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PDF file - 106KB, Schematic representation of the study design. 37 IMT tumor samples from 33 patients were collected under IRB approved protocols. ALK immunohistochemistry (IHC) was performed on each of the 37 cases as standard of clinical care. Targeted next-generation sequencing (NGS) using the FoundationOne was completed in each case. 22/26 ALK IHC+ and 11/11 ALK IHC- samples were evaluable. ALK kinase fusions were detected in 20/22 (91%) of the ALK IHC+ cases. In the ALK IHC- cases, 2/11 (18%) harbored ALK fusions, 2/11 (18%) harbored PDGFRβ fusions, and 4/11 (36%) harbored ROS1 fusions. Overall, therapeutically actionable kinase fusions were detected in 28/33 (85%) of cases.

XLSX - 13K, Table 1a. 182 genes across entire coding sequence Table 1b. 14 genes sequenced across selected introns.

Supplementary Figure 1. Somatic mutations detected in histiocytic neoplasms. Supplementary Figure 2. Frequencies of known activating kinase mutations in histiocytic neoplasms. Supplementary Figure 3. ARAF mutations and variants of unknown significance detected in BRAFV600E-wildtype, non-Langerhans Cell Histiocytic neoplasms. Supplementary Figure 4. Clinical and histological images of the non-Langerhans cell histiocytosis (non-LCH) lesions from index patients with kinase fusions identified by RNA-seq. Supplementary Figure 5. Gene expression analysis of histiocytic neoplasms by RNA-seq. Supplementary Table 1. Characteristics of patient samples with histiocytic neoplasms used in this study and genomic analysis utilized for each sample. Supplementary Table 2. Whole exome sequencing metrics. Supplementary Table 3. Somatic variants identified by whole exome and whole transcriptome sequencing and validated by droplet-digital PCR and/or custom-capture targeted next-generation sequencing with variant allele frequencies (VAFs). Supplementary Table 4. List of the top 1% of differentially expressed genes across histiocytic samples from mRNA sequencing. Supplementary Table 5. PCR primers with M13F2 and M13R2 tails (blue) for Sanger sequencing used in the targeted sequencing recurrence testing for MAP2K1 exons 2 and 3 and all coding regions of ARAF.

XLSX - 22K, Substitution, insertion and deletion mutations/large structural alterations.

Supplementary Methods, Supplementary References, Supplementary Table Legends, and Supplementary Figure Legends.

Supplementary Table S3: Genomic alterations across selected targets. See Figure 3 for additional details. Zoomable PDF.

PDF - 138K, Adjuvant systemic treatments.

Therapeutic antibodies blocking programmed death-1 and its ligand (PD-1/PD-L1) induce durable responses in a substantial fraction of melanoma patients. We sought to determine whether the number and/or type of mutations identified using a next-generation sequencing (NGS) panel available in the clinic was correlated with response to anti–PD-1 in melanoma. Using archival melanoma samples from anti–PD-1/PD-L1-treated patients, we performed hybrid capture–based NGS on 236–315 genes and T-cell receptor (TCR) sequencing on initial and validation cohorts from two centers. Patients who responded to anti–PD-1/PD-L1 had higher mutational loads in an initial cohort (median, 45.6 vs. 3.9 mutations/MB; P = 0.003) and a validation cohort (37.1 vs. 12.8 mutations/MB; P = 0.002) compared with nonresponders. Response rate, progression-free survival, and overall survival were superior in the high, compared with intermediate and low, mutation load groups. Melanomas with NF1 mutations harbored high mutational loads (median, 62.7 mutations/MB) and high response rates (74%), whereas BRAF/NRAS/NF1 wild-type melanomas had a lower mutational load. In these archival samples, TCR clonality did not predict response. Mutation numbers in the 315 genes in the NGS platform strongly correlated with those detected by whole-exome sequencing in The Cancer Genome Atlas samples, but was not associated with survival. In conclusion, mutational load, as determined by an NGS platform available in the clinic, effectively stratified patients by likelihood of response. This approach may provide a clinically feasible predictor of response to anti–PD-1/PD-L1. Cancer Immunol Res; 4(11); 959–67. ©2016 AACR.

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Supplementary Figure 1 shows RICTOR amplification/overexpression in the index patient by FISH and IHC. Supplementary Figure 2 shows analysis of TCGA database for RICTOR alteration in all types of cancers, including NSCLC. Supplementary figure 3A shows the gene alterations in each individual with RICTOR-amplified tumors. 3B shows the absolute and relative frequency of each gene alteration found in RICTOR-amplified lung cancer samples from FM NGS database.

Supplementary Tables S1 - S3. Supplementary Table S1. Summary of EGFR alterations in NSCLC identified by FoundationOne. Supplementary Table S2. Summary of genomic coordinates for the kinase fusions identified in this study. Supplementary Table S3. Results of MTT curve fitting from Prism.

Supplementary Fig. S3: Co-mutation across all PACC tumors.

Additional detailed methods.

Supplementary Table 1: Results for samples obtained (less than or equal to) 12 months prior to therapy (optimal) vs. those obtained >12 months from treatment or shortly after starting therapy (non-optimal). Supplementary Table 2: Cox proportional hazards model of OS adjusting for baseline variables. Supplementary Table 3: Cox proportional hazards model of PFS adjusting for baseline variables. Figure S1: (A) Performance of mutational load across a range of potential thresholds. (B) Receiver Operating Curve (ROC) for mutational loads cutoffs of 3.3 mutations/MB (low mutational load group) and 23.1 mutations/MB (high mutational load group). Figure S2: (A) Mutational load in tumors with cutaneous/unknown primaries in responders vs. non-responders. (B) Mutational load in tumors with non-cutaneous primaries (acral, mucosal, uveal) in responders vs. non-responders. (C) Gene amplifications and deletions in responders vs. non-responders. Figure S3: (A) LRP1B mutations/variants of unknown significance in responders vs. non-responders. (B) Total number of mutations among melanomas with and without LRP1B mutations. (C) Association between number of LRP1B mutations and total mutations in the melanoma TCGA. Figure S4: (A) T cell receptor (TCR) clonality in responders vs. non-responders. (B) T cell fraction in responders vs. non-responders. (C) TCR clonality in responders vs. non-responders in ideal samples, defined as those obtained within 4 months of anti-PD-1/PD-L1 treatment without other prior therapies. (D) T cell fraction in these ideal samples. Figure S5: Mutation load correlated with (A) T cell receptor (TCR) clonality and (B) T cell fraction.

Supplementary Figure Legends

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PDF file - 59KB, Schematic representation of the index patient's treatment history. A timeline detailing the index patient's diagnosis and subsequent systemic therapies is depicted. Time in months is shown below the arrow. The timeline starts at the patient's initial diagnosis.

Supplementary Figure 1. Structure of LOXO-101. Supplementary Figure 2. Schematic for TRK-SHC1 proximity ligation assay (PLA). Supplementary Figure 3. Validation of the TRK-SHC1 PLA. Supplementary Figure 4. TRK and ALK PLA in an ALK+ tumor sample. Supplementary Figure 5. Serum tumor marker response.

Supplementary Figures S1 - S10. Supplementary Figure S1. Additional information for Patient 1. Supplementary Figure S2. Additional information for Patient 2. Supplementary Figure S3. Additional information for Patient 3. Supplementary Figure S4. Additional clinical information for Patient 4. Supplementary Figure S5. Characterization of EGFR-RAD51 in NR6 cells. Supplementary Figure S6. Relative stability of EGFR-WT, -L858R, and -RAD51. Supplementary Figure S7. Structural model of EGFR-RAD51 filaments. Supplementary Figure S8. On-target inhibition of EGFR-RAD51 by EGFR TKI. Supplementary Figure S9. Cetuximab inhibits ligand-induced activation of downstream signaling pathways in cells expressing EGFR-RAD51. Supplementary Figure S10. cDNA sequence of EGFR-RAD51.

PDF file - 137KB, Summary of genomic coordinates for the kinase fusions identified in this study. The sample number is depicted in the far left column. For tumor samples in which a kinase fusion was identified, the genomic coordinates for of each of the fusion genes is indicated. There were no other recurrent alterations. *The FN1-ALK fusion was detected with RNA sequencing. #Sufficient material was available to verify these kinase fusions with RNA sequencing.

PDF file - 53KB, FoundationOne panel. This targeted next generation sequencing platform evaluates for 3769 exons of 236 cancer genes and 47 introns of 19 commonly rearranged genes, including 8 tyrosine kinases.

Immunotherapy induces durable responses in a subset of patients with cancer. High tumor mutational burden (TMB) may be a response biomarker for PD-1/PD-L1 blockade in tumors such as melanoma and non–small cell lung cancer (NSCLC). Our aim was to examine the relationship between TMB and outcome in diverse cancers treated with various immunotherapies. We reviewed data on 1,638 patients who had undergone comprehensive genomic profiling and had TMB assessment. Immunotherapy-treated patients (N = 151) were analyzed for response rate (RR), progression-free survival (PFS), and overall survival (OS). Higher TMB was independently associated with better outcome parameters (multivariable analysis). The RR for patients with high (≥20 mutations/mb) versus low to intermediate TMB was 22/38 (58%) versus 23/113 (20%; P = 0.0001); median PFS, 12.8 months vs. 3.3 months (P ≤ 0.0001); median OS, not reached versus 16.3 months (P = 0.0036). Results were similar when anti-PD-1/PD-L1 monotherapy was analyzed (N = 102 patients), with a linear correlation between higher TMB and favorable outcome parameters; the median TMB for responders versus nonresponders treated with anti-PD-1/PD-L1 monotherapy was 18.0 versus 5.0 mutations/mb (P < 0.0001). Interestingly, anti-CTLA4/anti-PD-1/PD-L1 combinations versus anti-PD-1/PD-L1 monotherapy was selected as a factor independent of TMB for predicting better RR (77% vs. 21%; P = 0.004) and PFS (P = 0.024). Higher TMB predicts favorable outcome to PD-1/PD-L1 blockade across diverse tumors. Benefit from dual checkpoint blockade did not show a similarly strong dependence on TMB. Mol Cancer Ther; 16(11); 2598–608. ©2017 AACR.

PDF - 36K, Samples tested.

Genomic alterations in lung adenocarcinoma displayed in Figure 2A.

Supplemental Figure 1: Consolidated Standards of Reporting Trials (CONSORT) diagram Supplemental Figure 2: Kaplan Meier curves for PFS and OS (for patients treated with anti-PD-1/PD-L1 monotherapy). Supplemental Figure 3: Kaplan Meier curves for patients with melanoma (Panels A and B) and NSCLC (Panels C and D) for treated with anti-PD-1/PD-L1 monotherapy. Supplemental Table 1: Number of patients who received more than one line of treatment with immunotherapy Supplemental Table 2: Patient Demographics by TMB low vs. Intermediate or High (N = 151) Supplemental Table 3: Median TMB for patients treated with immunotherapy agents: responders vs. non-responders Supplemental Table 4: Univariate and multivariate analysis of factors affecting outcome for all patients treated with immunotherapy agents (TMB low vs. intermediate or high) (N = 151) Supplemental Table 5: Univariate and multivariate analysis of factors affecting outcome for patients with all tumor types excluding melanoma and NSCLC treated with immunotherapy agents (TMB low vs. intermediate or high) (N = 63) Supplemental Table 6: Univariate and multivariate analysis of factors affecting outcome for patients with melanoma or NSCLC treated with immunotherapy agents (TMB low or intermediate vs. high) (N = 88) Supplemental Table 7: Univariate and multivariate analysis of factors affecting outcome for patients with melanoma or NSCLC treated with immunotherapy agents (TMB low vs. intermediate or high) (N = 88) Supplemental Table 8: All tumor types including melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low or intermediate vs. high (N = 102) Supplemental Table 9: All tumor types including melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low vs. intermediate or high (N = 102) Supplemental Table 10: CR/PR rate depending on TMB cutoff for patients treated with anti-PD-1/PD-L1 monotherapy (N = 102) Supplemental Table 11: PFS and OS depending on TMB cutoff for patients treated with anti-PD-1/PD-L1 monotherapy (N = 102) Supplemental Table 12: All tumor types excluding melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low or intermediate vs. high (N = 55) Supplemental Table 13: All tumor types excluding melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low vs. intermediate or high (N = 55) Supplemental Table 14: Patients with melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low or intermediate vs. high (N = 47) Supplemental Table 15: Patients with melanoma and NSCLC treated with anti-PD-1/PD-L1 monotherapy - TMB low vs. intermediate or high (N = 47) Supplemental Table 16: Median TMB for patients treated with anti-PD-1/PD-L1 monotherapy: responders vs. non-responders Supplemental Table 17: Total treatments for all tumors Supplemental Table 18: Review of published abstracts and manuscripts utilizing TMB as a predictor of response to treatment with anti-PD-1/PD-L1 agents Supplemental Table 19: Histology, TMB, treatment, are response characteristics for all patients. Supplemental Table 20: Melanoma patients treated with anti-PD-1/PD-L1 monotherapy - TMB low or intermediate vs. high (N = 11) Supplemental Table 21: Melanoma patients treated with anti-PD-1/PD-L1 monotherapy - TMB low vs. intermediate or high (N = 11) Supplemental Table 22: NSCLC patients treated with anti-PD-1/PD-L1 monotherapy - TMB low or intermediate vs. high (N = 36) Supplemental Table 23: NSCLC patients treated with anti-PD-1/PD-L1 monotherapy - TMB low vs. intermediate or high (N = 36)

Focal amplification and activating point mutation of the MET gene are well-characterized oncogenic drivers that confer susceptibility to targeted MET inhibitors. Recurrent somatic splice site alterations at MET exon 14 (METex14) that result in exon skipping and MET activation have been characterized, but their full diversity and prevalence across tumor types are unknown. Here, we report analysis of tumor genomic profiles from 38,028 patients to identify 221 cases with METex14 mutations (0.6%), including 126 distinct sequence variants. METex14 mutations are detected most frequently in lung adenocarcinoma (3%), but also frequently in other lung neoplasms (2.3%), brain glioma (0.4%), and tumors of unknown primary origin (0.4%). Further in vitro studies demonstrate sensitivity to MET inhibitors in cells harboring METex14 alterations. We also report three new patient cases with METex14 alterations in lung or histiocytic sarcoma tumors that showed durable response to two different MET-targeted therapies. The diversity of METex14 mutations indicates that diagnostic testing via comprehensive genomic profiling is necessary for detection in a clinical setting.Significance: Here we report the identification of diverse exon 14 splice site alterations in MET that result in constitutive activity of this receptor and oncogenic transformation in vitro. Patients whose tumors harbored these alterations derived meaningful clinical benefit from MET inhibitors. Collectively, these data support the role of METex14 alterations as drivers of tumorigenesis, and identify a unique subset of patients likely to derive benefit from MET inhibitors. Cancer Discov; 5(8); 850–9. ©2015 AACR.See related commentary by Ma, p. 802.See related article by Paik et al., p. 842.This article is highlighted in the In This Issue feature, p. 783

There is growing interest in delivering genomically informed cancer therapy. Our aim was to determine the concordance of genomic alterations between primary and recurrent breast cancer. Targeted next-generation sequencing was performed on formalin-fixed paraffin-embedded (FFPE) samples, profiling 3,320 exons of 182 cancer-related genes plus 37 introns from 14 genes often rearranged in cancer. Point mutations, indels, copy-number alterations (CNA), and select rearrangements were assessed in 74 tumors from 43 patients (36 primary and 38 recurrence/metastases). Alterations potentially targetable with established or investigational therapeutics were considered “actionable.” Alterations were detected in 55 genes (mean 3.95 alterations/sample, range 1–12), including mutations in PIK3CA, TP53, ARID1A, PTEN, AKT1, NF1, FBXW7, and FGFR3 and amplifications in MCL1, CCND1, FGFR1, MYC, IGF1R, MDM2, MDM4, AKT3, CDK4, and AKT2. In 33 matched primary and recurrent tumors, 97 of 112 (86.6%) somatic mutations were concordant. Of identified CNAs, 136 of 159 (85.5%) were concordant: 37 (23.3%) were concordant, but below the reporting threshold in one of the matched samples, and 23 (14.5%) discordant. There was an increased frequency of CDK4/MDM2 amplifications in recurrences, as well as gains and losses of other actionable alterations. Forty of 43 (93%) patients had actionable alterations that could inform targeted treatment options. In conclusion, deep genomic profiling of cancer-related genes reveals potentially actionable alterations in most patients with breast cancer. Overall there was high concordance between primary and recurrent tumors. Analysis of recurrent tumors before treatment may provide additional insights, as both gains and losses of targets are observed. Mol Cancer Ther; 13(5); 1382–9. ©2014 AACR.

Inflammatory myofibroblastic tumor (IMT) is a neoplasm that typically occurs in children. The genetic landscape of this tumor is incompletely understood and therapeutic options are limited. Although 50% of IMTs harbor anaplastic lymphoma kinase (ALK) rearrangements, no therapeutic targets have been identified in ALK-negative tumors. We report for the first time that IMTs harbor other actionable targets, including ROS1 and PDGFRβ fusions. We detail the case of an 8-year-old boy with treatment-refractory ALK-negative IMT. Molecular tumor profiling revealed a ROS1 fusion, and he had a dramatic response to the ROS1 inhibitor crizotinib. This case prompted assessment of a larger series of IMTs. Next-generation sequencing revealed that 85% of cases evaluated harbored kinase fusions involving ALK, ROS1, or PDGFRβ. Our study represents the most comprehensive genetic analysis of IMTs to date and also provides a rationale for routine molecular profiling of these tumors to detect therapeutically actionable kinase fusions.Significance: Our study describes the most comprehensive genomics-based evaluation of IMT to date. Because there is no “standard-of-care” therapy for IMT, the identification of actionable genomic alterations, in addition to ALK, is expected to redefine management strategies for patients with this disease. Cancer Discov; 4(8); 889–95. ©2014 AACR.See related commentary by Le and Doebele, p. 870This article is highlighted in the In This Issue feature, p. 855

PDF file - 87KB, Changes in the indicated laboratory parameters after 3 cycles of crizotinib. HgB: hemoglobin, Hct: hematocrit, MCV: mean corpuscular volume, ESR: erythrocyte sedimentation rate, LDH: lactate dehydrogenase.

Supplementary Table S1A: Genes analyzed for base substitutions, short insertions/deletions, and copy number alterations (DNA). Supplementary Table S1B: Genes analyzed for rearrangements (DNA).

PDF - 168K, Detailed analysis of matched primary and recurrent/metastatic breast tumors.

This file contains supplemental tables S1-S7. The data contained are as follows: (Table S1) Gene lists on the FoundationOne assay, (Table S2) Sample counts per disease, (Table S3) Foundation Medicine sample counts compared to TCGA sample counts, (Table S4) Genes with altered frequencies between local and metastatic disease, (Table S5) Merged MutationAssessor and PolyPhen-2 outputs, (Table S6) Enrichment of NOTCH1 alterations across diseases, (Table S7) Curated list of tumor suppressor genes on the FoundationOne assay.

Purpose: Micropapillary urothelial carcinoma (MPUC) is a rare and aggressive form of bladder cancer. We conducted genomic analyses [next-generation sequencing (NGS)] of MPUC and non-micropapillary urothelial bladder carcinomas (non-MPUC) to characterize the genomic landscape and identify targeted treatment options.Experimental Design: DNA was extracted from 40 μm of formalin-fixed paraffin-embedded sections from 15 MPUC and 64 non-MPUC tumors. Sequencing (NGS) was performed on hybridization-captured, adaptor ligation–based libraries to high coverage for 3,230 exons of 182 cancer-related genes plus 37 introns from 14 genes frequently rearranged in cancer. The results were evaluated for all classes of genomic alteration.Results: Mutations in the extracellular domain of ERBB2 were identified in 6 of 15 (40%) of MPUC: S310F (four cases), S310Y (one case), and R157W (one case). All six cases of MPUC with ERBB2 mutation were negative for ERBB2 amplification and Erbb2 overexpression. In contrast, 6 of 64 (9.4%) non-MPUC harbored an ERBB2 alteration, including base substitution (three cases), amplification (two cases), and gene fusion (one case), which is higher than the 2 of 159 (1.3%) protein-changing ERBB2 mutations reported for urinary tract cancer in COSMIC. The enrichment of ERBB2 alterations in MPUC compared with non-MPUC is significant both between this series (P < 0.0084) and for all types of urinary tract cancer in COSMIC (P < 0.001).Conclusions: NGS of MPUC revealed a high incidence of mutation in the extracellular domain of ERBB2, a gene for which there are five approved targeted therapies. NGS can identify genomic alteration, which inform treatment options for the majority of MPUC patients. Clin Cancer Res; 20(1); 68–75. ©2013 AACR.

Long tail distribution of the top 50 altered genes in pediatric sarcoma (S1); Long tail distribution of the top 50 altered genes in pediatric extracranial embryonal tumors (S2); Long tail distribution of the top 50 altered genes in pediatric brain tumors (S3); Long tail distribution of the top 50 altered genes in pediatric heme malignancies (S4); Long tail distribution of the top 50 altered genes in pediatric carcinomas (S5); Long tail distribution of the top 50 altered genes in pediatric gonadal tumors (S6); Known fusions identified in the pediatric cohort (S7); Tileplots showing the pattern of co-occurring alterations with novel MLL3 mutations (S8); Tileplot showing the pattern of co-occurring alterations with a novel PRSS1 mutation (S9); Tileplot showing the pattern of co-occurring alterations with novel DKC1 deletions (S10).

Gene lists for Version 1 of the FoundationOne Assay (S1); Gene lists for Version 2 of the FoundationOne Assay (S2); Gene lists for Version 3 of the FoundationOne Assay (S3); Gene lists for Version 4 of the FoundationOne Assay (S4); Gene lists for Version 5 of the FoundationOne Assay (S5); Distribution of samples across different FoundationOne assays (S6); Filtered variants of unknown significance (S7).

Expanded methods for the study.

This is the legend for the supplemental figure

Purpose:A phase II multi-institutional clinical trial was conducted to determine overall survival (OS) in patients with recurrent and/or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) treated with a combination of cetuximab and nivolumab.Patients and Methods:Patients with R/M HNSCC were treated with cetuximab 500 mg/m2 i.v. on day 14 as a lead-in followed by cetuximab 500 mg/m2 i.v. and nivolumab 240 mg i.v. on day 1 and day 15 of each 28-day cycle. Expression of p16 and programmed cell death-ligand 1 (PD-L1) in archived tumors were determined. Tumor-tissue–modified human papillomavirus (TTMV) DNA was quantified in plasma.Results:Ninety-five patients were enrolled, and 88 patients were evaluable for OS with a median follow-up of 15.9 months. Median OS in the 45 patients who had prior therapy for R/M HNSCC (cohort A) was 11.4 months, with a 1 year OS 50% [90% confidence interval (CI), 0.43–0.57]. Median OS in the 43 patients who had no prior therapy (cohort B) was 20.2 months, with a 1-year OS 66% (90% CI, 0.59–0.71). In the combined cohorts, the p16-negative immunostaining was associated with higher response rate (RR; P = 0.02) but did not impact survival while higher PD-L1 combined positive score was associated with higher RR (P = 0.03) and longer OS (log-rank P = 0.04). In the p16-positive patients, lower median (1,230 copies/mL) TTMV DNA counts were associated with higher RR (P = 0.01) and longer OS compared with higher median (log-rank P = 0.05).Conclusions:The combination of cetuximab and nivolumab is effective in patients with both previously treated and untreated R/M HNSCC and warrants further evaluation.

PDF file - 96K, Supplementary Figure S3. Signaling and inhibition of TRIM24-BRAF.

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This supplementary file contains additional Matierials and Methods detailing the VERSA process. Figure S1. Longitudinal analysis of capture efficiency of Epcam antibody. Figure S2. Multi-parametric analysis of gene expression, genomic profiling and AR protein analysis from captured CTCs. Table S1. Catalog numbers of primers used for quantitative qPCR. Table S2. Patients characteristics for patients 1-17. Table S3. Patient characteristics from patients 18-43

Mutant Allele Frequencies of the Mutated Genes in 22 cases of ILC

Supplementary Figure from Phase II Multi-institutional Clinical Trial Result of Concurrent Cetuximab and Nivolumab in Recurrent and/or Metastatic Head and Neck Squamous Cell Carcinoma

Genomic profiling is widely predicted to become a standard of care in clinical oncology, but more effective data sharing to accelerate progress in precision medicine will be required. Here, we describe cancer-associated genomic profiles from 18,004 unique adult cancers. The dataset was composed of 162 tumor subtypes including multiple rare and uncommon tumors. Comparison of alteration frequencies to The Cancer Genome Atlas identified some differences and suggested an enrichment of treatment-refractory samples in breast and lung cancer cohorts. To illustrate novelty within the dataset, we surveyed the genomic landscape of rare diseases and identified an increased frequency of NOTCH1 alterations in adenoid cystic carcinomas compared with previous studies. Analysis of tumor suppressor gene patterns revealed disease specificity for certain genes but broad inactivation of others. We identified multiple potentially druggable, novel and known kinase fusions in diseases beyond those in which they are currently recognized. Analysis of variants of unknown significance identified an enrichment of SMAD4 alterations in colon cancer and other rare alterations predicted to have functional impact. Analysis of established, clinically relevant alterations highlighted the spectrum of molecular changes for which testing is currently recommended, as well as opportunities for expansion of indications for use of approved targeted therapies. Overall, this dataset presents a new resource with which to investigate rare alterations and diseases, validate clinical relevance, and identify novel therapeutic targets. Cancer Res; 77(9); 2464–75. ©2017 AACR.

ALK genomic alterations revealed by comprehensive genomic profiling in clinical cases of colorectal carcinoma

Purpose: Recurrent “driver” mutations at specific loci in BRAF, NRAS, KIT, GNAQ, and GNA11 define clinically relevant molecular subsets of melanoma, but more than 30% are “pan-negative” for these recurrent mutations. We sought to identify additional potential drivers in “pan-negative” melanoma.Experimental Design: Using a targeted next-generation sequencing (NGS) assay (FoundationOne™) and targeted RNA sequencing, we identified a novel PAPSS1-BRAF fusion in a “pan-negative” melanoma. We then analyzed NGS data from 51 additional melanomas genotyped by FoundationOne™, as well as melanoma RNA, whole-genome and whole-exome sequencing data in The Cancer Genome Atlas (TCGA), to determine the potential frequency of BRAF fusions in melanoma. We characterized the signaling properties of confirmed molecular alterations by ectopic expression of engineered cDNAs in 293H cells.Results: Activation of the mitogen-activated protein kinase (MAPK) pathway in cells by ectopic expression of PAPSS1-BRAF was abrogated by mitogen-activated protein kinase kinase (MEK) inhibition but not by BRAF inhibition. NGS data analysis of 51 additional melanomas revealed a second BRAF fusion (TRIM24-BRAF) in a “pan-negative” sample; MAPK signaling induced by TRIM24-BRAF was also MEK inhibitor sensitive. Through mining TCGA skin cutaneous melanoma dataset, we further identified two potential BRAF fusions in another 49 “pan-negative” cases.Conclusions: BRAF fusions define a new molecular subset of melanoma, potentially comprising 4% to 8% of “pan-negative” cases. Their presence may explain an unexpected clinical response to MEK inhibitor therapy or assist in selecting patients for MEK-directed therapy. Clin Cancer Res; 19(24); 6696–702. ©2013 AACR.