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Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M, Aeilts AM, Aittomäki K, Andrieu N, Andrulis IL, Anton-Culver H, Arason A, Arun BK, Balmaña J, Bandera EV, Barkardottir RB, Berger LP, de Gonzalez AB, Berthet P, Białkowska K, Bjørge L, Blanco AM, Blok MJ, Bobolis KA, Bogdanova NV, Brenton JD, Butz H, Buys SS, Caligo MA, Campbell I, Castillo C, Claes KB, Colonna SV, Cook LS, Daly MB, Dansonka-Mieszkowska A, de la Hoya M, deFazio A, DePersia A, Ding YC, Domchek SM, Dörk T, Einbeigi Z, Engel C, Evans DG, Foretova L, Fortner RT, Fostira F, Foti MC, Friedman E, Frone MN, Ganz PA, Gentry-Maharaj A, Glendon G, Godwin AK, González-Neira A, Greene MH, Gronwald J, Guerrieri-Gonzaga A, Hamann U, Hansen TV, Harris HR, Hauke J, Heitz F, Hogervorst FB, Hooning MJ, Hopper JL, Huff CD, Huntsman DG, Imyanitov EN, Izatt L, Jakubowska A, James PA, Janavicius R, John EM, Kar S, Karlan BY, Kennedy CJ, Kiemeney LA, Konstantopoulou I, Kupryjanczyk J, Laitman Y, Lavie O, Lawrenson K, Lester J, Lesueur F, Lopez-Pleguezuelos C, Mai PL, Manoukian S, May T, McNeish IA, Menon U, Milne RL, Modugno F, Mongiovi JM, Montagna M, Moysich KB, Neuhausen SL, Nielsen FC, Noguès C, Oláh E, Olopade OI, Osorio A, Papi L, Pathak H, Pearce CL, Pedersen IS, Peixoto A, Pejovic T, Peng PC, Peshkin BN, Peterlongo P, Powell CB, Prokofyeva D, Pujana MA, Radice P, Rashid MU, Rennert G, Richenberg G, Sandler DP, Sasamoto N, Setiawan VW, Sharma P, Sieh W, Singer CF, Snape K, Sokolenko AP, Soucy P, Southey MC, Stoppa-Lyonnet D, Sutphen R, Sutter C, Teixeira MR, Terry KL, Thomsen LCV, Tischkowitz M, Toland AE, Van Gorp T, Vega A, Velez Edwards DR, Webb PM, Weitzel JN, Wentzensen N, Whittemore AS, Winham SJ, Wu AH, Yadav S, Yu Y, Ziogas A, Berchuck A, Couch FJ, Goode EL, Goodman MT, Monteiro AN, Offit K, Ramus SJ, Risch HA, Schildkraut JM, Thomassen M, Simard J, Easton DF, Jones MR, Chenevix-Trench G, Gayther SA, Antoniou AC, Pharoah PD. Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.29.24303243. [PMID: 38496424 PMCID: PMC10942532 DOI: 10.1101/2024.02.29.24303243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Background Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We used data from the Ovarian Cancer Association Consortium (OCAC), Consortium of Investigators of Modifiers of BRCA1/BRCA2 (CIMBA), UK Biobank (UKBB), and FinnGen to identify novel HGSOC susceptibility loci and develop polygenic scores (PGS). Methods We analyzed >22 million variants for 398,238 women. Associations were assessed separately by consortium and meta-analysed. OCAC and CIMBA data were used to develop PGS which were trained on FinnGen data and validated in UKBB and BioBank Japan. Results Eight novel variants were associated with HGSOC risk. An interesting discovery biologically was finding that TP53 3'-UTR SNP rs78378222 was associated with HGSOC (per T allele relative risk (RR)=1.44, 95%CI:1.28-1.62, P=1.76×10-9). The optimal PGS included 64,518 variants and was associated with an odds ratio of 1.46 (95%CI:1.37-1.54) per standard deviation in the UKBB validation (AUROC curve=0.61, 95%CI:0.59-0.62). Conclusions This study represents the largest GWAS for HGSOC to date. The results highlight that improvements in imputation reference panels and increased sample sizes can identify HGSOC associated variants that previously went undetected, resulting in improved PGS. The use of updated PGS in cancer risk prediction algorithms will then improve personalized risk prediction for HGSOC.
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Affiliation(s)
- Daniel R. Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan P. Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amber M. Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Nadine Andrieu
- Inserm U900, Paris, France
- Institut Curie, Paris, France
- Mines ParisTech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Irene L. Andrulis
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Adalgeir Arason
- Department of Pathology, Landspitali - the National University Hospital of Iceland, Reykjavik, Iceland
- BMC (Biomedical Centre), Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Banu K. Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Judith Balmaña
- Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Department of Medical Oncology, University Hospital of Vall d’Hebron, Barcelona, Spain
| | - Elisa V. Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Rosa B. Barkardottir
- Department of Pathology, Landspitali - the National University Hospital of Iceland, Reykjavik, Iceland
- BMC (Biomedical Centre), Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lieke P.V. Berger
- University Medical Center Groningen, Department of Genetics, University of Groningen, Groningen, The Netherlands
| | | | - Pascaline Berthet
- Département de Biopathologie, Centre François Baclesse, Caen, France
| | - Katarzyna Białkowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Line Bjørge
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amie M. Blanco
- Cancer Genetics and Prevention Program, University of California San Francisco, San Francisco, CA, USA
| | - Marinus J. Blok
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Kristie A. Bobolis
- City of Hope Clinical Cancer Genetics Community Research Network, Duarte, CA, USA
| | - Natalia V. Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - James D. Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Henriett Butz
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
- National Tumour Biology Laboratory, National Institute of Oncology, Budapest, Hungary
- Department of Oncology Biobank, National Institute of Oncology, Budapest, Hungary
| | - Saundra S. Buys
- Department of Medicine, Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | | | - Ian Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Carmen Castillo
- Hereditary Cancer Program, IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, Barcelona, Spain
| | - Kathleen B.M. Claes
- Centre for Medical Genetics, Ghent University, Gent, Belgium
- Department of Biomolecular Medicine, University of Ghent, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | | | - EMBRACE Collaborators
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Sarah V. Colonna
- Department of Internal Medicine, Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | - Linda S. Cook
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Mary B. Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Agnieszka Dansonka-Mieszkowska
- Department of Pathology and Laboratory Medicine, Institute of Oncology and Maria Sklodowska-Curie Cancer Center, Warsaw, Poland
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Anna deFazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - Allison DePersia
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, IL, USA
- The University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Yuan Chun Ding
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Susan M. Domchek
- Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Zakaria Einbeigi
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - D. Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St. Mary’s Hospital, Manchester, UK
- Genomic Medicine, North West Genomics hub, Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St. Mary’s Hospital, Manchester, UK
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
| | | | - Eitan Friedman
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
- The Susanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Ramat Gan, Israel
- Assuta Medical Center, Tel-Aviv, Israel
| | - Megan N. Frone
- National Cancer Institute, Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Patricia A. Ganz
- Schools of Medicine and Public Health, Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Centre, UCLA, Los Angeles, CA, USA
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Andrew K. Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Anna González-Neira
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre, Madrid, Spain
- Spanish Network on Rare Diseases, Madrid, Spain
| | - Mark H. Greene
- National Cancer Institute, Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Aliana Guerrieri-Gonzaga
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thomas v.O. Hansen
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Florian Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, Essen, Germany
| | - Frans B.L. Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Maartje J. Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Chad D Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David G. Huntsman
- British Columbia’s Ovarian Cancer Research (OVCARE) Program, BC Cancer, Vancouver General Hospital, and University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Evgeny N. Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St. Petersburg, Russia
| | - kConFab Investigators
- Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Louise Izatt
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Paul A. James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Center and the Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Ramunas Janavicius
- State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Hematology, Oncology and Transfusion Medicine Center, Oncogenetics Unit, Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Esther M. John
- Department of Epidemiology & Population Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine (Oncology), Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Siddhartha Kar
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Beth Y. Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
- Women’s Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Catherine J. Kennedy
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Medicine, Institute of Oncology and Maria Sklodowska-Curie Cancer Center, Warsaw, Poland
| | - Yael Laitman
- The Susanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Ofer Lavie
- Technion-Israel Institute of Technology, Haifa, Israel
- Carmel Medical Center, Haifa, Israel
| | - Kate Lawrenson
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Women’s Cancer Program at the Samuel Oschin Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
- Women’s Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Fabienne Lesueur
- Inserm U900, Paris, France
- Institut Curie, Paris, France
- Mines ParisTech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Carlos Lopez-Pleguezuelos
- Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Escola de Doutoramento Internacional, Universidade de Santiago, Santiago de Compostela, Spain
| | - Phuong L. Mai
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Taymaa May
- Princess Margaret Cancer Center, Toronto, Canada
| | - Iain A. McNeish
- Division of Cancer and Ovarian Cancer Action Research Centre, Department Surgery & Cancer, Imperial College London, London, UK
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Francesmary Modugno
- Womens Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jennifer M. Mongiovi
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | | | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Finn C. Nielsen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Catherine Noguès
- Département d’Anticipation et de Suivi des Cancers, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
- Aix Marseille Université, INSERM, IRD, SESSTIM, Marseille, France
| | - Edit Oláh
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | | | - Ana Osorio
- Spanish Network on Rare Diseases, Madrid, Spain
- Familial Cancer Clinical Unit, Human Cancer Genetics Programme, Madrid, Spain
| | - Laura Papi
- Department of Experimental and Clinical Biomedical Sciences ‘Mario Serio’, Medical Genetics Unit, University of Florence, Florence, Italy
| | - Harsh Pathak
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Celeste L. Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Inge S. Pedersen
- Molecular Diagnostics, Aalborg University Hospital, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Ana Peixoto
- Department of Laboratory Genetics, Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
| | - Tanja Pejovic
- Department of Obstetrics & Gynecology, Providence Medical Center, Medford, OR, USA
- Providence Cancer Center, Medford, OR, USA
| | - Pei-Chen Peng
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Beth N. Peshkin
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
- Jess and Mildred Fisher Center for Hereditary Cancer and Clinical Genomics Research, Georgetown University, Washington, DC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM - the FIRC Institute of Molecular Oncology, Milan, Italy
| | - C. Bethan Powell
- Hereditary Cancer Program, Kaiser Permanente Northern California, San Francisco, CA, USA
| | | | - Miquel Angel Pujana
- ProCURE, IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, Barcelona, Spain
- ProCURE, IDIBGI (Girona Biomedical Research Institute), Catalan Institute of Oncology, Girona, Spain
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Muhammad U. Rashid
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore, Pakistan
| | - Gad Rennert
- Technion-Israel Institute of Technology, Haifa, Israel
- The Association for Promotion of Research in Precision Medicine, Haifa, Israel
| | - George Richenberg
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Rockville, MD, USA
| | - Naoko Sasamoto
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | - Veronica W. Setiawan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Medical Oncology, University of Kansas Medical Center, Westwood, KS, USA
| | - Weiva Sieh
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christian F. Singer
- Dept of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Katie Snape
- Medical Genetics Unit, St George’s, University of London, London, UK
| | - Anna P. Sokolenko
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St. Petersburg, Russia
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec – Université Laval Research Center, Québec City, QC, Canada
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, East Melbourne, Victoria, Australia
| | - Dominique Stoppa-Lyonnet
- Genetics Department, Institut Curie, Paris, France
- Unité INSERM U830, Paris, France
- Université Paris Cité, Paris, France
| | - Rebecca Sutphen
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Christian Sutter
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Manuel R. Teixeira
- Department of Laboratory Genetics, Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- Department of Pathology and Molecular Immunology, School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal
| | - Kathryn L. Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Liv Cecilie V. Thomsen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Medical Birth Registry of Norway, Norwegian Institute of Public Health, Norway
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology, McGill University, Montréal, QC, Canada
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Amanda E. Toland
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, USA
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Toon Van Gorp
- Division of Gynecologic Oncology, University Hospital Leuven, Leuven, Belgium
- Leuven Cancer Institute, University of Leuven, Leuven, Belgium
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Digna R. Velez Edwards
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Penelope M. Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Alice S. Whittemore
- Department of Epidemiology & Population Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Anna H. Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Yao Yu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Andrew Berchuck
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Ellen L. Goode
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Marc T. Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alvaro N. Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- AnaNeo Therapeutics, New York, NY, USA
| | - Susan J. Ramus
- School of Clinical Medicine, Faculty of Medicine and Health, University of NSW Sydney, Sydney, New South Wales, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
| | - Harvey A. Risch
- Chronic Disease Epidemiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec – Université Laval Research Center, Québec City, QC, Canada
- Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, QC, Canada
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Michelle R. Jones
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Simon A. Gayther
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul D.P. Pharoah
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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2
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Vieira IA, Viola GD, Pezzi EH, Kowalski TW, Fernandes BV, Andreis TF, Bom N, Sonnenstrahl G, Rocha YMDA, Corrêa BDS, Donatti LM, Sant’Anna GDS, Corleta HVE, Brum IS, Rosset C, Vianna FSL, Macedo GS, Palmero EI, Ashton-Prolla P. Exploring the frequency of a TP53 polyadenylation signal variant in tumor DNA from patients diagnosed with lung adenocarcinomas, sarcomas and uterine leiomyomas. Genet Mol Biol 2024; 46:e20230133. [PMID: 38252059 PMCID: PMC10802224 DOI: 10.1590/1678-4685-gmb-2023-0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 11/16/2023] [Indexed: 01/23/2024] Open
Abstract
The TP53 3'UTR variant rs78378222 A>C has been detected in different tumor types as a somatic alteration that reduces p53 expression through modification of polyadenylation and miRNA regulation. Its prevalence is not yet known in all tumors. Herein, we examine tumor tissue prevalence of rs7837822 in Brazilian cohorts of patients from south and southeast regions diagnosed with lung adenocarcinoma (LUAD, n=586), sarcoma (SARC, n=188) and uterine leiomyoma (ULM, n=41). The minor allele (C) was identified in heterozygosity in 6/586 LUAD tumors (prevalence = 1.02 %) and none of the SARC and ULM samples. Additionally, next generation sequencing analysis revealed that all variant-positive tumors (n=4) with sample availability had additional pathogenic or likely pathogenic somatic variants in the TP53 coding regions. Among them, 3/4 (75 %) had the same pathogenic or likely pathogenic sequence variant (allele frequency <0.05 in tumor DNA) namely c.751A>C (p.Ile251Leu). Our results indicate a low somatic prevalence of rs78378222 in LUAD, ULM and SARC tumors from Brazilian patients, which suggests that no further analysis of this variant in the specific studied regions of Brazil is warranted. However, these findings should not exclude tumor molecular testing of this TP53 3'UTR functional variant for different populations.
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Affiliation(s)
- Igor Araujo Vieira
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade do Vale do Rio dos Sinos (UNISINOS), Escola de Saúde, São Leopoldo, RS, Brazil
| | - Guilherme Danielski Viola
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Eduarda Heidrich Pezzi
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Thayne Woycinck Kowalski
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul (UFRGS), Laboratório de Genética Médica e Populacional, Porto Alegre, RS, Brazil
- Instituto Nacional de Genética Médica Populacional (INAGEMP), Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Serviço de Genética Médica, Sistema Nacional de Informações sobre Agentes Teratogênicos (SIAT), Porto Alegre, RS, Brazil
- Complexo de Ensino Superior de Cachoeirinha (CESUCA), Cachoeirinha, RS, Brazil
| | - Bruna Vieira Fernandes
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Tiago Finger Andreis
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Natascha Bom
- Universidade do Vale do Rio dos Sinos (UNISINOS), Curso de Graduação em Biomedicina, São Leopoldo, RS, Brazil
| | - Giulianna Sonnenstrahl
- Universidade do Vale do Rio dos Sinos (UNISINOS), Curso de Graduação em Biomedicina, São Leopoldo, RS, Brazil
| | - Yasminne Marinho de Araújo Rocha
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Bruno da Silveira Corrêa
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Luiza Mezzomo Donatti
- Universidade Federal do Rio Grande do Sul, Instituto de Ciências Básicas da Saúde, Departamento de Fisiologia, Laboratório de Biologia Molecular Endócrino e Tumoral, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Biológicas: Fisiologia, Porto Alegre, RS, Brazil
| | - Gabriela dos Santos Sant’Anna
- Universidade Federal do Rio Grande do Sul, Instituto de Ciências Básicas da Saúde, Departamento de Fisiologia, Laboratório de Biologia Molecular Endócrino e Tumoral, Porto Alegre, RS, Brazil
| | - Helena von Eye Corleta
- Universidade Federal do Rio Grande do Sul, Instituto de Ciências Básicas da Saúde, Departamento de Fisiologia, Laboratório de Biologia Molecular Endócrino e Tumoral, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Serviço de Ginecologia e Obstetrícia, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Departamento de Ginecologia e Obstetrícia, Porto Alegre, RS, Brazil
| | - Ilma Simoni Brum
- Universidade Federal do Rio Grande do Sul, Instituto de Ciências Básicas da Saúde, Departamento de Fisiologia, Laboratório de Biologia Molecular Endócrino e Tumoral, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Biológicas: Fisiologia, Porto Alegre, RS, Brazil
| | - Clévia Rosset
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul (UFRGS), Programa de Pós-Graduação em Ciências Médicas: Medicina (PPGCM), Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Unidade de Pesquisa Laboratorial (UPL), Porto Alegre, RS, Brazil
| | - Fernanda Sales Luiz Vianna
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul (UFRGS), Laboratório de Genética Médica e Populacional, Porto Alegre, RS, Brazil
- Instituto Nacional de Genética Médica Populacional (INAGEMP), Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Serviço de Genética Médica, Sistema Nacional de Informações sobre Agentes Teratogênicos (SIAT), Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul (UFRGS), Programa de Pós-Graduação em Ciências Médicas: Medicina (PPGCM), Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Laboratório de Imunobiologia e Imunogenética, Porto Alegre, RS, Brazil
| | - Gabriel S. Macedo
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Programa de Medicina Personalizada, Porto Alegre, RS, Brazil
| | - Edenir Inez Palmero
- Instituto Nacional de Câncer (INCA), Departamento de Genética, Rio de Janeiro, RJ, Brazil
- Hospital de Câncer de Barretos, Centro de Pesquisa em Oncologia Molecular, Barretos, SP, Brazil
| | - Patricia Ashton-Prolla
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul (UFRGS), Programa de Pós-Graduação em Ciências Médicas: Medicina (PPGCM), Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre (HCPA), Programa de Medicina Personalizada, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Porto Alegre, RS, Brazil
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3
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Wu WYY, Dahlin AM, Wibom C, Björkblom B, Melin B. Prediagnostic biomarkers for early detection of glioma—using case–control studies from cohorts as study approach. Neurooncol Adv 2022; 4:ii73-ii80. [PMID: 36380862 PMCID: PMC9650466 DOI: 10.1093/noajnl/vdac036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Understanding the trajectory and development of disease is important and the knowledge can be used to find novel targets for therapy and new diagnostic tools for early diagnosis. Methods Large cohorts from different parts of the world are unique assets for research as they have systematically collected plasma and DNA over long-time periods in healthy individuals, sometimes even with repeated samples. Over time, the population in the cohort are diagnosed with many different diseases, including brain tumors. Results Recent studies have detected genetic variants that are associated with increased risk of glioblastoma and lower grade gliomas specifically. The impact for genetic markers to predict disease in a healthy population has been deemed low, and a relevant question is if the genetic variants for glioma are associated with risk of disease or partly consist of genes associated to survival. Both metabolite and protein spectra are currently being explored for early detection of cancer. Conclusions We here present a focused review of studies of genetic variants, metabolomics, and proteomics studied in prediagnostic glioma samples and discuss their potential in early diagnostics.
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Affiliation(s)
- Wendy Yi-Ying Wu
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | - Anna M Dahlin
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | | | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
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4
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Zhou J, Lai M, Ni Y, Li S, Zhen J, Du F, Zhang X, Song C, Cai L. Case Report: Clinicopathological and Genetic Features of IDH-Mutant Brainstem Glioma in Adults: Report of Five Cases. PATHOLOGY AND ONCOLOGY RESEARCH 2022; 28:1610408. [PMID: 35991838 PMCID: PMC9385964 DOI: 10.3389/pore.2022.1610408] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022]
Abstract
Adult brainstem gliomas are rare central nervous system tumors that represent a heterogeneous group of tumors. Somatic IDH mutations are uncommon in adult brainstem gliomas and there are few relevant clinical studies. Here, we reported five patients with IDH1 mutations associated with brainstem gliomas, including four cases of IDH1 R132H mutations and one case of R132G mutation. All patients were treated with focal intensity-modulated radiation therapy (IMRT) with concurrent temozolomide (TMZ). One patient died, one relapsed, and three survived to date. All these cases carried a pathogenic variant of TP53, among whom 1 harbored ATRX mutation and 1 had H3K27M mutation. Moreover, we also found some genes related to a worse prognosis, such as CDK4/6 amplification. These findings demonstrate that the specific characteristics of IDH-mutant brainstem gliomas should be considered in diagnostic workflows to make therapeutic regimens and improve the prognosis.
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Affiliation(s)
- Jiangfen Zhou
- Department of Neuro-Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Mingyao Lai
- Department of Neuro-Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Yang Ni
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Shaoqun Li
- Department of Neuro-Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Junjie Zhen
- Department of Neuro-Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Furong Du
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Xing Zhang
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Chao Song
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- *Correspondence: Chao Song, ; Linbo Cai,
| | - Linbo Cai
- Department of Neuro-Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
- *Correspondence: Chao Song, ; Linbo Cai,
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5
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Carlos-Escalante JA, Gómez-Flores-Ramos L, Bian X, Perdomo-Pantoja A, de Andrade KC, Mejía-Pérez SI, Cacho-Díaz B, González-Barrios R, Reynoso-Noverón N, Soto-Reyes E, Sánchez-Correa TE, Guerra-Calderas L, Yan C, Chen Q, Castro-Hernández C, Vidal-Millán S, Taja-Chayeb L, Gutiérrez O, Álvarez-Gómez RM, Gómez-Amador JL, Ostrosky-Wegman P, Mohar-Betancourt A, Herrera-Montalvo LA, Corona T, Meerzaman D, Wegman-Ostrosky T. Landscape of Germline Genetic Variants in AGT, MGMT, and TP53 in Mexican Adult Patients with Astrocytoma. Cell Mol Neurobiol 2021; 41:1285-1297. [PMID: 32535722 DOI: 10.1007/s10571-020-00901-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/06/2020] [Indexed: 12/20/2022]
Abstract
Astrocytoma is the most common type of primary brain tumor. The risk factors for astrocytoma are poorly understood; however, germline genetic variants account for 25% of the risk of developing gliomas. In this study, we assessed the risk of astrocytoma associated with variants in AGT, known by its role in angiogenesis, TP53, a well-known tumor suppressor and the DNA repair gene MGMT in a Mexican population. A case-control study was performed in 49 adult Mexican patients with grade II-IV astrocytoma. Sequencing of exons and untranslated regions of AGT, MGMT, and TP53 from was carried in an Ion Torrent platform. Individuals with Mexican Ancestry from the 1000 Genomes Project were used as controls. Variants found in our cohort were then assessed in a The Cancer Genome Atlas astrocytoma pan-ethnic validation cohort. Variants rs1926723 located in AGT (OR 2.74, 1.40-5.36 95% CI), rs7896488 in MGMT (OR 3.43, 1.17-10.10 95% CI), and rs4968187 in TP53 (OR 2.48, 1.26-4.88 95% CI) were significantly associated with the risk of astrocytoma after multiple-testing correction. This is the first study where the AGT rs1926723 variant, TP53 rs4968187, and MGMT rs7896488 were found to be associated with the risk of developing an astrocytoma.
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Affiliation(s)
| | | | - Xiaopeng Bian
- Computational Genomics and Bioinformatics Group, Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | | | - Kelvin César de Andrade
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Sonia Iliana Mejía-Pérez
- Departamento de Enseñanza, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", 13269, Mexico City, Mexico
- Departamento de Neurocirugía, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez", 14269, Mexico City, Mexico
| | - Bernardo Cacho-Díaz
- Unidad de Neurociencia, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | | | - Nancy Reynoso-Noverón
- Dirección de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Ernesto Soto-Reyes
- Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa, 05370, Mexico City, Mexico
| | - Thalía Estefanía Sánchez-Correa
- Departamento de Neurocirugía, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez", 14269, Mexico City, Mexico
| | - Lissania Guerra-Calderas
- Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa, 05370, Mexico City, Mexico
| | - Chunhua Yan
- Computational Genomics and Bioinformatics Group, Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Qingrong Chen
- Computational Genomics and Bioinformatics Group, Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Clementina Castro-Hernández
- Unidad de Epidemiología E Investigación Biomédica en Cáncer, Instituto de Investigaciones Biomédicas, UNAM-INCAN, 14080, Mexico City, Mexico
| | - Silvia Vidal-Millán
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Lucía Taja-Chayeb
- Dirección de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Olga Gutiérrez
- Dirección de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | | | - Juan Luis Gómez-Amador
- Departamento de Neurocirugía, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez", 14269, Mexico City, Mexico
| | - Patricia Ostrosky-Wegman
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Alejandro Mohar-Betancourt
- Unidad de Epidemiología E Investigación Biomédica en Cáncer, Instituto de Investigaciones Biomédicas, UNAM-INCAN, 14080, Mexico City, Mexico
| | - Luis Alonso Herrera-Montalvo
- Unidad de Epidemiología E Investigación Biomédica en Cáncer, Instituto de Investigaciones Biomédicas, UNAM-INCAN, 14080, Mexico City, Mexico
- Dirección General, Instituto Nacional de Medicina Genómica, 14610, Mexico City, Mexico
| | - Teresa Corona
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía, Manuel Velasco Suárez", 14269, Mexico City, Mexico
| | - Daoud Meerzaman
- Computational Genomics and Bioinformatics Group, Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, Rockville, MD, 20850, USA
| | - Talia Wegman-Ostrosky
- Dirección de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico.
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6
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Liu B, Liu Y, Zou J, Zou M, Cheng Z. Smoking is Associated with Lung Adenocarcinoma and Lung Squamous Cell Carcinoma Progression through Inducing Distinguishing lncRNA Alterations in Different Genders. Anticancer Agents Med Chem 2021; 22:1541-1550. [PMID: 34315392 DOI: 10.2174/1871520621666210727115147] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 06/08/2021] [Accepted: 06/21/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Smoking participates in pathogenesis of lung cancer. Long non-coding RNAs (lncRNAs) play some specific roles during development of lung cancers. OBJECTIVE To investigate effects of smoking on lncRNA alterations in lung cancer. METHODS There are 522 lung adenocarcinoma (LUAD) and 504 lung squamous cell carcinoma (LUSC) participants. Clinical and lncRNA genetic data were downloaded from The Cancer Genome Atlas (TCGA) database. LncRNA alterations were analyzed in lung cancer patients. Smoking category and packs were evaluated. Correlations between smoking and LncRNA alterations were analyzed. Kaplan-Meier analysis was performed to determine overall survival and disease free survival. RESULTS There are more non-smokers in LUSC than in LUAD. In both LUAD and LUSC, smoking could increase total mutation counts and fraction of copy number alterations. Smoking index positively correlated with total mutations in LUAD, but not in LUSC. Smoking could trigger lncRNA alterations both in LUAD and LUSC. Smoking regulated different lncRNA between male and female. EXOC3-AS1 and LINC00603 alterations were positively correlated with smoking index in male LUAD smokers. In female LUAD smokers, smoking index was positively correlated with SNHG15, TP53TG1 and LINC01600 and negatively with LINC00609 and PTCSC3. In both male and female LUSC patients, smoking increased or decreased several lncRNA alterations. DGCR5 alteration increased in male LUSC than in female LUSC patients. In female LUSC patients, LOH12CR2 alteration was positively correlated with smoking index. CONCLUSIONS Smoking promoted LUAD and LUSC development by affecting different lncRNA alterations in different genders.
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Affiliation(s)
- Bing Liu
- Department of Respiratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Yuan Liu
- Department of Respiratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Jingfeng Zou
- Department of Respiratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Menglin Zou
- Department of Respiratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Zhenshun Cheng
- Department of Respiratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
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7
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CAMTA1, a novel antitumor gene, regulates proliferation and the cell cycle in glioma by inhibiting AKT phosphorylation. Cell Signal 2020; 79:109882. [PMID: 33316386 DOI: 10.1016/j.cellsig.2020.109882] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 12/19/2022]
Abstract
Identifying biomarkers for the early diagnosis of glioma and elucidating the molecular mechanisms underlying the development of this cancer are of considerable clinical importance. Recently, studies performing microarray profiling of genes to identify distinct gene signatures reported specific subtypes with predictive and prognostic relevance. Thus, we performed deep sequencing on a total of 26 glioma tissue samples to identify the frequently mutated of oncogenes and tumor suppressors in gliomas. A total of 2306 single-nucleotide polymorphisms (SNPs) and 2010 insertion and deletion sites (indels) were found by aligning sequencing information from 26 glioma samples with sequences from the normal human gene database (GRCh37/hg19). GSEA results suggest that an underexpressed gene, calmodulin binding transcription activator 1 (CAMTA1), participates in the cell proliferation and cell cycle regulation of glioma cells. Moreover, overexpression of CAMTA1 in glioma cells notably inhibited cell growth, migration, invasion and cell cycle and enhanced temozolomide (TMZ)-induced cell apoptosis in glioma cells, while CAMTA1 overexpression decreased the ITGA5, ITGB1, p-AKT, p-FAK, and Myc protein levels, suggesting that the signaling pathways of these proteins might be involved in the cellular functions of CAMTA1 in glioma. Moreover, overexpression of CAMTA1 attenuated the growth and tumorigenesis of glioma in vivo. In summary, we identified high-frequency mutant genes in glioma and provided an experimental basis for a novel mechanism by which CAMTA1 may serve as a tumor suppressor in glioma.
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8
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Voropaeva EN, Orlov YL, Pospelova TI, Gurageva AA, Voevoda MI, Maksimov VN, Seregina OB, Churkina MI. The rs78378222 prevalence and the copy loss of the protective allele A in the tumor tissue of diffuse large B-cell lymphoma. PeerJ 2020; 8:e10335. [PMID: 33240649 PMCID: PMC7666812 DOI: 10.7717/peerj.10335] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 10/19/2020] [Indexed: 12/22/2022] Open
Abstract
Background Rare single nucleotide polymorphisms (SNPs) are likely to be a crucial genetic factor for human diseases, including cancer. rs78378222 is rare SNP in 3′-untranslated region (UTR) of TP53 gene leading to disturbance of 3′-end mRNA processing. The frequency of rs78378222 varies in several studied populations. The meta-analysis of 34 genome-wide association studies indicated that rs78378222 was significantly associated with an increased risk of cancer overall. Bioinformatic analysis indicates that somatic loss of the protective A allele of rs78378222 occurs in the tumor tissue of some malignant. The goal of the current study is to document the rs78378222 prevalence and evaluate the copy loss status of the protective allele A in the tumor tissue of patients with diffuse large B-cell lymphoma (DLBCL). Methods Total DNA was isolated from FFPE-samples and peripheral blood of patients with DLBCL and comparable in age and sex controls. rs78378222 genotyping was performed by the PCR-RFLP method using restriction endonuclease HindIII. Direct Sanger’s sequencing was used to confirm the presence of C allele of the rs78378222. The search for TP53 gene mutations was carried out by Sanger’s direct sequencing method, according to the IARC protocol. Results The result of genotyping of 136 DNA samples from DLBCL tumor tissue suggested that frequency of the rs78378222 was 11/136 (8.1%). Rare allele C frequency was 11/272 (4.2%). A total of 5/11 DLBCL rs78378222 heterozygous samples had the heterozygosity loss in the TP53 gene. Only one of these cases was combined with TP53 gene mutations which have proven oncogenic potential—p.Arg196Gln, other four cases have not mutations in the coding regions of gene. Conclusions At the stages of DLBCL initiation or progression a loss of the protective allele A of rs78378222 occurs. Further efforts are needed to study possible molecular mechanisms underlying somatic alterations in DLBCL in this region of the TP53 3′-UTR as well as functional studies to illustrate how the presents of rs78378222 may affect tumor progression of lymphoma.
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Affiliation(s)
- Elena N Voropaeva
- Research Institute of Internal and Preventive Medicine, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Yuriy L Orlov
- The Digital Health Institute, I.M. Sechenov First Moscow State Medical University, Moscow, Russia.,Novosibirsk State University, Novosibirsk, Russia
| | - Tatiana I Pospelova
- Novosibirsk State Medical University of the Ministry of Health of the Russian Federation, Novosibirsk, Russia
| | - Anna A Gurageva
- Research Institute of Internal and Preventive Medicine, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Mikhail I Voevoda
- Research Institute of Internal and Preventive Medicine, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Vladimir N Maksimov
- Research Institute of Internal and Preventive Medicine, Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Olga B Seregina
- Novosibirsk State Medical University of the Ministry of Health of the Russian Federation, Novosibirsk, Russia
| | - Maria I Churkina
- Novosibirsk State Medical University of the Ministry of Health of the Russian Federation, Novosibirsk, Russia
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9
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Raad S, Rolain M, Coutant S, Derambure C, Lanos R, Charbonnier F, Bou J, Bouvignies E, Lienard G, Vasseur S, Farrell M, Ingster O, Baert Desurmont S, Kasper E, Bougeard G, Frébourg T, Tournier I. Blood functional assay for rapid clinical interpretation of germline TP53 variants. J Med Genet 2020; 58:796-805. [PMID: 33051313 PMCID: PMC8639931 DOI: 10.1136/jmedgenet-2020-107059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 08/05/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND The interpretation of germline TP53 variants is critical to ensure appropriate medical management of patients with cancer and follow-up of variant carriers. This interpretation remains complex and is becoming a growing challenge considering the exponential increase in TP53 tests. We developed a functional assay directly performed on patients' blood. METHODS Peripheral blood mononuclear cells were cultured, activated, exposed to doxorubicin and the p53-mediated transcriptional response was quantified using reverse transcription-multiplex ligation probe amplification and RT-QMPSF assays, including 10 p53 targets selected from transcriptome analysis, and two amplicons to measure p53 mRNA levels. We applied this blood functional assay to 77 patients addressed for TP53 analysis. RESULTS In 51 wild-type TP53 individuals, the mean p53 functionality score was 12.7 (range 7.5-22.8). Among eight individuals harbouring likely pathogenic or pathogenic variants, the scores were reduced (mean 4.8, range 3.1-7.1), and p53 mRNA levels were reduced in patients harbouring truncating variants. We tested 14 rare unclassified variants (p.(Pro72His), p.(Gly105Asp), p.(Arg110His), p.(Phe134Leu), p.(Arg158Cys), p.(Pro191Arg), p.(Pro278Arg), p.(Arg283Cys), p.(Leu348Ser), p.(Asp352Tyr), p.(Gly108_Phe109delinsVal), p.(Asn131del), p.(Leu265del), c.-117G>T) and 12 yielded functionally abnormal scores. Remarkably, the assay revealed that the c.*1175A>C polymorphic variant within TP53 poly-adenylation site can impact p53 function with the same magnitude as a null variant, when present on both alleles, and may act as a modifying factor in pathogenic variant carriers. CONCLUSION This blood p53 assay should therefore be a useful tool for the rapid clinical classification of germline TP53 variants and detection of non-coding functional variants.
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Affiliation(s)
- Sabine Raad
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Marion Rolain
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Sophie Coutant
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Céline Derambure
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Raphael Lanos
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Françoise Charbonnier
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Jacqueline Bou
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Emilie Bouvignies
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Gwendoline Lienard
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Stéphanie Vasseur
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Michael Farrell
- Cancer Genetics Service, Mater Private Hospital, Dublin, Leinster, Ireland
| | - Olivier Ingster
- Department of Genetics, University Hospital Centre Angers, Angers, Pays de la Loire, France
| | - Stéphanie Baert Desurmont
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Edwige Kasper
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Gaëlle Bougeard
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Thierry Frébourg
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
| | - Isabelle Tournier
- Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F76000, Normandy Centre for Genomic and Personalized Medicine, University of Rouen Faculty of Medicine and Pharmacy, Rouen, France
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10
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The Genetic Architecture of Gliomagenesis-Genetic Risk Variants Linked to Specific Molecular Subtypes. Cancers (Basel) 2019; 11:cancers11122001. [PMID: 31842352 PMCID: PMC6966482 DOI: 10.3390/cancers11122001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/05/2019] [Accepted: 12/07/2019] [Indexed: 12/19/2022] Open
Abstract
Genome-wide association studies have identified 25 germline genetic loci that increase the risk of glioma. The somatic tumor molecular alterations, including IDH-mutation status and 1p/19q co-deletion, have been included into the WHO 2016 classification system for glioma. To investigate how the germline genetic risk variants correlate with the somatic molecular subtypes put forward by WHO, we performed a meta-analysis that combined findings from 330 Swedish cases and 876 controls with two other recent studies. In total, 5,103 cases and 10,915 controls were included. Three categories of associations were found. First, variants in TERT and TP53 were associated with increased risk of all glioma subtypes. Second, variants in CDKN2B-AS1, EGFR, and RTEL1 were associated with IDH-wildtype glioma. Third, variants in CCDC26 (the 8q24 locus), C2orf80 (close to IDH), LRIG1, PHLDB1, ETFA, MAML2 and ZBTB16 were associated with IDH-mutant glioma. We therefore propose three etiopathological pathways in gliomagenesis based on germline variants for future guidance of diagnosis and potential functional targets for therapies. Future prospective clinical trials of patients with suspicion of glioma diagnoses, using the genetic variants as biomarkers, are necessary to disentangle how strongly they can predict glioma diagnosis.
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11
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Deng Q, Hu H, Yu X, Liu S, Wang L, Chen W, Zhang C, Zeng Z, Cao Y, Xu-Monette ZY, Li L, Zhang M, Rosenfeld S, Bao S, Hsi E, Young KH, Lu Z, Li Y. Tissue-specific microRNA expression alters cancer susceptibility conferred by a TP53 noncoding variant. Nat Commun 2019; 10:5061. [PMID: 31699989 PMCID: PMC6838078 DOI: 10.1038/s41467-019-13002-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 10/16/2019] [Indexed: 12/15/2022] Open
Abstract
A noncoding polymorphism (rs78378222) in TP53, carried by scores of millions of people, was previously associated with moderate risk of brain tumors and other neoplasms. We find a positive association between this variant and soft tissue sarcoma. In sharp contrast, it is protective against breast cancer. We generated a mouse line carrying this variant and found that it accelerates spontaneous tumorigenesis and glioma development, but strikingly, delays mammary tumorigenesis. The variant creates a miR-382-5p targeting site and compromises a miR-325-3p site. Their differential expression results in p53 downregulation in the brain, but p53 upregulation in the mammary gland of polymorphic mice compared to that of wild-type littermates. Thus, this variant is at odds with Li-Fraumeni Syndrome mutants in breast cancer predisposition yet consistent in glioma predisposition. Our findings elucidate an underlying mechanism of cancer susceptibility that is conferred by genetic variation and yet altered by microRNA expression.
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Affiliation(s)
- Qipan Deng
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Hui Hu
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Medical Laboratory, Central Hospital of Wuhan, Wuhan, China
| | - Xinfang Yu
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Shuanglin Liu
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Lei Wang
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Weiqun Chen
- Department of Medical Laboratory, Central Hospital of Wuhan, Wuhan, China
| | - Chi Zhang
- Department of Medical Laboratory, Central Hospital of Wuhan, Wuhan, China
| | - Zhaoyang Zeng
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Key Laboratory of Carcinogenesis and Invasion, Ministry of Education, Xiangya Hospital; Cancer Research Institute, Xiangya School of Medicine, Central South University; Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Changsha, China
| | - Ya Cao
- Key Laboratory of Carcinogenesis and Invasion, Ministry of Education, Xiangya Hospital; Cancer Research Institute, Xiangya School of Medicine, Central South University; Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Changsha, China
| | - Zijun Y Xu-Monette
- Department of Pathology, Division of Hematopathology, Duke University Medical Center, Durham, NC, USA
| | - Ling Li
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University; Lymphoma Diagnosis and Treatment Center of Henan Province, Zhengzhou, China
| | - Mingzhi Zhang
- Department of Oncology, the First Affiliated Hospital of Zhengzhou University; Lymphoma Diagnosis and Treatment Center of Henan Province, Zhengzhou, China
| | - Steven Rosenfeld
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Shideng Bao
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Eric Hsi
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ken H Young
- Department of Pathology, Division of Hematopathology, Duke University Medical Center, Durham, NC, USA
| | - Zhongxin Lu
- Department of Medical Laboratory, Central Hospital of Wuhan, Wuhan, China.
| | - Yong Li
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA.
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
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12
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Kinnersley B, Houlston RS, Bondy ML. Genome-Wide Association Studies in Glioma. Cancer Epidemiol Biomarkers Prev 2018; 27:418-428. [PMID: 29382702 DOI: 10.1158/1055-9965.epi-17-1080] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 01/12/2018] [Accepted: 01/17/2018] [Indexed: 01/23/2023] Open
Abstract
Since the first reports in 2009, genome-wide association studies (GWAS) have been successful in identifying germline variants associated with glioma susceptibility. In this review, we describe a chronological history of glioma GWAS, culminating in the most recent study comprising 12,496 cases and 18,190 controls. We additionally summarize associations at the 27 glioma-risk SNPs that have been reported so far. Future efforts are likely to be principally focused on assessing association of germline-risk SNPs with particular molecular subgroups of glioma, as well as investigating the functional basis of the risk loci in tumor formation. These ongoing studies will be important to maximize the impact of research into glioma susceptibility, both in terms of insight into tumor etiology as well as opportunities for clinical translation. Cancer Epidemiol Biomarkers Prev; 27(4); 418-28. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Melissa L Bondy
- Department of Medicine, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
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13
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Zhao Y, Chen G, Yu H, Hu L, Bian Y, Yun D, Chen J, Mao Y, Chen H, Lu D. Development of risk prediction models for glioma based on genome-wide association study findings and comprehensive evaluation of predictive performances. Oncotarget 2016; 9:8311-8325. [PMID: 29492197 PMCID: PMC5823595 DOI: 10.18632/oncotarget.10882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Accepted: 06/29/2016] [Indexed: 12/17/2022] Open
Abstract
Over 14 common single nucleotide polymorphisms (SNP) have been consistently identified from genome-wide association studies (GWAS) as associated with glioma risk in European background. The extent to which and how these genetic variants can improve the prediction of glioma risk has was not been investigated. In this study, we employed three independent case-control datasets in Chinese populations, tested GWAS signals in dataset1, validated association results in dataset2, developed prediction models in dataset2 for the consistently replicated SNPs, refined the consistently replicated SNPs in dataset3 and developed tailored models for Chinese populations. For model construction, we aggregated the contribution of multiple SNPs into genetic risk scores (count GRS and weighed GRS) or predicted risks from logistic regression analyses (PRFLR). In dataset2, the area under receiver operating characteristic curves (AUC) of the 5 consistently replicated SNPs by PRFLR(SNPs) was 0.615, higher than those of all GRSs(ranging from 0.607 to 0.611, all P>0.05). The AUC of genetic profile significantly exceeded that of family history (fmc) alone (AUC=0.535, all P<0.001). The best model in our study comprised “PRURA +fmc” (AUC=0.646) in dataset3. Further model assessment analyses provided additional evidence. This study indicates that genetic markers have potential value for risk prediction of glioma.
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Affiliation(s)
- Yingjie Zhao
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Gong Chen
- Neurosurgery Department of Huashan Hospital, Fudan University, Shanghai, China
| | - Hongjie Yu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China.,Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, China
| | - Lingna Hu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Yunmeng Bian
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Dapeng Yun
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Juxiang Chen
- Department of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Ying Mao
- Neurosurgery Department of Huashan Hospital, Fudan University, Shanghai, China
| | - Hongyan Chen
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
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14
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Zhao Y, Li X, Zhu S. rs78378222 polymorphism in the 3′-untranslated region of TP53 contributes to development of age-associated cataracts by modifying microRNA-125b-induced apoptosis of lens epithelial cells. Mol Med Rep 2016; 14:2305-10. [DOI: 10.3892/mmr.2016.5465] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 04/29/2016] [Indexed: 11/05/2022] Open
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15
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Stracquadanio G, Wang X, Wallace M, Grawenda AM, Zhang P, Hewitt J, Zeron-Medina J, Castro-Giner F, Tomlinson IP, Goding CR, Cygan KJ, Fairbrother WG, Thomas LF, Sætrom P, Gemignani F, Landi S, Schuster-Boeckler B, Bell DA, Bond GL. The importance of p53 pathway genetics in inherited and somatic cancer genomes. Nat Rev Cancer 2016; 16:251-65. [PMID: 27009395 PMCID: PMC6854702 DOI: 10.1038/nrc.2016.15] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Decades of research have shown that mutations in the p53 stress response pathway affect the incidence of diverse cancers more than mutations in other pathways. However, most evidence is limited to somatic mutations and rare inherited mutations. Using newly abundant genomic data, we demonstrate that commonly inherited genetic variants in the p53 pathway also affect the incidence of a broad range of cancers more than variants in other pathways. The cancer-associated single nucleotide polymorphisms (SNPs) of the p53 pathway have strikingly similar genetic characteristics to well-studied p53 pathway cancer-causing somatic mutations. Our results enable insights into p53-mediated tumour suppression in humans and into p53 pathway-based cancer surveillance and treatment strategies.
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Affiliation(s)
- Giovanni Stracquadanio
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Xuting Wang
- Environmental Genomics Group, Genome Integrity and Structural Biology, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA
| | - Marsha Wallace
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Anna M. Grawenda
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Ping Zhang
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Juliet Hewitt
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Jorge Zeron-Medina
- Vall d’Hebron University Hospital, Oncology Department, Passeig de la Vall D’Hebron 119, 08035 Barcelona, Spain
| | - Francesc Castro-Giner
- Molecular and Population Genetics Laboratory, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Ian P. Tomlinson
- Molecular and Population Genetics Laboratory, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Colin R. Goding
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Kamil J. Cygan
- Center for Computational Molecular Biology, Brown University, 115 Waterman Street, Providence, RI 02912, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, 70 Ship Street, Providence, RI 02903, USA
| | - William G. Fairbrother
- Center for Computational Molecular Biology, Brown University, 115 Waterman Street, Providence, RI 02912, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, 70 Ship Street, Providence, RI 02903, USA
| | - Laurent F. Thomas
- Department of Cancer Research and Molecular Medicine, Norwegian, University of Science and Technology, NO-7491 Trondheim, Norway
| | - Pål Sætrom
- Department of Computer and Information Science, Norwegian, University of Science and Technology, NO-7491 Trondheim, Norway
- Department of Cancer Research and Molecular Medicine, Norwegian, University of Science and Technology, NO-7491 Trondheim, Norway
| | - Frederica Gemignani
- Genetics- Department of Biology, University of Pisa, Via Derna, 1, 56126 Pisa - Italy
| | - Stefano Landi
- Genetics- Department of Biology, University of Pisa, Via Derna, 1, 56126 Pisa - Italy
| | - Benjamin Schuster-Boeckler
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
| | - Douglas A. Bell
- Environmental Genomics Group, Genome Integrity and Structural Biology, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA
- Corresponding authors: . The Ludwig Institute for Cancer Research, The Nuffield Department of Clinical Medicine, The University of Oxford, Oxford, The United Kingdom. . Environmental Genomics Group, Genomic Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, MD C3-03, NIEHS, PO Box 12233, Research Triangle Park, NC 27709, The United States of America
| | - Gareth L. Bond
- Ludwig Institute for Cancer Research, University of Oxford, Nuffield Department of Clinical Medicine, Old Road Campus Research Building, Oxford OX3 7DQ, United Kingdom
- Corresponding authors: . The Ludwig Institute for Cancer Research, The Nuffield Department of Clinical Medicine, The University of Oxford, Oxford, The United Kingdom. . Environmental Genomics Group, Genomic Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, MD C3-03, NIEHS, PO Box 12233, Research Triangle Park, NC 27709, The United States of America
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16
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Krasnov GS, Dmitriev AA, Melnikova NV, Zaretsky AR, Nasedkina TV, Zasedatelev AS, Senchenko VN, Kudryavtseva AV. CrossHub: a tool for multi-way analysis of The Cancer Genome Atlas (TCGA) in the context of gene expression regulation mechanisms. Nucleic Acids Res 2016; 44:e62. [PMID: 26773058 PMCID: PMC4838350 DOI: 10.1093/nar/gkv1478] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 12/05/2015] [Indexed: 02/07/2023] Open
Abstract
The contribution of different mechanisms to the regulation of gene expression varies for different tissues and tumors. Complementation of predicted mRNA–miRNA and gene–transcription factor (TF) relationships with the results of expression correlation analyses derived for specific tumor types outlines the interactions with functional impact in the current biomaterial. We developed CrossHub software, which enables two-way identification of most possible TF–gene interactions: on the basis of ENCODE ChIP-Seq binding evidence or Jaspar prediction and co-expression according to the data of The Cancer Genome Atlas (TCGA) project, the largest cancer omics resource. Similarly, CrossHub identifies mRNA–miRNA pairs with predicted or validated binding sites (TargetScan, mirSVR, PicTar, DIANA microT, miRTarBase) and strong negative expression correlations. We observed partial consistency between ChIP-Seq or miRNA target predictions and gene–TF/miRNA co-expression, demonstrating a link between these indicators. Additionally, CrossHub expression-methylation correlation analysis can be used to identify hypermethylated CpG sites or regions with the greatest potential impact on gene expression. Thus, CrossHub is capable of outlining molecular portraits of a specific gene and determining the three most common sources of expression regulation: promoter/enhancer methylation, miRNA interference and TF-mediated activation or repression. CrossHub generates formatted Excel workbooks with the detailed results. CrossHub is freely available at https://sourceforge.net/projects/crosshub/.
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Affiliation(s)
- George S Krasnov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia N.N. Blokhin Russian Cancer Research Center, Moscow 115478, Russia Orekhovich Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Moscow 119121, Russia
| | - Alexey A Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia
| | - Nataliya V Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia
| | - Andrew R Zaretsky
- M.M. Shemyakin-Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Tatiana V Nasedkina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia N.N. Blokhin Russian Cancer Research Center, Moscow 115478, Russia
| | - Alexander S Zasedatelev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia N.N. Blokhin Russian Cancer Research Center, Moscow 115478, Russia
| | - Vera N Senchenko
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia
| | - Anna V Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia N.N. Blokhin Russian Cancer Research Center, Moscow 115478, Russia
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