Knowledge of tumor mutation status is becoming increasingly important for the treatment of cancer, as mutation-specific inhibitors are being developed for clinical use that target only sub-populations of patients with particular tumor genotypes. Melanoma provides a recent example of this paradigm. We report here development, validation, and implementation of an assay designed to simultaneously detect 43 common somatic point mutations in 6 genes (BRAF, NRAS, KIT, GNAQ, GNA11, and CTNNB1) potentially relevant to existing and emerging targeted therapies specifically in melanoma.
The test utilizes the SNaPshot method (multiplex PCR, multiplex primer extension, and capillary electrophoresis) and can be performed rapidly with high sensitivity (requiring 5–10% mutant allele frequency) and minimal amounts of DNA (10–20 nanograms). The assay was validated using cell lines, fresh-frozen tissue, and formalin-fixed paraffin embedded tissue. Clinical characteristics and the impact on clinical trial enrollment were then assessed for the first 150 melanoma patients whose tumors were genotyped in the Vanderbilt molecular diagnostics lab.
Directing this test to a single disease, 90 of 150 (60%) melanomas from sites throughout the body harbored a mutation tested, including 57, 23, 6, 3, and 2 mutations in BRAF, NRAS, GNAQ, KIT, and CTNNB1, respectively. Among BRAF V600 mutations, 79%, 12%, 5%, and 4% were V600E, V600K, V600R, and V600M, respectively. 23 of 54 (43%) patients with mutation harboring metastatic disease were subsequently enrolled in genotype-driven trials.
We present development of a simple mutational profiling screen for clinically relevant mutations in melanoma. Adoption of this genetically-informed approach to the treatment of melanoma has already had an impact on clinical trial enrollment and prioritization of therapy for patients with the disease.
Citation: Lovly CM, Dahlman KB, Fohn LE, Su Z, Dias-Santagata D, Hicks DJ, et al. (2012) Routine Multiplex Mutational Profiling of Melanomas Enables Enrollment in Genotype-Driven Therapeutic Trials. PLoS ONE 7(4): e35309. doi:10.1371/journal.pone.0035309
Editor: Keiran Smalley, The Moffitt Cancer Center & Research Institute, United States of America
Received: January 27, 2012; Accepted: March 13, 2012; Published: April 20, 2012
This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Funding: This work was supported by a VICC Cancer Center Core Grant (CA68485), the TJ Martell Foundation, the Kleberg Foundation, the National Institutes of Health / National Cancer Institute 5K24 CA97588-06 (JS), the American Cancer Society (Mary Hendrickson-Johnson Melanoma Professorship to JS), the Department of Veterans Affairs (Senior Research Career Scientist Award to AR), the Valvano Foundation (to JS and AR), the Vanderbilt Institute for Clinical and Translational Research (VICTR) CTSA grant (UL1 RR024975-01), and an anonymous donor. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Please note: WP has done consulting for Bristol-Myers Squibb and has received research funding from AstraZeneca. However, this is NOT related to the current study.
Competing interests: WP: Consulting for Bristol-Myers Squibb; funding from AstraZeneca. DDS and AJI submitted a patent application for the SNaPshot genotyping methods described, which are the subject of licensing discussions. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.
Melanoma is a malignant tumor of melanocytes. Although the disease accounts for only 4% of all dermatologic cancers, it is responsible for 80% of deaths from skin cancer, with over 8,700 deaths projected in the USA in 2011 . The 5 year survival for patients with metastatic disease not treated with surgical resection is well under 10%.
Historically, the disease has been classified based on histologic and morphologic findings of the tumor tissue as well as the anatomic site of origin. More recently, mutation profiling studies have revealed that melanoma is further comprised of clinically relevant molecular subsets defined by specific ‘driver’ mutations. Such mutations occur in genes that encode signaling proteins critical for cellular proliferation and survival. At least 6 genes have been shown to be recurrently mutated in melanoma, including the serine-threonine kinase encoded by BRAF ; the receptor tyrosine kinase encoded by KIT ; the GTP-binding proteins encoded by NRAS , GNA11 , , and GNAQ , ; and the WNT signaling pathway component encoded by CTNNB1 . With the exception of CTNNB1, a tumor with an alteration in one of these genes rarely has a mutation in one of the other genes. Together, mutations in these genes can be found in approximately 70% of melanomas, depending on the site of origin of the primary lesion (Table 1). The frequency of gene mutation not only varies by site of origin but also by the presence or absence of chronic solar damage (CSD). For example, in skin intermittently exposed to sun, approximately 80% of melanomas have mutations in BRAF or NRAS. On the other hand, 15–20% of melanomas occurring on mucosal, acral, and CSD skin have a KIT mutation while few have BRAF mutations (5–15%). The KIT gene is wild-type (WT) in melanomas arising from skin without CSD .
Tumor mutation status has been linked with sensitivity of melanomas to specific targeted therapies. Tumors that harbor BRAF V600E mutations display high radiographic response rates to mutant-specific inhibitors such as PLX4032/RG7204/vemurafinib (Plexxikon/Roche) ,  and GSK2118436 (GlaxoSmithKline) , while patients whose tumors have certain KIT mutations (L576P, K642E, V559A) have disease sensitive to the KIT inhibitor, imatinib (Table 1) , , , , , , , , . Preclinical data suggest that MEK inhibition with drugs like AZD6244 or GSK1120212 may be effective for uveal melanomas carrying GNAQ or GNA11 mutations . Tumors with NRAS mutations may respond to more potent MEK inhibitors (GSK1120212) or may require blockade of pathways mediated by both MEK and PI3K or other strategies directed at the MET receptor or ligand , .
We report here the development, validation, and clinical implementation of a multiplexed assay designed to simultaneously detect 43 recurrent mutations in BRAF, KIT, NRAS, GNA11, GNAQ, and CTNNB1 using tumor-derived DNA from formalin-fixed paraffin-embedded (FFPE) tissues. The assay was adapted from a previously implemented genotyping platform designed for targeted mutational analysis of a broader set of tumor types . The screen uses SNaPshot technology (Life Technologies/Applied Biosystems), which involves multiplexed amplification of DNA targets by the polymerase chain reaction (PCR) with unlabeled oligonucleotide primers, multiplexed single-base primer extension with fluorescently-labeled dideoxynucleotides, and analysis of labeled primer-extension products by capillary electrophoresis. Compared to direct sequencing, multiple publications have already documented that the SNaPshot assay offers higher analytical sensitivity and reduced complexity , , . Our assay provides a robust and accessible approach for the rapid identification of important mutations in melanoma that can enable prioritization of specific targeted therapies. As proof of principle, we present our clinical experience with the initial 150 consecutive patients whose melanomas were prospectively screened and its impact on clinical trial assignment.
Cell Lines and Tumor Samples
Genomic DNA was derived from 16 cancer cell lines (10 melanoma cell lines and 6 additional various carcinoma cell lines used as additional positive and negative controls; Table S7) in addition to 24 fresh-frozen primary human melanomas. The following cancer cell lines were generously provided by Dr. David Solit (Memorial Sloan Kettering Cancer Center): WM1361A , SK-MEL-238 , SK-MEL-90 , MEL270 , and 92.1 . The following cell lines were generously provided by Dr. Meenhard Herlyn (The Wistar Institute): WM1963 , WM3682 , WM115 , WM266-4 , and WM3211 . The following cancer cell lines were available in the Pao laboratory: H358 , H2009 , H460 , H1975 , H1666 . The LoVo  cell line is available commercially from the American Type Culture Collection (ATCC). DNA was either kindly provided by collaborators or was isolated using a DNeasy® kit (Qiagen Inc.). Some of these samples were subjected to whole genome amplification using the GenomiPhi DNA amplification kit (GE Healthcare) prior to use, as indicated. An additional 17 FFPE-derived DNA samples were extracted using a QIAamp DNA FFPE tissue kit (Qiagen, Inc.) and/or generously provided by collaborators. Human male genomic DNA (Promega Corporation) was used as a WT control.
The basic SNaPshot technique for cancer mutation analysis has been described . The standard operating procedure protocol is provided in the Methods S1. PCR primers for this specific melanoma screen are listed in Table S1. Single-base extension primers are listed in Table S2. The concentration of PCR and extension primers in each panel were optimized so that all fluorescently labeled fragments displayed similar peak heights after capillary electrophoresis (Figure 1A). Each peak was individually validated with DNA from cell lines containing known mutations or ‘spiking primers’ (i.e. oligonucleotides; Table S3) harboring mutations of interest (Figure S1A–E). For each panel, the spiking primers were mixed to create a pan-positive control mix using pools of ‘spiking primers’ (Table S4) to detect all possible known mutations at each site (Figure 1B). Using genomic DNA from frozen tissue samples, we were able to reliably perform the entire SNaPshot screen with all five panels using 20 nanograms of DNA per panel.
A, five multiplexed panels can detect the mutational status of twenty gene loci. Each peak color represents a particular nucleotide at that locus. The gene name, amino acid, and nucleotide are labeled above each peak. An “(R)” after the nucleotide denotes a reverse extension primer. B, pan-positive control for melanoma SNaPshot screen. Peaks are labeled as described in A. C, SNaPshot sensitivity measurement using cell line DNA carrying known mutations. Numbers indicate the arbitrary fluorescence units of WT (panel 1: green, panels 2, 3: blue) and mutant (panel 1: blue, panels 2, 3: green) peaks. Solid arrows indicate mutant peaks and dotted arrows show background peaks. Background peaks in the negative controls (far right panel) are indicated by their peak height and a star (*).
To measure assay sensitivity, one representative mutation in each of the five panels was studied, using mixtures of male human non-neoplastic genomic DNA and DNA from positive control cell lines with known mutations. Cell lines SK-MEL-238, PA1, and WM1361A were used as examples for sensitivity measurements of BRAF V600K, NRAS G12D, and NRAS Q61R mutations, respectively (Figure 1C and data not shown). For any given locus, a mutation was called confidently if its peak height was greater than or equal to 10% of the corresponding heterozygous WT peak in the same sample. If the height of a potential mutation peak was less than 10% of the corresponding WT peak or if no WT peak was detected, then a mutation was called if the potential mutant peak was three times higher than any background peaks of the same color and size in separate analyses of WT DNA controls . The y-axis was adjusted to the appropriate scale to visualize various peaks. According to these criteria, mutant peaks were visually observed in dilutions as low as 6.25%, consistent with prior published results on two different SNaPshot screens , .
The current screen was designed to distinguish between BRAF mutations in cis or trans. If a two nucleotide BRAF mutation (e.g. 1798_1799GT>AA) is present in cis, the 1799 mutation will not be detected in the forward direction (Panel I), but will be detected using the 1799 reverse primer (Panel 2). If the two nucleotide BRAF mutation is present in trans, the 1799 mutation should be detected using both the forward and reverse primers (Table S2).
Direct Dideoxynucleotide-Based Sequencing
Assessment of Clinical Tumor Samples
The first consecutive 150 melanoma samples in the molecular diagnostics lab and associated clinical characteristics were analyzed after obtaining written informed consent from all patients on a Vanderbilt University Institutional Review Board (IRB) - approved protocol (MEL #09109). All clinical data was obtained and maintained according to HIPAA standards. All unique identifiers have been removed prior to publication. Tissue and tumor samples in this study were obtained from Vanderbilt University and were all used under the Vanderbilt University Institutional Review Board (IRB) - approved protocol IRB# 100178 entitled “VICC MEL 09109-Storage and Research Use of Human Biospecimens from Melanoma Patients and Clinical Testing for the Assignment of Therapy”.
Development of a SNaPshot Assay to Assess Multiple Somatic Point Mutations in Melanoma
The melanoma SNaPshot screen (v1.0) interrogates 43 somatic point mutations occurring at 20 different loci in 6 genes (Table 2). These mutations were originally selected in 2009 because they: 1) appear in melanomas, 2) could potentially be used to prioritize selection of existing or emerging targeted therapy, and 3) occur at mutational ‘hotspots’. The screen included 21 single-base extension SNaPshot assays, a portion of which were derived from a 58 mutation genotyping panel that is currently being used for clinical testing of FFPE-derived tumor samples . While other genes (e.g. CDKN2C, CDKN2A, MITF, BAP1, PTEN, ERBB4, and FGFR2, etc.) are mutated with some frequency in melanoma, no common recurring mutations in these genes are observed or the function of observed mutations are unknown; therefore these genes were not included in our screen. The selected mutations were incorporated into five multiplexed panels, each capable of detecting mutations at four (Panels I, II, III and V) or five (Panel IV) loci (Figure 1A).
Distinguishing Among Different Mutant BRAF Alleles at Amino Acid V600
According to the Catalogue of Somatic Mutations in Cancer (COSMIC), approximately 42% of melanomas harbor BRAF mutations, of which 36% are V600E and 3% are V600R/K/M/G/D. Although mutant-specific inhibitors like vemurafenib and GSK2118436 are predicted to be equally efficacious against a variety of V600 mutants , clinical trials with the approved BRAF inhibitor, Vemurafenib, have thus far have focused on enrolling only those with V600E mutant melanoma. Therefore, we designed our SNaPshot platform to distinguish among BRAF V600 mutants (Table 2). DNA from fresh-frozen or FFPE human melanoma tissue was used to show detection of multiple BRAF V600 mutations V600E/K/M/R/E (Figure S2).
Validation of the Melanoma SNaPshot Screen on Tumor Samples
We used the SNaPshot screen to interrogate a panel of 16 cell lines with known mutation status. Results were in 100% concordance with previously published data; no false positive or false negative cases were observed (Table S6 and Table S7). The lack of detection of mutations in known WT samples or samples with mutations in homologous genes (e.g. NRAS vs. KRAS) demonstrates specificity of the SNaPshot assay.
We next interrogated the mutation status of 24 fresh-frozen primary human melanomas using the SNaPshot screen (Figure S3, Table S6 and S8). Thirteen tumors (54%) had BRAF mutations including 10 V600Es, 2 V600Ks, and 1 V600M. Three samples (12.5%) had NRAS mutations: 2 Q61Rs and 1 G13A. One sample (4.2%) had a KIT L567P mutation. The remaining samples were WT for all of the mutations tested. As expected, BRAF, NRAS, and KIT mutations were mutually exclusive, and the distribution of mutations was consistent with that reported in the literature (Table 1) , , , . All mutations detected by the SNaPshot assay were verified by direct sequencing.
Finally to complete the development phase, the assay was used to evaluate DNA from 18 FFPE samples (Table S6 and S9). Seven samples (OHSU10) had known mutational status and were evaluated blinded. The other 11 samples (VICC) had previously unknown mutational status. Six samples harbored KIT mutations, including 2 W557Rs, a V559A, a V559R, a L576P, and a K642E. Seven samples contained BRAF mutations, including 4 V600Es, 2 V600Ks, and 1 V600R. One sample had an NRAS G13D mutation, and four samples were WT for all mutations tested. A tumor with a mutation in one gene did not harbor a mutation in any other gene. We achieved 100% concordance with known results.
Spectrum of Mutations in the First 150 Clinically Screened Melanomas
In July 2010, the SNaPshot assay was implemented in Vanderbilt's Clinical Laboratory Improvement Amendments-approved Molecular Diagnostics Laboratory as a component of routine care for patients with melanoma. Among the first 150 melanomas genotyped with informed consent (from 07/08/2010 to 12/13/2010), 90 (60%) had at least one mutation (Table 3, Figure 2; Table S10), including 57, 23, 6, 3, and 2 mutations in BRAF, NRAS, GNAQ, KIT, and CTTNB1, respectively. Among BRAF V600 mutations, 79%, 12%, 5%, and 4% were V600E, V600K, V600R, and V600M, respectively. Among the 57 melanomas with BRAF V600 mutations, 35 originated from intermittent sun damaged skin, 10 from chronic sun damaged skin, 2 from acral sites, 2 from mucosal sites, and 8 from unknown primary sites. None of the 7 uveal melanomas contained BRAF mutations. NRAS mutations were found in disease from all sites except the uvea. 2 of 3 KIT changes were found in melanomas from acral and mucosal primary sites. 5 of 6 GNAQ mutations were found in melanomas from uveal sites. No mutations were found in GNA11 in this small set of uveal melanomas. Only one tumor had two mutations (NRAS Q61L and CTNNB1 45P), while all other mutations were mutually exclusive.
Left: distribution of all mutations. Right: distribution of V600 mutations. See Table S10 for more details.
Clinical Trial enrollment of metastatic melanoma patients with detected mutations
Eighty-two patients had metastatic (M1) disease of which 54 had mutations. The prospective nature of this study provides a better understanding on the impact of the implementation of the test and its effect on patient treatment selection. Importantly, 23 of 54 patients (43%) with metastatic disease containing a detectable mutation were subsequently enrolled on genotype-driven trials (Table 4). This is not restricted only to patients with BRAF V600E. Patient with NRAS, KIT, and GNAQ mutations were also enrolled on specific trials directed at their tumor mutation status. These data demonstrate the utility of this approach to the treatment of melanoma and its ability to better match patients with more effective therapies.
Historically, therapeutic decisions for the treatment of malignant melanoma have been based upon stage and histology (ulceration and depth or volume of tumor), with the choice of systemic anti-cancer therapies guided mostly by empiric data leading to generally dismal outcomes , , , . However, basic and translational research has uncovered molecular abnormalities in melanomas that not only drive and sustain the cancer but can also serve as attractive therapeutic targets. For example, mutant-specific inhibitors induce a >50% response rate in patients with BRAF V600-mutant tumors , , , , , and nearly 50% of tumors harboring certain KIT mutations are highly sensitive to imatinib , , , , , .
Here, we present development, validation, and clinical implementation of a disease-specific SNaPshot-based screen ,  to assess melanoma tumor samples simultaneously for 43 somatic recurrent point mutations in 6 genes with relevance to targeted therapy. The SNaPshot assay can be performed rapidly with minimal amounts of starting FFPE-derived DNA material (20 nanograms) and high sensitivity , , detecting mutations in samples when mutant DNA comprises <10% of the total DNA (see supplemental material). By comparison, direct dideoxynucleotide sequencing, used currently in many clinical molecular labs, requires that mutant DNA comprise >20–25% of the total DNA for mutation detection.
In its present form, the SNaPshot assay can detect mutations that occur in the majority of melanomas. Of the first 150 tumor samples tested in the clinical lab, 90 (60%) had an identifiable mutation, which were 38% BRAF, 15% NRAS, 4% GNAQ, 2% KIT, and ∼1% CTNNB1. Now with additional prospective testing for over 15 months, the numbers remain similar in their breakdown. The frequency of these mutations and the anatomic sites of origin for the primary tumor were consistent with previously published results. Of the 90 mutations detected, 57 mutations were identified that involved the BRAF V600 position. The percent of BRAF mutations that were V600E (79%) (Figure 2) is also consistent with what has been reported in the literature , , . Since our assay was designed to distinguish among various mutations that affect V600, our data further show that allele-specific molecular diagnostic assays designed to detect only the most common V600E mutation will miss ∼20% of the total number of V600 mutations in melanoma.
Importantly, our results demonstrate the impact of tumor mutation assessment on directing melanoma patients to the most appropriate clinical trials with the therapeutic agents most likely to provide a benefit. Of the 54 patients with metastatic disease and a detected tumor mutation, 23 (43%) were subsequently enrolled onto genotype-driven trials based upon the results from their tumor mutational profiling. This is a dramatic advantage over a simple allele specific PCR for BRAF V600E. In addition to BRAF inhibitors, patients are directed to trials for KIT mutations, GNAQ/11 mutations in uveal melanoma, and even NRAS mutant melanoma. In addition, studies in patients who have disease progression following initial response to BRAF inhibitor therapy have revealed a secondary mutation in NRAS as the mechanism of resistance in nearly a quarter of this patient population . Therefore, mutational profiling of resistant disease after BRAF inhibitors may provide insight into selecting secondary therapy.
This prospective approach to mutation analysis has multiple advantages in melanoma. First and foremost, it allows prospective patient selection to the best available therapies or most relevant clinical trials based on tumor mutational status. Given the increasing number of clinically relevant genotypes in melanoma and the expanding repertoire of targeted inhibitors (Table S11), clinical characteristics or tumor histology are no longer the most effective way to select and prioritize treatment options for patients with this disease. A single comprehensive tumor genotyping panel in the form of the SNaPshot test will allow patients and physicians to understand and incorporate complex tumor-gene-mutation information into their treatment algorithms. Second, because the disease can quickly progress, determining tumor mutation status as part of routine care enables faster treatment prioritization . Third, prospective genotyping allows for the determination of an accurate portrait of the genomic profile of patients who are routinely referred to this institution as opposed to retrospective studies reported from large databases (e.g. COSMIC) or other institutions. Finally, prospective tumor profiling may allow us to make previously unknown associations between a tumor mutation and clinical features and/or clinical activity of new drug combinations. Of greatest importance, this assay has proven benefit in directing patients to the most appropriate therapies and clinical trials, which will ultimately lead to improved outcomes for patients with melanoma.
The melanoma screen can detect various BRAF V600 mutations. BRAF V600 status and the BRAF nucleotide(s) detected by SNaPshot are indicated to the left of the panels. The SNaPshot panels that detect the BRAF nucleotides are specified above the peaks. Forward extension primers are represented by ‘F’ and reverse extension primers are represented by ‘R’. Representative BRAF mutations are shown: A, WT BRAF V600, B, BRAF V600E, C, BRAF V600E, D, BRAF V600K, E, BRAF V600M, and F, BRAF V600R.
Validation of each SNaPshot peak. DNA from FFPE samples with known mutation status or spiking primers containing mutations of interest were used to validate the detection of each mutation in the screen. Validation of mutations was performed as described in the Materials and Methods section (A) Panel I, (B) Panel II, (C) Panel III, (D) Panel IV, and (E) Panel V.
Melanoma SNaPshot screen results confirmed by direct sequencing. DNA from frozen melanoma samples (see Table S8) was extracted and subject to the melanoma SNaPshot assay (left panels) and direct sequencing (right panels). The arrows indicate the position of the mutated peaks. Representative samples with mutations in BRAF, NRAS, and KIT are shown. All traces are available upon request.
Standard operating procedure: SNaPshot genotyping assay for melanoma.
PCR primers for SNaPshot screen.
Single-base extension primers for SNaPshot screen.
Spiking primers used for pan-positive control assay.
Pan-positive control mix preparation.
PCR primers used for direct sequencing.
Summary of mutations detected in cell lines, frozen tissues, and FFPE samples.
SNaPshot assay results for cell lines.
SNaPshot assay results for fresh-frozen primary human melanomas.
SNaPshot assay results for FFPE tissue.
SNaPshot assay results for the first 150 clinically screened melanomas.
Open genotype-driven clinical trials at Vanderbilt University.
We thank Dr. Meenhard Heryln (The Wistar Institute), Dr. David Solit (Memorial Sloan-Kettering Cancer Center), and Dr. Christopher Corless (Oregon Health and Science University) for providing tumor samples and DNA. We also thank Dr. Pam Lyle (Vanderbilt University School of Medicine) for assistance with tissue sampling and processing.
Conceived and designed the experiments: CML KBD LEF ZS DDS DJH DH EB CT MD YS TSD AR MCK CLVJ AJI JS WP. Performed the experiments: CML KBD LEF ZS DJH DH EB CT MD YS TSD. Analyzed the data: CML KBD LEF ZS DDS DJH DH EB CT MD YS TSD AR MCK CLVJ AJI JS WP. Contributed reagents/materials/analysis tools: CML KBD LEF ZS DDS DJH DH MD YS TSD AR MCK CLVJ AJI JS WP. Wrote the paper: CML KBD LEF JS WP.
- 1. Siegel R, Ward E, Brawley O, Jemal A (2011) Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin 61: 212–236.
- 2. Davies H, Bignell GR, Cox C, Stephens P, Edkins S, et al. (2002) Mutations of the BRAF gene in human cancer. Nature 417: 949–954.
- 3. Curtin JA, Busam K, Pinkel D, Bastian BC (2006) Somatic activation of KIT in distinct subtypes of melanoma. J Clin Oncol 24: 4340–4346.
- 4. Curtin JA, Fridlyand J, Kageshita T, Patel HN, Busam KJ, et al. (2005) Distinct sets of genetic alterations in melanoma. N Engl J Med 353: 2135–2147.
- 5. Fisher DE, Barnhill R, Hodi FS, Herlyn M, Merlino G, et al. (2010) Melanoma from bench to bedside: meeting report from the 6th international melanoma congress. Pigment Cell Melanoma Res 23: 14–26.
- 6. Van Raamsdonk CD, Bezrookove V, Green G, Bauer J, Gaugler L, et al. (2009) Frequent somatic mutations of GNAQ in uveal melanoma and blue naevi. Nature 457: 599–602.
- 7. Van Raamsdonk CD, Griewank KG, Crosby MB, Garrido MC, Vemula S, et al. (2010) Mutations in GNA11 in uveal melanoma. N Engl J Med 363: 2191–2199.
- 8. Delmas V, Beermann F, Martinozzi S, Carreira S, Ackermann J, et al. (2007) Beta-catenin induces immortalization of melanocytes by suppressing p16INK4a expression and cooperates with N-Ras in melanoma development. Genes Dev 21: 2923–2935.
- 9. Flaherty KT, Puzanov I, Kim KB, Ribas A, McArthur GA, et al. (2010) Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med 363: 809–819.
- 10. Sosman J, Kim K, Schuchter L, Gonzalez R, Pavlick A, et al. (2010) An open-label, multicenter Phase II study of continuous oral dosing of RG7204 (PLX4032) in previously treated patients with BRAF V600E mutation-positive metastatic melanoma. Pigment Cell Melanoma Res 23: Abs. 30.
- 11. Kefford R, Arkenau H, Brown MP, Millward M, Infante JR, et al. (2010) Phase I/II study of GSK2118436, a selective inhibitor of oncogenic mutant BRAF kinase, in patients with metastatic melanoma and other solid tumors. J Clin Oncol 28: abstr 8503.
- 12. Terheyden P, Houben R, Pajouh P, Thorns C, Zillikens D, et al. (2010) Response to imatinib mesylate depends on the presence of the V559A-mutated KIT oncogene. J Invest Dermatol 130: 314–316.
- 13. Handolias D, Hamilton AL, Salemi R, Tan A, Moodie K, et al. (2010) Clinical responses observed with imatinib or sorafenib in melanoma patients expressing mutations in KIT. Br J Cancer 102: 1219–1223.
- 14. Antonescu CR, Busam KJ, Francone TD, Wong GC, Guo T, et al. (2007) L576P KIT mutation in anal melanomas correlates with KIT protein expression and is sensitive to specific kinase inhibition. Int J Cancer 121: 257–264.
- 15. Lutzky J, Bauer J, Bastian BC (2008) Dose-dependent, complete response to imatinib of a metastatic mucosal melanoma with a K642E KIT mutation. Pigment Cell Melanoma Res 21: 492–493.
- 16. Hodi FS, Friedlander P, Corless CL, Heinrich MC, Mac Rae S, et al. (2008) Major response to imatinib mesylate in KIT-mutated melanoma. J Clin Oncol 26: 2046–2051.
- 17. Jiang X, Zhou J, Yuen NK, Corless CL, Heinrich MC, et al. (2008) Imatinib targeting of KIT-mutant oncoprotein in melanoma. Clin Cancer Res 14: 7726–7732.
- 18. Carvajal RD, Chapman PB, Wolchok JD, Cane L, Teitcher JB, et al. (2009) A phase II study of imatinib mesylate (IM) for patients with advanced melanma harboring somatic alterations of KIT. J Clin Oncol 27: abstr 9001.
- 19. Guo J, Si L, Kong Y, Flaherty KT, Xu X, et al. (2011) Phase II, Open-Label, Single-Arm Trial of Imatinib Mesylate in Patients With Metastatic Melanoma Harboring c-Kit Mutation or Amplification. J Clin Oncol.
- 20. Carvajal RD, Antonescu CR, Wolchok JD, Chapman PB, Roman RA, et al. (2011) KIT as a therapeutic target in metastatic melanoma. JAMA 305: 2327–2334.
- 21. Jaiswal BS, Janakiraman V, Kljavin NM, Eastham-Anderson J, Cupp JE, et al. (2009) Combined targeting of BRAF and CRAF or BRAF and PI3K effector pathways is required for efficacy in NRAS mutant tumors. PLoS One 4: e5717.
- 22. Chattopadhyay C, Ellerhorst JA, Ekmekcioglu S, Greene VR, Davies MA, et al. (2011) Association of activated c-Met with NRAS-mutated human melanomas: A possible avenue for targeting. Int J Cancer.
- 23. Dias-Santagata D, Akhavanfard S, David SS, Vernovsky K, Kuhlmann G, et al. (2010) Rapid targeted mutational analysis of human tumours: a clinical platform to guide personalized cancer medicine. EMBO Mol Med 2: 146–158.
- 24. Su Z, Dias-Santagata D, Duke M, Hutchinson K, Lin YL, et al. (2011) A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer. J Mol Diagn 13: 74–84.
- 25. Sequist LV, Heist RS, Shaw AT, Fidias P, Rosovsky R, et al. (2011) Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice. Ann Oncol 22: 2616–2624.
- 26. Spittle C, Ward MR, Nathanson KL, Gimotty PA, Rappaport E, et al. (2007) Application of a BRAF pyrosequencing assay for mutation detection and copy number analysis in malignant melanoma. J Mol Diagn 9: 464–471.
- 27. Xing F, Persaud Y, Pratilas CA, Taylor BS, Janakiraman M, et al. (2011) Concurrent loss of the PTEN and RB1 tumor suppressors attenuates RAF dependence in melanomas harboring (V600E)BRAF. Oncogene.
- 28. McGuinness C, Wesley UV (2008) Dipeptidyl peptidase IV (DPPIV), a candidate tumor suppressor gene in melanomas is silenced by promoter methylation. Front Biosci 13: 2435–2443.
- 29. Zuidervaart W, van der Velden PA, Hurks MH, van Nieuwpoort FA, Out-Luiting CJ, et al. (2003) Gene expression profiling identifies tumour markers potentially playing a role in uveal melanoma development. Br J Cancer 89: 1914–1919.
- 30. Levy C, Khaled M, Iliopoulos D, Janas MM, Schubert S, et al. (2010) Intronic miR-211 assumes the tumor suppressive function of its host gene in melanoma. Mol Cell 40: 841–849.
- 31. Tsao H, Goel V, Wu H, Yang G, Haluska FG (2004) Genetic interaction between NRAS and BRAF mutations and PTEN/MMAC1 inactivation in melanoma. J Invest Dermatol 122: 337–341.
- 32. Woodman SE, Trent JC, Stemke-Hale K, Lazar AJ, Pricl S, et al. (2009) Activity of dasatinib against L576P KIT mutant melanoma: molecular, cellular, and clinical correlates. Mol Cancer Ther 8: 2079–2085.
- 33. Yang H, Higgins B, Kolinsky K, Packman K, Go Z, et al. (2010) RG7204 (PLX4032), a selective BRAFV600E inhibitor, displays potent antitumor activity in preclinical melanoma models. Cancer Res 70: 5518–5527.
- 34. Maldonado JL, Fridlyand J, Patel H, Jain AN, Busam K, et al. (2003) Determinants of BRAF mutations in primary melanomas. J Natl Cancer Inst 95: 1878–1890.
- 35. Chapman PB, Einhorn LH, Meyers ML, Saxman S, Destro AN, et al. (1999) Phase III multicenter randomized trial of the Dartmouth regimen versus dacarbazine in patients with metastatic melanoma. J Clin Oncol 17: 2745–2751.
- 36. Atkins MB, Hsu J, Lee S, Cohen GI, Flaherty LE, et al. (2008) Phase III trial comparing concurrent biochemotherapy with cisplatin, vinblastine, dacarbazine, interleukin-2, and interferon alfa-2b with cisplatin, vinblastine, and dacarbazine alone in patients with metastatic malignant melanoma (E3695): a trial coordinated by the Eastern Cooperative Oncology Group. J Clin Oncol 26: 5748–5754.
- 37. Middleton MR, Grob JJ, Aaronson N, Fierlbeck G, Tilgen W, et al. (2000) Randomized phase III study of temozolomide versus dacarbazine in the treatment of patients with advanced metastatic malignant melanoma. J Clin Oncol 18: 158–166.
- 38. Falkson CI, Ibrahim J, Kirkwood JM, Coates AS, Atkins MB, et al. (1998) Phase III trial of dacarbazine versus dacarbazine with interferon alpha-2b versus dacarbazine with tamoxifen versus dacarbazine with interferon alpha-2b and tamoxifen in patients with metastatic malignant melanoma: an Eastern Cooperative Oncology Group study. J Clin Oncol 16: 1743–1751.
- 39. Chapman PB, Hauschild A, Robert C, Haanen JB, Ascierto P, et al. (2011) Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med 364: 2507–2516.
- 40. Sosman J, Kim KB, Schuchter L, Gonzalez R, Pavlick AC, et al. (2012) Long-term Survival in Vemurafenib-Treated BRAFV600-mutant Advanced Melanoma. New England Journal of Medicine.. In press.
- 41. Long GV, Menzies AM, Nagrial AM, Haydu LE, Hamilton AL, et al. (2011) Prognostic and Clinicopathologic Associations of Oncogenic BRAF in Metastatic Melanoma. J Clin Oncol 29: 1239–1246.
- 42. Nazarian R, Shi H, Wang Q, Kong X, Koya RC, et al. (2010) Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation. Nature 468: 973–977.
- 43. Andre F, Delaloge S, Soria JC (2011) Biology-Driven Phase II Trials: What Is the Optimal Model for Molecular Selection? J Clin Oncol 1236–1238.
- 44. King AJ, Patrick DR, Batorsky RS, Ho ML, Do HT, et al. (2006) Demonstration of a genetic therapeutic index for tumors expressing oncogenic BRAF by the kinase inhibitor SB-590885. Cancer Res 66: 11100–11105.
- 45. Tsai J, Lee JT, Wang W, Zhang J, Cho H, et al. (2008) Discovery of a selective inhibitor of oncogenic B-Raf kinase with potent antimelanoma activity. Proc Natl Acad Sci U S A 105: 3041–3046.
- 46. Rubinstein JC, Sznol M, Pavlick AC, Ariyan S, Cheng E, et al. (2010) Incidence of the V600K mutation among melanoma patients with BRAF mutations, and potential therapeutic response to the specific BRAF inhibitor PLX4032. J Transl Med 8: 67.
- 47. Infante JR, Fecher LA, Nallapareddy S, Gordon MS, Flaherty K, et al. (2010) Safety and efficacy results from the first-in-human study of the oral MEK 1/2 inhibitor GSK1120212. J Clin Oncol 28: abstr 2503.
- 48. Beadling C, Jacobson-Dunlop E, Hodi FS, Le C, Warrick A, et al. (2008) KIT gene mutations and copy number in melanoma subtypes. Clin Cancer Res 14: 6821–6828.
- 49. Poulikakos PI, Zhang C, Bollag G, Shokat KM, Rosen N (2010) RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF. Nature 464: 427–430.
- 50. Hatzivassiliou G, Song K, Yen I, Brandhuber BJ, Anderson DJ, et al. (2010) RAF inhibitors prime wild-type RAF to activate the MAPK pathway and enhance growth. Nature 464: 431–435.
- 51. Heidorn SJ, Milagre C, Whittaker S, Nourry A, Niculescu-Duvas I, et al. (2010) Kinase-dead BRAF and oncogenic RAS cooperate to drive tumor progression through CRAF. Cell 140: 209–221.
- 52. Omholt K, Platz A, Ringborg U, Hansson J (2001) Cytoplasmic and nuclear accumulation of beta-catenin is rarely caused by CTNNB1 exon 3 mutations in cutaneous malignant melanoma. Int J Cancer 92: 839–842.
- 53. Reifenberger J, Knobbe CB, Wolter M, Blaschke B, Schulte KW, et al. (2002) Molecular genetic analysis of malignant melanomas for aberrations of the WNT signaling pathway genes CTNNB1, APC, ICAT and BTRC. Int J Cancer 100: 549–556.
- 54. Demunter A, Libbrecht L, Degreef H, De Wolf-Peeters C, van den Oord JJ (2002) Loss of membranous expression of beta-catenin is associated with tumor progression in cutaneous melanoma and rarely caused by exon 3 mutations. Mod Pathol 15: 454–461.
- 55. Bauer J, Kilic E, Vaarwater J, Bastian BC, Garbe C, et al. (2009) Oncogenic GNAQ mutations are not correlated with disease-free survival in uveal melanoma. Br J Cancer 101: 813–815.
- 56. Dunn EF, Iida M, Myers RA, Campbell DA, Hintz KA, et al. (2010) Dasatinib sensitizes KRAS mutant colorectal tumors to cetuximab. Oncogene 30: 561–574.