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High-grade (grade 3) neuroendocrine neoplasms (G3 NENs) have poor survival outcomes. From a clinical standpoint, G3 NENs are usually grouped regardless of primary site and treated similarly. Little is known regarding the underlying genomics of these rare tumors, especially when compared across different primary sites. We performed whole transcriptome (n = 46), whole exome (n = 40), and gene copy number (n = 43) sequencing on G3 NEN formalin-fixed, paraffin-embedded samples from diverse organs (in total, 17 were lung, 16 were gastroenteropancreatic, and 13 other). G3 NENs despite arising from diverse primary sites did not have gene expression profiles that were easily segregated by organ of origin. Across all G3 NENs, TP53, APC, RB1, and CDKN2A were significantly mutated. The CDK4/6 cell cycling pathway was mutated in 95% of cases, with upregulation of oncogenes within this pathway. G3 NENs had high tumor mutation burden (mean 7.09 mutations/MB), with 20% having >10 mutations/MB. Two somatic copy number alterations were significantly associated with worse prognosis across tissue types: focal deletion 22q13.31 (HR, 7.82; P = 0.034) and arm amplification 19q (HR, 4.82; P = 0.032). This study is among the most diverse genomic study of high-grade neuroendocrine neoplasms. We uncovered genomic features previously unrecognized for this rapidly fatal and rare cancer type that could have potential prognostic and therapeutic implications.

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Summary of clinically informative (TARGET) genes.

Supplementary Methods, Figures S1 - S20. Figure S1. Branched evolution leads to tissue-sampling bias in primary tumor samples. Figure S2. Results of ABSOLUTE on samples from patient 418. Figure S3. 2D Bayesian clustering analysis of point-mutation CCF distributions in case 418. Figure S4. Bayesian clustering of private point-mutation CCF distributions in all sequenced tissue samples from case 418. Figure S5. Genetic alterations supporting phylogeny construction in case 418. Figure S6. Phylogenetic tree for case 418 Figure S7. Evolutionary relationships between primary tumor-samples and brain metastasis samples Figure S8. Detection of homozygous deletion in CDKN2A in the brain metastasis of case 24. Figure S9. Amplification of FGFR1 and MYC detected in the brain metastasis of case 331. Figure S10. Additional alterations under investigation for association with various targeted therapies. Figure S11. Power for paired-detection of somatic mutations. Figure S12. Amplification of CCNE1 detected in the brain metastasis of case 314. Figure S13. Amplification of EGFR detected in the brain metastasis of case 314. Figure S14. Amplification of MYC detected in the brain metastasis of case 308. Figure S15. Amplification of MYC detected in the brain metastasis of case 138. Figure S16. Amplifications of CDK6 and MET detected in the brain metastasis of case 138. Figure S17. Amplifications of CCNE1 and AKT2 detected in the brain metastasis of case 138. Figure S18. Amplification of EGFR detected in a regional lymph node from case 296. Figure S19. Power for somatic mutation detection in 86 matched primary-tumor and brain-metastasis samples. Figure S20. Calling of amplifications in primary-tumor samples and paired brain metastases.

Supplementary File 1. Power for detection of somatic point mutations in coding exons of TARGET genes. The description for the plots in Supplementary File 1 can be found in the Legend of Supplementary Figure S1.

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Supplementary File 3. Detailed plots of the data used for phylogenetic inference in each case. The description for the plots in Supplementary File 3 can be found in the Legend of Supplementary Figure S13-S17.

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Supplementary File 2. Detailed plots of SCNA calls in TARGET genes. The description for the plots in Supplementary File 2 can be found in the Legend of Supplementary Figure S3.

Background: Gastric cancer is a leading cause of cancer morbidity and mortality. Developing information systems which integrate clinical and genomic data may accelerate discoveries to improve cancer prevention, detection, and treatment. To support translational research in gastric cancer, we developed the Gastric Cancer Registry (GCR), a North American repository of clinical and cancer genomics data. Methods: Participants self-enrolled online. Entry criteria into the GCR included the following: (i) diagnosis of gastric cancer, (ii) history of gastric cancer in a first- or second-degree relative, or (iii) known germline mutation in the gene CDH1. Participants provided demographic and clinical information through a detailed survey. Some participants provided specimens of saliva and tumor samples. Tumor samples underwent exome sequencing, whole-genome sequencing, and transcriptome sequencing. Results: From 2011 to 2021, 567 individuals registered and returned the clinical questionnaire. For this cohort 65% had a personal history of gastric cancer, 36% reported a family history of gastric cancer, and 14% had a germline CDH1 mutation. 89 patients with gastric cancer provided tumor samples. For the initial study, 41 tumors were sequenced using next-generation sequencing. The data was analyzed for cancer mutations, copy-number variations, gene expression, microbiome, neoantigens, immune infiltrates, and other features. We developed a searchable, web-based interface (the GCR Genome Explorer) to enable researchers’ access to these datasets. Conclusions: The GCR is a unique, North American gastric cancer registry which integrates clinical and genomic annotation. Impact: Available for researchers through an open access, web-based explorer, the GCR Genome Explorer will accelerate collaborative gastric cancer research across the United States and world.

Supplementary Data from Relapse-Free Survival in Breast Cancer Patients Is Associated with a Gene Expression Signature Characteristic for Inflammatory Breast Cancer

Purpose: We hypothesize that a gene expression profile characteristic for inflammatory breast cancer (IBC), an aggressive form of breast cancer associated with rapid cancer dissemination and poor survival, might be related to tumor aggressiveness in non-IBC (nIBC).Experimental Design: RNA from 17 IBC samples and 40 nIBC samples was hybridized onto Affymetrix chips. A gene signature predictive of IBC was identified and applied onto 1,157 nIBC samples with survival data of 881 nIBC samples. Samples were classified as IBC-like or nIBC-like. The IBC signature classification was compared with the classifications according to other prognostically relevant gene signatures and clinicopathologic variables. In addition, relapse-free survival (RFS) was compared by the Kaplan-Meyer method.Results: Classification according to the IBC signature is significantly (P < 0.05) associated with the cell-of-origin subtypes, the wound healing response, the invasive gene signature, the genomic grade index, the fibroblastic neoplasm signature, and the 70-gene prognostic signature. Significant associations (P < 0.01) were found between the IBC signature and tumor grade, estrogen receptor status, ErbB2 status, and patient age at diagnosis. Patients with an IBC-like phenotype show a significantly shorter RFS interval (P < 0.05). Oncomine analysis identified cell motility as an important concept linked with the IBC signature.Conclusions: We show that nIBC carcinomas having an IBC-like phenotype have a reduced RFS interval. This suggests that IBC and nIBC show comparable phenotypic traits, for example augmented cell motility, with respect to aggressive tumor cell behavior. This observation lends credit to the use of IBC to study aggressive tumor cell behavior.

Donor-derived cell-free DNA (dd-cfDNA) fraction and quantity have both been shown to be associated with allograft rejection. The present study compared the relative predictive power of each of these variables to the combination of the two, and developed an algorithm incorporating both variables to detect active rejection in renal allograft biopsies.The first 426 sequential indication biopsy samples collected from the Trifecta study ( ClinicalTrials.gov # NCT04239703) with microarray-derived gene expression and dd-cfDNA results were included. After exclusions to simulate intended clinical use, 367 samples were analyzed. Biopsies were assessed using the molecular microscope diagnostic system and histology (Banff 2019). Logistic regression analysis examined whether combining dd-cfDNA fraction and quantity adds predictive value to either alone. The first 149 sequential samples were used to develop a two-threshold algorithm and the next 218 to validate the algorithm.In regression, the combination of dd-cfDNA fraction and quantity was found to be significantly more predictive than either variable alone ( P = 0.009 and P0.0001). In the test set, the area under the receiver operating characteristic curve of the two-variable system was 0.88, and performance of the two-threshold algorithm showed a sensitivity of 83.1% and specificity of 81.0% for molecular diagnoses and a sensitivity of 73.5% and specificity of 80.8% for histology diagnoses.This prospective, biopsy-matched, multisite dd-cfDNA study in kidney transplant patients found that the combination of dd-cfDNA fraction and quantity was more powerful than either dd-cfDNA fraction or quantity alone and validated a novel two-threshold algorithm incorporating both variables.

Precision cancer medicine aims to classify tumors by site, histology, and molecular testing to determine an individualized profile of cancer alterations. Viruses are a major contributor to oncogenesis, causing 12% to 20% of all human cancers. Several viruses are causal of specific types of cancer, promoting dysregulation of signaling pathways and resulting in carcinogenesis. In addition, integration of viral DNA into the host (human) genome is a hallmark of some viral species. Tests for the presence of viral infection used in the clinical setting most often use quantitative PCR or immunohistochemical staining. Both approaches have limitations and need to be interpreted/scored appropriately. In some cases, results are not binary (virus present/absent), and it is unclear what to do with a weakly or partially positive result. In addition, viral testing of cancers is performed separately from tests to detect human genomic alterations and can thus be time-consuming and use limited valuable specimen. We present a hybrid-capture and massively parallel sequencing approach to detect viral infection that is integrated with targeted genomic analysis to provide a more complete tumor profile from a single sample.

BackgroundGastric cancer (GC) is a leading cause of global cancer morbidity and mortality. Developing information systems which integrate clinical and genomic data may accelerate discoveries to improve cancer prevention, detection, and treatment. To support translational research in GC, we developed the GC Registry (GCR), a North American repository of clinical and cancer genomics data.MethodsGCR is a national registry with online self-enrollment. Entry criteria into the GCR included the following: (1) diagnosis of GC, (2) history of GC in a first-or second-degree family member or (3) known pathogenic or likely pathogenic germline mutation in the gene CDH1. Participants provided demographic and clinical information through a detailed (412-item) online survey. A subset of participants provided specimens of saliva and tumor samples. These tumor samples underwent exome sequencing, whole genome sequencing and transcriptome sequencing.ResultsFrom 2011-2021, 567 individuals registered for the GCR and returned the clinical questionnaire. For this cohort 65% had a personal history of GC, 36% reported a family history of GC and 14% had a germline CDH1 mutation. Eighty-nine GC patients provided tumor tissue samples. For the initial pilot study, 41 tumors were sequenced using next generation sequencing. The data was analyzed for cancer mutations, copy number variations, gene expression, microbiome presence, neoantigens, immune infiltrates, and other features. We developed a searchable, web-based interface (the GCR Genome Explorer) to enable researchers access to these datasets.ConclusionsThe GCR is a unique, North American GC registry which integrates both clinical and genomic annotation.ImpactAvailable for researchers through an open access, web-based explorer, we hope the GCR Genome Explorer accelerates collaborative GC research across the United States.

Improvements in survival rates with gonad-sparing protocols for childhood and adolescence cancer have increased the optimism of survivors to become parents after treatment. Findings in rodents indicate that chromosomal aberrations can be induced in male germ cells by genotoxic exposures and transmitted to offspring and future generations with effects on development, fertility and health. Thus, there is a need for effective technologies to identify human sperm carrying chromosomal aberrations to assess the germ-line risks, especially for cancer survivors who have received genotoxic therapies. The time-dependent changes in the burden of sperm carrying structural chromosomal aberrations were assessed for the first time in a cancer setting, using the AM8 sperm FISH protocol which simultaneously detects abnormalities in chromosomal structure and number in sperm. Nine Hodgkin lymphoma (HL) patients provided 20 semen samples before, during, and after NOVP therapy (Novantrone, Oncovin, Velban and Prednisone) and radiation therapy that produced scattered gonadal doses from

Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is a clinically and genetically heterogeneous disease that is further classified into transcriptionally defined activated B-cell (ABC) and germinal center B-cell (GCB) subtypes. We carried out a a comprehensive genetic analysis of 304 primary DLBCLs that identifies low-frequency alterations, captured recurrent mutations, somatic copy number alterations (SCNAs) and structural variants (SVs), and defined coordinate signatures in patients with available outcome data. We integrated these genetic drivers using consensus clustering and identified five robust DLBCL subsets, including a previously unrecognized group of low-risk ABC-DLBCLs of extrafollicular/marginal zone origin; two distinct subsets of GCB-DLBCLs with different outcomes and targetable alterations; and an ABC/GCB-independent group with biallelic inactivation of TP53, CDKN2A loss and associated genomic instability. The genetic features of the newly characterized subsets, their mutational signatures and the temporal ordering of identified alterations provide new insights into DLBCL pathogenesis. The coordinate genetic signatures also predict outcome independent of the clinical International Prognostic Index and suggest new combination treatment strategies. More broadly, our results provide a roadmap for an actionable DLBCL classification.

To determine the feasibility of liquid biopsy for monitoring of patients with advanced melanoma, cell-free DNA was extracted from plasma for 25 Stage III/IV patients, most (84.0%) having received previous therapy. DNA concentrations ranged from 0.6 to 390.0 ng/ml (median = 7.8 ng/ml) and were positively correlated with tumor burden as measured by imaging (Spearman rho = 0.5435, p = .0363). Using ultra-deep sequencing for a 61-gene panel, one or more mutations were detected in 12 of 25 samples (48.0%), and this proportion did not vary significantly for patients on or off therapy at the time of blood draw (52.9% and 37.5% respectively; p = .673). Sixteen mutations were detected in eight different genes, with the most frequent mutations detected in BRAF, NRAS, and KIT. Allele fractions ranged from 1.1% to 63.2% (median = 29.1%). Among patients with tissue next-generation sequencing, nine of 11 plasma mutations were also detected in matched tissue, for a concordance of 81.8%.

// Zeus A. Antonello 1,2 , Nancy Hsu 3 , Manoj Bhasin 4 , Giovanni Roti 5 , Mukta Joshi 4 , Paul Van Hummelen 6 , Emily Ye 1,2 , Agnes S. Lo 7 , S. Ananth Karumanchi 7 , Christine R. Bryke 3 and Carmelo Nucera 1,2 1 Laboratory of human thyroid cancers preclinical and translational research, Division of Experimental Pathology, Cancer Research Institute, Cancer Center, Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA 2 Department of Pathology, Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA 3 Cytogenetics Laboratory, Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA 4 Bioinformatic and Systems Biology Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA 5 Department of Medicine and Surgery, University of Parma, Parma, Italy 6 Center for Cancer Genome Discovery, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA 7 Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA Correspondence to: Carmelo Nucera, email: // Keywords : papillary thyroid cancer preclinical model, BRAF V600E , chromosome 5, combined therapy with vemurafenib and palbociclib, drug resistance Received : July 14, 2017 Accepted : August 15, 2017 Published : September 24, 2017 Abstract Purpose: Papillary thyroid carcinoma (PTC) is the most frequent endocrine tumor. BRAF V600E represents the PTC hallmark and is targeted with selective inhibitors (e.g. vemurafenib). Although there have been promising results in clinical trials using these inhibitors, most patients develop resistance and progress. Tumor clonal diversity is proposed as one mechanism underlying drug resistance. Here we have investigated mechanisms of primary and secondary resistance to vemurafenib in BRAF WT/V600E –positive PTC patient-derived cells with P16 -/- (CDKN2A -/- ). Experimental Design: Following treatment with vemurafenib, we expanded a sub-population of cells with primary resistance and characterized them genetically and cytogenetically. We have used exome sequencing, metaphase chromosome analysis, FISH and oligonucleotide SNP-microarray assays to assess clonal evolution of vemurafenib-resistant cells. Furthermore, we have validated our findings by networks and pathways analyses using PTC clinical samples. Results: Vemurafenib-resistant cells grow similarly to naive cells but are refractory to apoptosis upon treatment with vemurafenib, and accumulate in G2-M phase. We find that vemurafenib-resistant cells show amplification of chromosome 5 and de novo mutations in the RBM (RNA-binding motifs) genes family (i.e. RBMX, RBM10). RBMX knockdown in naive-cells contributes to tetraploidization, including expansion of clones with chromosome 5 aberrations (e.g. isochromosome 5p). RBMX elicits gene regulatory networks with chromosome 5q cancer-associated genes and pathways for G2-M and DNA damage-response checkpoint regulation in BRAF WT/V600E -PTC. Importantly, combined therapy with vemurafenib plus palbociclib (inhibitor of CDK4/6, mimicking P16 functions) synergistically induces stronger apoptosis than single agents in resistant-cells and in anaplastic thyroid tumor cells harboring the heterozygous BRAF WT/V600E mutation. Conclusions: Critically, our findings suggest for the first time that targeting BRAF WT/V600E and CDK4/6 represents a novel therapeutic strategy to treat vemurafenib-resistant or vemurafenib-naive radioiodine-refractory BRAF WT/V600E -PTC. This combined therapy could prevent selection and expansion of aggressive PTC cell sub-clones with intrinsic resistance, targeting tumor cells either with primary or secondary resistance to BRAF V600E inhibitor.

DNA copy number aberrations (CNA) were frequently observed in colorectal cancers (CRC). There is an urgent call for CNA-based biomarkers in clinics, in particular for Stage III CRC, if combined with imaging or pathologic evidence, promise more precise care at the timing. We conducted this Stage III specific biomarker discovery with a cohort of 134 CRCs, and with a newly developed high-efficiency CNA profiling protocol. Specifically, we developed the profiling protocol for tumor-normal matched tissue samples based on low-coverage clinical whole-genome sequencing (WGS). We demonstrated the protocol’s accuracy and robustness by a systematic benchmark with microarray, high-coverage whole-exome and -genome approaches, where the low-coverage WGS-derived CNA segments were highly accordant (PCC>0.95) with those derived from microarray, and they were substantially less variable if compared to exome-derived segments. A lasso-based model and multivariate cox regression analysis identified a chromosome 17p loss, containing the TP53 tumor suppressor gene, that was significantly associated with reduced survival (P=0.0139, HR=1.688, 95% CI = [1.112-2.562]), which was validated by an independent cohort of 187 Stage III CRCs. In summary, the new low-coverage WGS protocol has high sensitivity, high resolution and low cost and the identified 17p-loss is an effective poor prognosis marker for Stage III patients.

Precision cancer medicine aims to classify tumors by site, histology, and molecular testing to determine an individualized profile of cancer alterations. Viruses are a major contributor to oncogenesis, causing 12% to 20% of all human cancers. Several viruses are causal of specific types of cancer, promoting dysregulation of signaling pathways and resulting in carcinogenesis. In addition, integration of viral DNA into the host (human) genome is a hallmark of some viral species. Tests for the presence of viral infection used in the clinical setting most often use quantitative PCR or immunohistochemical staining. Both approaches have limitations and need to be interpreted/scored appropriately. In some cases, results are not binary (virus present/absent), and it is unclear what to do with a weakly or partially positive result. In addition, viral testing of cancers is performed separately from tests to detect human genomic alterations and can thus be time-consuming and use limited valuable specimen. We present a hybrid-capture and massively parallel sequencing approach to detect viral infection that is integrated with targeted genomic analysis to provide a more complete tumor profile from a single sample.

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently needed. Here, we generated and characterized a panel of large B-cell lymphoma (LBCL) patient-derived xenograft (PDX) models, including 8 that reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL and 1 that is a plasmablastic lymphoma. All LBCL PDX models were subjected to whole-transcriptome sequencing to classify cell of origin and consensus clustering classification (CCC) subtypes. Mutations and chromosomal rearrangements were evaluated by whole-exome sequencing with an extended bait set. Six of the 8 DLBCL models were activated B-cell (ABC)-type tumors that exhibited ABC-associated mutations such as MYD88, CD79B, CARD11, and PIM1. The remaining 2 DLBCL models were germinal B-cell type, with characteristic alterations of GNA13, CREBBP, and EZH2, and chromosomal translocations involving IgH and either BCL2 or MYC. Only 25% of the DLBCL PDX models harbored inactivating TP53 mutations, whereas 75% exhibited copy number alterations of TP53 or its upstream modifier, CDKN2A, consistent with the reported incidence and type of p53 pathway alterations in primary DLBCL. By CCC criteria, 6 of 8 DLBCL PDX models were B-cell receptor (BCR)-type tumors that exhibited selective surface immunoglobulin expression and sensitivity to entospletinib, a recently developed spleen tyrosine kinase inhibitor. In summary, we have established and characterized faithful PDX models of DLBCL and demonstrated their usefulness in functional analyses of proximal BCR pathway inhibition.

// Harshabad Singh 1, 2 , Yang Liu 2 , Xiuli Xiao 3 , Ling Lin 2 , Jaegil Kim 4 , Paul Van Hummelen 2 , Chin-Lee Wu 3 , Adam J. Bass 2 , Philip J. Saylor 1 1 Massachusetts General Hospital Cancer Center, Boston, MA, USA 2 Dana Farber Cancer Institute, Boston, MA, USA 3 Department of Pathology, Massachusetts General Hospital, Boston, MA, USA 4 Broad Institute, Cambridge, MA, USA Correspondence to: Adam J. Bass, email: adam_bass@dfci.harvard.edu Philip J. Saylor, email: psaylor@mgh.harvard.edu Keywords: urachal adenocarcinoma, NF1, whole exome sequencing Received: March 04, 2016 Accepted: March 18, 2016 Published: April 7, 2016 ABSTRACT Urachal adenocarcinoma is a rare bladder malignancy arising from the urachal remnant. Given its rarity and the lack of knowledge about its genetic characteristics, optimal management of this cancer is not well defined. Practice patterns vary and outcomes remain poor. In order to identify the genomic underpinnings of this malignancy, we performed whole exome sequencing using seven tumor/normal pairs of formalin fixed archival specimens. We identified recurrent evidence of MAP-kinase pathway activation as three patients had neurofibromin 1 ( NF1 ) mutations, with one of these patients also harboring an oncogenic KRAS G13D mutation. We also observed recurrent evidence of Wnt/β-catenin pathway activation as three patients had oncogenic mutations in APC or RNF43 . In addition, somatic copy number analysis revealed focal chromosome 12p amplifications in three samples, resembling findings from testicular germ cell tumors. We describe the genomic landscape of this malignancy in our institutional cohort and propose investigation of the therapeutic potential for MAP-K pathway inhibition in the subset of patients who show evidence of its activation.

Rapamycin analogs have reproducible but modest efficacy in endometrial cancer (EC). Identification of molecular biomarkers that predict benefit could guide clinical development.Fixed primary tissue and whole blood were collected prospectively from patients enrolled on GOG 248. DNA was isolated from macro-dissected tumors and blood; next-generation sequence analysis was performed on a panel of cancer related genes. Associations between clinical outcomes [response rate (RR) 20%; progression-free survival (PFS) median 4.9months] and mutations (PTEN, PIK3CA, PIK3R1, KRAS, CTNNB1, AKT1, TSC1, TSC2, NF1, FBXW7) were explored.Sequencing data was obtained from tumors of 55 of the 73 enrolled pts. Mutation rates were consistent with published reports: mutations in PTEN (45%), PIK3CA (29%), PIK3R1 (24%), K-RAS (16%), CTNNB1 (18%) were common and mutations in AKT1 (4%), TSC1 (2%), TSC2 (2%), NF1 (9%) and FBXW7 (4%) were less common. Increased PFS (HR 0.16; 95% CI 0.01-0.78) and RR (response difference 0.83; 95% CI 0.03-0.99) were noted for AKT1 mutation. An increase in PFS (HR 0.46; 95% CI 0.20-0.97) but not RR (response difference 0.00, 95% CI -0.34-0.34) was identified for CTNNB1 mutation. Both patients with TSC mutations had an objective response. There were no statistically significant associations between mutations in PIK3CA, PTEN, PIK3R1, or KRAS and PFS or RR.Mutations in AKT1, TSC1 and TSC2 are rare, but may predict clinical benefit from temsirolimus. CTNNB1 mutations were associated with longer PFS on temsirolimus.

Primary central nervous system lymphomas (PCNSLs) and primary testicular lymphomas (PTLs) are extranodal large B-cell lymphomas (LBCLs) with inferior responses to current empiric treatment regimens. To identify targetable genetic features of PCNSL and PTL, we characterized their recurrent somatic mutations, chromosomal rearrangements, copy number alterations (CNAs), and associated driver genes, and compared these comprehensive genetic signatures to those of diffuse LBCL and primary mediastinal large B-cell lymphoma (PMBL). These studies identify unique combinations of genetic alterations in discrete LBCL subtypes and subtype-selective bases for targeted therapy. PCNSLs and PTLs frequently exhibit genomic instability, and near-uniform, often biallelic, CDKN2A loss with rare TP53 mutations. PCNSLs and PTLs also use multiple genetic mechanisms to target key genes and pathways and exhibit near-uniform oncogenic Toll-like receptor signaling as a result of MYD88 mutation and/or NFKBIZ amplification, frequent concurrent B-cell receptor pathway activation, and deregulation of BCL6. Of great interest, PCNSLs and PTLs also have frequent 9p24.1/PD-L1/PD-L2 CNAs and additional translocations of these loci, structural bases of immune evasion that are shared with PMBL.

432 Background: Gastric cancer (GC) is the fifth leading cancer diagnosis and third frequent cause of cancer death globally. GC results from a cascade of molecular and genetic changes owing to environmental and genetic factors. While there are known risks to GC, more is to be learned about its development so to establish effective screens for early stages of cancer. Methods: The Gastric Cancer Registry (GCR) was built to investigate GC and discover informative genomic biomarkers. The GCR comprises medical, family, and social history and genomics data from patients with GC, a family history of GC, and/or a known mutation in the gene CDH1. Samples of saliva and gastric tumors are collected when available. The GCR allows us to leverage several genome sequencing datasets to construct a complete molecular landscape of GC. Early analysis of GC tissue includes whole exome sequencing (WES) to identify mutations, whole genome sequencing (WGS) for copy number variation, and RNA sequencing (RNAseq) for expression profiling. Results are used to inform of clonal neoantigens, microbiome, and immune cell populations. Saliva will be analyzed with linked reads sequencing to unearth germline mutations not picked up in standard clinical gene panels. Results: Datasets from 455 patients and samples from 159 patients have been collected. In a pilot study, we pinpointed specific mutations using WES and revealed extensive changes in genome copy number involving clinically actionable genes through WGS. Most tumors had a high degree of genomic instability and exhibited candidate markers for treatment decisions and response. Additionally, we found that RNAseq revealed tumor subgroups through gene expression signatures. Conclusions: The GCR is an informative resource enabling the identification of biomarkers for GC. With the GCR we are integrating expertise in translational cancer genomics with molecular biology, statistics, and bioinformatics to build a platform for discovery and the development of tools that will ultimately improve the detection, treatment, and prevention of GC.

624 Background: Grade 3 neuroendocrine neoplasms (G3 NENs), if poorly differentiated, have a median survival of only 10-19 months. Little is known regarding their underlying genomics. Methods: We applied multiomics analysis to 46 cases of G3 NEN that included copy number analysis, whole exome, and transcriptomic sequencing. Results: Of the 46 unique cases, 17 were lung, 16 gastroenteropancreatic (GEP), 13 other; 5 well-differentiated, 39 poorly differentiated and 2 mixed. Using a multivariate Cox model, we found histology characteristics (including differentiation, Ki67 and mitotic index) did not correlate with changes in overall survival (OS). The clinical variables that did correlate with OS included: number of lines of treatment (hazard ratio for death [HR], 0.72; p < 0.05), GEP primary site (HR, 5.36; p < 0.005), and non-resected primary tumor (HR, 14.52; p < 0.001). Two copy number changes were associated with worse prognosis: focal deletion 22q13 (HR, 10.23; p < 0.005), and arm amplification 19q (HR, 7.09; p < 0.01). The median OS of the top quartile compared to the rest for 22q13 deletion carriers was 9.9 months vs. 24 months, and for 19q amplification carriers was 8.7 months vs. 36.7 months. We estimated a median tumor mutation burden (TMB) of 3.7 mutations/Mb, with 20% (8/40) of patients showing high TMB ( > 10 mutations/Mb). The top five mutated genes were USH2A, RB1, APC, TP53, and MUC16. We also observed high transcriptomic similarity across all NENs regardless of their site of origin. Conclusions: We identified two copy number changes that can serve as predictive biomarkers in G3 NENs, as they confer an increased risk of death by as high as 10x to the carriers. Further, G3 NENs are characterized by a distinct group of somatic mutations, and a significant number have high tumor mutation burden. Lastly, G3 NENs across different organs were relatively homogeneous in expression profile.

BRAF(V600E) mutation exerts an essential oncogenic function in many tumors, including papillary thyroid carcinoma (PTC). Although BRAF(V600E) inhibitors are available, lack of response has been frequently observed. To study the mechanism underlying intrinsic resistance to the mutant BRAF(V600E) selective inhibitor vemurafenib, we established short-term primary cell cultures of human metastatic/recurrent BRAF(V600E)-PTC, intrathyroidal BRAF(V600E)-PTC, and normal thyroid (NT). We also generated an early intervention model of human BRAF(V600E)-PTC orthotopic mouse. We find that metastatic BRAF(V600E)-PTC cells elicit paracrine-signaling which trigger migration of pericytes, blood endothelial cells and lymphatic endothelial cells as compared to BRAF(WT)-PTC cells, and show a higher rate of invasion. We further show that vemurafenib therapy significantly suppresses these aberrant functions in non-metastatic BRAF(V600E)-PTC cells but lesser in metastatic BRAF(V600E)-PTC cells as compared to vehicle treatment. These results concur with similar folds of down-regulation of tumor microenvironment-associated pro-metastatic molecules, with no effects in BRAF(WT)-PTC and NT cells. Our early intervention preclinical trial shows that vemurafenib delays tumor growth in the orthotopic BRAF(WT/V600E)-PTC mice. Importantly, we identify high copy number gain of MCL1 (chromosome 1q) and loss of CDKN2A (P16, chromosome 9p) in metastatic BRAF(V600E)-PTC cells which are associated with resistance to vemurafenib treatment. Critically, we demonstrate that combined vemurafenib therapy with BCL2/MCL1 inhibitor increases metastatic BRAF(V600E)-PTC cell death and ameliorates response to vemurafenib treatment as compared to single agent treatment. In conclusion, short-term PTC and NT cultures offer a predictive model for evaluating therapeutic response in patients with PTC. Our PTC pre-clinical model suggests that combined targeted therapy might be an important therapeutic strategy for metastatic and refractory BRAF(V600E)-positive PTC.

Langerhans cell histiocytosis (LCH) is now understood to be a neoplastic disease in which over 50% of cases have somatic activating mutations of BRAF. However, the extracellular signal-related (ERK) pathway is activated in all cases including those with wild type BRAF alleles. Here, we applied a targeted massively parallel sequencing panel to 30 LCH samples to test for the presence of additional genetic alterations that might cause ERK pathway activation. In 20 BRAF wild type samples, we found 3 somatic mutations in MAP2K1 (MEK1) including C121S and C121S/G128D in the kinase domain, and 56_61QKQKVG>R, an in-frame deletion in the N-terminal regulatory domain. All three variant proteins constitutively phosphorylated ERK in in vitro kinase assays. The C121S/G128D and 56_61QKQKVG>R variants were resistant to the mitogen-activated protein kinase kinase (MEK) inhibitor trametinib in vitro. Within the entire sample set, we found 3 specimens with mutations in MAP3K1 (MEKK1), including two truncation mutants, T779fs and T1481fs; T1481fs encoded an unstable and nonfunctional protein when expressed in vitro. T779fs was present in a specimen carrying BRAF V600E. The third variant was a single nucleotide substitution, E1286V, which was fully functional and is likely a germline polymorphism. These results indicate that LCH cells can harbor additional genetic alterations in the RAS-RAF-MEK pathway which, in the case of MAP2K1, may be responsible for ERK activation in a wild type BRAF setting. The resistance of some of these variants to trametinib may also have clinical implications for the combined use of RAF and MEK inhibitors in LCH. © 2015 Wiley Periodicals, Inc.

Although the rates of cervical squamous cell carcinoma have been declining, the rates of cervical adenocarcinoma are increasing in some countries. Outcomes for advanced cervical adenocarcinoma remain poor. Precision mapping of genetic alterations in cervical adenocarcinoma may enable better selection of therapies and deliver improved outcomes when combined with new sequencing diagnostics. We present whole-exome sequencing results from 15 cervical adenocarcinomas and paired normal samples from Hong Kong Chinese women. These data revealed a heterogeneous mutation spectrum and identified several frequently altered genes including FAT1, ARID1A, ERBB2 and PIK3CA. Exome sequencing identified human papillomavirus (HPV) sequences in 13 tumors in which the HPV genome might have integrated into and hence disrupted the functions of certain exons, raising the possibility that HPV integration can alter pathways other than p53 and pRb. Together, these provisionary data suggest the potential for individualized therapies for cervical adenocarcinoma based on genomic information.

High-grade meningiomas frequently recur and are associated with high rates of morbidity and mortality. To determine the factors that promote the development and evolution of these tumors, we analyzed the genomes of 134 high-grade meningiomas and compared this information with data from 587 previously published meningiomas. High-grade meningiomas had a higher mutation burden than low-grade meningiomas but did not harbor any statistically significant mutated genes aside from

Papillary thyroid carcinoma (PTC) is the most frequent endocrine tumor. BRAFFollowing treatment with vemurafenib, we expanded a sub-population of cells with primary resistance and characterized them genetically and cytogenetically. We have used exome sequencing, metaphase chromosome analysis, FISH and oligonucleotide SNP-microarray assays to assess clonal evolution of vemurafenib-resistant cells. Furthermore, we have validated our findings by networks and pathways analyses using PTC clinical samples.Vemurafenib-resistant cells grow similarly to naïve cells but are refractory to apoptosis upon treatment with vemurafenib, and accumulate in G2-M phase. We find that vemurafenib-resistant cells show amplification of chromosome 5 andCritically, our findings suggest for the first time that targeting BRAF

High-grade meningiomas frequently recur and are associated with high rates of morbidity and mortality. To determine the factors that promote the development and evolution of these tumors, we analyzed the genomes of 134 high-grade meningiomas and compared this information with data from 595 previously published meningiomas. High-grade meningiomas had a higher mutation burden than low-grade meningiomas but did not harbor any significantly mutated genes aside from NF2. High-grade meningiomas also possessed significantly elevated rates of chromosomal gains and losses, especially among tumors with monosomy 22. Meningiomas previously treated with adjuvant radiation had significantly more copy number alterations than radiation-induced or radiation-naïve meningiomas. Across serial recurrences, genomic disruption preceded the emergence of nearly all mutations, remained largely uniform across time, and when present in low-grade meningiomas correlated with subsequent progression to a higher grade. In contrast to the largely stable copy number alterations, mutations were strikingly heterogeneous across tumor recurrences, likely due to extensive geographic heterogeneity in the primary tumor. While high-grade meningiomas harbored significantly fewer overtly targetable alterations than low-grade meningiomas, they contained numerous mutations that are predicted to be neoantigens, suggesting that immunologic targeting may be of therapeutic value., Brain tumors: uncovering genomic disruption in meningiomas Meningiomas, which arise from the tissue surrounding the brain and spinal cord, are the most common primary brain tumor in adults. The majority of these are slow-growing and amenable to surgical resection, if treatment is indicated. However, a subset of aggressive meningiomas are considered high-grade, producing significantly worse mortality. In a first study of its kind, Drs. Wenya Linda Bi, Ian Dunn, Sandro Santagata, Rameen Beroukhim, and colleagues at Harvard Medical School sequenced the genomes of 134 high-grade meningiomas and compared their makeup with lower-grade meningiomas. They found that aggressive tumors were more likely to harbor mutations in the NF2 gene and exhibit widespread genomic disruption. They also harbored an elevated rate of predicted immunogenic mutations, with implications for the use of immuno-modulatory therapies.