When defense turns into attack

COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk) is the world's largest and most comprehensive online resource for exploring the impact of somatic mutations in human cancer. Now running for over 10 years, the 67th release (Oct 2013) describes 1592109 mutations in 947213 tumour samples across 25606 genes. This information is curated manually from the scientific literature, and automatically from genome resequencing consortium data portals. Full curation of the scientific literature provides in-depth understanding of the impact that each gene has in human cancer, and this has been achieved for 127 point-mutated cancer genes, and 185 fusion gene pairs. Curated genes are selected from the Cancer Gene Census (http://cancer.sanger.ac.uk/census), a listing of all genes with substantial evidence implicating them in cancer promotion, currently numbering 513 and updated frequently. The mutations discovered in the re-sequencing of over 8000 tumour genomes are now present in COSMIC (viewable in isolation from the genic curations, http://cancer.sanger.ac.uk/wgs). In addition, the Sanger has now fully exome sequenced 1015 common cancer cell lines, identifying 1146874 coding mutations annotated for functional significance, and this is available exclusively in COSMIC at (http://cancer.sanger.ac.uk/cell_lines). While COSMIC has focused on point mutations and gene fusions, many other mutation mechanisms cause oncogenesis and these are now being integrated. The 67th COSMIC release includes copy number mutations integrated into the database and major web page views. To allow easy graphical examination of this data, copy number information was reduced to ‘gain’ and ‘loss’ annotations for inclusion in histograms and tables, with much more precise detail available with a further click. Copy number data is available in detail for every gene in COSMIC, and also for every tissue. Exploring cancer via COSMIC’s Cancer Browser (http://cancer.sanger.ac.uk/cosmic/browse/tissue), results not just in a plot of the most mutated genes, but now also a circular genome plot summarizing the copy number gains and losses across all the samples from that tumour type, all explorable in more detail via clicks on the pictures. As the genomic data increases in COSMIC, it is becoming more important to qualitatively annotate the information, indicating which is more important or significant to oncogenesis. We are now building systems to better highlight known or putative functional mutations, improving the signal-to-noise ratio of cancer genome resequencing. Citation Format: C Boutselakis, S A. Forbes, P Gunasekaran, M Jia, D Beare, N Bindal, C Y. Kok, K Leung, D Minjie, R Shepherd, S Bamford, S Ward, C Cole, J W. Teague, M Stratton, P Campbell, U McDermott. COSMIC: Enhancing the world's knowledge of somatic mutations in human cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5326. doi:10.1158/1538-7445.AM2014-5326

Objective: We have replaced single gene PCR-based methods for the detection of BRAF, KRAS and EGFR variants in routine clinical practice with next generation sequencing assays for the Ion Torrent AmpliSeq Cancer Hotspot Panel v2 (50 genes) and the Illumina TruSeq Amplicon Cancer panel (48 genes). Implementation of these panels requires constant optimization of technical and analytical procedures as reagents and software continue to be developed. In this study we describe somatic mutation findings from our clinical laboratory service. Methods: DNA was extracted from 90 formalin fixed, paraffin embedded tissue specimens that included 50 lung cancer, 24 colon cancer and 16 other cancers. Barcoded libraries were prepared from up to 10ng of extracted DNA and multiplexed on single 318 chips. Data analysis was performed using Golden Helix SVS for the Ion Torrent panel and Variant Studio for the Illumina panel. Variants that remained after the analysis pipeline were individually interrogated using the Integrative Genomics Viewer (IGV). Results: Of the 90 cancer cases sequenced, each panel returned on average 20 variants. Of these, there was 100% concordance between the two panels with respect to the clinically actionable mutations identified. Conclusions: We have implemented next generation sequencing technologies for the detection of somatic mutations in human cancers. Two platforms, the Ion Torrent PGM and the Illumina MiSeq, have been used for the routine analysis of FFPE cancer tissues in a clinical setting with actionable and non-actionable variants reported and archived. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):B179. Citation Format: Jason D. Peterson, Francine de Abreu, Torrey L. Gallagher, Paul R. Burchard, Christopher I. Amos, Wendy A. Wells, J. Marc Pipas, Marc S. Ernstoff, Camilo E. Fadul, James R. Rigas, Gregory J. Tsongalis. Targeted next generation sequencing for somatic mutations in human cancer. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr B179.

COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://www.sanger.ac.uk/cosmic), is one of the most comprehensive web systems describing the impact of somatic mutations in human cancer. The information is sourced directly from the published scientific literature and the Cancer Genome Project's high throughput sequencing laboratories at the Wellcome Trust Sanger Institute UK (CGP), allowing a high data quality to be maintained. The v44 release (Nov. 2009) contained the curation of 8336 papers covering 71 known cancer genes by point mutation and 30 by gene fusion. The mutation data for all these genes is being maintained up-to-date and new genes are regularly added to this list. Additionally, 4871 genes and 2764 samples have been scrutinized by the CGP laboratories. As cancer genetics moves toward the analysis of whole genomes, COSMIC is being updated to handle and display these data and increase the functionality of the website. With the rapid development of sequencing technologies, the quantity of data that can be put into COSMIC is increasing fast. We have extended our curation process to include large exome-wide candidate gene screens, recently including the first such screen from Sjoblom et al (2006), and the first TCGA screen (2008) with other large scale screening datasets being curated. In addition, whole-genome screens are becoming available with many non-coding variations. From the CGP laboratories, we already have two low-coverage genome rearrangement screens in COSMIC and this will rapidly expand, beginning with the imminent release of rearrangement scans in a set of 24 breast tumours. High-coverage genome analyses are also beginning to become available; with full genome coverage, the majority of somatic mutations in a tumour can be identified and COSMIC is being prepared to receive and display this data. With the inclusion of these new data, the COSMIC website has evolved to allow more easy access to required data. New specialization filters are in place to provide methods to search for subsets of COSMIC data in the usual user-friendly web pages. More extensive investigations can be performed using the new COSMIC Biomart, an industry-standard data mining system allowing access through web pages or programmatic interfaces. As the inclusion of new genomic data accelerates and the systems through which it can be accessed evolve, COSMIC is well placed to remain a central resource in human cancer genetics. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 93.

COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk/cosmic) is a continual effort to integrate all available information on somatic mutations and other molecular alterations causing every form of human cancer. Being the world’s largest and most comprehensive database of somatic mutations in human cancer, it also provides web-based tools for exploration and interpretation of collected data. The content of the database is primarily obtained from the scientific literature by the team of experienced post-doctoral curators and combined with information from online sources, including the TCGA and ICGC. During thorough & exhaustive manual curation, all the available information about mutations and tumor samples (e.g. disease type, demographic data, treatments) are collected, standardized and integrated to allow for both creation of wide virtual cohorts and large-scale studies, as well as precise analysis at the level of a single sample, gene or mutation. The 87th release of COSMIC (Nov 2018) encompasses 5,992,260 coding mutations and 19,574 gene fusions, curated from 1,403,267 cancer samples, including 35,490 whole cancer exomes/genomes, primarily hand-curated data from 26,494 scientific publications. Additionally, COSMIC describes 1,179,545 Copy Number Variants, 9,147,833 gene expression variants, and 7,879,142 differentially methylated CPGs. In addition to this broad database, COSMIC includes a range of specialized projects highlighting specific aspects of cancer in order to emphasize events with a higher impact in disease etiology. This includes the Cancer Gene Census (http://cancer.sanger.ac.uk/census), which defines and describes genes (currently 719) and their dysfunctions driving oncogenesis, and characterizes their impact on hallmarks of cancer. COSMIC3D (http://cancer.sanger.ac.uk/cosmic3d) provides an interactive view of cancer mutations in the context of 3D protein structures, and predicts potential drug-binding sites. Significantly updated 4 times a year, COSMIC is available free-of-charge for academic and non-profit users via COSMIC webpage (http://cancer.sanger.ac.uk/cosmic) or to download through COSMIC downloads (http://cancer.sanger.ac.uk/cosmic/download). Citation Format: Simon Andrew Forbes, david beare, charalampos boutselakis, sally bamford, kate noble, claire rye, john tate, chai yin kok, charlie hathaway, laura ponting, christopher ramshaw, raymund stefancsik, samantha thompson, bhavana harsha, nidhi bindal, shicai wang, steven jupe, helen speedy, celestino creatore, peter fish, sari ward, charlotte cole, elisabeth dawson, zbyslaw sondka. COSMIC: Describing the world’s knowledge of somatic mutations in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 906.

Endometrial cancers are the most frequently diagnosed gynecological malignancy and were expected to be the seventh leading cause of cancer death among American women in 2015. The majority of endometrial cancers are of serous or endometrioid histology. Most human tumors, including endometrial tumors, are driven by the acquisition of pathogenic mutations in cancer genes. Thus, the identification of somatic mutations within tumor genomes is an entry point toward cancer gene discovery. However, efforts to pinpoint somatic mutations in human cancers have, until recently, relied on high-throughput sequencing of single genes or gene families using Sanger sequencing. Although this approach has been fruitful, the cost and throughput of Sanger sequencing generally prohibits systematic sequencing of the ~22,000 genes that make up the exome. The recent development of next-generation sequencing technologies changed this paradigm by providing the capability to rapidly sequence exomes, transcriptomes, and genomes at relatively low cost. Remarkably, the application of this technology to catalog the mutational landscapes of endometrial tumor exomes, transcriptomes, and genomes has revealed, for the first time, that serous and endometrioid endometrial cancers can be classified into four distinct molecular subgroups. In this chapter, we overview the characteristic genomic features of each subgroup and discuss the known and putative cancer genes that have emerged from next-generation sequencing of endometrial carcinomas.

Whole-exome and whole-genome sequencing have revealed millions of somatic mutations associated with different human cancers, and the vast majority of them are located outside of coding sequences, making it challenging to directly interpret their functional effects. With the rapid advances in high-throughput sequencing technologies, genome-scale long-range chromatin interactions were detected, and distal target genes of regulatory elements were determined using three-dimensional (3D) chromatin looping. Herein, we present OncoBase (http://www.oncobase.biols.ac.cn/), an integrated database for annotating 81 385 242 somatic mutations in 68 cancer types from more than 120 cancer projects by exploring their roles in distal interactions between target genes and regulatory elements. OncoBase integrates local chromatin signatures, 3D chromatin interactions in different cell types and reconstruction of enhancer-target networks using state-of-the-art algorithms. It employs informative visualization tools to display the integrated local and 3D chromatin signatures and effects of somatic mutations on regulatory elements. Enhancer-promoter interactions estimated from chromatin interactions are integrated into a network diffusion system that quantitatively prioritizes somatic mutations and target genes from a large pool. Thus, OncoBase is a useful resource for the functional annotation of regulatory noncoding regions and systematically benchmarking the regulatory effects of embedded noncoding somatic mutations in human carcinogenesis.

Cancer is characterized by uncontrolled cell growth, and the cause of different cancers is generally attributed to checkpoint dysregulation of cell proliferation and apoptosis. Recent studies have shown that non-optimal codons were preferentially adopted by genes to generate cell cycle-dependent oscillations in protein levels. This raises the intriguing question of how dynamic changes of codon usage modulate the cancer genome to cope with a non-controlled proliferative cell cycle. In this study, we comprehensively analyzed the somatic mutations of codons in human cancers, and found that non-optimal codons tended to be accumulated through both synonymous and non-synonymous mutations compared with other types of genomic substitution. We further demonstrated that non-optimal codons were prevalently accumulated across different types of cancers, amino acids, and chromosomes, and genes with accumulation of non-optimal codons tended to be involved in protein interaction/signaling networks and encoded important enzymes in metabolic networks that played roles in cancer-related pathways. This study provides insights into the dynamics of codons in the cancer genome and demonstrates that accumulation of non-optimal codons may be an adaptive strategy for cancerous cells to win the competition with normal cells. This deeper interpretation of the patterns and the functional characterization of somatic mutations of codons will help to broaden the current understanding of the molecular basis of cancers.

11000 Background: In the past decade, sequencing studies have delineated somatic mutations in human cancers. Given that cancer cells interact with their microenvironment and the presence of somatic mutations in a subset of elderly individuals with clonal hematopoiesis, we hypothesized that white blood cells within tumors might be characterized by clonally selected mutations in known cancer genes. Here we provide direct evidence of the presence of clonal somatic mutations affecting known cancer genes in tumor-infiltrating leukocytes from breast cancer (BC) patients. Methods: We evaluated tumor infiltrating leukocytes in 17 primary BC samples: 13 patients had triple negative BC, 2 had ER+, HER2+ BC, and 2 had ER+, HER2- BC. Fluorescent activated cell sorting was employed to separate CD45-positive hematopoietic cells from CD45-negative epithelial cells. Whole exome sequencing of tumor infiltrating leukocytes revealed candidate somatic mutations in known cancer genes, including BCOR, NOTCH2, TET2, NF1, EZH2 and JAK1. To validate our findings, we expanded our sample size to 20 patients and performed targeted capture massively parallel sequencing of matched tumor-infiltrating leukocytes and germline DNA. Laser-capture microdissected cancer cells were subjected to high-depth sequencing to rule out the presence in cancer cells of the somatic mutations found in leukocytes. Results: In 10 of the 20 patients, we identified and validated somatic mutations, including mutations affecting genes associated with leukemia in tumor infiltrating leukocytes but not in laser-capture microdissected BC cells from the same patients. Targeted sequencing indicated that these mutations are enriched in tumor-infiltrating leukocytes as compared to circulating leukocytes. Conclusions: We identified clonal somatic mutations in known cancer genes in tumor infiltrating leukocytes. These data suggest a novel relationship between cancer cells and mutant infiltrating leukocytes. Studies are underway to investigate functional interactions between BC cells and hematopoietic cells harboring somatic mutations.

Identifying Putative Susceptibility Genes and Evaluating Their Associations with Somatic Mutations in Human Cancers

All cancers arise due to the accumulation of mutations in critical target genes that, when altered, give rise to selective advantage in the cell and its progeny that harbor them. Knowledge of these mutations is key in understanding the biology of cancer initiation and progression, as well as the development of more targeted therapeutic strategies. We have undertaken a systematic screen of all annotated protein kinases in the human genome for mutations in a series of cancers including breast, non-small-cell lung, and testicular cancer. Our results show a wide diversity in mutation prevalence within and between tumor types. We have identified a mutator phenotype in human breast previously undescribed. The results presented from sequencing the same 1.3 million base pairs through several tumor types suggest that most of the observed mutations are likely to be passenger events rather than causally implicated in oncogenesis. However, this work does provide evidence for the likely existence of multiple, infrequently mutated kinases.

Genetic alterations targeting the PTEN tumor suppressor gene are among the most frequently noted somatic mutations in human cancers. Such lesions have been noted in cancers of the prostate and endometrium and in glioblastoma multiforme, among many others. Moreover, germline mutation of PTEN leads to the development of the related hereditary cancer predisposition syndromes, Cowden disease, and Bannayan-Zonana syndrome, wherein breast and thyroid cancer incidence is elevated. The protein product, PTEN, is a lipid phosphatase, the enzymatic activity of which primarily serves to remove phosphate groups from key intracellular phosphoinositide signaling molecules. This activity normally serves to restrict growth and survival signals by limiting activity of the phosphoinositide-3 kinase (PI3K) pathway. Multiple lines of evidence support the notion that this function is critical to the ability of PTEN to maintain cell homeostasis. Indeed, the absence of functional PTEN in cancer cells leads to constitutive activation of downstream components of the PI3K pathway including the Akt and mTOR kinases. In model organisms, inactivation of these kinases can reverse the effects of PTEN loss. These data raise the possibility that drugs targeting these kinases, or PI3K itself, might have significant therapeutic activity in PTEN-null cancers. Akt kinase inhibitors are still in development; however, as a first test of this hypothesis, phase I and phase II trials of inhibitors of mTOR, namely, rapamycin and rapamycin analogs are underway.

203 INVITED Somatic mutations in human cancer: emerging patterns from sequencing the protein kinase gene family and beyond

<div>Abstract<p>Massive somatic mutations discovered by large cancer genome sequencing projects provide unprecedented opportunities in the development of precision oncology. However, deep understanding of functional consequences of somatic mutations and identifying actionable mutations and the related drug responses currently remain formidable challenges. Dysfunction of protein posttranslational modification plays critical roles in tumorigenesis and drug responses. In this study, we proposed a novel computational oncoproteomics approach, named kinome-wide network module for cancer pharmacogenomics (KNMPx), for identifying actionable mutations that rewired signaling networks and further characterized tumorigenesis and anticancer drug responses. Specifically, we integrated 746,631 missense mutations in 4,997 tumor samples across 16 major cancer types/subtypes from The Cancer Genome Atlas into over 170,000 carefully curated nonredundant phosphorylation sites covering 18,610 proteins. We found 47 mutated proteins (e.g., ERBB2, TP53, and CTNNB1) that had enriched missense mutations at their phosphorylation sites in pan-cancer analysis. In addition, tissue-specific kinase–substrate interaction modules altered by somatic mutations identified by KNMPx were significantly associated with patient survival. We further reported a kinome-wide landscape of pharmacogenomic interactions by incorporating somatic mutation-rewired signaling networks in 1,001 cancer cell lines via KNMPx. Interestingly, we found that cell lines could highly reproduce oncogenic phosphorylation site mutations identified in primary tumors, supporting the confidence in their associations with sensitivity/resistance of inhibitors targeting EGF, MAPK, PI3K, mTOR, and Wnt signaling pathways. In summary, our KNMPx approach is powerful for identifying oncogenic alterations via rewiring phosphorylation-related signaling networks and drug sensitivity/resistance in the era of precision oncology. <i>Cancer Res; 77(11); 2810–21. ©2017 AACR</i>.</p></div>

<div>Abstract<p>Massive somatic mutations discovered by large cancer genome sequencing projects provide unprecedented opportunities in the development of precision oncology. However, deep understanding of functional consequences of somatic mutations and identifying actionable mutations and the related drug responses currently remain formidable challenges. Dysfunction of protein posttranslational modification plays critical roles in tumorigenesis and drug responses. In this study, we proposed a novel computational oncoproteomics approach, named kinome-wide network module for cancer pharmacogenomics (KNMPx), for identifying actionable mutations that rewired signaling networks and further characterized tumorigenesis and anticancer drug responses. Specifically, we integrated 746,631 missense mutations in 4,997 tumor samples across 16 major cancer types/subtypes from The Cancer Genome Atlas into over 170,000 carefully curated nonredundant phosphorylation sites covering 18,610 proteins. We found 47 mutated proteins (e.g., ERBB2, TP53, and CTNNB1) that had enriched missense mutations at their phosphorylation sites in pan-cancer analysis. In addition, tissue-specific kinase–substrate interaction modules altered by somatic mutations identified by KNMPx were significantly associated with patient survival. We further reported a kinome-wide landscape of pharmacogenomic interactions by incorporating somatic mutation-rewired signaling networks in 1,001 cancer cell lines via KNMPx. Interestingly, we found that cell lines could highly reproduce oncogenic phosphorylation site mutations identified in primary tumors, supporting the confidence in their associations with sensitivity/resistance of inhibitors targeting EGF, MAPK, PI3K, mTOR, and Wnt signaling pathways. In summary, our KNMPx approach is powerful for identifying oncogenic alterations via rewiring phosphorylation-related signaling networks and drug sensitivity/resistance in the era of precision oncology. <i>Cancer Res; 77(11); 2810–21. ©2017 AACR</i>.</p></div>

Metastasis of hepatocellular carcinoma (HCC) to the ovary is notably rare. We present a case of HCC metastasis to the ovary with a review of the literature, which includes only 7 reported cases. A 43-year-old hepatitis B virus carrier was admitted with a right ovarian cystic mass. She had been diagnosed with HCC 2 years prior, for which she underwent transarterial chemoembolization followed by right posterior sectionectomy. Eight months after the hepatectomy, the first intrahepatic recurrence was detected and treated with transarterial chemoembolization. An additional intrahepatic recurrence occurred 12 months after transarterial chemoembolization and was managed with left medial sectionectomy and intra-operative radiofrequency ablation. Over the following 3 months, the patient developed elevated alpha-fetoprotein, and positron emission tomography showed a cystic mass in the right side of the pelvic cavity with focal hypermetabolic activity, which suggested a site of recurrent HCC. An exploratory laparotomy was performed, and a soft, ovoid cystic mass was identified in the right ovary. There was no evidence of metastases in the liver, left ovary, or peritoneum. Because of the absence of tumor on the surface of the ovary and the lack of peritoneal seeding, the mode of metastasis was thought to be hematogenous. Therefore, a right salphingo-oophorectomy was performed. The pathological features showed metastatic HCC with clear resection margins. Although metastasis of HCC to the ovary is very rare, it should be suspected in a female patient with a lower abdominal mass and an elevated serum AFP level in the absence of other demonstrable metastases.