latency period in tumor development and a lack of metastasis. However, tumors from Dunning rats are initially androgen dependent and eventually becoming androgen independent. Further refinement of Dunning rats has produced animals that are able to develop highly metastatic tumors that spread to lymph nodes and the lungs [129].

CaP also spontaneously occurs in dogs and most closely resembles humans in terms of disease characteristics [130]. CaP in dogs is age dependent, which ideally allows for the study of disease progression, and, in 24% of cases, is able to metastasize to bone. DPC-1, CaP cells derived from dogs, have also been observed to potentially display a number of molecular characteristics including androgen-dependent gene profiling with positive prostate-specific antigen (PSA) and prostate-specific membrane antigen (PMSA) expression [131, 132]. The expression of the progressive disease PMSA marker in DPC-1 cells have allowed for the development of directed radiolabeled-PMSA monoclonal antibodies for SPECT/CT imaging [133]. Another dog model, using cells derived from bone metastasis and injected into dogs, could similarly be used for PET imaging [134]. However, tumors do not regress in castrated dogs and thus are androgen independent. As with rats, there is also a relatively long period for tumor development in dogs. However, the high costs, the gestation period, and the difficulty to genetic manipulate the animals make dogs a very difficult model to use experimentally.

4.2. Genetically engineered mouse models (GEMM) for prostate cancer

Murine models are also not without their limitations, especially as there has not been a single reported case of mice spontaneously developing CaP [135]. Mice have the similar limitations as all other animal models that they are significantly thousands of time smaller and live 30–50 times shorter than humans [136]. As such, a great deal of time and effort has been put into genetically manipulating mice so that they do develop CaP and accurately represent the human disease. However, the human prostate is anatomical different from its mouse counterpart, as the mouse prostate has a lobular structure consisting of four lobes (anterior/coagulating, ventral, dorsal, and lateral) [137], the human prostate organ is a single lobe divided into three zones (central, transitional, and peripheral), and whether the stroma cells surrounding the mouse lobes is similar in comparison with the human stroma cells. The majority of human CaP is also found in the peripheral zone. In mice, the dorsal/lateral lobes have been best described as most similar to the human peripheral zone [135, 138]. On closer assessment, human and mouse prostates become more similar, with stroma cells surrounding epithelial cells. The epithelial cell compartment is also comprised by two cell layers (basal and terminally differentiated luminal cells); also, there are populations of epithelial cell precursors and neuroendocrine cells. In mice, basal cells differentiate into luminal and neuroendocrine cells during prostate development [135, 139].

From the first GEMM for prostate cancer (CaP) developed by Greenberg et al., 1994 [140], to the most recent AR splice variant model by Liu et al. [141], no single model accurately encompasses the entire spectrum of human CaP progression. As CaP is late onset and slowly developing disease, it would be counterintuitive to experimental design. Thus, criteria need to be considered when using mouse models: (1) should reproducibly recapitulate one or more stages of disease progression; (2) should originate within epithelial cells of the prostate; (3) although ideally progression to invasive adenocarcinoma would be desired, but prostatic intraepithelial neoplasia (PIN) should be observed and display associated pathological criteria such as increased inflammation; (4) should display the molecular pathology observed in human CaP tumors, this would include gene and protein expression profile changes that are indicative of an androgen responsive tumor; (5) tumor should respond to ADT or castration. Often times in humans, failure to respond to ADT is linked with the emergence of CRPC and is usually associated with increased expression and nuclear localization of AR since CRPC remains dependent on AR signaling [142]; (6) tumors should achieve bone metastasis (common sites of metastasis observed in human patients). Although rare bone metastasis has been observed in some GEMM, visceral (lung and liver) metastasis appears to be most common.

4.2.1. AR targeted models

Several attempts have been undertaken to produce a GEMM that targets AR signaling and function. The mouse AR (mAR) shares over 90% homology with its human ortholog; however, mAR interestingly lacks an expanded CAG-polyglutamine tract, instead mice possess a mixed CAG/CAC-glutamine/histidine tract. One of the first AR-targeted mouse models was to target the overexpression of mAR to the prostate secretory epithelium, using the prostate-specific and androgen-responsive mouse probasin (Pb) promoter [143]. By 52 weeks, mice developed high-grade prostatic intraepithelial neoplasia (HGPIN) by 52 weeks. Mice also showed increased proliferation in dorsal/lateral and ventral lobes as marked by increased expression of Ki67 proliferation marker. Even with the increased expression/activity of the mAR, it was insufficient to progress prostatic pathology to CaP.

Another group of investigators opted to take into consideration the differences in the genetic polymorphism of the polyglutamine tract between mice and humans and replace exon 1 of the mAR with exon 1 of the human AR [144]. Three transgenic whole knock-in “humanized” AR mice expressing three different polyglutamine tract lengths (12Q, 21Q, and 48Q) were created. As the length of the polyglutamine tract is linked to AR activity and risk for CaP [34, 51], the reasoning behind the three mice was to differentiated disease progression with AR activity. All mice appear to maintain androgen-dependent gene expression, however, do not develop any prostatic pathology, even with the short 12Q tract mouse. However, when these mice were crossed to TRAMP mice (see below), the length of the polyglutamine tract was linked to the initiation of prostatic tumors, with shorter having higher incidence of tumors vs. longer tracts, which appear to offer a degree of protection in tumor initiation. Of note, researchers also assessed AR mutations of tumors from their 21Q humanized AR crossed to TRAMP mice under a number of different conditions (intact, intact/bicalutamide, intact/flutamide, and castrated). Along with assessing specific somatic mutations (missense, non-sense, small indolent insertion/deletions), they also assessed changes in the length of polyglutamine tract. They found an average mutation rate of 4.0/10,000 bp of AR coding sequence, with missense mutations accounting for 54.1% of putative mutations, with a majority of mutations identified in one or two clones per tumor [145]. Half of the mutations identified also were found in the LBD region, as has often been shown to be responsible for promiscuous ligand-binding gain-of-function properties of the receptor [68, 146]. Contraction of the polyglutamine tract was also assessed, as it is also commonly observed in disease initiation; however, it was not observed. Although this AR mutation rate is higher than reported in clinical samples [39], it does highlight the mutational sensitivity of AR correlated to disease progression.

Recently, a GEMM was created to study the role of the AR splice variant, ARv567es, in CaP development [141]. ARv567es clone was cloned downstream of androgen responsive Pb promoter, where endogenous mAR would initially drive expression of the ARv567es, then upon castration of the animals, an adequate expression of ARv567es would then continue to expand its own expression. Thus, the investigators would be able to study the influence of ARv567es on the progression of CaP in castrate-resistant state. The coordinate expression of full-length AR and ARv567es variants were able to illicit epithelial hyperplasia by 16 weeks and invasive adenocarcinoma by 52 weeks. Upon castration at 16 weeks, mice were able to maintain nuclear localization of ARv567es and able to develop more aggressive neoplasias than sham controls. Gene expression profiling of tumors from ARv567es castrated mice also suggested that there is an enrichment of oncogenic pathways, including Wnt/β-catenin, NFkB, and K-Ras signaling, that have been linked to aggressive CaP.

4.2.2. TRAMP and LADY

The first murine prostate cancer models took advantage of some recent advances in the areas of oncogenetics and steroid hormone receptor functionality. As such, the viral SV40 early region, comprised of the large T antigen (Tag) and small t antigen, was cloned downstream of the androgen hormone responsive rat Pb promoter. After selection of lines of animals with higher expression of SV40 early region in the ventral and dorsal lobes, it yielded the transgenic adenocarcinoma mouse prostate (TRAMP) model [140, 147]. TRAMP mice develop progressive forms of CaP, even distant site metastasis. They are characterized with rapid development of PIN by 12 weeks with adenocarcinoma, predominantly in the dorsal/lateral lobes, arising by 24 weeks of age. The mice can also display castrate-resistant disease, where mice castrated at 12 weeks did not affect primary tumor development or metastasis in the majority of mice with 100% in the lymph and 67% lung metastasis [148].

The LADY CaP model is similar to the TRAMP model, in that it utilizes, rather than the entire SV40 early region, only the large T antigen under the control of the long 12-kb Pb promoter [149]. These mice also lead to the development of hyperplasia and PIN by 10 weeks, followed by high-grade epithelial dysplasia and adenocarcinoma by 20 weeks. By 33 weeks of age, the mice display metastatic disease to the liver, lung, and bone with a 90% penetrance [150]. The metastatic tumors are all neuroendocrine type cancers, similar to TRAMP metastatic tumors [151].

TRAMP and LADY models also have been used for a number of preclinical drug studies [152161]; however, questions arise Whether a model that develops localized primary prostatic disease between 20 and 24 weeks is a proper representation of human disease evolution? Furthermore, these models can be referred to as “brutish” with the utilization of the SV40 T antigen region; as such a genetic element has never been implicated in human CaP. However, the T antigen has been identified to bind and inhibit TP53 and RB tumor suppressors, the molecular chaperone DNAJ, and complement p300/CBP, while small t antigen has been shown to bind to the phosphatase PP2A and a number of proteins known to contribute to CaP and other neoplasias [162]. Loss-of-function/deletion mutations TP53 [163166] and RB [167172] have been linked to CaP progression, and together, DNAJ [173175] and p300/CBP [87, 176] have also been describe as AR protein complex proteins and shown to be involved in mediating AR signaling [37, 59, 87]. However, even if the TRAMP/LADY models can be considered feed-forward models, because of their dependency on AR signaling, to both drive expression of SV40 through the Pb promoter and simultaneously potentially contribute to a favorable cellular environment for AR function; the other questions to arise are Whether the molecular pathology of TRAMP/LADY mice share concordance with expression profiles (genes/proteins) found in clinical CaP specimens from representative disease stages? Currently, the analysis has not been performed.

4.2.3. PTEN deficiency

Phosphatase and tensin homolog (PTEN) is an important regulator of the PI3K/AKT signaling pathway and is frequently deleted/mutated in a number of human cancers [177182]. In CaP, PTEN deletions occur in approximately 23% of HGPIN, 68% of localized primary tumors [183], and 86% of CRPC [184] and thus has become a candidate for developing into a mouse model. Although homozygous knock-out (KO) Pten mice are embryonic lethal, heterozygous Pten+/− mice develop a number of neoplasias, including lymphomas, dysplastic intestinal polyps, endometrial complex atypical hyperplasia, and thyroid neoplasia [185]. However, common human tumors, such as brain, breast, and skin, associated with PTEN deletion are absent from mice. Pten+/− mice also have a spectrum of prostatic phenotypes, with 70% of mice displaying hyperplasia and dysplasia between 6 and 30 weeks [186]. Using a reduced activity of hypomorphic Pten allele, it has been shown that Pten+/hyp mice can promote progression from hyperplasia to PIN between 6 and 22 weeks of age between 25 and 37.5% of the time, however, with only a single case of adenocarcinoma observed [185, 187, 188].

Due to the latency of prostatic disease development in Pten+/− mice, researchers have undertaken to cross these mice with other genes associated with CaP with the objective to accelerate disease progression. This has included crosses to p27Kip1 and Nkx3.1 loss-of-function allele mouse strains. In 13–22 weeks, Pten+/−, p27Kip1-/- mice develop PIN with 100% penetrance and about 25% of mice develop invasive CaP [189]. Alone, Nkx3.1 loss-of-function mice do not develop PIN or CaP in mice; however, in combination with Pten+/− mice, they show an accelerated incidence and progression to HGPIN/early carcinoma at 26 weeks, with 100% penetrance of HGPIN at 52 weeks [190]. By allowing the Pten+/−; Nkx3.1+/− mice to age more than 52 weeks, allows HGPIN lesions to progress to invasive adenocarcinoma. Furthermore, surgical castration at 24 weeks, of these animals, resulted in partial regression of the prostatic lesions and decreased expression of AR [191].

In 2003, Wang et al., generated a mouse model that specifically deleted exon 5 of Pten in the prostate [192]. These mice developed hyperplasia in 4 weeks, PIN at 6 weeks, and frank adenocarcinoma with 100% penetrance between 9 and 24 weeks. The mice also respond to surgical castration with an observed increase in apoptosis and extended survival time vs. non-castrated animals. However, castrated animals still maintained prostates 5- to 10-fold larger than WT counterparts and reduced AR expression. Although reduced AR expression is consistent with other Pten deficiency mice, this is not what is observable in human CaP [193]. Additionally, metastasis to the lymph nodes and lungs at 12–29 weeks was observed in 45% of animals.

Currently, there are a number of prostate-specific conditional Pten KO mice that have been developed that employ alternative promoters. A PSA-promoter-driven Pten KO resulted in 100% penetrance of adenocarcinoma and carcinoma by 56 weeks [194]. However, by simultaneously knocking out, Pten and Nkx3.1, coupled with tamoxifen inductions, slowly developed HGPIN with microinvasion [195]. Tumors regress in castrated mice, but then continue to progress to microinvasive adenocarcinoma while maintaining nuclear AR expression, suggesting that AR signaling remains active in the mice following castration. Combinatorial ADT and inhibition of AKT (MK2206) and mTOR (MK8669) function significantly reduced tumor burden [196].

5. Cell metabolism, ROS, DNA damage, and the AR

The AR has long been known to have dramatic effects on the prostate gland. The acute withdrawal of androgens lead to severe atrophy of the prostate gland in short time frames originally referred to as involution, which in currently acknowledged as a programmed cell death event [197]. The AR also has significant effects on the overall anabolic and intermediary metabolism, promoting glucose uptake, and pursuing through both the glycolytic, TCA cycle and fatty acid metabolism.

A number of non-genomic influences have been associated with specific risks to the development of CaP, one of these risk factors has been nutrition and diet, especially Western (high-fat/low-carbohydrate) vs. non-Western (low fat/high carbohydrate) has been extensively reviewed [198200]. Likewise, GEMM also have been shown to be influenced by high-fat diets. TRAMP mice given a Western-type diet containing 21.2% fat and 0.2% cholesterol vs. regular chow diet (4.5% fat and 0.002% cholesterol), with 33% of mice showing large and very pronounced tumors at 28 weeks, with increased tumor size and weight and hyperplasia [201]. Western-type fed TRAMP mice also showed increased expression of cell cycle-related (cyclin D1) and proliferation (proliferating cell nuclear antigen—PCNA) markers. There was also an increase in lung metastasis with an average of 3 ± 1.04 foci vs. 0.43 ± 0.2 foci, in Western-type vs. regular chow-fed mice. Another group also observed similar results with a high-fat diet fed TRAMP mouse [202]. Along with seeing an increase in tumor size and increase prostatic hyperplasia, they also observed a decrease in the expression of glutathione peroxidase 3 (GPx3). GPx3 is an important antioxidant enzyme responsible for detoxifying cells of reactive oxygen species (ROS). Increased ROS levels in one of the consequences on high-fat diets and has been shown to interfere with a number of cellular processes, including damaging DNA [203]. GPx3 levels have been shown to be downregulated in CaP [204, 205]. The combinatorial observation that high-fat fed TRAMP mice have larger tumors with cellular changes (increased ROS levels, reduced GPx3 expression) suggests a potential mechanism for a role of cellular metabolism in CaP progression. Increased cellular metabolism and downstream effects of increased ROS levels and DNA damage create the scenario for tumor cells to incur more mutations that may lead to more aggressive tumor growth and drug resistance.

The AR thus has an intrinsic ingrained property of promoting prostatic cellular metabolism. It is not unreasonable that in CaP initiation and evolution, alterations in AR allowing further enhanced metabolism may be the fundamental mechanisms allowing for new mutations to be created. Heightened metabolism has a direct effect on reactive oxygen species generation (ROS) as hypermetabolism can result in exaggerated mitochondria fluxes [206211]. It is now well appreciated that cancer metabolism is unique many times demonstrating heightened glucose uptake and abnormal mitochondrial pathways including glutamine lysis and reverse carboxylation. These metabolic properties are not reflective of energy needs and can be considered in conjunction with fatty acid oxidations as a metabolic phenotype-supporting ROS leading to DNA alterations, in essence a powerful mutator phenotype.

© 2016 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Miltiadis Paliouras, Carlos Alvarado and Mark Trifiro (September 28th 2016). Redefining Androgen Receptor Function: Clinical Implications in Understanding Prostate Cancer Progression and Therapeutic Resistance, Prostate Cancer - Leading-edge Diagnostic Procedures and Treatments, Ravinder Mohan, IntechOpen, DOI: 10.5772/64392. Available from:

chapter statistics

1043total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Reconsideration of Hormonal Therapy in the Era of Next‐ Generation Hormonal Therapy

By Yasuyoshi Miyata, Yohei Shida, Tomohiro Matsuo, Tomoaki Hakariya and Hideki Sakai

Related Book

First chapter

Vitamin D and Cancer

By Khanh vinh quốc Lương and Lan Thị Hòang Nguyễn

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us