Open access peer-reviewed chapter

Activating Mutations and Targeted Therapy in Cancer

By Musaffe Tuna and Christopher I. Amos

Submitted: December 15th 2011Reviewed: April 3rd 2012Published: October 12th 2012

DOI: 10.5772/48701

Downloaded: 2242

1. Introduction

Neoplasia, the accumulation of abnormal cells, occurs because tumor cells often lose control of proliferative signaling, escape growth suppression, can become invasive and metastasize and grow in abnormal environments, induce angiogenesis, withstand cell death, deregulate cellular energetic constraints, avoid immune destruction, promote inflammation and enhance genome instability and mutation (Hanahan and Weinberg 2011). Understanding the mechanisms underlying both the sensitivity and the resistance of tumor cells to anticancer agents first requires understanding the global view of the cancer genome (genetic, genomic, and epigenetic alterations) to identify driver events that decisively influence the viability and clinical behavior of a given tumor. This knowledge, together with an understanding of the mechanism of action of drugs, will lead to the identification of novel targets and the development of targeted therapeutics in the appropriate patient subpopulation.

By 1982, mutations and chromosomal translocations had been established as key genetic mechanisms that are capable of driving cancer. Then, the MYC proto-oncogene was found to be activated by translocation as well as amplification, and amplification thus became recognized as an additional cardinal mechanism of cancer gene deregulation (Collins and Groudine 1982; Taub, Kirsch et al. 1982; Vennstrom, Sheiness et al. 1982; Alitalo, Schwab et al. 1983). Epigenetic modifications of genomic DNA or histones by methylation or acetylation also became recognized as key mediators of the cancer phenotype (Esteller 2007).

One of the first pivotal discoveries of activating mutations was within BRAF (Figure 1), which encodes a serine/threonine kinase oncogene that transmits proliferative and survival signals downstream of RAS in the mitogen-activated protein (MAP) kinase cascade (Davies, Bignell et al. 2002). This was after the discovery of HRAS mutations (Reddy, Reynolds et al. 1982; Tabin, Bradley et al. 1982) and similar mutations within KRAS(Capon, Seeburg et al. 1983; Shimizu, Birnbaum et al. 1983), NRAS(Bos, Toksoz et al. 1985), and other genes. Some of the driver mutations were found to be targets for therapy, whereas others play crucial roles in resistance to therapy. Here, we focus on activating mutations, small molecules that have been used to target mutated genes, and mutations that play crucial roles in resistance to certain therapeutic agents.

Figure 1.

The historical timelines for discovery of driver translocation, mutation and amplification.

2. Types of mutations

Oncogenesis results from mutations or alterations of genes that regulate cell functions such as proliferation, growth, invasion, angiogenesis, metastasis, death, energy metabolism, genome stability, and replication. Simple mutations can be induced in DNA by exposure to a variety of mutagens, such as radiation and chemicals, or by spontaneous errors in DNA replication and repair. Genes with mutations that cause cancer can be grouped into two classes: oncogenes and tumor suppressor genes.

Oncogenes are the mutant form of proto-oncogenes, a class of normal cellular protein-coding genes that promote the growth and survival of cells. Oncogenes encode proteins such as:

  1. Growth factors (e.g., PDGF and IGF1);

  2. Growth factor receptors (e.g., ERBB2, EGFR, and MET);

  3. Intracellular signal transduction factors (e.g., RAS and RAF);

  4. Cell cycle factors (e.g., CDK4);

  5. Transcription factors that control the expression of growth promoting genes (e.g., FOS, JUN, and MYC); and

  6. Inhibitors of programmed cell death machinery (e.g., BCL2).

Tumor suppressor genes, which control cell growth, can be grouped into two classes: gatekeeper and caretaker tumor suppressor genes. Gatekeeper tumor suppressor genes (e.g., RB1 and TP53) block tumor development by controlling cell division and survival, and caretaker tumor suppressor genes (e.g., MSH2 and MLH1) protect the integrity of the genome.

Activation of proto-oncogenes (activating mutations) can occur either by large-scale alterations, such as gain/amplification, insertion, or chromosome translocation, or by small-scale mutations, such as point mutation. Inactivation of tumor suppressor genes (inactivating mutations) can occur either by small-scale mutation or by large-scale alterations, such as loss of region of tumor suppressor gene or whole chromosome.

Small-scale mutations can be grouped into the following classes on the basis of the effect of the mutation on the DNA sequence:

  1. Base substitution mutation is the replacement (exchange) of a single nucleotide by another. Base substitutions can be either a transition—substitution of a pyrimidine by a pyrimidine (C↔T) or a purine by a purine (A↔G)—or a transversion—substitution of a pyrimidine by a purine or vice versa (A↔G, A↔C, G↔T, T↔C). Single nucleotide mutation can lead to qualitative rather than quantitative changes in the function of a protein. The biological activity can be retained, but the characteristics may differ, such as optimum pH and stability. Mutations that occur in coding DNA can be grouped into two classes:

  2. Synonymous (silent) mutations. In this type of mutation, even if the sequence changes, the amino acid is not altered due to the degenerate genetic code, except ifthe mutations affect splicing by activating a cryptic splice site or by altering an exonic splice enhancer sequence. Because silent mutations usually confer no advantage or disadvantage to the organism in which they arise, they are also called neutral mutations.

  3. Non-synonymous mutations. In this type of mutation, the altered sequence changes the amino acid, which can be a polypeptide (gene product) or functional non-coding RNA. Non-synonymous mutations may have a harmful effect, no effect, or a beneficial effect in the organism. Non-synonymous mutations can be grouped into nonsense mutations, where the altered amino acid is replaced by a stop codon, which results in premature termination and is likely to cause loss of function or expression because of degradation of mRNA, and missense mutations, where the altered codon specifies a different amino acid, which may affect protein function or stability. Splice site mutations are likely to cause aberrant splicing, such as exon skipping or intron retention, and mutations in promoter sequences can result in altered gene expression. Finally, some mutations alter the normal stop codon, which terminates mRNA transcription so that a longer or shorter amino acid than normal is translated.

  4. Deletions. In this type of mutation, one or more nucleotides are lost from a sequence.

  5. Deletion of multiple codons (three bases) may affect protein function or stability.

  6. A frameshift mutation—not of a multiple of three bases (codon)—is likely to result in premature termination with loss of function.

  7. A large deletion—partial- or whole-gene deletion—is likely to result in premature termination with loss of function or expression.

  8. Insertions. In this type of mutation, one or more nucleotides are added into a sequence.

  9. Insertion of 3 nucleotides (a codon) or of multiple codonsmay affect protein function or stability.

  10. A frameshift mutation, which occurs when either <3 or >3 nucleotides are inserted, is likely to result in premature termination with loss of function.

  11. A large insertion, which is partial-gene duplication, is likely to result in premature termination with loss of function. Whole-gene duplication may have an effect because of increased gene dosage.

  12. A dynamic mutation, which is the expansion of a dinucleotide or a trinucleotide repeat, may alter gene expression or may alter protein stability or function.

Whereas mutations in coding DNA have a phenotypic effect, mutations in non-coding DNA are less likely to have a phenotypic effect, except when the mutation occurs in a regulatory sequence such as a promoter sequence and miRNAs. Mutations exert their phenotypic effect through either gain of function or loss of function. Loss-of-function mutations result in either reduced activity or complete loss of the gene product. Gain-of-function mutations can result in either an increased level of expression or the development of a new function of the gene product.

Important progress has been made in developing new technologies for identifying mutations. One of these is next-generation sequencing. This technology enables the identification of copy number changes, chromosomal alterations such as translocations and inversions, and point mutations.

3. Activating mutations and targeted therapies

Recent advances in molecular oncology and discoveries in genetic alterations have yielded new treatment strategies that target specific molecules and pathways in the cancer cell and thereby shed light on personalized therapy. In the past, treatment decisions were based on pathologic results. Now, diagnostic or therapeutic decisions are often also based on genetics/genomic alterations. Currently, the genomic view effectively guides cancer treatment decisions and predicts therapeutic response. Early clinical success was achieved with all-trans retinoic acid therapy in patients with acute promyelocyticleukemia (characterized by chromosomal translocations involving retinoic acid receptor α, the target of all-trans retinoic acid) (Huang, Ye et al. 1988; Castaigne, Chomienne et al. 1990), Herceptin (trastuzumab, a monoclonal antibody) and in patients with breast cancer in which ERBB2 is amplified and/or overexpressed (Baselga, Tripathy et al. 1999; Slamon, Leyland-Jones et al. 2001; Vogel, Cobleigh et al. 2002). Also, imatinibmesylate and, subsequently, nilotinib (a selective ABL tyrosine kinase inhibitor [TKI]) have proved effective in patients with the BCR-ABL fusion gene, including most individuals (95%) with chronic myeloid leukemia (CML), which constitutively activates the ABL tyrosine kinase (Mauro, O'Dwyer et al. 2002). These successes motivated the discovery of new targets and selective inhibitors for those targets. Currently, targeted therapeutics are used to target receptor tyrosine kinases (EGFR, ERBB2, FGFR1, FGFR2, FGFR3, PDGFRA, PDGFRB, ALK, c-MET, IGF1R, c-KIT, FLT3, and RET), non-receptor tyrosine kinases (ABL, JAK2,and SRC), serine-threonine-lipid kinases (BRAF, Aura A and B kinases,mTOR,and PIK3), and DNA damage and repair genes (BRCA1 and BRCA2), however not all therapeutics are selective inhibitors. Here, we focus on activating mutations that are targeted by selective inhibitors to inhibit only mutated genes; EGFR, ALK, c-KIT, BCR-ABL, JAK2, BRAF, IDH1, IDH2, FLT3 and PIK3CA (Table 1).

EGFRBRAFKRASPIK3CAc-KITBCR-ABLIDH1JAK2
G719A12M117R13G12C5, 12E542K4, 5, 6, 28, 29K642E13, 22M244V10R132C2, 5, 8, 9, 19,20, 21, 27V617F8, 19, 20
G719C12I326T4G12R12E545K4, 5, 6, 9, 12, 28, 29L576P13L248V10R132H1,2, 9, 21, 26, 27K539L19
G719S12K439Q12G12S5, 12E545Q4W557R13G250E10R132S2, 9, 26N542E543del19
T790M12K439T12G12A5, 9, 12E545A4V559A13Q252H10R132G2, 9, 26F537-K539delinsK19
L858R4, 12T440P12G12D5, 12E545G4, 5, 29V560D22Y253F10R132L2, 9, 26H538-K539delinsL19
L858Q12V459L12G12V5, 12E545V4D816H13, 22Y253H10R132V2, 9F537-I546dupF547L19
L858L21G469A14G13C5, 12Q546K4, 6F504L13E255K10R132G2E543del19
D761Y12R462I5G13R12Q546E4S502-Y503insFA13E255V10V71I14, 24H538QK539L19
L747S12I463S5G13S12Q546P4K550N13D276G10G123R24I540-E543delinsMK19
T854A12G464E5, 11, 17G13A12Q546R4, 6Y553N13E279K10G97D9,25F547V19
P782L21G464V5, 11, 17G13D5, 12, 14Q546L4556insL13V299L10IDH2H538DK539LI540S19
F788L21G464R5, 11, 17Q61K10, 12, 13D549N4K558N13F311L10F537-F547dup19
R748K21, 22G466A6, 12, 13Q61L5, 10, 12H1047L4, 6, 29G565V13T315I10I540-N542delinsS19
L747–S752delG466E12, 13Q61R12, 13H1047R4, 5, 6, 9, 28, 29N566D13T315A10V294M13V536-F547dup19
E746-A750del4, 17, 28G466R12, 13Q61H5, 10, 12, 14Q1064R6V569G13F317L10R172K2, 9V536-I546dup19
S752-I759del4G466V 12, 13A146T5, 14A1066V6R634W13F317V10R172M2, 9
L707S25F468C5Y64D14Y1021C6V654A13F317C10R172G2, 9FLT3
T710A25G469A3,5, 10, 11, 12, 13,16L19F14G12-R19del6N655K13M351T10R172S2
E711V25G469E3,5, 10, 11, 12, 13,16K117N14R38H6D816H13E355G10R172W2, 9
E749K25G469R3,5, 10, 11, 12, 13,16E63K14R88Q4, 5, 6, 9D816V2, 13F359V10R140Q2, 9, 19, 20Y592A2
E762G25G469S3,5, 10, 11, 12, 13,16K147N28G106A6D820V13F359C10R140W2
A767T25G469V3,5, 10, 11, 12, 13,16G12F10, 12E109del6D820Y13V379I10R140L2, 26Y599F2
K745R28K475E13V344G6N822I13L384M10F691L2
G735S24N581S5E309NfsX106N822K2, 13L387M10
R108K9E586K17E453K4,6Y823D13H396R10
T263P9D587A5M1043V6, 9A829P13H396P10D835N2
A289V9D594G5, 13, 16, 23M1043I6I841V13F486S10D835Y2
G598V9D594K5, 13, 16, 23E81K6S864F13E459KD835A2
L861Q9D594V5, 13, 16, 23H1048R6V120F29D835E2
R680G9F595L5, 11G1049R6V560D22D835H2
G136A9G596R5E418K6Y503-F504insAY22D835V2
G136C9L597Q11, 12, 13, 17C420R6Y570-L576del22D835F2
G323A9L597R11, 12, 13, 17H701P6A599T15I836F2
A787C9L597S11, 12, 13, 17LWGIHLM10del9V833L10,30I836S2
C866A9L597V11, 12, 13, 17P18del9P577S10,30M837P2
G865A9T599I5N345K9V825A10,30Y842H2
C866T9T599-ins(T-T)13C420R9L576P30Y842D2
G971T9V600D3, 4, 5, 7, 9, 11, 12, 13, 17, 22, 23, 24E562K 30
G988A9V600E3, 4, 5, 7, 9, 11, 12, 13, 17, 22, 23, 24N564S30
D1006Y14V600G3, 4, 5, 7, 9, 11, 12, 13, 17, 22, 23, 24D816V2,10, 17
M178I28V600K3, 4, 5, 7, 9, 11, 12, 13, 17, 18, 19, 23D816H2, 10, 17, 26
I475V28V600M3, 4, 5, 8, 9, 11, 12, 13, 17, 22, 23, 24D816I10
S492R25V600RD816G10
F712S25V600-K605 ins13D816F10
T725T25K601E5, 13, 22V825A2
V742V21,25K601N5, 13, 22D816Y2, 17, 26
F795S25R682Q6R634R30
G796S25A728V1D820G19
G796V21V825I19
T751I21E839K19
R748K21I957T19
R836R25P31L19
T847I4R956Q19
Q820R21T22A19
E804G21G961S19
L828M21K642E13
F856Y21V559D22
F856L21W557R22
A839V21V559G22
G863D12, 21V559D13, 22
V851I12, 21V540L2
I821T21M541L2
I789I21
H870N21
V834A21
T725M17
L858R17
R832C17
A868D17
T852M17
T725A17
L703P17
S720F17
N700S17
R836S17
G721S17
L703P17
K708G17
P772-H773insV12
R108K9
L62R9
V651M9
R222C9
T263P9
A289T9
A289V9
A597P9
G598V9
C620Y9
S703F9

3.1. Activating mutations at BCR-ABL

In a normal cell, ABL protein is located in the nucleus, but in cancer cells the BCR-ABL fusion protein is found in the cytoplasm and is constitutively active (Goldman and Melo 2008). Studies have shown that BCR-ABL is oncogenic in hematopoietic cells, promoting leukemic cell proliferation and inhibiting apoptosis (Lugo, Pendergast et al. 1990; Stoklosa, Poplawski et al. 2008). Notably, BCR-ABL activity has also been found to stimulate the generation of mutagenic reactive oxygen species and to inhibit DNA repair mechanisms (Koptyra, Falinski et al. 2006; Fernandes, Reddy et al. 2009).

The discovery of this oncogenic fusion protein led to the development of imatinibmesylate. Imatinib, an ABL kinase inhibitor, was the first therapeutically successful treatment for CML and gained U.S. Food and Drug Administration approval in 2001. However, a substantial proportion of patients with CML developed resistance to imatinib because of mutation in BCR-ABL fusion gene (>90 mutations that affect >55 amino acid residues in BCR-ABL) (Table 1) (Branford 2007). Interestingly, BCR-ABL mutations were found in 57% of patients with acquired resistance to imatinib compared with 30% of patients with primary resistance (Soverini, Colarossi et al. 2006). The point mutation(s) in the BCR-ABL kinase domain result in the resistance to imatinib by reducing the flexibility of the kinase domain and its binding to imatinib, and inhibiting the activity of the kinase (Burgess, Skaggs et al. 2005; O'Hare, Walters et al. 2005).

T315I is the most common imatinib-resistant mutation in BCR-ABL; among the other highly imatinib-resistant mutations are L248V, Y253F/H, E255K/V, H396P/R, and F486S (Houchhaus, La Rosee et al. 2011). These discoveries were followed by the development of second-generation TKIs to inhibit BCR-ABL: dasatinib, and nilotinib. The response rate to these second-generation BCR-ABL inhibitorsin patients harboringimatinib-resistant mutations is variable, depending on the mutation: L248V (40%), G250E (33%), E255K (38%), and E255V (36%), but response rates are low in those harboring F317L (7%) or Q252H (17%) (Muller, Cortes et al. 2009). The following imatinib-resistant mutations are sensitive to nilotinib: M351T, G250E, M244V, H396R, F317L, E355G, E459K, F486S, L248V, D276G, E279K, and V299L. The following are sensitive to dasatinib: M351T, G250E, F359V, M244V, Y253H, H396R, E355G, E459K, F486S, L248V, D276G, E279K, Y253F, F359C, and F359I. The following mutations are resistant to dasatinib: V299L, T315A, and F317I/L. The following are resistant to nilotinib: Y253F/H, E255K/V, and F359C/V(Hochhaus, La Rosee et al. 2011). All three these inhibitors inhibit the catalytic activity of BCR-ABL by binding to the ATP-binding pocket of the ABL kinase domain.

3.2. Activating mutations at BRAF

One of the discoveries of mutations affecting cancer prognosis is BRAF mutations. BRAF has been discovered to be the most commonly mutated oncogene in melanoma (50–60%) (Davies, Bignell et al. 2002), papillary thyroid carcinoma (36–53%) (Yeang, McCormick et al. 2008), colon carcinoma (57%), serous ovarian carcinoma (~30%) (Yeang, McCormick et al. 2008), and hairy cell leukemia (100%) (Tiacci, Trifonov et al. 2011). To date, >60 distinct mutations in the BRAF gene have been identified (Table 1) (Garnett and Marais 2004; Catalog of Somatic Mutations in Cancer: www.sanger.ac.uk/genetics/CGP/cosmic/). The most prevalent mutation is a missense mutation in BRAF, which results in a substitution of glutamic acid to valine at codon 600 (BRAFV600E) and occurs in 90% of all BRAF mutations (Garnett and Marais 2004). BRAF encodes BRAF, a member of the RAF family of cytoplasmic serine/threonine protein kinases. BRAF phosphorylates MEK protein and activates ERK signaling, downstream of RAS, which regulates multiple key cellular processes that are required for cell proliferation, differentiation, apoptosis, and survival. The RAF family (A-RAF, B-RAF, C-RAF) members are components of a signal transduction pathway downstream of the membrane-bound small G-protein RAS, which is activated by growth factors, hormones, and cytokines (Robinson and Cobb 1997).

MEK inhibitors suppress ERK signaling in all normal and tumor cells. In contrast, the RAF inhibitor vemurafenib inhibits the ERK pathway and cell proliferation only in tumor cells with mutant BRAF. Targeted therapy and selective inhibitors for certain altered genes are crucial to enable targeting of tumor cells but not normal cells.

Mutated BRAFactivates and deregulates the kinase activity of BRAF. The recently developed BRAF inhibitor vemurafenib (PLX4032) inhibits RAF activation selectively only in cells carrying the BRAF V600E mutation. Clinically, vemurafenibhas an 80% response rate in metastatic melanoma patients harboring the BRAFV600E mutation, but 18% of patients treated with vemurafenib develop at least one squamous-cell carcinoma of the skin or keratoacanthoma as an adverse event (Chapman, Hauschild et al. 2010). The remaining 20% of patients who harbor the BRAF V600E mutation, and also patients who do not harbor the BRAFV600E mutation, are resistant to vemurafenib. Other mechanisms that cause vemurafenib resistance are mutations in NRAS and c-KIT alterations. c-KITalterations (mutations and/or amplifications) are found more frequently (28-39%) in melanomas from acral, mucosal, and chronically sun-damaged sites (Curtin, Busam et al. 2006), whereasuveal melanomas uniquely harbor activating mutations in the a-subunit of a G proteins of the Gq family, GNAQ and GNA11 (Van Raamsdonk, Bezrookove et al. 2009; Van Raamsdonk, Griewank et al. 2010).NRAS mutations are observed in 15–30% of cutaneous melanomas and are mutually exclusive of BRAF mutations; the most common change occurs at G12 or Q61 (Brose, Volpe et al. 2002). Currently, no selective inhibitor for those mutations exists. In contrast, BRAF mutations are also found in colon cancer (8%) (Hutchins, Southward et al. 2011), papillary thyroid cancer (44%) and anaplastic thyroid cancer (24%) (Xing, Westra et al. 2005), but limited study has reported to date. However, vemurafenib has limited therapeutic effects in BRAF (V600E) mutant colon cancers because inhibition of BRAF (V600E) causes a rapid feedback activation of EGFR, which induces continued proliferation in BRAF (V600E) inhibited cells. Therefore, blocking the EGFR by gefitinib, erlotinib or cetuximab has strong synergistic with inhibition of BRAF (V600E) by vemurafenib in colon tumor cell in vivo and in vitro (Prahallad, Sun et al. 2012). The question remains to answer whether the same BRAF selective inhibitor can be effective in other tumor types due to lack of evidence.

3.3. Activating mutations at PIK3CA

Shortly after BRAF mutations were found and selective inhibitors of the mutant BRAF were developed, activating point mutations were found in PIK3CA(Samuels, Wang et al. 2004) in a variety of cancers, including breast (20–30%) (Bachman, Argani et al. 2004; Campbell, Russell et al. 2004), colorectal (Parsons, Wang et al. 2005), endometrial (Samuels and Ericson 2006), ovarian, and hepatocellular cancers and medulloblastoma(Broderick, Di et al. 2004), among others (Kang, Bader et al. 2005; Lee, Soung et al. 2005). PIK3CA encodes the p110α catalytic subunit of phosphatidylinositol 3-kinase (PI3K), a lipid kinase that drives AKT signaling to govern cell growth and survival. PI3Ks are heterodimers, composed of catalytic (p110α; PI3Kα) and regulatory (p85) subunits. Catalytic units include the ABD, RBD, C2, helical, and kinase domains, whereas the regulatory unit comprises the SH3, GAP, nSH2, iSH2, and cSH2 domains. Mutations mostly cluster between the kinase domain and other domains within the catalytic subunit (Huang, Mandelker et al. 2007). The family of receptor tyrosine kinase, together with the MAP kinase and PI3K cascades, forms part of the obsoletegrowth factor signaling pathway governing tumor cell growth and survival (Samuels, Diaz et al. 2005). Due to complexity and diverse activation of PI3K signaling, such as activating mutations or amplification of PIK3CA, or upstream of RTK, loss of PTEN or activating mutations of RAS in human cancers (Courtney, Corcoran et al. 2010), developing the effective therapeutic agents against PIK3CA might be more challenging (Zhao and Vogt 2008). Hereby, either single agents or combination with other therapeutic agents against to PIK3CA are under development (Courtney, Corcoran et al. 2010).

3.4. Activating mutations at EGFR

This finding was followed by the identification of activating point mutations and small insertions/deletions in EGFR, an oncogene encoding a receptor tyrosine kinase, which is present more frequently in East Asian individuals with non–small-cell lung cancer (NSCLC) (25%) than in Caucasian people (10–15%) and occurs most frequently in lung adenocarcinomas (Lynch, Bell et al. 2004; Paez, Janne et al. 2004; Pao, Miller et al. 2004). Activating mutations were initially identified in 3 kinase domain exons (18, 19, and 21), encoding G719S and G719C in exon 18 and L861Q in exon 21; the most common mutations are small in-frame deletions in exon 19 and the leucine-to-arginine substitution mutation L858R. L858R mutation causes constitutive activation of the tyrosine kinase of EGFR. Oncogenic mutation of EGFR activates downstream signaling pathways of EGFR, which are implicated in tumor cell growth, proliferation, and survival. This discovery led to the development of the selective EGFR TKIs erlotinib and gefitinib. Inhibition of EGFR by EGFR inhibitors blocks the activity of tyrosine kinase, and hence the activation of the downstream cellular pathways. Individuals with lung adenocarcinoma harboring the G719S and L858R mutations are sensitive to gefitinib or erlotinib. Although patients harboring these mutations have a high response rate to the EGFR inhibitors gefitinib and erlotinib, the duration of the response is not long, and patients relapse after about a year of treatment (Pao and Chmielecki 2010).

One of the mechanisms by which resistance to erlotinib or gefitinib develops in 50% of relapsed patients is acquisition of a resistant mutation in exon 20 (T790M) in EGFR(Kobayashi, Boggon et al. 2005; Pao, Miller et al. 2005) or activating mutation in KRAS(Pao, Wang et al. 2005). A second mutation in EGFR (T790M) is also found rarely in the germline to be associated with an inherited susceptibility to lung cancer (Bell, Gore et al. 2005; Vikis, Sato et al. 2007). This mutation has been shown to decrease the affinity of EGFR to gefitinib in the L858R mutant by increasing the affinity of EGFR to ATP (Yun, Mengwasser et al. 2008). This resistant mutant led to the development of promising new agents as second-generation EGFR inhibitors (Li, Shimamura et al. 2007; Li, Ambrogio et al. 2008; Zhou, Ercan et al. 2009). Another mechanism by which resistance to erlotinib or gefitinib develops is amplification (20%) or mutation (Y1230H) in MET, an oncogene encoding receptor tyrosine kinase (Bean, Brennan et al. 2007; Engelman, Zejnullahu et al. 2007). Overexpression of HGF, a specific ligand of MET, is another mechanism by which resistance to EGFR inhibitors develops (Yano, Wang et al. 2008).

Gefitinib and erlotinib are first-generation, reversible EGFR inhibitors. Currently being developed are second-generation irreversible EGFR inhibitors, which inhibit EGFR kinase activity even when the T790M mutation is present. Neratinib (HKI-272) (Li, Shimamura et al. 2007; Wong, Fracasso et al. 2009; Sequist, Besse et al. 2010) and afatinib (BIBW 2992) (Eskens, Mom et al. 2008; Li, Ambrogio et al. 2008; Yap, Vidal et al. 2010) are dual inhibitors against EGFR and HER2, and PF-00299804 is a multi-inhibitor against EGFR, ERBB2, and ERBB4 (Engelman, Zejnullahu et al. 2007). For MET gene amplification, the MET inhibitor PHA-665752 has been developed (Engelman, Zejnullahu et al. 2007). Recently, new EGFR inhibitors (WZ4002, WZ3146, and WZ8040) have been reported that suppress the growth of EGFR T790M-containing cell lines by inhibiting phosphorylation (Zhou, Ercan et al. 2009). Erlotinib has a statistically significantly higher response rate than chemotherapy (83% vs 36%) (Friedrich 2011). In fact, some activating mutations, like those of KRAS, may not be drug targets but may rather govern the resistance to selective inhibitors of EGFR (Allegra, Jessup et al. 2009). Activating mutations of EGFR are also present in glioma, breast, endometrial and colorectal carcinomas. KRAS mutations at G12 and G13 are associated with resistance to erlotinib or gefitinib in EGFR mutated lung adenocarcinoma parients (Pao, Wang et al. 2005) and metastatic colorectal carcinoma (Allegra, Jessup et al. 2009).

Shortly after the discovery of EGFR mutations, somatic activating mutations of ERBB2 were found in 2–4% of patients with lung adenocarcinoma. ERBB2 is a receptor tyrosine kinase, one of the members of ERBB family, and the only one that does bind to any known ligand but activates downstream signaling pathways by homo- or hetero-dimerization with other ERBB family members. Small in-frame insertion mutations span exon 20 of the kinase domain of ERBB2, and these are analogous to the mutations in the paralogous exon 20 in the EGFR gene that confer resistance to erlotinib or gefitinib. ERBB2 is a receptor tyrosine kinase that heterodimerizesor homodimerizes with EGFR and other members of the ERBB family, ERBB3 and ERBB4, to activate downstream signaling pathways(Hynes and Lane, 2005)..

3.5. Activating mutations at JAK2

The discovery of the somatic gain-of-function mutation (V617F) in Janus kinase 2 (JAK2) in >90% of individuals with polycythemiavera, 50% of individuals with primary myelofibrosis, and 60% of those with essential thrombocytopenia (Levine, Wadleigh et al. 2005), all of which are Philadelphia chromosome -negative myeloproliferative neoplasms, generated interest in developing JAK2 inhibitors. The JAK kinases (JAK1, JAK2, JAK3, and JAK4) were first identified in 1989 (Wilks 1989). Structurally, all members of the JAK family contain seven distinct domains: JAK homology (JH) domains 1 to 7 (JH1–7). The tyrosine kinase domain (JH1) is located at C-terminus of the protein and is responsible for the kinase activity. The pseudokinase domain (JH2) has no kinase activity, but deletion of the JH2 domain leads to increased kinase activity. JH3 and JH4 are similar to the SH2 domain, and their roles are still unclear (Wilks, Harpur et al. 1991; Lindauer, Loerting et al. 2001; Giordanetto and Kroemer 2002; Saharinen and Silvennoinen 2002). JH5, JH6, and JH7 are located at the amino-terminus of the protein and play a role in binding the JAK molecule to the cytokine receptor and in maintaining receptor expression at the cell surface (Huang, Constantinescu et al. 2001). JAK2 is a nonreceptor tyrosine kinase that mediates signals between cytokine receptors and downstream targets.

An activating mutation of JAK2, a valine-to-phenylalanine substitution at position 617 (V617F) (Scott, Tong et al. 2007), leads to constitutive activation of STAT5. The JAK inhibitors INCB01824, TG101348, and lestaurtinib (CEP701), which inhibit JAK1 and JAK2, results in a marked reduction (>50%) in massive splenomegaly (Verstovsek, Kantarjian et al. 2010).

3.6. Activating mutations at c-KIT

Other kinase activating mutations have been found in the oncogene c-KIT in gastrointestinal stromal tumors (GIST), acral or mucosal melanoma, endometrial carcinoma, germ cell tumors, myeloproliferative diseases, and leukemias, which is the mutations cause constitutive activation of c-KIT (Malaise, Steinbach et al. 2009). c-KIT is a transmembrane cytokine receptor tyrosine kinase that is expressed on the surface of hematopoietic stem cells. Most GIST patients who harborc-KIT mutations have a response to imatinibmesilate (80%). This raises the question of whether imatinib or nilotinib (TKIs) may elicit clinical responses in KIT-mutant melanoma or endometrial carcinoma or in other cancers that harborKIT mutations. Acquired resistance to imatinib commonly occurs via secondary gene mutations in the c-KIT kinase domain in GIST. For example, the V560G mutation in KIT is sensitive to imatinib, although the D816V mutation is resistant to imatinib (Mahadevan, Cooke et al. 2007).

3.7. Mutations at IDH1 and IDH2

IDH1 encodes a nicotinamide adenine dinucleotide phosphate (NADP)+-dependent enzyme that converts isocitrate to 2-ketoglutarate in the cytoplasm. Somatic mutations were found to be present in IDH1 and IDH2 in 88% of individuals with secondary glioblastomas, 68% of those with grade II glioma (lower grade diffuse astrocytomas), 78% of those with grade III anaplastic astrocytomas, and 69% of those with grade III anaplastic oligodendrogliomas (Dang, Jin et al. 2010; Dang, White et al. 2010) as well as 31% of patients with myeloproliferative neoplasm (Green and Beer 2010) and 10% of those with acute myeloid leukemia (AML) (Dang, Jin et al. 2010; Yen, Bittinger et al. 2010). Mutations in IDH were first reported to be activating mutations, but subsequent studies of mutations at arginine R132 (in IDH1) and at R140 or R172 (in IDH2) in the enzyme showed a gain of new function and the ability to convert alpha-ketoglutarate to 2-hydroxyglutarate (Dang, White et al. 2009). Mutations that have been reported in IDH1 and IDH2 are summarized in Table 1. Mutations in these metabolic enzymes uncover novel avenues for the development of anticancer therapeutics, but specific inhibitors are needed for the mutated forms R132, R140, or R172. It is not clear what the role of this mutation is in cancer and whether it is crucial for tumorigenesis, although the 2-hydroxyglutarate metabolite is a biomarker that can be measured in whole blood and used to select targeted therapy (Yen, Bittinger et al. 2010).

3.8. Fusion genes

Another recent breakthrough was the discovery of translocations or other chromosomal rearrangements between ETS transcription factors (ERG, ETV1, and ETV4) in >40% of prostate cancers (Tomlins, Rhodes et al. 2005; Tomlins, Laxman et al. 2007; Berger, Lawrence et al. 2011) and the fusion of anaplasticlymphoma kinase (ALK) with other genes in NSCLC (Soda, Choi et al. 2007; Choi, Soda et al. 2010). Echinoderm microtubule-associated protein-like 4 (EML4) is fused to ALK, which leads to a fusion-type tyrosine kinase between the N-terminus of EML4 and the C-terminus of the ALK that is a chimeric oncoprotein and is found in 3–5% of NSCLC tumors(Soda, Choi et al. 2007; Choi, Soda et al. 2010). The inversion on chromosome 2p [inv(2)(p21p23)] leads to formation of the ELK4-ALK fusion oncogene. The chromosomal inversion occurs in different locations, and multiple EML4-ALK variants have been reported; all involve the intracellular tyrosine kinase domain of ALK (exon 20) but different truncation of EML4 (exon 2, 6, 13, 14, 15, 17, 18, or 20), TFG, and KIF5B; the most common inversion is in exon 13 of EML4(Hernandez, Pinyol et al. 1999; Choi, Takeuchi et al. 2008; Takeuchi, Choi et al. 2009). The amino-terminal coiled-coil domain within EML4 is necessary and sufficient for the transforming activity of EML4-ALK (Soda, Choi et al. 2007). This fusion tyrosine kinase may activate downstream signaling pathways of ALK, such as RAS/RAF. This recent discovery of the genetic rearrangement between ALK and the aforementioned genes has led to the development of another targeted agent, crizotinib (PF-02341066), for the treatment of NSCLC. Crizotinib, a TKI that was initially designed as an inhibitor of MET, is currently used to inhibit both tyrosine kinases, MET and ALK in NSCLC. ALK rearrangement has been found mostly in younger and more likely to be never or light smoker lung adenocarcinomas and is more frequent in the Asian population than in the American or European population (Sasaki, Rodig et al. 2010). Patients who developed resistance to BRAF inhibitors were found to be harboring the C1156Y (46.6%) and L1196M (15.1%) mutations in the ALK gene (Choi, Soda et al. 2010) and also the F1174L mutation (Sasaki, Okuda et al. 2010).

3.9. Activating mutations at FLT3

FLT3 encodes a receptor tyrosine kinase that is involved in stem cell development and differentiation, stem and/or progenitor cell survival, and the development of B-progenitor cells, dendritic cells, and natural killer cells in the bone marrow (Small, Levenstein et al. 1994). Two common mutations have been found in AML: internal tandem duplication (ITD) in-frame mutations of 3–400 base pairs in the juxtamembrane region, and point mutations in the tyrosine kinase domain (TKD) D835 (7%). Mutations in the ITD and TKD lead to constitutive activation of tyrosine kinase (Abu-Duhier, Goodeve et al. 2001), and this finding led to the design of the first-generation FLT3 inhibitors lestaurtinib (CEP701) (Smith, Levis et al. 2004), midostaurin (PKC412A) (Stone, DeAngelo et al. 2005), sunitinib (SU11248)(O'Farrell, Foran et al. 2003), sorafenib (BAY43-9006), and tandutinib (MLN518), followed by the second-generation FLT3 inhibitors KW2449 (Pratz, Cortes et al. 2009) and AC220 (Zarrinkar, Gunawardane et al. 2009).

4. Future directions

Drugs targeting some of these mutations are now either undergoing clinical testing or have protocols in the approval process. The discovery of base mutations through systematic DNA sequencing has provided decisive genetic evidence that these same pathways play crucial roles in tumorigenesis and maintenance and has also opened up new avenues for the deployment of targeted therapeutics. We are just starting to understand the genetic mechanisms that lead to the development of cancer and play a role in treatment.Hence, we are still at the beginning of the road map to targeted therapy. We still need to discover all activating mutations or other chromosomal rearrangements, inactivating mutations, and epigenetic alterations in the genome that drive cells to tumorigenesis for each type and subtype of cancer, and we need to identify resistant and sensitive mutations to find the correct targets for the development of new selective therapeutic agents, and use combination of selective therapeutic agents.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Musaffe Tuna and Christopher I. Amos (October 12th 2012). Activating Mutations and Targeted Therapy in Cancer, Mutations in Human Genetic Disease, David N. Cooper and Jian-Min Chen, IntechOpen, DOI: 10.5772/48701. Available from:

chapter statistics

2242total chapter downloads

1Crossref citations

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

Missense Mutation in AR-CGD

By M. Yavuz Köker and Hüseyin Avcilar

Related Book

First chapter

Point Mutations, Their Transition Rates and Involvements in Human and Animal Disorders

By Viliam Šnábel

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