1
|
Coetzee SG, Hazelett DJ. MotifbreakR v2: extended capability and database integration. ARXIV 2024:arXiv:2407.03441v1. [PMID: 39010878 PMCID: PMC11247919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
MotifbreakR is a software tool that scans genetic variants against position weight matrices of transcription factors (TF) to determine the potential for the disruption of TF binding at the site of the variant. It leverages the Bioconductor suite of software packages and annotations to operate across a diverse array of genomes and motif databases. Initially developed to interrogate the effect of single nucleotide variants (common and rare SNVs) on potential TF binding sites, in motifbreakR v2, we have updated the functionality. New features include the ability to query other types of more complex genetic variants, such as short insertions and deletions (indels). This function allows modeling a more extensive array of variants that may have more significant effects on TF binding. Additionally, while TF binding is based partly on sequence preference, predictions of TF binding based on sequence preference alone can indicate many more potential binding events than observed. Adding information from DNA-binding sequencing datasets lends confidence to motif disruption prediction by demonstrating TF binding in cell lines and tissue types. Therefore, motifbreakR implements querying the ReMap2022 database for evidence that a TF matching the disrupted motif binds over the disrupting variant. Finally, in motifbreakR, in addition to the existing interface, we have implemented an R/Shiny graphical user interface to simplify and enhance access to researchers with different skill sets.
Collapse
Affiliation(s)
- Simon G Coetzee
- Department of Computational Biomedicine at Cedars-Sinai Medical Center
| | - Dennis J Hazelett
- Department of Computational Biomedicine at Cedars-Sinai Medical Center
- Cancer Prevention and Control - Samuel Oschin Cancer Center, Cedars-Sinai
| |
Collapse
|
2
|
Iñiguez-Muñoz S, Llinàs-Arias P, Ensenyat-Mendez M, Bedoya-López AF, Orozco JIJ, Cortés J, Roy A, Forsberg-Nilsson K, DiNome ML, Marzese DM. Hidden secrets of the cancer genome: unlocking the impact of non-coding mutations in gene regulatory elements. Cell Mol Life Sci 2024; 81:274. [PMID: 38902506 PMCID: PMC11335195 DOI: 10.1007/s00018-024-05314-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/07/2023] [Accepted: 06/06/2024] [Indexed: 06/22/2024]
Abstract
Discoveries in the field of genomics have revealed that non-coding genomic regions are not merely "junk DNA", but rather comprise critical elements involved in gene expression. These gene regulatory elements (GREs) include enhancers, insulators, silencers, and gene promoters. Notably, new evidence shows how mutations within these regions substantially influence gene expression programs, especially in the context of cancer. Advances in high-throughput sequencing technologies have accelerated the identification of somatic and germline single nucleotide mutations in non-coding genomic regions. This review provides an overview of somatic and germline non-coding single nucleotide alterations affecting transcription factor binding sites in GREs, specifically involved in cancer biology. It also summarizes the technologies available for exploring GREs and the challenges associated with studying and characterizing non-coding single nucleotide mutations. Understanding the role of GRE alterations in cancer is essential for improving diagnostic and prognostic capabilities in the precision medicine era, leading to enhanced patient-centered clinical outcomes.
Collapse
Affiliation(s)
- Sandra Iñiguez-Muñoz
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Institut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Pere Llinàs-Arias
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Institut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Miquel Ensenyat-Mendez
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Institut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Andrés F Bedoya-López
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Institut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain
| | - Javier I J Orozco
- Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Javier Cortés
- International Breast Cancer Center (IBCC), Pangaea Oncology, Quiron Group, 08017, Barcelona, Spain
- Medica Scientia Innovation Research SL (MEDSIR), 08018, Barcelona, Spain
- Faculty of Biomedical and Health Sciences, Department of Medicine, Universidad Europea de Madrid, 28670, Madrid, Spain
| | - Ananya Roy
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Karin Forsberg-Nilsson
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- University of Nottingham Biodiscovery Institute, Nottingham, UK
| | - Maggie L DiNome
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Diego M Marzese
- Cancer Epigenetics Laboratory at the Cancer Cell Biology Group, Institut d'Investigació Sanitària Illes Balears (IdISBa), Palma, Spain.
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA.
| |
Collapse
|
3
|
Dareng EO, Coetzee SG, Tyrer JP, Peng PC, Rosenow W, Chen S, Davis BD, Dezem FS, Seo JH, Nameki R, Reyes AL, Aben KKH, Anton-Culver H, Antonenkova NN, Aravantinos G, Bandera EV, Beane Freeman LE, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bolton KL, Brenton JD, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock SJ, Chen K, Chenevix-Trench G, Chiew YE, Cook LS, DeFazio A, Dennis J, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles DM, Ene G, Fasching PA, Flanagan JM, Fortner RT, Fostira F, Gentry-Maharaj A, Giles GG, Goodman MT, Gronwald J, Haiman CA, Håkansson N, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huang RY, Jensen A, Jones ME, Kang D, Karlan BY, Karnezis AN, Kelemen LE, Kennedy CJ, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Larson MC, Le ND, Lester J, Li L, Lubiński J, Lush M, Marks JR, Matsuo K, May T, McLaughlin JR, McNeish IA, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro AN, Moysich KB, Narod SA, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret NC, Park SK, Pejovic T, Permuth JB, Piskorz A, Prokofyeva D, Riggan MJ, Risch HA, Rodríguez-Antona C, Rossing MA, Sandler DP, Setiawan VW, Shan K, Song H, Southey MC, Steed H, Sutphen R, Swerdlow AJ, Teo SH, Terry KL, Thompson PJ, Vestrheim Thomsen LC, Titus L, Trabert B, Travis R, Tworoger SS, Valen E, Van Nieuwenhuysen E, Edwards DV, Vierkant RA, Webb PM, Weinberg CR, Weise RM, Wentzensen N, White E, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode EL, Huntsman DG, Pearce CL, Ramus SJ, Sellers TA, Freedman ML, Lawrenson K, Schildkraut JM, Hazelett D, Plummer JT, Kar S, Jones MR, Pharoah PDP, Gayther SA. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. Am J Hum Genet 2024; 111:1061-1083. [PMID: 38723632 PMCID: PMC11179261 DOI: 10.1016/j.ajhg.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10-8) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10-5). Fine mapping identified 4,008 CCVs in these regions, of which 1,452 CCVs were located in ovarian cancer-related chromatin marks with significant enrichment in active enhancers, active promoters, and active regions for CCVs from each EOC histotype. Transcriptome-wide association and colocalization analyses across histotypes using tissue-specific and cross-tissue datasets identified 86 candidate susceptibility genes in known EOC risk regions and 32 genes in 23 additional genomic regions that may represent novel EOC risk loci (false discovery rate <0.05). Finally, by integrating genome-wide HiChIP interactome analysis with transcriptome-wide association study (TWAS), variant effect predictor, transcription factor ChIP-seq, and motifbreakR data, we identified candidate gene-CCV interactions at each locus. This included risk loci where TWAS identified one or more candidate susceptibility genes (e.g., HOXD-AS2, HOXD8, and HOXD3 at 2q31) and other loci where no candidate gene was identified (e.g., MYC and PVT1 at 8q24) by TWAS. In summary, this study describes a functional framework and provides a greater understanding of the biological significance of risk alleles and candidate gene targets at EOC susceptibility loci identified by a genome-wide association study.
Collapse
Affiliation(s)
- Eileen O Dareng
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Simon G Coetzee
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Pei-Chen Peng
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Will Rosenow
- 3Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Stephanie Chen
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Brian D Davis
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Felipe Segato Dezem
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Robbin Nameki
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alberto L Reyes
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Katja K H Aben
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California, Irvine, Irvine, CA, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | | | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Javier Benitez
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain; Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Marcus Q Bernardini
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - Line Bjorge
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany; Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Kelly L Bolton
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, MO, USA
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Agnieszka Budzilowska
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Ralf Butzow
- Department of Pathology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Center, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Rikki Cannioto
- Cancer Pathology & Prevention, Division of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kexin Chen
- Department of Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Yoke-Eng Chiew
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia
| | - Linda S Cook
- Epidemiology, School of Public Health, University of Colorado, Aurora, CO, USA; Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Anna DeFazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia; The Daffodil Centre, a joint venture with Cancer Council NSW, The University of Sydney, Sydney, NSW, Australia
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jennifer A Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Andreas du Bois
- Department of Gynecology and Gynecological Oncology; HSK, Dr. Horst-Schmidt Klinik, Wiesbaden, Wiesbaden, Germany; Department of Gynecology and Gynecologic Oncology, Evangelische Kliniken Essen-Mitte (KEM), Essen, Germany
| | - Matthias Dürst
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Gabrielle Ene
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - James M Flanagan
- Division of Cancer and Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Marc T Goodman
- Cancer Prevention and Control Program, Cedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Florian Heitz
- Department of Gynecology and Gynecological Oncology; HSK, Dr. Horst-Schmidt Klinik, Wiesbaden, Wiesbaden, Germany; Department of Gynecology and Gynecologic Oncology, Evangelische Kliniken Essen-Mitte (KEM), Essen, Germany; Center for Pathology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | | | - Estrid Høgdall
- Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Claus K Høgdall
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ruea-Yea Huang
- Center For Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Beth Y Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Anthony N Karnezis
- Department of Pathology and Laboratory Medicine, UC Davis Medical Center, Sacramento, CA, USA
| | - Linda E Kelemen
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Catherine J Kennedy
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia; The University of Sydney, Sydney, NSW, Australia
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Susanne K Kjaer
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Marilyne Labrie
- Department of Immunology and Cell Biology, FMSS - Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Melissa C Larson
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Nhu D Le
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Lian Li
- Department of Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jeffrey R Marks
- Department of Surgery, Duke University Hospital, Durham, NC, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Taymaa May
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - John R McLaughlin
- Public Health Ontario, Samuel Lunenfeld Research Institute, Toronto, ON, 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, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Stacey Missmer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesmary Modugno
- Women's Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Melissa Moffitt
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Steven A Narod
- Women's College Research Institute, University of Toronto, Toronto, ON, Canada
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Kunle Odunsi
- University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA; Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA
| | - Håkan Olsson
- Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Utrecht, UMC Utrecht, Utrecht, the Netherlands
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Tanja Pejovic
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Anna Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Darya Prokofyeva
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Marjorie J Riggan
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Harvey A Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Cristina Rodríguez-Antona
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain; Hereditary Endocrine Cancer Group, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - V Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kang Shan
- Department of Obstetrics and Gynaecology, Hebei Medical University, Fourth Hospital, Shijiazhuang, China
| | - Honglin Song
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Helen Steed
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alberta, Edmonton, AB, Canada; Section of Gynecologic Oncology Surgery, Alberta Health Services, North Zone, Edmonton, AB, Canada
| | - Rebecca Sutphen
- Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Kathryn L Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gyneoclogy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Pamela J Thompson
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Liv Cecilie Vestrheim 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
| | - Linda Titus
- Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ruth Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Ellen Valen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Els Van Nieuwenhuysen
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Leuven Cancer Institute, Leuven, Belgium
| | - Digna Velez Edwards
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Women's Health Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A Vierkant
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Penelope M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Rayna Matsuno Weise
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Emily White
- Department of Epidemiology, University of Washington, Seattle, WA, USA; Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stacey J Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Yin-Ling Woo
- Department of Obstetrics and Gynaecology, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Li Yan
- Department of Molecular Biology, Hebei Medical University, Fourth Hospital, Shijiazhuang, China
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Nur Zeinomar
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California, Irvine, Irvine, CA, USA
| | - Andrew Berchuck
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Ellen L Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - David G Huntsman
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada; Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Celeste L Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Susan J Ramus
- School of Women's and Children's Health, Faculty of Medicine and Health, University of NSW Sydney, Sydney, NSW, Australia; Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, NSW, Australia
| | | | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kate Lawrenson
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dennis Hazelett
- Samuel Oschin Comprehensive Cancer Institute, The Center for Bioinformatics and Functional Biology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jasmine T Plummer
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Section of Translational Epidemiology, Division of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Michelle R Jones
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul D P Pharoah
- 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.
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
4
|
Antontseva EV, Degtyareva AO, Korbolina EE, Damarov IS, Merkulova TI. Human-genome single nucleotide polymorphisms affecting transcription factor binding and their role in pathogenesis. Vavilovskii Zhurnal Genet Selektsii 2023; 27:662-675. [PMID: 37965371 PMCID: PMC10641029 DOI: 10.18699/vjgb-23-77] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/24/2023] [Accepted: 03/30/2023] [Indexed: 11/16/2023] Open
Abstract
Single nucleotide polymorphisms (SNPs) are the most common type of variation in the human genome. The vast majority of SNPs identified in the human genome do not have any effect on the phenotype; however, some can lead to changes in the function of a gene or the level of its expression. Most SNPs associated with certain traits or pathologies are mapped to regulatory regions of the genome and affect gene expression by changing transcription factor binding sites. In recent decades, substantial effort has been invested in searching for such regulatory SNPs (rSNPs) and understanding the mechanisms by which they lead to phenotypic differences, primarily to individual differences in susceptibility to diseases and in sensitivity to drugs. The development of the NGS (next-generation sequencing) technology has contributed not only to the identification of a huge number of SNPs and to the search for their association (genome-wide association studies, GWASs) with certain diseases or phenotypic manifestations, but also to the development of more productive approaches to their functional annotation. It should be noted that the presence of an association does not allow one to identify a functional, truly disease-associated DNA sequence variant among multiple marker SNPs that are detected due to linkage disequilibrium. Moreover, determination of associations of genetic variants with a disease does not provide information about the functionality of these variants, which is necessary to elucidate the molecular mechanisms of the development of pathology and to design effective methods for its treatment and prevention. In this regard, the functional analysis of SNPs annotated in the GWAS catalog, both at the genome-wide level and at the level of individual SNPs, became especially relevant in recent years. A genome-wide search for potential rSNPs is possible without any prior knowledge of their association with a trait. Thus, mapping expression quantitative trait loci (eQTLs) makes it possible to identify an SNP for which - among transcriptomes of homozygotes and heterozygotes for its various alleles - there are differences in the expression level of certain genes, which can be located at various distances from the SNP. To predict rSNPs, approaches based on searches for allele-specific events in RNA-seq, ChIP-seq, DNase-seq, ATAC-seq, MPRA, and other data are also used. Nonetheless, for a more complete functional annotation of such rSNPs, it is necessary to establish their association with a trait, in particular, with a predisposition to a certain pathology or sensitivity to drugs. Thus, approaches to finding SNPs important for the development of a trait can be categorized into two groups: (1) starting from data on an association of SNPs with a certain trait, (2) starting from the determination of allele-specific changes at the molecular level (in a transcriptome or regulome). Only comprehensive use of strategically different approaches can considerably enrich our knowledge about the role of genetic determinants in the molecular mechanisms of trait formation, including predisposition to multifactorial diseases.
Collapse
Affiliation(s)
- E V Antontseva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A O Degtyareva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E E Korbolina
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - I S Damarov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - T I Merkulova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| |
Collapse
|
5
|
Fabo T, Khavari P. Functional characterization of human genomic variation linked to polygenic diseases. Trends Genet 2023; 39:462-490. [PMID: 36997428 PMCID: PMC11025698 DOI: 10.1016/j.tig.2023.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/30/2023]
Abstract
The burden of human disease lies predominantly in polygenic diseases. Since the early 2000s, genome-wide association studies (GWAS) have identified genetic variants and loci associated with complex traits. These have ranged from variants in coding sequences to mutations in regulatory regions, such as promoters and enhancers, as well as mutations affecting mediators of mRNA stability and other downstream regulators, such as 5' and 3'-untranslated regions (UTRs), long noncoding RNA (lncRNA), and miRNA. Recent research advances in genetics have utilized a combination of computational techniques, high-throughput in vitro and in vivo screening modalities, and precise genome editing to impute the function of diverse classes of genetic variants identified through GWAS. In this review, we highlight the vastness of genomic variants associated with polygenic disease risk and address recent advances in how genetic tools can be used to functionally characterize them.
Collapse
Affiliation(s)
- Tania Fabo
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Paul Khavari
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
| |
Collapse
|
6
|
Quintela M, James DW, Garcia J, Edwards K, Margarit L, Das N, Lutchman-Singh K, Beynon AL, Rioja I, Prinjha RK, Harker NR, Gonzalez D, Steven Conlan R, Francis LW. In silico enhancer mining reveals SNS-032 and EHMT2 inhibitors as therapeutic candidates in high-grade serous ovarian cancer. Br J Cancer 2023:10.1038/s41416-023-02274-2. [PMID: 37120667 DOI: 10.1038/s41416-023-02274-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/29/2023] [Accepted: 04/06/2023] [Indexed: 05/01/2023] Open
Abstract
BACKGROUND Epigenomic dysregulation has been linked to solid tumour malignancies, including ovarian cancers. Profiling of re-programmed enhancer locations associated with disease has the potential to improve stratification and thus therapeutic choices. Ovarian cancers are subdivided into histological subtypes that have significant molecular and clinical differences, with high-grade serous carcinoma representing the most common and aggressive subtype. METHODS We interrogated the enhancer landscape(s) of normal ovary and subtype-specific ovarian cancer states using publicly available data. With an initial focus on H3K27ac histone mark, we developed a computational pipeline to predict drug compound activity based on epigenomic stratification. Lastly, we substantiated our predictions in vitro using patient-derived clinical samples and cell lines. RESULTS Using our in silico approach, we highlighted recurrent and privative enhancer landscapes and identified the differential enrichment of a total of 164 transcription factors involved in 201 protein complexes across the subtypes. We pinpointed SNS-032 and EHMT2 inhibitors BIX-01294 and UNC0646 as therapeutic candidates in high-grade serous carcinoma, as well as probed the efficacy of specific inhibitors in vitro. CONCLUSION Here, we report the first attempt to exploit ovarian cancer epigenomic landscapes for drug discovery. This computational pipeline holds enormous potential for translating epigenomic profiling into therapeutic leads.
Collapse
Affiliation(s)
- Marcos Quintela
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - David W James
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - Jetzabel Garcia
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - Kadie Edwards
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - Lavinia Margarit
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
- Cwm Taf Morgannwg University Health Board, Swansea, SA2 8QA, UK
| | - Nagindra Das
- Swansea Bay University Health Board, Swansea, SA12 7BR, UK
| | | | | | - Inmaculada Rioja
- Immunology Research Unit, GlaxoSmithKline, Medicines Research Centre, Stevenage, SG1 2NY, UK
| | - Rab K Prinjha
- Immunology Research Unit, GlaxoSmithKline, Medicines Research Centre, Stevenage, SG1 2NY, UK
| | - Nicola R Harker
- Immunology Research Unit, GlaxoSmithKline, Medicines Research Centre, Stevenage, SG1 2NY, UK
| | - Deyarina Gonzalez
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - R Steven Conlan
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK
| | - Lewis W Francis
- Swansea University Medical School, Swansea University, Swansea, SA2 8PP, UK.
| |
Collapse
|
7
|
Zieger HK, Weinhold L, Schmidt A, Holtgrewe M, Juranek SA, Siewert A, Scheer AB, Thieme F, Mangold E, Ishorst N, Brand FU, Welzenbach J, Beule D, Paeschke K, Krawitz PM, Ludwig KU. Prioritization of non-coding elements involved in non-syndromic cleft lip with/without cleft palate through genome-wide analysis of de novo mutations. HGG ADVANCES 2023; 4:100166. [PMID: 36589413 PMCID: PMC9795529 DOI: 10.1016/j.xhgg.2022.100166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Non-syndromic cleft lip with/without cleft palate (nsCL/P) is a highly heritable facial disorder. To date, systematic investigations of the contribution of rare variants in non-coding regions to nsCL/P etiology are sparse. Here, we re-analyzed available whole-genome sequence (WGS) data from 211 European case-parent trios with nsCL/P and identified 13,522 de novo mutations (DNMs) in nsCL/P cases, 13,055 of which mapped to non-coding regions. We integrated these data with DNMs from a reference cohort, with results of previous genome-wide association studies (GWASs), and functional and epigenetic datasets of relevance to embryonic facial development. A significant enrichment of nsCL/P DNMs was observed at two GWAS risk loci (4q28.1 (p = 8 × 10-4) and 2p21 (p = 0.02)), suggesting a convergence of both common and rare variants at these loci. We also mapped the DNMs to 810 position weight matrices indicative of transcription factor (TF) binding, and quantified the effect of the allelic changes in silico. This revealed a nominally significant overrepresentation of DNMs (p = 0.037), and a stronger effect on binding strength, for DNMs located in the sequence of the core binding region of the TF Musculin (MSC). Notably, MSC is involved in facial muscle development, together with a set of nsCL/P genes located at GWAS loci. Supported by additional results from single-cell transcriptomic data and molecular binding assays, this suggests that variation in MSC binding sites contributes to nsCL/P etiology. Our study describes a set of approaches that can be applied to increase the added value of WGS data.
Collapse
Affiliation(s)
- Hanna K. Zieger
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Leonie Weinhold
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn 53127, Germany
| | - Axel Schmidt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Manuel Holtgrewe
- Core Unit Bioinformatics, Berlin Institute of Health, Berlin 10117, Germany
| | - Stefan A. Juranek
- Department of Oncology, Hematology and Rheumatology, University Hospital Bonn, Bonn 53127, Germany
| | - Anna Siewert
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Annika B. Scheer
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Frederic Thieme
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Elisabeth Mangold
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Nina Ishorst
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Fabian U. Brand
- Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn 53127, Germany
| | - Julia Welzenbach
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berlin Institute of Health, Berlin 10117, Germany
- Max Delbrück Center for Molecular Medicine, Berlin 13125, Germany
| | - Katrin Paeschke
- Department of Oncology, Hematology and Rheumatology, University Hospital Bonn, Bonn 53127, Germany
| | - Peter M. Krawitz
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn 53127, Germany
| | - Kerstin U. Ludwig
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany
| |
Collapse
|
8
|
DeVries AA, Dennis J, Tyrer JP, Peng PC, Coetzee SG, Reyes AL, Plummer JT, Davis BD, Chen SS, Dezem FS, Aben KKH, Anton-Culver H, Antonenkova NN, Beckmann MW, Beeghly-Fadiel A, Berchuck A, Bogdanova NV, Bogdanova-Markov N, Brenton JD, Butzow R, Campbell I, Chang-Claude J, Chenevix-Trench G, Cook LS, DeFazio A, Doherty JA, Dörk T, Eccles DM, Eliassen AH, Fasching PA, Fortner RT, Giles GG, Goode EL, Goodman MT, Gronwald J, Håkansson N, Hildebrandt MAT, Huff C, Huntsman DG, Jensen A, Kar S, Karlan BY, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Le ND, Lubiński J, May T, Menon U, Milne RL, Modugno F, Monteiro AN, Moysich KB, Odunsi K, Olsson H, Pearce CL, Pejovic T, Ramus SJ, Riboli E, Riggan MJ, Romieu I, Sandler DP, Schildkraut JM, Setiawan VW, Sieh W, Song H, Sutphen R, Terry KL, Thompson PJ, Titus L, Tworoger SS, Van Nieuwenhuysen E, Edwards DV, Webb PM, Wentzensen N, Whittemore AS, Wolk A, Wu AH, Ziogas A, Freedman ML, Lawrenson K, Pharoah PDP, Easton DF, Gayther SA, Jones MR. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci. J Natl Cancer Inst 2022; 114:1533-1544. [PMID: 36210504 PMCID: PMC9949586 DOI: 10.1093/jnci/djac160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/13/2022] [Accepted: 08/18/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. METHODS Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types. RESULTS We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.
Collapse
Grants
- P01 CA017054 NCI NIH HHS
- N01 CN025403 NCI NIH HHS
- UM1 CA176726 NCI NIH HHS
- R01 CA058860 NCI NIH HHS
- P50 CA105009 NCI NIH HHS
- R01-CA122443 NIH HHS
- 076113 Wellcome Trust
- G0401527 Medical Research Council
- U19-CA148112 NCI NIH HHS
- P50 CA136393 NCI NIH HHS
- C490/A10119 C490/A10124 Cancer Research UK
- 1000143 Medical Research Council
- R01-CA54419 NIH HHS
- C8221/A19170 Cancer Research UK
- R01 CA049449 NCI NIH HHS
- P50 CA159981 NCI NIH HHS
- T32 GM118288 NIGMS NIH HHS
- CA1X01HG007491-01 NIH HHS
- Z01-ES044005 NIEHS NIH HHS
- R01 CA106414 NCI NIH HHS
- R01 CA095023 NCI NIH HHS
- N01 PC067010 NCI NIH HHS
- R01 CA058598 NCI NIH HHS
- U01 CA176726 NCI NIH HHS
- S10 RR025141 NCRR NIH HHS
- M01 RR000056 NCRR NIH HHS
- Department of Health
- 5T32GM118288-03 NIH HHS
- MR/N003284/1 Medical Research Council
- P30 CA014089 NCI NIH HHS
- K07-CA080668 NCI NIH HHS
- 14136 Cancer Research UK
- Worldwide Cancer Research
- MR_UU_12023 Medical Research Council
- R01 CA067262 NCI NIH HHS
- UM1 CA186107 NCI NIH HHS
- P30 CA015083 NCI NIH HHS
- G1000143 Medical Research Council
- R01 CA076016 NCI NIH HHS
- NHGRI NIH HHS
- P01 CA087969 NCI NIH HHS
- R01- CA61107 NCI NIH HHS
- R01-CA58598 NIH HHS
- U19 CA148112 NCI NIH HHS
- ULTR000445 NCATS NIH HHS
- R03 CA115195 NCI NIH HHS
- Wellcome Trust
- Breast Cancer Now
- R01 CA160669 NCI NIH HHS
- R01-CA058860 NIH HHS
- MC_UU_00004/01 Medical Research Council
- C570/A16491 Cancer Research UK
- R01-CA76016 NIH HHS
- R01-CA106414-A2 NIH HHS
- 001 World Health Organization
- Z01 ES049033 Intramural NIH HHS
- R01 CA126841 NCI NIH HHS
- MR/M012190/1 Medical Research Council
- 209057 Wellcome Trust
- R03 CA113148 NCI NIH HHS
- R01 CA149429 NCI NIH HHS
- National Institute of General Medical Sciences
- National Institutes of Health
- CSMC Precision Health Initiative
- Tell Every Amazing Lady About Ovarian Cancer Louisa M. McGregor Ovarian Cancer Foundation
- Ovarian Cancer Research Fund thanks
- National Cancer Institute
- National Human Genome Research Institute
- Canadian Institutes of Health Research
- Ovarian Cancer Research Fund
- European Commission’s Seventh Framework Programme
- Army Medical Research and Materiel Command
- National Health & Medical Research Council of Australia
- Cancer Councils of New South Wales, Victoria, Queensland, South Australia and Tasmania and Cancer Foundation of Western Australia
- Ovarian Cancer Australia
- Peter MacCallum Foundation
- University of Erlangen-Nuremberg
- National Kankerplan
- Breast Cancer Now, Institute of Cancer Research
- National Center for Advancing Translational Sciences
- European Commission
- International Agency for Research on Cancer
- Danish Cancer Society
- Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale
- Institut National de la Santé et de la Recherche Médicale
- German Cancer Aid; German Cancer Research Center
- Federal Ministry of Education and Research
- Hellenic Health Foundation
- Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy
- National Research Council
- Dutch Ministry of Public Health, Welfare and Sports
- Netherlands Cancer Registry
- LK Research Funds
- Dutch Prevention Funds
- World Cancer Research Fund
- Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health
- Health Research Fund
- Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra
- Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten
- German Federal Ministry of Education and Research, Programme of Clinical Biomedical Research
- German Cancer Research Center
- Rudolf-Bartling Foundation
- Helsinki University Hospital Research Fund
- University of Pittsburgh School of Medicine Dean’s Faculty Advancement Award
- Department of Defense
- NCI
- Swedish Cancer Society, Swedish Research Council, Beta Kamprad Foundation
- Danish Cancer Society, Copenhagen
- Mayo Foundation
- Minnesota Ovarian Cancer Alliance
- Fred C. and Katherine B. Andersen Foundation
- VicHealth and Cancer Council Victoria, Cancer Council Victoria
- National Health and Medical Research Council of Australia
- NHMRC
- DOD Ovarian Cancer Research Program
- Moffitt Cancer Center
- Merck Pharmaceuticals
- Radboud University Medical Centre
- UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge
- National Institute of Environmental Health Sciences
- The Swedish Cancer Foundation
- the Swedish Research Council
- American Cancer Society
- Celma Mastry Ovarian Cancer Foundation
- Lon V Smith Foundation
- The Eve Appeal
- National Institute for Health Research University College London Hospitals Biomedical Research Centre
- California Cancer Research Program
- National Science Centre
- NIH
Collapse
Affiliation(s)
- Amber A DeVries
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joe Dennis
- 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 Oncology, University of Cambridge, Cambridge, UK
| | - Pei-Chen Peng
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Simon G Coetzee
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alberto L Reyes
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jasmine T Plummer
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Brian D Davis
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Stephanie S Chen
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Felipe Segato Dezem
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Katja K H Aben
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-European Metropolitan Region of Nuremberg, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Andrew Berchuck
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | | | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ralf Butzow
- Department of Pathology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Linda S Cook
- Epidemiology, School of Public Health, University of Colorado, Aurora, CO, USA
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - 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
- The Daffodil Centre, a joint venture with Cancer Council NSW, The University of Sydney, Sydney, New South Wales, Australia
| | - Jennifer A Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-European Metropolitan Region of Nuremberg, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Ellen L Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Marc T Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Chad Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David G Huntsman
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Allan Jensen
- Department of Lifestyle, Reproduction and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Siddhartha Kar
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Section of Translational Epidemiology, Division of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Beth Y Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Saint Petersburg State University, Saint Petersburg, Russia
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Susanne K Kjaer
- Department of Lifestyle, Reproduction and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Marilyne Labrie
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Nhu D Le
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Taymaa May
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, Ontario, Canada
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Francesmary Modugno
- Women's Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Kunle Odunsi
- Department of Oncology, University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA
- Department of Obstetrics and Gynecology, University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA
| | - Håkan Olsson
- Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - 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
| | - Tanja Pejovic
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA
| | - Susan J Ramus
- School of Women's and Children's Health, 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
| | | | - Marjorie J Riggan
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Isabelle Romieu
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - V Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Weiva Sieh
- Department of Population 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
| | - Honglin Song
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Rebecca Sutphen
- Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL, USA
| | - 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
| | - Pamela J Thompson
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Linda Titus
- Muskie School of Public Policy, Public Health, Portland, ME, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Els Van Nieuwenhuysen
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Leuven Cancer Institute, Leuven, Belgium
| | - Digna Velez Edwards
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Women's Health Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Penelope M Webb
- Population Health Department, 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 and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - 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
| | - Paul D P Pharoah
- 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
| | - 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
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michelle R Jones
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| |
Collapse
|
9
|
Nameki R, Shetty A, Dareng E, Tyrer J, Lin X, Pharoah P, Corona RI, Kar S, Lawrenson K. chromMAGMA: regulatory element-centric interrogation of risk variants. Life Sci Alliance 2022; 5:e202201446. [PMID: 35777959 PMCID: PMC9251535 DOI: 10.26508/lsa.202201446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 11/24/2022] Open
Abstract
Candidate causal risk variants from genome-wide association studies reside almost exclusively in noncoding regions of the genome and innovative approaches are necessary to understand their biological function. Multi-marker analysis of genomic annotation (MAGMA) is a widely used program that nominates candidate risk genes by mapping single-nucleotide polymorphism summary statistics from genome-wide association studies to gene bodies. We augmented MAGMA to create chromatin-MAGMA (chromMAGMA), a method to nominate candidate risk genes based on the presence of risk variants within noncoding regulatory elements (REs). We applied chromMAGMA to a genetic susceptibility dataset for epithelial ovarian cancer (EOC), a rare gynecologic malignancy characterized by high mortality. This identified 155 unique candidate EOC risk genes across five EOC histotypes; 83% (105/127) of high-grade serous ovarian cancer risk genes had not previously been implicated in this EOC histotype. Risk genes nominated by chromMAGMA converged on mRNA splicing and transcriptional dysregulation pathways. chromMAGMA is a pipeline that nominates candidate risk genes through a gene regulation-focused approach and helps interpret the biological mechanism of noncoding risk variants for complex diseases.
Collapse
Affiliation(s)
- Robbin Nameki
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Anamay Shetty
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Eileen Dareng
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Tyrer
- 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
| | - Xianzhi Lin
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul Pharoah
- 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
| | - Rosario I Corona
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Siddhartha Kar
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Lawrenson
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Cancer Prevention and Control Program, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| |
Collapse
|
10
|
Shah S, Cheung A, Kutka M, Sheriff M, Boussios S. Epithelial Ovarian Cancer: Providing Evidence of Predisposition Genes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138113. [PMID: 35805770 PMCID: PMC9265838 DOI: 10.3390/ijerph19138113] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/28/2022] [Accepted: 06/30/2022] [Indexed: 12/19/2022]
Abstract
Epithelial ovarian cancer (EOC) is one of the cancers most influenced by hereditary factors. A fourth to a fifth of unselected EOC patients carry pathogenic variants (PVs) in a number of genes, the majority of which encode for proteins involved in DNA mismatch repair (MMR) pathways. PVs in BRCA1 and BRCA2 genes are responsible for a substantial fraction of hereditary EOC. In addition, PV genes involved in the MMR pathway account for 10–15% of hereditary EOC. The identification of women with homologous recombination (HR)-deficient EOCs has significant clinical implications, concerning chemotherapy regimen planning and development as well as the use of targeted therapies such as poly(ADP-ribose) polymerase (PARP) inhibitors. With several genes involved, the complexity of genetic testing increases. In this context, next-generation sequencing (NGS) allows testing for multiple genes simultaneously with a rapid turnaround time. In this review, we discuss the EOC risk assessment in the era of NGS.
Collapse
Affiliation(s)
- Sidrah Shah
- Department of Palliative Care, Guy’s and St Thomas’ Hospital, London SE1 9RT, UK;
| | - Alison Cheung
- Department of Hematology/Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK; (A.C.); (M.K.)
| | - Mikolaj Kutka
- Department of Hematology/Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK; (A.C.); (M.K.)
| | - Matin Sheriff
- Department of Urology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK;
| | - Stergios Boussios
- Department of Palliative Care, Guy’s and St Thomas’ Hospital, London SE1 9RT, UK;
- King’s College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London SE1 9RT, UK
- AELIA Organization, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece
- Correspondence: or or
| |
Collapse
|
11
|
Mortlock S, Corona RI, Kho PF, Pharoah P, Seo JH, Freedman ML, Gayther SA, Siedhoff MT, Rogers PAW, Leuchter R, Walsh CS, Cass I, Karlan BY, Rimel BJ, Montgomery GW, Lawrenson K, Kar SP. A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes. Cell Rep Med 2022; 3:100542. [PMID: 35492879 PMCID: PMC9040176 DOI: 10.1016/j.xcrm.2022.100542] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 12/13/2021] [Accepted: 01/29/2022] [Indexed: 11/27/2022]
Abstract
Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses, we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. We estimate a significant genetic correlation (rg) between endometriosis and clear cell (rg = 0.71), endometrioid (rg = 0.48), and high-grade serous (rg = 0.19) ovarian cancer, associations supported by Mendelian randomization analyses. Bivariate meta-analysis identified 28 loci associated with both endometriosis and EOC, including 19 with evidence for a shared underlying association signal. Differences in the shared risk suggest different underlying pathways may contribute to the relationship between endometriosis and the different histotypes. Functional annotation using transcriptomic and epigenomic profiles of relevant tissues/cells highlights several target genes. This comprehensive analysis reveals profound genetic overlap between endometriosis and EOC histotypes with valuable genomic targets for understanding the biological mechanisms linking the diseases. Endometriosis is genetically correlated with CCOC, ENOC, and HGSOC Genetic liability to endometriosis confers risk of these EOC histotypes Profound colocalization of genetic associations at endometriosis and EOC risk loci Functional annotation highlights shared target genes elucidating the genetic link
Collapse
Affiliation(s)
- Sally Mortlock
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Rosario I Corona
- Women's Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Pik Fang Kho
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN Cambridge, UK.,Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, CB1 8RN Cambridge, UK
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew T Siedhoff
- Division of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Peter A W Rogers
- University of Melbourne Department of Obstetrics and Gynaecology, and Gynaecology Research Centre, Royal Women's Hospital, Parkville, VIC 3052, Australia
| | - Ronald Leuchter
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christine S Walsh
- Department of Obstetrics and Gynecology, University of Colorado, Aurora, CO, USA
| | - Ilana Cass
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Beth Y Karlan
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - B J Rimel
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | - Grant W Montgomery
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Kate Lawrenson
- Women's Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Siddhartha P Kar
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN Bristol, UK
| |
Collapse
|
12
|
Leveraging Genomics, Transcriptomics, and Epigenomics to Understand the Biology and Chemoresistance of Ovarian Cancer. Cancers (Basel) 2021; 13:cancers13164029. [PMID: 34439181 PMCID: PMC8391219 DOI: 10.3390/cancers13164029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 12/31/2022] Open
Abstract
Ovarian cancer is a major cause of fatality due to a gynecological malignancy. This lethality is largely due to the unspecific clinical manifestations of ovarian cancer, which lead to late detection and to high resistance to conventional therapies based on platinum. In recent years, we have advanced our understanding of the mechanisms provoking tumor relapse, and the advent of so-called omics technologies has provided exceptional tools to evaluate molecular mechanisms leading to therapy resistance in ovarian cancer. Here, we review the contribution of genomics, transcriptomics, and epigenomics techniques to our knowledge about the biology and molecular features of ovarian cancers, with a focus on therapy resistance. The use of these technologies to identify molecular markers and mechanisms leading to chemoresistance in these tumors is discussed, as well as potential further applications.
Collapse
|
13
|
Korbolina EE, Bryzgalov LO, Ustrokhanova DZ, Postovalov SN, Poverin DV, Damarov IS, Merkulova TI. A Panel of rSNPs Demonstrating Allelic Asymmetry in Both ChIP-seq and RNA-seq Data and the Search for Their Phenotypic Outcomes through Analysis of DEGs. Int J Mol Sci 2021; 22:ijms22147240. [PMID: 34298860 PMCID: PMC8303726 DOI: 10.3390/ijms22147240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/24/2021] [Accepted: 06/30/2021] [Indexed: 12/12/2022] Open
Abstract
Currently, the detection of the allele asymmetry of gene expression from RNA-seq data or the transcription factor binding from ChIP-seq data is one of the approaches used to identify the functional genetic variants that can affect gene expression (regulatory SNPs or rSNPs). In this study, we searched for rSNPs using the data for human pulmonary arterial endothelial cells (PAECs) available from the Sequence Read Archive (SRA). Allele-asymmetric binding and expression events are analyzed in paired ChIP-seq data for H3K4me3 mark and RNA-seq data obtained for 19 individuals. Two statistical approaches, weighted z-scores and predicted probabilities, were used to improve the efficiency of finding rSNPs. In total, we identified 14,266 rSNPs associated with both allele-specific binding and expression. Among them, 645 rSNPs were associated with GWAS phenotypes; 4746 rSNPs were reported as eQTLs by GTEx, and 11,536 rSNPs were located in 374 candidate transcription factor binding motifs. Additionally, we searched for the rSNPs associated with gene expression using an SRA RNA-seq dataset for 281 clinically annotated human postmortem brain samples and detected eQTLs for 2505 rSNPs. Based on these results, we conducted Gene Ontology (GO), Disease Ontology (DO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and constructed the protein-protein interaction networks to represent the top-ranked biological processes with a possible contribution to the phenotypic outcome.
Collapse
Affiliation(s)
- Elena E. Korbolina
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 LavrentyevaProspekt, 630090 Novosibirsk, Russia; (L.O.B.); (I.S.D.); (T.I.M.)
- Correspondence:
| | - Leonid O. Bryzgalov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 LavrentyevaProspekt, 630090 Novosibirsk, Russia; (L.O.B.); (I.S.D.); (T.I.M.)
- VECTOR-BEST, PO BOX 492, 630117 Novosibirsk, Russia
| | - Diana Z. Ustrokhanova
- Department of Information Biology, The Novosibirsk State University, 1 Pirogovast, 630090 Novosibirsk, Russia;
| | - Sergey N. Postovalov
- Department of Theoretical and Applied Informatics, The Novosibirsk State Technical University, 630073 Novosibirsk, Russia; (S.N.P.); (D.V.P.)
| | - Dmitry V. Poverin
- Department of Theoretical and Applied Informatics, The Novosibirsk State Technical University, 630073 Novosibirsk, Russia; (S.N.P.); (D.V.P.)
| | - Igor S. Damarov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 LavrentyevaProspekt, 630090 Novosibirsk, Russia; (L.O.B.); (I.S.D.); (T.I.M.)
| | - Tatiana I. Merkulova
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 LavrentyevaProspekt, 630090 Novosibirsk, Russia; (L.O.B.); (I.S.D.); (T.I.M.)
- Department of Information Biology, The Novosibirsk State University, 1 Pirogovast, 630090 Novosibirsk, Russia;
| |
Collapse
|
14
|
Degtyareva AO, Antontseva EV, Merkulova TI. Regulatory SNPs: Altered Transcription Factor Binding Sites Implicated in Complex Traits and Diseases. Int J Mol Sci 2021; 22:6454. [PMID: 34208629 PMCID: PMC8235176 DOI: 10.3390/ijms22126454] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/15/2021] [Accepted: 06/15/2021] [Indexed: 12/19/2022] Open
Abstract
The vast majority of the genetic variants (mainly SNPs) associated with various human traits and diseases map to a noncoding part of the genome and are enriched in its regulatory compartment, suggesting that many causal variants may affect gene expression. The leading mechanism of action of these SNPs consists in the alterations in the transcription factor binding via creation or disruption of transcription factor binding sites (TFBSs) or some change in the affinity of these regulatory proteins to their cognate sites. In this review, we first focus on the history of the discovery of regulatory SNPs (rSNPs) and systematized description of the existing methodical approaches to their study. Then, we brief the recent comprehensive examples of rSNPs studied from the discovery of the changes in the TFBS sequence as a result of a nucleotide substitution to identification of its effect on the target gene expression and, eventually, to phenotype. We also describe state-of-the-art genome-wide approaches to identification of regulatory variants, including both making molecular sense of genome-wide association studies (GWAS) and the alternative approaches the primary goal of which is to determine the functionality of genetic variants. Among these approaches, special attention is paid to expression quantitative trait loci (eQTLs) analysis and the search for allele-specific events in RNA-seq (ASE events) as well as in ChIP-seq, DNase-seq, and ATAC-seq (ASB events) data.
Collapse
Affiliation(s)
- Arina O. Degtyareva
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
| | - Elena V. Antontseva
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
| | - Tatiana I. Merkulova
- Department of Molecular Genetic, Institute of Cytology and Genetics, 630090 Novosibirsk, Russia; (A.O.D.); (E.V.A.)
- Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia
| |
Collapse
|
15
|
Han X, Lu Y, Li X, Xia L, Wen H, Feng Z, Ju X, Chen X, Wu X. Overexpression of NPTX2 Promotes Malignant Phenotype of Epithelial Ovarian Carcinoma via IL6-JAK2/STAT3 Signaling Pathway Under Hypoxia. Front Oncol 2021; 11:643986. [PMID: 33768003 PMCID: PMC7985451 DOI: 10.3389/fonc.2021.643986] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 01/25/2021] [Indexed: 01/14/2023] Open
Abstract
Background Epithelial ovarian cancer (EOC) is the main subtype of ovarian cancer and shows an aggressive phenotype and poor prognosis. Neuronal pentraxin II (NPTX2) is a member of the neuronal pentraxin family and plays a contradictory role in different tumors. However, there has been no report about the possible role and effect of NPTX2 in EOC. Methods Bioinformatics analysis, qPCR, western blotting and immunohistochemistry were used to detect the expression of NPTX2 in EOC. Lentivirus-based transfection for NPTX2 overexpression or knockdown was performed on the EOC cell lines A2780, HEY, SKOV3 and OVCAR-3. The effect of NPTX2 on the malignant phenotype of EOC was examined through methods of MTS assay, Edu assay, transwell assay, western blotting analysis, qPCR analysis, luciferase reporter assay and xenograft experiment. Results EOC tissues showed higher NPTX2 expression than the normal tissues with poor prognosis. NPTX2 overexpression can promote the proliferation, invasion, migration and tumorigenesis of EOC via IL6-JAK2/STAT3 signaling pathway. Moreover, hypoxia-inducible factor-1(HIF-1) can promote the transcription and expression of NPTX2 under the hypoxic environment. NPTX2 knockdown abolished the hypoxia-induced malignant phenotypes in ECO. Conclusions The above results suggest that NPTX2 may play a novel role in ovarian cancer's malignant phenotype and act as a promising treatment target for EOC molecular therapy.
Collapse
Affiliation(s)
- Xiaotian Han
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yechen Lu
- Wound Repair Center, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Xiaoqi Li
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lingfang Xia
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hao Wen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zheng Feng
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xingzhu Ju
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaojun Chen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaohua Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|