101
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Bailey MH, Tokheim C, Porta-Pardo E, Sengupta S, Bertrand D, Weerasinghe A, Colaprico A, Wendl MC, Kim J, Reardon B, Ng PKS, Jeong KJ, Cao S, Wang Z, Gao J, Gao Q, Wang F, Liu EM, Mularoni L, Rubio-Perez C, Nagarajan N, Cortés-Ciriano I, Zhou DC, Liang WW, Hess JM, Yellapantula VD, Tamborero D, Gonzalez-Perez A, Suphavilai C, Ko JY, Khurana E, Park PJ, Van Allen EM, Liang H, Lawrence MS, Godzik A, Lopez-Bigas N, Stuart J, Wheeler D, Getz G, Chen K, Lazar AJ, Mills GB, Karchin R, Ding L. Comprehensive Characterization of Cancer Driver Genes and Mutations. Cell 2018; 173:371-385.e18. [PMID: 29625053 PMCID: PMC6029450 DOI: 10.1016/j.cell.2018.02.060] [Citation(s) in RCA: 1322] [Impact Index Per Article: 188.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 11/22/2017] [Accepted: 02/23/2018] [Indexed: 12/19/2022]
Abstract
Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations. We identify 299 driver genes with implications regarding their anatomical sites and cancer/cell types. Sequence- and structure-based analyses identified >3,400 putative missense driver mutations supported by multiple lines of evidence. Experimental validation confirmed 60%-85% of predicted mutations as likely drivers. We found that >300 MSI tumors are associated with high PD-1/PD-L1, and 57% of tumors analyzed harbor putative clinically actionable events. Our study represents the most comprehensive discovery of cancer genes and mutations to date and will serve as a blueprint for future biological and clinical endeavors.
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Affiliation(s)
- Matthew H Bailey
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Collin Tokheim
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre (BSC), Barcelona, Spain; Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Sohini Sengupta
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Denis Bertrand
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672
| | - Amila Weerasinghe
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Antonio Colaprico
- Interuniversity Institute of Bioinformatics in Brussels (IB2), 1050 Brussels, Belgium; Machine Learning Group (MLG), Département d'Informatique, Université Libre de Bruxelles (ULB), Boulevard du Triomphe, CP212, 1050 Bruxelles, Belgium; Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, FL 33136, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jaegil Kim
- The Broad Institute, Cambridge, MA 02142, USA
| | - Brendan Reardon
- The Broad Institute, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Patrick Kwok-Shing Ng
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kang Jin Jeong
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Song Cao
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Zixing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianjiong Gao
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Qingsong Gao
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Fang Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Eric Minwei Liu
- Meyer Cancer Center and Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Loris Mularoni
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Carlota Rubio-Perez
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Niranjan Nagarajan
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672
| | - Isidro Cortés-Ciriano
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA; Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | - Daniel Cui Zhou
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Wen-Wei Liang
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | | | - Venkata D Yellapantula
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - David Tamborero
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Abel Gonzalez-Perez
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Chayaporn Suphavilai
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672
| | - Jia Yu Ko
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 138672
| | - Ekta Khurana
- Meyer Cancer Center and Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA
| | - Eliezer M Van Allen
- The Broad Institute, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Han Liang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael S Lawrence
- The Broad Institute, Cambridge, MA 02142, USA; Department of Pathology, Massachusetts General Hospital Cancer Center, 55 Fruit Street, Boston, MA 02114, USA
| | - Adam Godzik
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Josh Stuart
- University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - David Wheeler
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Gad Getz
- The Broad Institute, Cambridge, MA 02142, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander J Lazar
- Departments of Pathology, Genomic Medicine, & Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Gordon B Mills
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rachel Karchin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Oncology, Johns Hopkins University, Baltimore, MD 21287, USA.
| | - Li Ding
- Division of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA.
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102
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Wang Y, Wang C, Zhang J, Zhu M, Zhang X, Li Z, Dai J, Ma H, Hu Z, Jin G, Shen H. Interaction analysis between germline susceptibility loci and somatic alterations in lung cancer. Int J Cancer 2018; 143:878-885. [PMID: 29492964 DOI: 10.1002/ijc.31351] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/11/2018] [Accepted: 02/14/2018] [Indexed: 12/16/2022]
Abstract
Emerging evidence indicates that germline variations may interact with somatic events in carcinogenesis. However, the germline-somatic interaction in lung cancer remains largely unknown. We investigated whether lung cancer driver genes (CDGs) were more likely to locate within cancer susceptibility regions. Pathway analysis was performed to identify common pathways underlying CDGs and cancer susceptibility genes (CSGs). Next, we analyzed the associations between lung cancer risk SNPs and somatic alterations, including mutations and copy number alterations, in the level of genes, pathways, and overall burden of alterations. Enrichment analysis showed that lung CDGs are more likely to locate within cancer susceptibility regions (p = 8.40 × 10-3 ). Both of lung CSGs and CDGs showed significant enrichment in pathways such as cell cycle and p53 signaling pathway. Gene-based analysis showed that rs36600 (22q12.2) was associated with somatic mutations within ARID1A (OR = 2.45, 95%CI: 1.47-4.08, p = 5.78 × 10-4 ). Pathway-based analysis of somatic truncation mutations identified rs2395185 and rs3817963 at 6p22.1 was associated with cell cycle pathway (OR = 1.56, p = 3.61 × 10-4 for rs2395185; OR = 1.58, p = 4.15 × 10-4 for rs3817963), and rs3817963 was also associated with MAPK signaling pathway (OR = 1.54, p = 8.58 × 10-4 ). Further analysis associated rs2395185 at 6p22.1 (HLA class II genes) with increased APOBEC3A expression (p = 9.50 × 10-3 ) and elevated APOBEC mutagenesis (p = 3.58 × 10-3 ). These results indicate germline-somatic interactions in lung tumorigenesis, and help to uncover the molecular mechanisms underlying lung cancer risk SNPs.
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Affiliation(s)
- Yuzhuo Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Bioinformatics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Jiahui Zhang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Xu Zhang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhihua Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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103
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Functional germline variants as potential co-oncogenes. NPJ Breast Cancer 2017; 3:46. [PMID: 29177190 PMCID: PMC5700137 DOI: 10.1038/s41523-017-0051-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 11/01/2017] [Accepted: 11/06/2017] [Indexed: 12/23/2022] Open
Abstract
Germline variants that affect the expression or function of proteins contribute to phenotypic variation in humans and likely determine individual characteristics and susceptibility to diseases including cancer. A number of high penetrance germline variants that increase cancer risk have been identified and studied, but germline functional polymorphisms are not typically considered in the context of cancer biology, where the focus is primarily on somatic mutations. Yet, there is evidence from familial cancers indicating that specific cancer subtypes tend to arise in carriers of high-risk germline variants (e.g., triple negative breast cancers in mutated BRCA carriers), which suggests that pre-existing germline variants may determine which complementary somatic driver mutations are needed to drive tumorigenesis. Recent genome sequencing studies of large breast cancer cohorts reported only a handful of highly recurrent driver mutations, suggesting that different oncogenic events drive individual cancers. Here, we propose that germline polymorphisms can function as oncogenic modifiers, or co-oncogenes, and these determine what complementary subsequent somatic events are required for full malignant transformation. Therefore, we propose that germline aberrations should be considered together with somatic mutations to determine what genes drive cancer and how they may be targeted.
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104
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Geeleher P, Huang RS. Exploring the Link between the Germline and Somatic Genome in Cancer. Cancer Discov 2017; 7:354-355. [PMID: 28373166 DOI: 10.1158/2159-8290.cd-17-0192] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
<b/> Carter and colleagues propose a systematic analysis of the germline and somatic genome in cancer. They identify interactions that occur between germline and somatic variants. This elucidates the function of the germline genome in the context of cancer risk and development. Cancer Discov; 7(4); 354-5. ©2017 AACRSee related article by Carter et al., p. 410.
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Affiliation(s)
- Paul Geeleher
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois
| | - R Stephanie Huang
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
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105
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Jaffee EM, Dang CV, Agus DB, Alexander BM, Anderson KC, Ashworth A, Barker AD, Bastani R, Bhatia S, Bluestone JA, Brawley O, Butte AJ, Coit DG, Davidson NE, Davis M, DePinho RA, Diasio RB, Draetta G, Frazier AL, Futreal A, Gambhir SS, Ganz PA, Garraway L, Gerson S, Gupta S, Heath J, Hoffman RI, Hudis C, Hughes-Halbert C, Ibrahim R, Jadvar H, Kavanagh B, Kittles R, Le QT, Lippman SM, Mankoff D, Mardis ER, Mayer DK, McMasters K, Meropol NJ, Mitchell B, Naredi P, Ornish D, Pawlik TM, Peppercorn J, Pomper MG, Raghavan D, Ritchie C, Schwarz SW, Sullivan R, Wahl R, Wolchok JD, Wong SL, Yung A. Future cancer research priorities in the USA: a Lancet Oncology Commission. Lancet Oncol 2017; 18:e653-e706. [PMID: 29208398 PMCID: PMC6178838 DOI: 10.1016/s1470-2045(17)30698-8] [Citation(s) in RCA: 139] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 08/23/2017] [Accepted: 08/23/2017] [Indexed: 12/12/2022]
Abstract
We are in the midst of a technological revolution that is providing new insights into human biology and cancer. In this era of big data, we are amassing large amounts of information that is transforming how we approach cancer treatment and prevention. Enactment of the Cancer Moonshot within the 21st Century Cures Act in the USA arrived at a propitious moment in the advancement of knowledge, providing nearly US$2 billion of funding for cancer research and precision medicine. In 2016, the Blue Ribbon Panel (BRP) set out a roadmap of recommendations designed to exploit new advances in cancer diagnosis, prevention, and treatment. Those recommendations provided a high-level view of how to accelerate the conversion of new scientific discoveries into effective treatments and prevention for cancer. The US National Cancer Institute is already implementing some of those recommendations. As experts in the priority areas identified by the BRP, we bolster those recommendations to implement this important scientific roadmap. In this Commission, we examine the BRP recommendations in greater detail and expand the discussion to include additional priority areas, including surgical oncology, radiation oncology, imaging, health systems and health disparities, regulation and financing, population science, and oncopolicy. We prioritise areas of research in the USA that we believe would accelerate efforts to benefit patients with cancer. Finally, we hope the recommendations in this report will facilitate new international collaborations to further enhance global efforts in cancer control.
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Affiliation(s)
| | - Chi Van Dang
- Ludwig Institute for Cancer Research New York, NY; Wistar Institute, Philadelphia, PA, USA.
| | - David B Agus
- University of Southern California, Beverly Hills, CA, USA
| | - Brian M Alexander
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Alan Ashworth
- University of California San Francisco, San Francisco, CA, USA
| | | | - Roshan Bastani
- Fielding School of Public Health and the Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA
| | - Sangeeta Bhatia
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey A Bluestone
- University of California San Francisco, San Francisco, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | | | - Atul J Butte
- University of California San Francisco, San Francisco, CA, USA
| | - Daniel G Coit
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Nancy E Davidson
- Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA, USA
| | - Mark Davis
- California Institute for Technology, Pasadena, CA, USA
| | | | | | - Giulio Draetta
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Lindsay Frazier
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Andrew Futreal
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Patricia A Ganz
- Fielding School of Public Health and the Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA
| | - Levi Garraway
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA; Eli Lilly and Company, Boston, MA, USA
| | | | - Sumit Gupta
- Division of Haematology/Oncology, Hospital for Sick Children, Faculty of Medicine and IHPME, University of Toronto, Toronto, Canada
| | - James Heath
- California Institute for Technology, Pasadena, CA, USA
| | - Ruth I Hoffman
- American Childhood Cancer Organization, Beltsville, MD, USA
| | - Cliff Hudis
- Breast Cancer Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Chanita Hughes-Halbert
- Medical University of South Carolina and the Hollings Cancer Center, Charleston, SC, USA
| | - Ramy Ibrahim
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Hossein Jadvar
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brian Kavanagh
- Department of Radiation Oncology, University of Colorado, Denver, CO, USA
| | - Rick Kittles
- College of Medicine, University of Arizona, Tucson, AZ, USA; University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA
| | | | - Scott M Lippman
- University of California San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - David Mankoff
- Department of Radiology and Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elaine R Mardis
- The Institute for Genomic Medicine at Nationwide Children's Hospital Columbus, OH, USA; College of Medicine, Ohio State University, Columbus, OH, USA
| | - Deborah K Mayer
- University of North Carolina Lineberger Cancer Center, Chapel Hill, NC, USA
| | - Kelly McMasters
- The Hiram C Polk Jr MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA
| | | | | | - Peter Naredi
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Dean Ornish
- University of California San Francisco, San Francisco, CA, USA
| | - Timothy M Pawlik
- Department of Surgery, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | | | - Martin G Pomper
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Derek Raghavan
- Levine Cancer Institute, Carolinas HealthCare, Charlotte, NC, USA
| | | | - Sally W Schwarz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | | | - Richard Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Jedd D Wolchok
- Ludwig Center for Cancer Immunotherapy, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Sandra L Wong
- Department of Surgery, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Alfred Yung
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
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106
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Abstract
microRNAs (miRNAs) are a small RNA species without protein-coding potential. However, they are key modulators of protein translation. Many studies have linked miRNAs with cancer initiation, progression, diagnosis, and prognosis, and recent studies have also linked them with cancer etiology and susceptibility, especially through single-nucleotide polymorphisms (SNPs). This review discusses some of the recent advances in miRNA-SNP literature-including SNPs in miRNA genes, miRNA target sites, and the processing machinery. In addition, we highlight some emerging areas of interest, including isomiRs and non-3'UTR focused miRNA-binding mechanisms that could provide further novel insight into the relationship between miR-SNPs and cancer. Finally, we note that additional epidemiological and experimental research is needed to close the gap in our understanding of the genotype-phenotype relationship between miRNA-SNPs and cancer.
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Affiliation(s)
- Bríd M Ryan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States.
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107
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Carter H, Ideker T. Common genetic variation in the germline influences where and how tumors develop. Mol Cell Oncol 2017; 4:e1302905. [PMID: 28616579 DOI: 10.1080/23723556.2017.1302905] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 03/01/2017] [Accepted: 03/01/2017] [Indexed: 12/17/2022]
Abstract
Germline variation contributes to individual risk for developing specific types of cancer. Analyzing thousands of tumors, we found evidence that the germline also influences vulnerable tissue sites and the mutations that arise in tumor genomes. These associations provide new clues to unravel the biologic mechanisms underlying cancer predisposition.
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Affiliation(s)
- Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, USA.,Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.,Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA.,Bioinformatics Program, University of California San Diego, La Jolla, CA, USA
| | - Trey Ideker
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, USA.,Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.,Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA.,Bioinformatics Program, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science, University of California San Diego, La Jolla, CA, USA
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108
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Spira A, Yurgelun MB, Alexandrov L, Rao A, Bejar R, Polyak K, Giannakis M, Shilatifard A, Finn OJ, Dhodapkar M, Kay NE, Braggio E, Vilar E, Mazzilli SA, Rebbeck TR, Garber JE, Velculescu VE, Disis ML, Wallace DC, Lippman SM. Precancer Atlas to Drive Precision Prevention Trials. Cancer Res 2017; 77:1510-1541. [PMID: 28373404 PMCID: PMC6681830 DOI: 10.1158/0008-5472.can-16-2346] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 01/20/2017] [Accepted: 01/20/2017] [Indexed: 02/07/2023]
Abstract
Cancer development is a complex process driven by inherited and acquired molecular and cellular alterations. Prevention is the holy grail of cancer elimination, but making this a reality will take a fundamental rethinking and deep understanding of premalignant biology. In this Perspective, we propose a national concerted effort to create a Precancer Atlas (PCA), integrating multi-omics and immunity - basic tenets of the neoplastic process. The biology of neoplasia caused by germline mutations has led to paradigm-changing precision prevention efforts, including: tumor testing for mismatch repair (MMR) deficiency in Lynch syndrome establishing a new paradigm, combinatorial chemoprevention efficacy in familial adenomatous polyposis (FAP), signal of benefit from imaging-based early detection research in high-germline risk for pancreatic neoplasia, elucidating early ontogeny in BRCA1-mutation carriers leading to an international breast cancer prevention trial, and insights into the intricate germline-somatic-immunity interaction landscape. Emerging genetic and pharmacologic (metformin) disruption of mitochondrial (mt) respiration increased autophagy to prevent cancer in a Li-Fraumeni mouse model (biology reproduced in clinical pilot) and revealed profound influences of subtle changes in mt DNA background variation on obesity, aging, and cancer risk. The elaborate communication between the immune system and neoplasia includes an increasingly complex cellular microenvironment and dynamic interactions between host genetics, environmental factors, and microbes in shaping the immune response. Cancer vaccines are in early murine and clinical precancer studies, building on the recent successes of immunotherapy and HPV vaccine immune prevention. Molecular monitoring in Barrett's esophagus to avoid overdiagnosis/treatment highlights an important PCA theme. Next generation sequencing (NGS) discovered age-related clonal hematopoiesis of indeterminate potential (CHIP). Ultra-deep NGS reports over the past year have redefined the premalignant landscape remarkably identifying tiny clones in the blood of up to 95% of women in their 50s, suggesting that potentially premalignant clones are ubiquitous. Similar data from eyelid skin and peritoneal and uterine lavage fluid provide unprecedented opportunities to dissect the earliest phases of stem/progenitor clonal (and microenvironment) evolution/diversity with new single-cell and liquid biopsy technologies. Cancer mutational signatures reflect exogenous or endogenous processes imprinted over time in precursors. Accelerating the prevention of cancer will require a large-scale, longitudinal effort, leveraging diverse disciplines (from genetics, biochemistry, and immunology to mathematics, computational biology, and engineering), initiatives, technologies, and models in developing an integrated multi-omics and immunity PCA - an immense national resource to interrogate, target, and intercept events that drive oncogenesis. Cancer Res; 77(7); 1510-41. ©2017 AACR.
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Affiliation(s)
- Avrum Spira
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Matthew B Yurgelun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ludmil Alexandrov
- Theoretical Division, Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Anjana Rao
- Division of Signaling and Gene Expression, La Jolla Institute for Allergy and Immunology, La Jolla, California
| | - Rafael Bejar
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ali Shilatifard
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Olivera J Finn
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Madhav Dhodapkar
- Department of Hematology and Immunology, Yale Cancer Center, New Haven, Connecticut
| | - Neil E Kay
- Department of Hematology, Mayo Clinic Hospital, Rochester, Minnesota
| | - Esteban Braggio
- Department of Hematology, Mayo Clinic Hospital, Phoenix, Arizona
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sarah A Mazzilli
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Timothy R Rebbeck
- Division of Hematology and Oncology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Judy E Garber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor E Velculescu
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
- Department of Pathology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Mary L Disis
- Department of Medicine, Center for Translational Medicine in Women's Health, University of Washington, Seattle, Washington
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Scott M Lippman
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California.
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Seton-Rogers S. Genomics: A different view of the landscape. Nat Rev Cancer 2017; 17:206-207. [PMID: 28280266 DOI: 10.1038/nrc.2017.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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