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Yi H, Zhang N, Huang J, Zheng Y, Hong QH, Sundquist J, Sundquist K, Zheng X, Ji J. Association of levonorgestrel-releasing intrauterine device with gynecologic and breast cancers: a national cohort study in Sweden. Am J Obstet Gynecol 2024; 231:450.e1-450.e12. [PMID: 38759709 DOI: 10.1016/j.ajog.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND The levonorgestrel-releasing intrauterine device (LNG-IUD) is widely used for the treatment of menorrhagia, dysmenorrhea, and for contraception. However, the association between the use of LNG-IUD and the risk of site-specific gynecologic and breast cancers remains inconclusive. OBJECTIVE We aim to address this knowledge gap by investigating whether the use of LNG-IUD is associated with a significant risk of site-specific gynecologic and breast cancers. This will be achieved by accessing the nationwide Swedish Registers, with consideration given to the influence and potential interaction of family history of cancer. STUDY DESIGN A total of 514,719 women aged 18 to 50 years who have used LNG-IUD between July 2005 and December 2018 were identified from the Swedish Prescribed Drug Register and randomly matched with 1,544,157 comparisons who did not use LNG-IUD at a ratio of 1:3. The propensity score was calculated and matched among women who used LNG-IUD and the matched comparisons. The follow-up period started from the date of the first prescription of LNG-IUD for users as well as for their matched comparisons and ended at the date of diagnosis of gynecologic and breast cancers, date of death from any cause, and the end of the study period, whichever came first. The Cox proportional hazard model with a competing risk analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Additive interaction was calculated as the relative excess risk for interaction, while multiplicative interaction was calculated by including a product term in the regression model. RESULTS The use of LNG-IUD was associated with a 13% higher risk of breast cancer (adjusted HR, 1.13; 95% CI, 1.10-1.17), a 33% lower risk of endometrial cancer (adjusted HR, 0.67; 95% CI, 0.56-0.80), a 14% lower risk of ovarian cancer (adjusted HR, 0.86; 95% CI, 0.75-0.99), and a 9% reduced risk of cervical cancer (adjusted HR, 0.91; 95% CI, 0.84-0.99) compared to women who did not use LNG-IUD. A significant additive interaction between LNG-IUD use and family history of cancer was observed in breast cancer, indicating a relative 19% excess risk for interaction (P<.002), and 1.63 additional cases per 10,000 person-years. CONCLUSION The risk of gynecologic and breast cancers exhibits a site-specific effect among LNG-IUD users. It is important to note that the observed effect is small for breast cancer and the results are limited by the observational study design. Clinical recommendations regarding the use of LNG-IUD should carefully weigh its potential benefits and risks. Close monitoring is advisable for the potential development of breast cancer, particularly among women with a family history of breast cancer.
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Affiliation(s)
- Huan Yi
- Department of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmo, Sweden; Fujian Province Key Clinical Specialty for Gynecology, Fujian Key Laboratory of Women and Children's Critical Diseases Research, National Key Gynecology Clinical Specialty Construction Institution of China, Fuzhou, Fujian, China.
| | - Naiqi Zhang
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - Jimiao Huang
- Department of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
| | - Ying Zheng
- Department of Obstetrics, Fuzhou Second Hospital, Fuzhou, Fujian, China
| | - Qiu Hua Hong
- Department of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China
| | - Jan Sundquist
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmo, Sweden; Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Functional Pathology, Center for Community-Based Healthcare Research and Education (CoHRE), School of Medicine, Shimane University, Japan; University Clinic Primary Care Skåne, Region Skåne, Malmo, Sweden
| | - Kristina Sundquist
- Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmo, Sweden; Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Functional Pathology, Center for Community-Based Healthcare Research and Education (CoHRE), School of Medicine, Shimane University, Japan; University Clinic Primary Care Skåne, Region Skåne, Malmo, Sweden
| | - Xiangqin Zheng
- Department of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Fujian Province Key Clinical Specialty for Gynecology, Fujian Key Laboratory of Women and Children's Critical Diseases Research, National Key Gynecology Clinical Specialty Construction Institution of China, Fuzhou, Fujian, China.
| | - Jianguang Ji
- Department of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Malmo, Sweden.
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Tang S, Zheng F, Chen K, Niu Y, Fu Z, Wu Y, Xia D, Lu W. Novel scoring system incorporating lipoproteins to predict outcomes of epithelial ovarian cancer patients. Int J Gynecol Cancer 2024:ijgc-2024-005768. [PMID: 39244206 DOI: 10.1136/ijgc-2024-005768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2024] Open
Abstract
OBJECTIVE Epithelial ovarian cancer is the most lethal gynecological malignancy worldwide. While common prognostic factors are identified, the impact of serum lipoproteins remains controversial. This retrospective cohort study aims to investigate the association between specific lipoprotein levels and prognosis. METHODS Clinical data of 420 participants with epithelial ovarian cancer registered at Women's Hospital, School of Medicine, Zhejiang University, between January 2014 and April 2021 were included. Cox regression analyses and Kaplan-Meier methods were used to assess prognosis, estimated by hazard ratio (HR) with 95% confidence interval (CI). A novel prognostic model incorporating lipoproteins was developed for evaluating the prognosis. Meta-analysis was applied to assess the impact of low density lipoprotein cholesterol (LDL-C) on prognosis. RESULTS Among 420 patients, those in advanced stages exhibited higher low density lipoprotein cholesterol (LDL-C) (p=0.008) and lower high density lipoprotein cholesterol (HDL-C) levels (p<0.001), with no significant differences in total cholesterol or triglyceride levels. Elevated LDL-C level was significantly associated with worse overall survival (HR 1.72; 95% CI 1.15 to 2.58; p=0.010) and progression free survival (HR 1.94; 95% CI 1.46 to 2.58; p<0.001), whereas higher HDL-C level was linked to better overall survival (HR 0.56; 95% CI 0.37 to 0.85; p=0.004) and progression free survival (HR 0.61; 95% CI 0.46 to 0.81; p<0.001). A novel prognostic model, low density lipoprotein cholesterol-high density lipoprotein cholesterol-fibrinogen-lactate dehydrogenase-prealbumin-Fe-stage (LH-FLPFS), was established to enhance prognostic predictive efficacy. The meta-analysis further suggested that higher LDL-C level was associated with worse overall survival (HR 1.82; 95% CI 1.39 to 2.38; p<0.001). CONCLUSIONS In this study, preoperative LDL-C and HDL-C levels emerged as potential prognostic factors for ovarian cancer. Establishment of a novel prognostic model, LH-FLPFS, holds promise for significantly improving prognostic predictive efficacy.
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Affiliation(s)
- Song Tang
- Department of Gynecologic Oncology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Fang Zheng
- Department of Gynecology and Obstetrics, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kelie Chen
- Department of Gynecology and Obstetrics, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yizhen Niu
- Department of Gynecologic Oncology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Zhiqin Fu
- Department of Gynecology and Obstetrics, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yihua Wu
- Department of Gynecologic Oncology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
- Department of Toxicology of School of Public Health, Zhejiang University, Hangzhou, China
| | - Dajing Xia
- Department of Gynecologic Oncology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
- Department of Toxicology of School of Public Health, Zhejiang University, Hangzhou, China
| | - Weiguo Lu
- Department of Gynecologic Oncology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
- Zhejiang Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Zhejiang University, Hangzhou, China
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3
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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.
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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.
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Wang T, Wang X, Wu J, Li X. Causal relationship between thyroid dysfunction and ovarian cancer: a two-sample Mendelian randomization study. BMC Cancer 2024; 24:629. [PMID: 38783224 PMCID: PMC11112802 DOI: 10.1186/s12885-024-12385-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
PURPOSE Observational studies and clinical validation have suggested a link between thyroid dysfunction and an elevated ovarian cancer (OC) risk. However, whether this association indicates a cause-and-effect relationship remains uncertain. We aimed to investigate the plausible causal impact of thyroid dysfunction on OC through a Mendelian randomization (MR) study. METHODS Genome-wide association study (GWAS) data for thyrotropin (TSH), free thyroxine (FT4), hypothyroidism, and hyperthyroidism were obtained as exposures and those for OC (N = 199,741) were selected as outcomes. Inverse variance-weighted method was used as the main estimation method. A series of sensitivity analyses, including Cochran's Q test, MR-Egger intercept analysis, forest plot scatter plot, and leave-one-out test, was conducted to assess the robustness of the estimates. RESULTS Genetic prediction of hyperthyroidism was associated with a potential increase in OC risk (odds ratio = 1.094, 95% confidence interval: 1.029-1.164, p = 0.004). However, no evidence of causal effects of hypothyroidism, TSH, and FT4 on OC or reverse causality was detected. Sensitivity analyses demonstrated consistent and reliable results, with no significant estimates of heterogeneity or pleiotropy. CONCLUSIONS This study employed MR to establish a correlation between hyperthyroidism and OC risk. By genetically predicting OC risk in patients with hyperthyroidism, our research suggests new insights for early prevention and intervention of OC.
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Affiliation(s)
- Tingting Wang
- Department of Gynecology, Women and Children's Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
| | - Xiaoqin Wang
- Department of Gynecology, Women and Children's Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China.
| | - Jun Wu
- Department of Gynecology, Women and Children's Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
| | - Xin Li
- Department of Gynecology, Women and Children's Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
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Saman S, Srivastava N, Yasir M, Chauhan I. A Comprehensive Review on Current Treatments and Challenges Involved in the Treatment of Ovarian Cancer. Curr Cancer Drug Targets 2024; 24:142-166. [PMID: 37642226 DOI: 10.2174/1568009623666230811093139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/13/2023] [Accepted: 03/31/2023] [Indexed: 08/31/2023]
Abstract
Ovarian cancer (OC) is the second most common gynaecological malignancy. It typically affects females over the age of 50, and since 75% of cases are only discovered at stage III or IV, this is a sign of a poor diagnosis. Despite intraperitoneal chemotherapy's chemosensitivity, most patients relapse and face death. Early detection is difficult, but treatment is also difficult due to the route of administration, resistance to therapy with recurrence, and the need for precise cancer targeting to minimize cytotoxicity and adverse effects. On the other hand, undergoing debulking surgery becomes challenging, and therapy with many chemotherapeutic medications has manifested resistance, a condition known as multidrug resistance (MDR). Although there are other therapeutic options for ovarian cancer, this article solely focuses on co-delivery techniques, which work via diverse pathways to overcome cancer cell resistance. Different pathways contribute to MDR development in ovarian cancer; however, usually, pump and non-pump mechanisms are involved. Striking cancerous cells from several angles is important to defeat MDR. Nanocarriers are known to bypass the drug efflux pump found on cellular membranes to hit the pump mechanism. Nanocarriers aid in the treatment of ovarian cancer by enhancing the delivery of chemotherapeutic drugs to the tumour sites through passive or active targeting, thereby reducing unfavorable side effects on the healthy tissues. Additionally, the enhanced permeability and retention (EPR) mechanism boosts the bioavailability of the tumour site. To address the shortcomings of conventional delivery, the current review attempts to explain the current conventional treatment with special reference to passively and actively targeted drug delivery systems (DDSs) towards specific receptors developed to treat ovarian cancer. In conclusion, tailored nanocarriers would optimize medication delivery into the intracellular compartment before optimizing intra-tumour distribution. Other novel treatment possibilities for ovarian cancer include tumour vaccines, gene therapy, targeting epigenetic alteration, and biologically targeted compounds. These characteristics might enhance the therapeutic efficacy.
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Affiliation(s)
- Saika Saman
- Department of Pharmaceutics, Faculty of Pharmacy, Amity Institute of Pharmacy, Lucknow, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India
| | - Nimisha Srivastava
- Department of Pharmaceutics, Faculty of Pharmacy, Amity Institute of Pharmacy, Lucknow, Amity University Uttar Pradesh, Sector 125, Noida, 201313, India
| | - Mohd Yasir
- Department of Pharmacy (Pharmaceutics), College of Health Sciences, Arsi University, Asella, Ethiopia
| | - Iti Chauhan
- Department of Pharmacy, I.T.S College of Pharmacy, Muradnagar, Ghaziabad, India
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Horackova K, Janatova M, Kleiblova P, Kleibl Z, Soukupova J. Early-Onset Ovarian Cancer <30 Years: What Do We Know about Its Genetic Predisposition? Int J Mol Sci 2023; 24:17020. [PMID: 38069345 PMCID: PMC10707471 DOI: 10.3390/ijms242317020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
Ovarian cancer (OC) is one of the leading causes of cancer-related deaths in women. Most patients are diagnosed with advanced epithelial OC in their late 60s, and early-onset adult OC diagnosed ≤30 years is rare, accounting for less than 5% of all OC cases. The most significant risk factor for OC development are germline pathogenic/likely pathogenic variants (GPVs) in OC predisposition genes (including BRCA1, BRCA2, BRIP1, RAD51C, RAD51D, Lynch syndrome genes, or BRIP1), which contribute to the development of over 20% of all OC cases. GPVs in BRCA1/BRCA2 are the most prevalent. The presence of a GPV directs tailored cancer risk-reducing strategies for OC patients and their relatives. Identification of OC patients with GPVs can also have therapeutic consequences. Despite the general assumption that early cancer onset indicates higher involvement of hereditary cancer predisposition, the presence of GPVs in early-onset OC is rare (<10% of patients), and their heritability is uncertain. This review summarizes the current knowledge on the genetic predisposition to early-onset OC, with a special focus on epithelial OC, and suggests other alternative genetic factors (digenic, oligogenic, polygenic heritability, genetic mosaicism, imprinting, etc.) that may influence the development of early-onset OC in adult women lacking GPVs in known OC predisposition genes.
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Affiliation(s)
- Klara Horackova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
| | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic
| | - Zdenek Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, 128 00 Prague, Czech Republic
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 128 00 Prague, Czech Republic; (K.H.); (M.J.); (P.K.); (Z.K.)
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Flaum N, Bowes J, Smith MJ, Crosbie EJ, Edmondson R, Lophatananon A, Evans DG. Optimization of polygenic risk scores in BRCA1/2 pathogenic variant heterozygotes in epithelial ovarian cancer. Genet Med 2023; 25:100898. [PMID: 37212253 DOI: 10.1016/j.gim.2023.100898] [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: 12/21/2022] [Revised: 05/16/2023] [Accepted: 05/16/2023] [Indexed: 05/23/2023] Open
Abstract
PURPOSE A third of familial epithelial ovarian cancer (EOC) is explained by BRCA1/2 pathogenic variants. Polygenic risk scores (PRSs) for BRCA1/2 heterozygotes associated with EOC have been created, but impact of combination with clinical and hormonal risk factors is unclear. METHODS We genotyped 300 cases and 355 controls and constructed modified PRSs based on those validated by Barnes et al. Model discrimination and EOC risk was assessed by area under the curve (AUC) values and difference between lowest and highest quintile odds ratios (ORs). We investigated model optimization using logistic regression to combine models with clinical and hormonal data. RESULTS Unadjusted AUC values ranged from 0.526 to 0.551 with 2.2- to 2.3-fold increase in OR between lowest and highest quintiles (BRCA1 heterozygotes) and 0.574 to 0.585 AUC values with a 6.3- to 7.7-fold increase (BRCA2 heterozygotes). The optimized model (parity, age at menarche, menopause, and first full-term pregnancy) estimated AUC values of 0.872 to 0.876 and 21- to 23-fold increase in OR (BRCA1 heterozygotes) and AUC values of 0.857 to 0.867 and 40- to 41-fold increase (BRCA2 heterozygotes). CONCLUSION The combination of PRS with age, family history, and hormonal factors significantly improved the EOC risk discrimination ability. However, the contribution of the PRS was small. Larger prospective studies are needed to assess if combined-PRS models could provide information to inform risk-reducing decisions.
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Affiliation(s)
- Nicola Flaum
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
| | - John Bowes
- Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Miriam J Smith
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom; Division of Gynaecology, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Richard Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom; Division of Gynaecology, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - D Gareth Evans
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom; Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, United Kingdom; The Christie NHS Foundation Trust, Manchester, United Kingdom; Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
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Kim JW, Kim S, Yang SY, Joung JG, Hwang S. T-Cell Receptor Repertoire Characteristics Associated with Prognostic Significance in High-Grade Serous Ovarian Carcinoma. Genes (Basel) 2023; 14:genes14040785. [PMID: 37107543 PMCID: PMC10137910 DOI: 10.3390/genes14040785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 04/29/2023] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) is a fatal gynecological malignancy. Somatic recombination occurring during T-cell receptor (TCR) development results in TCR diversity, and the TCR repertoire, thus produced, is associated with immune response. This study analyzed the difference in the TCR repertoire and their prognostic significance in 51 patients with HGSOC. The patient's clinical characteristics, gene expression pattern, TCR clonotypes, and degree of tumor-infiltrating leukocytes (TILs) were analyzed, and the patients were divided into groups depending on their recurrence pattern, tumor-infiltrating leukocyte (TIL) score, and homologous recombinant repair pathway deficiency (HRD)-associated mutations. The TCR repertoire was low in patients with recurrence and showed the expansion of eight TCR segments. Interestingly, a few genes correlated with the TCRs also showed a difference in expression according to the prognosis. Among them, seven genes were related to immune responses and KIAA1199 was up-regulated in ovarian cancer. Our study shows that the differences in the TCR repertoire in patients with ovarian cancer and their associated immune pathways could affect the prognosis of HGSOC.
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Affiliation(s)
- Ju-Won Kim
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Sewha Kim
- Department of Pathology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
- Department of Pathology, Korea Medical Institute, Seoul 03173, Republic of Korea
| | - So-Yun Yang
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
| | - Je-Gun Joung
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
- Institute for Biomedical Informatics, CHA University School of Medicine, Seongnam 13488, Republic of Korea
- CHA Future Medicine Research Institute, CHA Bundang Medical Center, Seongnam 13488, Republic of Korea
| | - Sohyun Hwang
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Republic of Korea
- Department of Pathology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea
- CHA Future Medicine Research Institute, CHA Bundang Medical Center, Seongnam 13488, Republic of Korea
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Barnard ME, Meeks H, Jarboe EA, Albro J, Camp NJ, Doherty JA. Familial risk of epithelial ovarian cancer after accounting for gynaecological surgery: a population-based study. J Med Genet 2023; 60:119-127. [PMID: 35534206 PMCID: PMC9643667 DOI: 10.1136/jmedgenet-2021-108402] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/14/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Uptake of risk-reducing surgery has increased among women at high risk of epithelial ovarian cancer. We sought to characterise familial risk of epithelial ovarian cancer histotypes in a population-based study after accounting for gynaecological surgeries, including bilateral oophorectomy. METHODS We compared risk of epithelial ovarian cancer in relatives of 3536 epithelial ovarian cancer cases diagnosed in 1966-2016 and relatives of 35 326 matched controls. We used Cox competing risk models, incorporating bilateral oophorectomy as a competing risk, to estimate the relative risk of ovarian cancer in first-degree (FDR), second-degree (SDR) and third-degree (TDR) relatives from 1966 to 2016. We also estimated relative risks in time periods before (1966-1994, 1995-2004) and after (2005-2016) formal recommendations were made for prophylactic oophorectomy among women with pathogenic variants in BRCA1/2. RESULTS The relative risks of epithelial ovarian cancer in FDRs, SDRs and TDRs of cases versus controls were 1.68 (95% CI 1.39 to 2.04), 1.51 (95% CI 1.30 to 1.75) and 1.34 (95% CI 1.20 to 1.48), respectively. Relative risks were greatest for high-grade serous, mucinous and 'other epithelial' histotypes. Relative risks were attenuated for case FDRs, but not for SDRs or TDRs, from 2005 onwards, consistent with the timing of recommendations for prophylactic surgery. CONCLUSION Familial risk of epithelial ovarian cancer extends to TDRs, especially for high-grade serous and mucinous histotypes. Distant relatives share genes but minimal environment, highlighting the importance of germline inherited genetics in ovarian cancer aetiology. Increased ovarian cancer risk in distant relatives has implications for counselling and recommendations for prophylactic surgeries that, from our data, appear only to reach FDRs.
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Affiliation(s)
- Mollie E Barnard
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Huong Meeks
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Elke A Jarboe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Departments of Pathology and Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, USA
| | - James Albro
- Intermountain Biorepository, Intermountain Healthcare, Salt Lake City, Utah, USA
- Department of Pathology, Intermountain Medical Center, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Nicola J Camp
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Jennifer A Doherty
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Departments of Population Health Sciences and Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, USA
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10
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Kotaniemi‐Talonen L, Pukkala E, Aittomäki K, Auranen A. Long-term risk of cancer among the first-degree relatives of epithelial ovarian cancer patients: A cohort study with 48 years of follow up. Acta Obstet Gynecol Scand 2023; 102:240-245. [PMID: 36645194 PMCID: PMC9951276 DOI: 10.1111/aogs.14504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/11/2022] [Accepted: 12/16/2022] [Indexed: 01/17/2023]
Abstract
INTRODUCTION The long-term risk of cancer among first-degree relatives of ovarian cancer patients, especially their offspring, is of apparent clinical importance. Risks caused by known inherited factors such as BRCA1 or BRCA2 pathogenic variants are well established, but these account for only about 15% of ovarian cancer cases. Less is known about the possible familial risks of sporadic ovarian cancers. MATERIAL AND METHODS Using registry data, we conducted a retrospective cohort study with a total of 6501 first-degree relatives of 559 epithelial ovarian cancer patients. We studied the occurrence of overall cancer and cancer in specific sites known or suspected to be associated with ovarian cancer (breast, cervix, colon, endometrium, lung and trachea, skin melanoma, ovary, pancreas, prostate, rectum, and stomach). RESULTS The overall number of cancers was not increased among the first-degree relatives of epithelial ovarian cancer patients during the up to 48 years of follow up. Among female relatives, the standardized incidence ratio for ovarian cancer was 1.92 (95% CI 1.27-2.79), mostly explained by a 2.30-fold (95% CI 1.46-3.45) risk among the patients' sisters. There was a decreasing trend in the standardized incidence ratio for ovarian cancer among patients' sisters by increasing age of the index patient. CONCLUSIONS In our study cohort, we did not observe an increase in the overall cancer risk among the first-degree relatives of epithelial ovarian cancer patients in comparison with the general population. The risk for ovarian cancer, however, was increased. Current recommendations suggest prophylactic removal of the fallopian tubes and ovaries only with identified inherited risk factors. Our results emphasize the role of genetic counseling and testing, particularly in young ovarian cancer patients and their close female relatives.
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Affiliation(s)
- Laura Kotaniemi‐Talonen
- Department of Obstetrics and GynecologyTampere University HospitalTampereFinland,Tays Cancer CentreTampere University HospitalTampereFinland,Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
| | - Eero Pukkala
- Finnish Cancer Registry—Institute for Statistical and Epidemiological Cancer ResearchHelsinkiFinland,Health Sciences Unit, Faculty of Social SciencesTampere UniversityTampereFinland
| | - Kristiina Aittomäki
- Department of Medical and Clinical GeneticsUniversity of HelsinkiHelsinkiFinland
| | - Annika Auranen
- Department of Obstetrics and GynecologyTampere University HospitalTampereFinland,Tays Cancer CentreTampere University HospitalTampereFinland,Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
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11
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Dite GS, Spaeth E, Murphy NM, Allman R. A combined clinical and genetic model for predicting risk of ovarian cancer. Eur J Cancer Prev 2023; 32:57-64. [PMID: 36503897 PMCID: PMC9746333 DOI: 10.1097/cej.0000000000000771] [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: 08/18/2022] [Accepted: 09/06/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Women with a family history of ovarian cancer or a pathogenic or likely pathogenic gene variant are at high risk of the disease, but very few women have these risk factors. We assessed whether a combined polygenic and clinical risk score could predict risk of ovarian cancer in population-based women who would otherwise be considered as being at average risk. METHODS We used the UK Biobank to conduct a prospective cohort study assessing the performance of 10-year ovarian cancer risks based on a polygenic risk score, a clinical risk score and a combined risk score. We used Cox regression to assess association, Harrell's C-index to assess discrimination and Poisson regression to assess calibration. RESULTS The combined risk model performed best and problems with calibration were overcome by recalibrating the model, which then had a hazard ratio per quintile of risk of 1.338 [95% confidence interval (CI), 1.152-1.553], a Harrell's C-index of 0.663 (95% CI, 0.629-0.698) and overall calibration of 1.000 (95% CI, 0.874-1.145). In the refined model with estimates based on the entire dataset, women in the top quintile of 10-year risk were at 1.387 (95% CI, 1.086-1.688) times increased risk, while women in the top quintile of full-lifetime risk were at 1.527 (95% CI, 1.187-1.866) times increased risk compared with the population. CONCLUSION Identification of women who are at high risk of ovarian cancer can allow healthcare providers and patients to engage in joint decision-making discussions around the risks and benefits of screening options or risk-reducing surgery.
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Affiliation(s)
| | - Erika Spaeth
- Phenogen Sciences Inc, Charlotte, North Carolina, USA
| | | | - Richard Allman
- Genetic Technologies Limited, Fitzroy, Victoria, Australia
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12
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Flaum N, Crosbie EJ, Edmondson R, Woodward ER, Lalloo F, Smith MJ, Schlecht H, Evans DG. High detection rate from genetic testing in BRCA-negative women with familial epithelial ovarian cancer. Genet Med 2022; 24:2578-2586. [PMID: 36169650 DOI: 10.1016/j.gim.2022.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Epithelial ovarian cancer (EOC) is associated with pathogenic variants (PVs) in homologous recombination and/or mismatch repair genes. We aimed to review the testing of women with familial EOC at our center. METHODS Women with familial EOC (≥2 EOC in family, including index case) referred to our center between 1993 and 2021 were included. Genetic testing (BRCA/Lynch syndrome screening, exome sequencing, panel testing, 100,000 Genome Project, and NIHR BioResource genome sequencing) and clinical demographic, diagnosis, and survival data were reviewed. RESULTS Of 277, 128 (46.2%) women were BRCA heterozygotes (BRCA1: 89, BRCA2: 39). The detection rate in BRCA-negative women was 21.8%; the most commonly affected gene was BRIP1 (5.9%). The non-BRCA detection rate was significantly higher in families with 2 affected members with EOC only (22.4%) than the families with ≥3 (11.1%) affected members (odds ratio = 9.9, 95% CI = 1.6-105.2, P = .0075). Overall, 112 different PVs in 12 homologous recombination/mismatch repair genes were detected in 150 of 277 (54.2%) unrelated women. CONCLUSION This is the largest report of women with familial EOC undergoing wider testing to date. One-fifth of BRCA-negative women were heterozygous for a PV in a potentially actionable gene. Wider genetic testing of women with familial EOC is essential to optimize their treatment and prevention of disease in family members.
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Affiliation(s)
- Nicola Flaum
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, United Kingdom.
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Uunited Kingdom; Division of Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Richard Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Uunited Kingdom; Division of Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Emma R Woodward
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Miriam J Smith
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, United Kingdom
| | - Helene Schlecht
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, United Kingdom
| | - D Gareth Evans
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, United Kingdom; North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, United Kingdom; Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, United Kingdom; The Christie NHS Foundation Trust, Manchester, United Kingdom; Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, United Kingdom
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13
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Main C, Chen X, Zhao M, Chamley LW, Chen Q. Understanding How Pregnancy Protects Against Ovarian and Endometrial Cancer Development: Fetal Antigens May Be Involved. Endocrinology 2022; 163:6675223. [PMID: 36004540 PMCID: PMC9574549 DOI: 10.1210/endocr/bqac141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Indexed: 11/19/2022]
Abstract
It is well known that many factors, including infertility, obesity, type 2 diabetes, and family history of cancer, increase the risk of developing endometrial and ovarian cancer. However, multiparous women are known to have a lower risk of developing either ovarian or endometrial cancer than nonparous women. The lack of ovulation and shifting of sex hormonal balance, with decreased estrogen levels and increased progesterone levels during pregnancy, has traditionally been thought to be the major contributor to this decreased risk. However, in reality, the mechanisms underlying this phenomenon are relatively unknown. Increasing evidence suggests that endocrine factors are unlikely to completely explain the protective effect of pregnancies, and that multiple other nonendocrine mechanisms including fetal antigens and the newly proposed dormant cells hypothesis may also be involved. In this review, we summarize recent evidence and describe the potential underlying mechanisms that may explain how pregnancy protects against the development of ovarian and endometrial cancers in women's later life.
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Affiliation(s)
- Claudia Main
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, The University of Auckland, Auckland 1141, New Zealand
| | - Xinyue Chen
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, The University of Auckland, Auckland 1141, New Zealand
| | - Min Zhao
- Department of Gynecological Cancer, Wuxi Maternity and Child Health Hospital Affiliated to Nanjing Medical University, Nanjing 214002, China
| | - Lawrence W Chamley
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, The University of Auckland, Auckland 1141, New Zealand
| | - Qi Chen
- Correspondence: Qi Chen, MD, PhD, Department of Obstetrics and Gynaecology, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand. ; or Min Zhao, MD, PhD, Department of Gynecological Cancer, Wuxi Maternity and Child Health Hospital Affiliated to Nanjing Medical University, China.
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14
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Liberto JM, Chen SY, Shih IM, Wang TH, Wang TL, Pisanic TR. Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review. Cancers (Basel) 2022; 14:2885. [PMID: 35740550 PMCID: PMC9221480 DOI: 10.3390/cancers14122885] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 02/04/2023] Open
Abstract
With a 5-year survival rate of less than 50%, ovarian high-grade serous carcinoma (HGSC) is one of the most highly aggressive gynecological malignancies affecting women today. The high mortality rate of HGSC is largely attributable to delays in diagnosis, as most patients remain undiagnosed until the late stages of -disease. There are currently no recommended screening tests for ovarian cancer and there thus remains an urgent need for new diagnostic methods, particularly those that can detect the disease at early stages when clinical intervention remains effective. While diagnostics for ovarian cancer share many of the same technical hurdles as for other cancer types, the low prevalence of the disease in the general population, coupled with a notable lack of sensitive and specific biomarkers, have made the development of a clinically useful screening strategy particularly challenging. Here, we present a detailed review of the overall landscape of ovarian cancer diagnostics, with emphasis on emerging methods that employ novel protein, genetic, epigenetic and imaging-based biomarkers and/or advanced diagnostic technologies for the noninvasive detection of HGSC, particularly in women at high risk due to germline mutations such as BRCA1/2. Lastly, we discuss the translational potential of these approaches for achieving a clinically implementable solution for screening and diagnostics of early-stage ovarian cancer as a means of ultimately improving patient outcomes in both the general and high-risk populations.
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Affiliation(s)
- Juliane M. Liberto
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
| | - Sheng-Yin Chen
- School of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan;
| | - Ie-Ming Shih
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
| | - Tza-Huei Wang
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tian-Li Wang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
| | - Thomas R. Pisanic
- Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA
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15
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Cancer Genetics and Breast Cancer. Best Pract Res Clin Obstet Gynaecol 2022; 82:3-11. [DOI: 10.1016/j.bpobgyn.2022.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/19/2022] [Accepted: 01/21/2022] [Indexed: 12/15/2022]
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16
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Azribi F, Abdou E, Dawoud E, Ashour M, Kamal A, Al Sayed M, Burney I. Prevalence of BRCA1 and BRCA2 pathogenic sequence variants in ovarian cancer patients in the Gulf region: the PREDICT study. BMC Cancer 2021; 21:1350. [PMID: 34930165 PMCID: PMC8690897 DOI: 10.1186/s12885-021-09094-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 11/23/2021] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Patients with pathogenic sequence variants (PSVs) in BRCA1/BRCA2 are at high risk of developing ovarian cancer (OC). However, genetic testing for BRCA1/BRCA2 PSVs is still not a routine practice in the Middle East. With the lack of epidemiological studies in the region, we aim to describe the prevalence of BRCA1/BRCA2 PSVs in patients with OC across different countries in the Gulf region. METHODS The PREDICT study was an observational, prospective, epidemiological study, which consecutively recruited women with ovarian, primary peritoneal, and fallopian tube cancers from the following Gulf countries over the period from July 2017 to July 2019; United Arab Emirates (UAE), Kuwait, and Oman. The study was approved by the local ethics committee of participating centers. The BRCA1/BRCA2 PSVs were assessed by tissue genetic testing using next-generation sequencing (NGS). RESULTS A total of 105 women were included with a median age at diagnosis of 52 years (IQR 44.5 - 61.0). Nearly 11.4% of patients reported a family history of ovarian or breast cancer, while 4.7% of patients reported a family history of other cancers. Most of the patients (70.3%) had advanced disease (FIGO stage III/IV) at presentation. Eighty-eight patients (84%) were successfully tested for somatic BRCA1/BRCA2 PSVs. Fifteen patients (17%) were found to have PSVs in either BRCA1, BRCA2, or both genes; of them, 10 patients (11.2%) had BRCA1 somatic PSVs alone, eight patients (9.1%) had BRCA2 somatic PSVs, while three patients (2.9%) had both PSVs. Five patients with BRCA1/BRCA2 somatic PSVs had germline PSVs tests, and three of them tested positive. Concerning treatment, 87.6% of patients received perioperative chemotherapy and 6.6% as first-line palliative chemotherapy. Eighty-seven (82.9%) patients underwent debulking surgery, with no residual disease in 42.5% of patients. CONCLUSION Our study showed that the prevalence of BRCA1/BRCA2 somatic PSVs in patients with OC is higher than the reported global figures (2-8%). However, more studies are warranted to further elucidate the prevalence of BRCA1/BRCA2 somatic and germline PSVs, as well as other relevant genetic alterations, to better understand their impact on OC patient outcomes in Gulf countries. TRIAL REGISTRATION NCT03082976 .
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Affiliation(s)
| | - Ehab Abdou
- Kuwait Cancer Control Center, Kuwait City, Kuwait
| | - Emad Dawoud
- Tawam Hospital, Al Ain, United Arab Emirates
| | | | - Amgad Kamal
- Medical Affairs Department, AstraZeneca, Dubai, United Arab Emirates
| | - Mohamed Al Sayed
- Medical Affairs Department, AstraZeneca, Dubai, United Arab Emirates
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17
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Fierheller CT, Guitton-Sert L, Alenezi WM, Revil T, Oros KK, Gao Y, Bedard K, Arcand SL, Serruya C, Behl S, Meunier L, Fleury H, Fewings E, Subramanian DN, Nadaf J, Bruce JP, Bell R, Provencher D, Foulkes WD, El Haffaf Z, Mes-Masson AM, Majewski J, Pugh TJ, Tischkowitz M, James PA, Campbell IG, Greenwood CMT, Ragoussis J, Masson JY, Tonin PN. A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene. Genome Med 2021; 13:186. [PMID: 34861889 PMCID: PMC8642877 DOI: 10.1186/s13073-021-00998-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 10/27/2021] [Indexed: 12/14/2022] Open
Abstract
Background Familial ovarian cancer (OC) cases not harbouring pathogenic variants in either of the BRCA1 and BRCA2 OC-predisposing genes, which function in homologous recombination (HR) of DNA, could involve pathogenic variants in other DNA repair pathway genes. Methods Whole exome sequencing was used to identify rare variants in HR genes in a BRCA1 and BRCA2 pathogenic variant negative OC family of French Canadian (FC) ancestry, a population exhibiting genetic drift. OC cases and cancer-free individuals from FC and non-FC populations were investigated for carrier frequency of FANCI c.1813C>T; p.L605F, the top-ranking candidate. Gene and protein expression were investigated in cancer cell lines and tissue microarrays, respectively. Results In FC subjects, c.1813C>T was more common in familial (7.1%, 3/42) than sporadic (1.6%, 7/439) OC cases (P = 0.048). Carriers were detected in 2.5% (74/2950) of cancer-free females though female/male carriers were more likely to have a first-degree relative with OC (121/5249, 2.3%; Spearman correlation = 0.037; P = 0.011), suggesting a role in risk. Many of the cancer-free females had host factors known to reduce risk to OC which could influence cancer risk in this population. There was an increased carrier frequency of FANCI c.1813C>T in BRCA1 and BRCA2 pathogenic variant negative OC families, when including the discovery family, compared to cancer-free females (3/23, 13%; OR = 5.8; 95%CI = 1.7–19; P = 0.005). In non-FC subjects, 10 candidate FANCI variants were identified in 4.1% (21/516) of Australian OC cases negative for pathogenic variants in BRCA1 and BRCA2, including 10 carriers of FANCI c.1813C>T. Candidate variants were significantly more common in familial OC than in sporadic OC (P = 0.04). Localization of FANCD2, part of the FANCI-FANCD2 (ID2) binding complex in the Fanconi anaemia (FA) pathway, to sites of induced DNA damage was severely impeded in cells expressing the p.L605F isoform. This isoform was expressed at a reduced level, destabilized by DNA damaging agent treatment in both HeLa and OC cell lines, and exhibited sensitivity to cisplatin but not to a poly (ADP-ribose) polymerase inhibitor. By tissue microarray analyses, FANCI protein was consistently expressed in fallopian tube epithelial cells and only expressed at low-to-moderate levels in 88% (83/94) of OC samples. Conclusions This is the first study to describe candidate OC variants in FANCI, a member of the ID2 complex of the FA DNA repair pathway. Our data suggest that pathogenic FANCI variants may modify OC risk in cancer families. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-021-00998-5.
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Affiliation(s)
- Caitlin T Fierheller
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada
| | - Laure Guitton-Sert
- Genome Stability Laboratory, CHU de Québec-Université Laval Research Center, Oncology Division, Quebec City, Quebec, Canada.,Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University Cancer Research Center, Quebec City, Quebec, Canada
| | - Wejdan M Alenezi
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada.,Department of Medical Laboratory Technology, Taibah University, Medina, Saudi Arabia
| | - Timothée Revil
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,McGill Genome Centre, McGill University, Montreal, Quebec, Canada
| | - Kathleen K Oros
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Yuandi Gao
- Genome Stability Laboratory, CHU de Québec-Université Laval Research Center, Oncology Division, Quebec City, Quebec, Canada.,Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University Cancer Research Center, Quebec City, Quebec, Canada
| | - Karine Bedard
- Laboratoire de Diagnostic Moléculaire, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.,Département de pathologie et biologie cellulaire, Université de Montréal, Montreal, Quebec, Canada
| | - Suzanna L Arcand
- Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada
| | - Corinne Serruya
- Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada
| | - Supriya Behl
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Liliane Meunier
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Hubert Fleury
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Eleanor Fewings
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Deepak N Subramanian
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Javad Nadaf
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,McGill Genome Centre, McGill University, Montreal, Quebec, Canada
| | - Jeffrey P Bruce
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Rachel Bell
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Diane Provencher
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada.,Division of Gynecologic Oncology, Université de Montréal, Montreal, Quebec, Canada
| | - William D Foulkes
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.,Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Zaki El Haffaf
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Anne-Marie Mes-Masson
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada.,Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Trevor J Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Paul A James
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,The Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Celia M T Greenwood
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.,Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada.,Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,McGill Genome Centre, McGill University, Montreal, Quebec, Canada
| | - Jean-Yves Masson
- Genome Stability Laboratory, CHU de Québec-Université Laval Research Center, Oncology Division, Quebec City, Quebec, Canada.,Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University Cancer Research Center, Quebec City, Quebec, Canada
| | - Patricia N Tonin
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada. .,Cancer Research Program, Centre for Translational Biology, The Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec, H4A 3 J1, Canada. .,Department of Medicine, McGill University, Montreal, Quebec, Canada.
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18
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Martinez A, Buckley MS, Scalise CB, Wang D, Katre AA, Birrer MJ, Berry JL, Arend RC. Utilization of a 3-D tissue engineered model to investigate the effects of perfusion on gynecologic cancer biology. J Tissue Eng 2021; 12:20417314211055015. [PMID: 34820113 PMCID: PMC8606733 DOI: 10.1177/20417314211055015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/06/2021] [Indexed: 11/16/2022] Open
Abstract
Among gynecologic malignancies, ovarian cancer (OC) has the poorest survival rate, and its clinical management remains challenging due to the high rate of recurrence and chemoresistance. Improving survival for these patients is critical, although this requires the ability to translate preclinical studies to actual patient care: bench to bedside and back. Our objective was to develop a preclinical model that accurately represents tumor biology and its microenvironment. We utilized SKOV-3, OVCAR-8, and CS-99 cell lines to show that this model was suitable for in vitro assessment of cell proliferation. We tested OC cells independently and in co-culture with cancer associated fibroblasts (CAFs) or immune cells. Additionally, we used patient-derived ovarian carcinoma and carcinosarcoma samples to show that the system maintains the histologic morphology of the primary tissue after 7 days. Moreover, we tested the response to chemotherapy using both cell lines and patient-derived tumor specimens and confirmed that cell death was significantly higher in the treated group compared to the vehicle group. Finally, we immune profiled the 3-D model containing patient tissue after several days in the bioreactor system and revealed that the immune populations are still present. Our data suggest that this model is a suitable preclinical model to aid in research that will ultimately impact the treatment of patients with gynecologic cancer.
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Affiliation(s)
- Alba Martinez
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Molly S Buckley
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Carly B Scalise
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Dezhi Wang
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ashwini A Katre
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael J Birrer
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Joel L Berry
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rebecca C Arend
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
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19
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Flaum N, van Veen EM, Smith O, Amico S, Newman WG, Crosbie EJ, Edmondson R, Smith MJ, Evans DG. Dominant-negative pathogenic variant BRIP1 c.1045G>C is a high-risk allele for non-mucinous epithelial ovarian cancer: A case-control study. Clin Genet 2021; 101:48-54. [PMID: 34585738 DOI: 10.1111/cge.14068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/16/2021] [Accepted: 09/27/2021] [Indexed: 11/28/2022]
Abstract
BRIP1 is a moderate susceptibility epithelial ovarian cancer (EOC) gene. Having identified the BRIP1 c.1045G>C missense variant in a number of families with EOC, we aimed to investigate the frequency of this and BRIP1.2392C>T pathogenic variant in patients with breast cancer (BC) and/or EOC. A case-control study of 3767 cases and 2043 controls was undertaken investigating the presence of these variants using Sanger sequencing and gene panel data. Individuals with BC and/or EOC were grouped by family history. BRIP1 c.1045G>C was associated with increased risk of BC/EOC (OR = 37.7; 95% CI 5.3-444.2; P = 0.0001). The risk was highest for women with EOC (OR = 140.8; 95% CI 23.5-1723.0; P < 0.0001) and lower for BC (OR = 11.1; 95% CI 1.2-106.5; P = 0.1588). BRIP1 c.2392C>T was associated with smaller risks for BC/EOC (OR = 5.4; 95%CI 2.4-12.7; P = 0.0003), EOC (OR = 5.9; 95% CI 1.3-23.0; p = 0.0550) and BC (OR = 5.3; 95%CI 2.3-12.9; P = 0.0009). Our study highlights the importance of BRIP1 as an EOC susceptibility gene, especially in familial EOC. The variant BRIP1 c.1045G>C, rs149364097, is of particular interest as its dominant-negative effect may confer a higher risk of EOC than that of the previously reported BRIP1 c.2392C>T nonsense variant. Dominant-negative missense variants may confer higher risks than their loss-of-function counterparts.
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Affiliation(s)
- Nicola Flaum
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Elke M van Veen
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Olivia Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Stephanie Amico
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Richard Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Miriam J Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK.,The Christie NHS Foundation Trust, Manchester, UK.,Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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20
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No Association of Early-Onset Breast or Ovarian Cancer with Early-Onset Cancer in Relatives in BRCA1 or BRCA2 Mutation Families. Genes (Basel) 2021; 12:genes12071100. [PMID: 34356116 PMCID: PMC8305427 DOI: 10.3390/genes12071100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/24/2021] [Accepted: 07/14/2021] [Indexed: 11/16/2022] Open
Abstract
According to clinical guidelines, the occurrence of very early-onset breast cancer (VEO-BC) (diagnosed ≤ age 30 years) or VEO ovarian cancer (VEO-OC) (diagnosed ≤ age 40 years) in families with BRCA1 or BRCA2 mutation (BRCAm) prompts advancing the age of risk-reducing strategies in relatives. This study aimed to assess the relation between the occurrence of VEO-BC or VEO-OC in families with BRCAm and age at BC or OC diagnosis in relatives. We conducted a retrospective multicenter study of 448 consecutive families with BRCAm from 2003 to 2018. Mean age and 5-year–span distribution of age at BC or OC in relatives were compared in families with or without VEO-BC or VEO-OC. Conditional probability calculation and Cochran–Mantel–Haenszel chi-square tests were used to investigate early-onset cancer occurrence in relatives of VEO-BC and VEO-OC cases. Overall, 15% (19/245) of families with BRCA1m and 9% (19/203) with BRCA2m featured at least one case of VEO-BC; 8% (37/245) and 2% (2/203) featured at least one case of VEO-OC, respectively. The cumulative prevalence of VEO-BC was 5.1% (95% CI 3.6–6.6) and 2.5% (95% CI 1.4–3.6) for families with BRCA1m and BRCA2m, respectively. The distribution of age and mean age at BC diagnosis in relatives did not differ by occurrence of VEO-BC for families with BRCA1m or BRCA2m. Conditional probability calculations did not show an increase of early-onset BC in VEO-BC families with BRCA1m or BRCA2m. Conversely, the probability of VEO-BC was not increased in families with early-onset BC. VEO-BC or VEO-OC occurrence may not be related to young age at BC or OC onset in relatives in families with BRCAm. This finding—together with a relatively high VEO-BC risk for women with BRCAm—advocates for MRI breast screening from age 25 regardless of family history.
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21
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Bethea TN, Ochs-Balcom HM, Bandera EV, Beeghly-Fadiel A, Camancho F, Chyn D, Cloyd EK, Harris HR, Joslin CE, Myers E, Moorman PG, Peres LC, Rosenow W, Setiawan VW, Wu AH, Rosenberg L, Schildkraut JM. First- and second-degree family history of ovarian and breast cancer in relation to risk of invasive ovarian cancer in African American and white women. Int J Cancer 2021; 148:2964-2973. [PMID: 33521947 PMCID: PMC8353974 DOI: 10.1002/ijc.33493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/05/2021] [Accepted: 01/20/2021] [Indexed: 11/07/2022]
Abstract
Family history (FH) of ovarian cancer and breast cancer are well-established risk factors for ovarian cancer, but few studies have examined this association in African American (AA) and white women by histotype. We assessed first- and second-degree FH of ovarian and breast cancer and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium. Analyses included 1052 AA cases, 2328 AA controls, 2380 white cases and 3982 white controls. Race-specific odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multilevel logistic regression with adjustment for covariates. Analyses were stratified by histotype (high-grade serous vs others). First-degree FH of ovarian cancer was associated with high-grade serous carcinoma in AA (OR = 2.32, 95% CI: 1.50, 3.59) and white women (OR = 2.48, 95% CI: 1.82, 3.38). First-degree FH of breast cancer increased risk irrespective of histotype in AAs, but with high-grade serous carcinoma only in white women. Associations with second-degree FH of ovarian cancer were observed for overall ovarian cancer in white women and with high-grade serous carcinoma in both groups. First-degree FH of ovarian cancer and of breast cancer, and second-degree FH of ovarian cancer is strongly associated with high-grade serous ovarian carcinoma in AA and white women. The association of FH of breast cancer with high-grade serous ovarian carcinoma is similar in white women and AA women, but may differ for other histotypes.
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Affiliation(s)
- Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, D.C., USA
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Fabian Camancho
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Deanna Chyn
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Emily K. Cloyd
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Charlotte E. Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, Illinois, USA
| | - Evan Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, USA
| | - Patricia G. Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Will Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Veronica W. Setiawan
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Anna H. Wu
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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22
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Altered Expression of ESR1, ESR2, PELP1 and c-SRC Genes Is Associated with Ovarian Cancer Manifestation. Int J Mol Sci 2021; 22:ijms22126216. [PMID: 34207568 PMCID: PMC8228770 DOI: 10.3390/ijms22126216] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 12/24/2022] Open
Abstract
Ovarian cancer remains the leading cause of death due to gynecologic malignancy. Estrogen-related pathways genes, such as estrogen receptors (ESR1 and ESR2) and their coregulators, proline-, glutamic acid-, and leucine-rich protein 1 (PELP1), and proto-oncogene tyrosine-protein kinase c-Src (SRC) are involved in ovarian cancer induction and development, still they require in-depth study. In our study, tissue samples were obtained from 52 females of Caucasian descent (control group without cancerous evidence (n = 27), including noncancerous benign changes (n = 15), and the ovarian carcinoma (n = 25)). Using quantitative analyses, we investigated ESRs, PELP1, and SRC mRNA expression association with ovarian tumorigenesis. Proteins’ presence and their location were determined by Western blot and immunohistochemistry. Results showed that PELP1 and SRC expression levels were found to differ in tissues of different sample types. The expression patterns were complex and differed in the case of ovarian cancer patients compared to controls. The most robust protein immunoreactivity was observed for PELP1 and the weakest for ESR1. The expression patterns of analyzed genes represent a potentially interesting target in ovarian cancer biology, especially PELP1. This study suggests that specific estrogen-mediated functions in the ovary and ovary-derived cancer might result from different local interactions of estrogen with their receptors and coregulators.
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23
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Robson M. Management of Women With Breast Cancer and Pathogenic Variants in Genes Other Than BRCA1 or BRCA2. J Clin Oncol 2021; 39:2528-2534. [PMID: 34106763 DOI: 10.1200/jco.21.00999] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in the Journal of Clinical Oncology, to patients seen in their own clinical practice.
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Affiliation(s)
- Mark Robson
- Breast Cancer Medicine and Clinical Genetics Services, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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24
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Zheng Q, Ying Q, Ren Z, Zhang Q, Lu D, Wang H, Wei W. First-degree family history of prostate cancer is associated the risk of breast cancer and ovarian cancer. Medicine (Baltimore) 2021; 100:e23816. [PMID: 33530178 PMCID: PMC10545021 DOI: 10.1097/md.0000000000023816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 10/26/2020] [Accepted: 11/19/2020] [Indexed: 02/05/2023] Open
Abstract
ABSTRACT The evidence for associations between family history of prostate cancer and the risk of breast cancer and ovarian cancer is inconclusive. The first systematic review and meta-analysis of studies was conducted to assess the risk of breast cancer and ovarian cancer associated with a family history of prostate cancer.A literature search was conducted using MEDLINE, Embase and Web of science databases up to January 31, 2019. Data were screened and extracted independently by 2 reviewers. The pooled risk ratio (RR) and its 95% confidence interval (CI) were calculated using random-effects models. The GRADE approach was used to assess the quality of evidence.Nine observational studies including 8,011,625 individuals were included in the meta-analysis. The meta-analysis showed that family history of prostate cancer in first-degree relatives was associated with an increased risk of breast cancer (RR 1.12, 95%CI 1.09 to 1.14) with moderate quality evidence, subgroup analysis showed consistent results. Compared with no family history of prostate cancer, history of prostate cancer in first-degree relatives was associated with a slight risk of ovarian cancer (1.10, 95%CI 1.01 to 1.20) with moderate quality evidence. Family history of prostate cancer among sibling was associated with a 17% increased risk of ovarian cancer (95% CI 1.03 to 1.34), however, no significant association was found between family history of prostate cancer among parent and risk of ovarian cancer (RR 1.19, 95% CI 0.84 to 1.70).This review demonstrates that women with a family history of prostate cancer in first-degree relatives was associated with an increased risk of breast cancer and ovarian cancer. These findings may aid in screening, earlier detection and treatment of women with a family history of prostate cancer in first-degree relatives.
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Affiliation(s)
- QiongFei Zheng
- Department of Rehabilitation, Qianjiang Central Hospital of, Chongqing, Qianjiang
| | - Qinli Ying
- Department of Rehabilitation, Qianjiang Central Hospital of, Chongqing, Qianjiang
| | - ZhengJu Ren
- Department of Urology, The Second Affiliated Hospital, Chongqing Medical University
| | - Qin Zhang
- Department of Radiology, Chongqing Traditional Chinese Medicine Hospital, Chongqing
| | - DongLiang Lu
- Department of Urology, Shenzhen Hospital of Southern Medical University, Shenzhen
| | - HongBai Wang
- Department of Rehabilitation, Qianjiang Central Hospital of, Chongqing, Qianjiang
| | - WuRan Wei
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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25
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Role of BRCA Mutation and HE4 in Predicting Chemotherapy Response in Ovarian Cancer: A Retrospective Pilot Study. Biomedicines 2021; 9:biomedicines9010055. [PMID: 33435590 PMCID: PMC7827362 DOI: 10.3390/biomedicines9010055] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/30/2020] [Accepted: 12/31/2020] [Indexed: 01/08/2023] Open
Abstract
Even though 80% of patients with High-Grade Serous Ovarian Cancer respond to standard first-line chemotherapy, a majority of them could relapse in the following five years due to a resistance to platinum. Human Epididymis protein 4 (HE4) is one of the most promising markers in predicting platinum therapy response. This pilot study aims to evaluate the potential role of HE4 value in predicting chemotherapy response in BRCA mutated patients and in BRCA wild-type (non-mutated) ones. We selected 69 patients, affected by High-Grade Serous Ovarian Cancer, and optimally debulked and submitted to standard chemotherapy protocols. HE4 was dosed during every chemotherapy course. Patients were classified as platinum-resistant and platinum-sensitive. According to BRCA mutation test, patients were further divided into BRCA wild-type (53 patients), and BRCA mutated (16 patients). 35 patients out of 69 (52%) were platinum-sensitive (recurrence > 12 months), while 33 patients (48%) were platinum-resistant (recurrence < 12 months). Thus, in the total population, HE4 performed as a marker of chemosensitivity with a sensibility of 79% and a specificity of 97%. In the BRCA WT group, 23 patients out of 53 (43%) were platinum-sensitive, while 30 patients out of 53 (57%) were platinum-resistant. In the BRCA WT group, HE4 performed as a predictive marker of chemosensitivity with a sensibility of 80% and a specificity of 100%. In the BRCA mutated group, 13 patients out of 16 (82%) were platinum-sensitive, while 3 patients (18%) were platinum-resistant. In the BRCA mutated group, HE4 performed as a predictive marker of chemosensitivity in all patients. The ability to detect platinum-resistant patients before tumor relapse probably could open new therapeutic scenarios.
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26
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Crosbie EJ, Flaum N, Harkness EF, Clayton RD, Holland C, Martin-Hirsch P, Wood N, Keating P, Woodward ER, Lalloo F, Donnai P, Edmondson RJ, Evans DG. Specialist oncological surgery for removal of the ovaries and fallopian tubes in BRCA1 and BRCA2 pathogenic variant carriers may reduce primary peritoneal cancer risk to very low levels. Int J Cancer 2020; 148:1155-1163. [PMID: 33152107 PMCID: PMC7839461 DOI: 10.1002/ijc.33378] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/27/2020] [Accepted: 10/16/2020] [Indexed: 01/04/2023]
Abstract
Risk‐reducing bilateral salpingo‐oophorectomy (RRBSO) is highly effective for the prevention of high‐grade serous ovarian cancer (HGSOC) in BRCA1/2 pathogenic variant carriers (PVCs), but does not completely eliminate future risk of primary peritoneal cancer (PPC). The requirement to completely remove fallopian tubes at RRBSO and carefully exclude occult cancer/serous tubal intraepithelial carcinoma (STIC) lesions may not have been appreciated historically. We calculated rates of HGSOC and PPC in confirmed BRCA1/2 PVCs registered on the regional database in those who did (cases) and did not (controls) undergo RRBSO after genetic testing. Expected annual rates of ovarian/peritoneal cancer were 1% for BRCA1 ≥ 35 years and 0.5% for BRCA2 ≥ 45 years. Follow‐up before 35/45 years was “risk free” and lead time excluded RRBSO <35 years and <45 years for BRCA1 and BRCA2, respectively. Women were followed from personal mutation report (controls) or RRBSO (cases) to death, ovarian/peritoneal cancer or last follow‐up, whichever was sooner. In total, 891 cases (BRCA1 = 468, BRCA2 = 423) and 1302 controls had follow‐up ≥35 years (BRCA1 = 736) and ≥45 years (BRCA2 = 566), respectively, over a total of 7261.1 risk eligible years (mean = 8.15 years). Twenty‐one occult ovarian cancers were found at RRBSO (2.4%), 16 at stage 1. Post RRBSO, 56.97 ovarian/peritoneal cancers were expected but only 3 were observed (HR = 0.053; 95% CI = 0.013‐0.14), with combined Kaplan‐Meier analysis HR = 0.029 (95% CI = 0.009‐0.100, P < .001). Risk reduction was greater in specialist (HR = 0.03; 95% CI = 0.001‐0.13) compared to non‐specialist centres (HR = 0.11; 95% CI = 0.02‐0.37) (P = .07). In controls, 23.35 ovarian/peritoneal cancers were expected with 32 observed (HR = 1.37; 95% CI = 0.95‐1.91). RRBSO <35/<45 years reduces the risk of ovarian/peritoneal cancer by 95% in BRCA1/2 PVCs and may be greater in specialist centres. What's new? Women who carry genetic variants in BRCA1/2 that are linked to high‐grade serous ovarian cancer are advised to undergo risk‐reducing prophylactic bilateral salpingo‐oophorectomy (RRBSO). RRBSO, however, is associated with a significant residual risk of primary peritoneal cancer (PPC). Here, the rate of PPC following prophylactic surgery for high‐grade serous ovarian cancer was investigated among 2,193 BRCA1/2 mutation carriers who had undergone RRBSO. Estimates indicate that prophylactic surgery reduced the overall risk of PPC by 95 percent, a far greater reduction than previously described. Residual risk was lowest when RRBSO was carried out at specialist centers compared to non‐specialist centers.
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Affiliation(s)
- Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Nicola Flaum
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Genetic Medicine, Manchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK
| | - Richard D Clayton
- Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Cathrine Holland
- Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Pierre Martin-Hirsch
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Obstetrics and Gynaecology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Nick Wood
- Department of Obstetrics and Gynaecology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Patrick Keating
- Department of Obstetrics and Gynaecology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Emma R Woodward
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Genetic Medicine, Manchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Fiona Lalloo
- Genetic Medicine, Manchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Paul Donnai
- Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Richard J Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Genetic Medicine, Manchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK.,The Christie NHS Foundation Trust, Manchester, UK.,Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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27
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Frontline Management of Epithelial Ovarian Cancer-Combining Clinical Expertise with Community Practice Collaboration and Cutting-Edge Research. J Clin Med 2020; 9:jcm9092830. [PMID: 32882942 PMCID: PMC7565288 DOI: 10.3390/jcm9092830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/27/2020] [Accepted: 08/28/2020] [Indexed: 01/19/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is the most common histology of ovarian cancer defined as epithelial cancer derived from the ovaries, fallopian tubes, or primary peritoneum. It is the fifth most common cause of cancer-related death in women in the United States. Because of a lack of effective screening and non-specific symptoms, EOC is typically diagnosed at an advanced stage (FIGO stage III or IV) and approximately one third of patients have malignant ascites at initial presentation. The treatment of ovarian cancer consists of a combination of cytoreductive surgery and systemic chemotherapy. Despite the advances with new cytotoxic and targeted therapies, the five-year survival rate for all-stage EOC in the United States is 48.6%. Delivery of up-to-date guideline care and multidisciplinary team efforts are important drivers of overall survival. In this paper, we review our frontline management of EOC that relies on a multi-disciplinary approach drawing on clinical expertise and collaboration combined with community practice and cutting edge clinical and translational research. By optimizing partnerships through team medicine and clinical research, we combine our cancer center clinical expertise, community practice partnership, and clinical and translational research to understand the biology of this deadly disease, advance therapy and connect our patients with the optimal treatment that offers the best possible outcomes.
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28
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Sajo EA, Okunade KS, Olorunfemi G, Rabiu KA, Anorlu RI. Serum vitamin D deficiency and risk of epithelial ovarian cancer in Lagos, Nigeria. Ecancermedicalscience 2020; 14:1078. [PMID: 32863872 PMCID: PMC7434510 DOI: 10.3332/ecancer.2020.1078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Indexed: 12/12/2022] Open
Abstract
The studies that have evaluated the association between vitamin D and risk of ovarian cancer have reported inconsistent findings. Many of these studies were carried out in regions with relatively low sunshine all year round unlike in Africa. This study was aimed to determine the relationship between vitamin D deficiency and epithelial ovarian cancer (EOC) amongst women in Lagos, Nigeria. We conducted a case–control study involving women with histologically confirmed EOC (case group) and an equal number of healthy women without cancer (control group) treated at the gynaecological oncology units of two public tertiary hospitals in Lagos, Nigeria, between 1 August, 2016 and 31 May, 2017. Relevant information was obtained from the participants using a structured interviewer-administered questionnaire, and then, venous blood samples were collected and analysed for serum 25-hydroxyvitamin D levels using the CALBIOTECH® 25(OH) vitamin D ELISA kit. The descriptive statistics were conducted for all relevant data, and the multivariable analysis using binary logistic regression model was performed to examine the association between vitamin D deficiency and EOC after adjusting for all possible confounders. The mean age of the participants was 50.6 ± 11.1 years. There was no statistically significant association between serum vitamin D deficiency and EOC (p = 0.09). However, 10 mmol/L change in circulating vitamin D levels was associated with EOC amongst the study participants (adjusted odds ratio 0.96; 95% confidence interval 0.93–0.99; p = 0.04), but following adjustment for potential confounders in a multivariable analysis, there was no statistically significant relationship observed with EOC (adjusted odds ratio 0.99; 95% confidence interval 0.97–1.00; p = 0.06). In addition, there was no evidence of an interaction effect between these confounders and change in circulating 25(OH)D levels in relation to the risk of EOC. The study revealed no statistically significant association between the circulating levels of vitamin D and the risk of EOC. A better assessment of sun exposure in the future as well as better dietary compositional data may help to clarify whether the association between vitamin D and EOC actually exists. Therefore, the future large prospective longitudinal studies are recommended to further examine this relationship and then evaluate the possible need for vitamin D supplementation in women with an increased risk of EOC in Nigeria.
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Affiliation(s)
- Emmanuel Adekunle Sajo
- Department of Obstetrics and Gynaecology, Lagos University Teaching Hospital LUTH, PMB 12003, Idi-Araba, Lagos, Nigeria
| | - Kehinde Sharafadeen Okunade
- Department of Obstetrics and Gynaecology, Lagos University Teaching Hospital LUTH, PMB 12003, Idi-Araba, Lagos, Nigeria.,Department of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Lagos, PMB 12003, Idi-Araba, Lagos, Nigeria
| | - Gbenga Olorunfemi
- Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Parktown 2193, Johannesburg, South Africa
| | - Kabiru Afolarin Rabiu
- Department of Obstetrics and Gynaecology, Lagos State University College of Medicine, PMB 21266, Ikeja, Lagos, Nigeria
| | - Rose Ihuoma Anorlu
- Department of Obstetrics and Gynaecology, Lagos University Teaching Hospital LUTH, PMB 12003, Idi-Araba, Lagos, Nigeria.,Department of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Lagos, PMB 12003, Idi-Araba, Lagos, Nigeria
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29
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Parizadeh SM, Jafarzadeh-Esfehani R, Ghandehari M, Hasanzadeh M, Parizadeh SMR, Hassanian SM, Rezaei-Kalat A, Aghabozorgi AS, Rahimi-Kakhki R, Zargaran B, Ferns GA, Avan A. Circulating and Tissue microRNAs as Biomarkers for Ovarian Cancer Prognosis. Curr Drug Targets 2020; 20:1447-1460. [PMID: 31284859 DOI: 10.2174/1389450120666190708100308] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/09/2019] [Accepted: 06/18/2019] [Indexed: 12/17/2022]
Abstract
Ovarian cancer (OC) is one of the most common cancers globally with a high rate of cancer- associated mortality. OC may be classified into epithelial cell neoplasms, germ cell neoplasms and stromal cell neoplasms. The five-year survival in the early and advanced stages of disease is approximately 90% and 15%, respectively. microRNAs are short, single-stranded, non-coding ribonucleic acid (RNA). miRNAs play critical roles in post transcriptionally regulations of gene expression. miRNAs are found in different tissues and body fluids. In carcinogenesis the expression of miRNAs are altered. Recent studies have revealed that there is a relationship between alteration of miRNAs expression and the prognosis of patients with OC. The aim of this review was to summarize the findings of recent studies that have investigated the expression of circulating and tissue miRNAs as novel biomarkers in the prognosis of OC.
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Affiliation(s)
| | - Reza Jafarzadeh-Esfehani
- Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Ghandehari
- Metabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, Faculty of Medicine, Mashhad University of medical sciences, Mashhad, Mashhad, Iran
| | - Malihe Hasanzadeh
- Department of Gynecology Oncology, Woman Health Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Seyed Mahdi Hassanian
- Metabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Afsaneh Rezaei-Kalat
- Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirsaeed Sabeti Aghabozorgi
- Department of Medical Genetics, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Rana Rahimi-Kakhki
- Metabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Bita Zargaran
- Metabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gordon A Ferns
- Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, United Kingdom
| | - Amir Avan
- Metabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, Faculty of Medicine, Mashhad University of medical sciences, Mashhad, Mashhad, Iran.,Cancer Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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30
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Mota A, S Oltra S, Moreno-Bueno G. Insight updating of the molecular hallmarks in ovarian carcinoma. EJC Suppl 2020; 15:16-26. [PMID: 33240439 PMCID: PMC7573468 DOI: 10.1016/j.ejcsup.2019.11.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 10/17/2019] [Accepted: 11/16/2019] [Indexed: 12/31/2022] Open
Abstract
Background and purpose Ovarian cancer (OC) is the deadliest gynaecologic cancer characterised by a high heterogeneity not only at the clinical point of view but also at the molecular level. This review focuses on the new insights about the OC molecular classification. Materials and methods We performed a bibliographic search for different indexed articles focused on the new molecular classification of OC. All of them have been published in PubMed and included information about the most frequent molecular alterations in OC confirmed by omics approaches. In addition, we have extracted information about the role of liquid biopsy in the OC diagnosis and prognosis. Results New molecular insights into OC have allowed novel clinical entities to be defined. Among OC, high-grade serous ovarian carcinoma (HGSOC) which is the most common OC is characterised by omics approaches, mutations in TP53 and in other genes involved in the homologous recombination repair, especially BRCA1/2. Recent studies in HGSOC have allowed a new molecular classification in subgroups according to their mutational, transcriptional, methylation and copy number variation signatures with a real impact in the characterisation of new therapeutic targets for OC to be defined. Furthermore, despite the intrinsic intra-tumour heterogeneity, the advances in next generation sequencing (NGS) analyses of ascetic liquid from OC have opened new ways for its characterisation and treatment. Conclusions The advances in genomic approaches have been used for the identification of new molecular profiling techniques which define OC subgroups and has supposed advances in the diagnosis and in the personalised treatment of OC. Classification of ovarian cancer regarding to widespread genetic and genomic data. Highlighted role of p53 and BRCA1/2 in ovarian cancer for diagnosis and treatment. Intra-tumour genetic heterogeneity in ovarian cancer. Useful of liquid biopsy study in ovarian cancer diagnosis.
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Affiliation(s)
- Alba Mota
- Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas ‘Alberto Sols’ (CSIC-UAM), IdiPaz, MD Anderson International Foundation Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Spain
| | - Sara S Oltra
- Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas ‘Alberto Sols’ (CSIC-UAM), IdiPaz, MD Anderson International Foundation Madrid, Spain
| | - Gema Moreno-Bueno
- Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas ‘Alberto Sols’ (CSIC-UAM), IdiPaz, MD Anderson International Foundation Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Spain
- Corresponding author: Departamento de Bioquímica, Facultad de Medicina (UAM), Instituto de Investigaciones Biomédicas “Alberto Sols” CSIC-UAM, Arzobispo Morcillo 4, Madrid, 28029, Spain. Fax: +34 91-5854401.
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31
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Guo M, Xu C, Chen YZ, Sun QW, Zhao XY, Liu X, Yang Y, Hu YY, Li FF, Liu SL. Associations of CXCL1 gene 5'UTR variations with ovarian cancer. J Ovarian Res 2020; 13:43. [PMID: 32326946 PMCID: PMC7181480 DOI: 10.1186/s13048-020-00640-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 03/30/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There are about 2.4 hundred thousand new cases and 1.5 hundred thousand deaths of ovarian cancer (OC) annually in the world. Chronic inflammation is a risk factor for OC. C-X-C motif chemokine ligand 1 (CXCL1) defects may facilitate inflammation and transactivate EGFR in ovarian cancer, but the precise haplotypes associated with the potential diseases remained largely unknown. In this work, we characterized CXCL1 gene variations to elucidate their possible associations with OC. METHODS We analyzed the CXCL1 gene for 300 OC patients with 400 healthy participants as controls. The statistical analyses and Hardy-Weinberg equilibrium tests of the patients and control populations were conducted using the SPSS software (version 19.0) and Plink (version 1.9). RESULTS The variants rs11547681, rs201090116, rs199791199, rs181868085, rs4074 and rs1814092 within or near the CXCL1 gene were characterized. The genetic heterozygosity of rs11547681 and rs4074 was very high. Statistical analysis showed that the variant rs11547681 in the gene was closely associated with the risk of OC in the Chinese Han population, although this variant was not associated with FIGO stages or pathological grades of the patients. CONCLUSIONS Rs11547681 in CXCL1 gene was associated with the risk of OC in the Chinese Han population.
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Affiliation(s)
- Man Guo
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.,Department of Gynaecology and Obstetrics of the Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Chao Xu
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.,Department of Colorectal Surgery of the Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Yan-Zhe Chen
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China
| | - Qi-Wen Sun
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China
| | - Xin-Ying Zhao
- Department of Blood Dialysis, Heilongjiang Agricultural Reclamation Bureau General Hospital, Harbin, China
| | - Xin Liu
- Fifth Hospital Gynecology the City of Xiamen, Xiamen, Fujian, China
| | - Yi Yang
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China
| | - Yi-Yan Hu
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China
| | - Fei-Feng Li
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China. .,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Hegang, Heilongjiang, China.
| | - Shu-Lin Liu
- Genomics Research Center, College of Pharmacy (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China. .,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Hegang, Heilongjiang, China. .,Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
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32
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Konstantinopoulos PA, Norquist B, Lacchetti C, Armstrong D, Grisham RN, Goodfellow PJ, Kohn EC, Levine DA, Liu JF, Lu KH, Sparacio D, Annunziata CM. Germline and Somatic Tumor Testing in Epithelial Ovarian Cancer: ASCO Guideline. J Clin Oncol 2020; 38:1222-1245. [PMID: 31986064 PMCID: PMC8842911 DOI: 10.1200/jco.19.02960] [Citation(s) in RCA: 204] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2019] [Indexed: 08/01/2023] Open
Abstract
PURPOSE To provide recommendations on genetic and tumor testing for women diagnosed with epithelial ovarian cancer based on available evidence and expert consensus. METHODS A literature search and prospectively defined study selection criteria sought systematic reviews, meta-analyses, randomized controlled trials (RCTs), and comparative observational studies published from 2007 through 2019. Guideline recommendations were based on the review of the evidence. RESULTS The systematic review identified 19 eligible studies. The evidence consisted of systematic reviews of observational data, consensus guidelines, and RCTs. RECOMMENDATIONS All women diagnosed with epithelial ovarian cancer should have germline genetic testing for BRCA1/2 and other ovarian cancer susceptibility genes. In women who do not carry a germline pathogenic or likely pathogenic BRCA1/2 variant, somatic tumor testing for BRCA1/2 pathogenic or likely pathogenic variants should be performed. Women with identified germline or somatic pathogenic or likely pathogenic variants in BRCA1/2 genes should be offered treatments that are US Food and Drug Administration (FDA) approved in the upfront and the recurrent setting. Women diagnosed with clear cell, endometrioid, or mucinous ovarian cancer should be offered somatic tumor testing for mismatch repair deficiency (dMMR). Women with identified dMMR should be offered FDA-approved treatment based on these results. Genetic evaluations should be conducted in conjunction with health care providers familiar with the diagnosis and management of hereditary cancer. First- or second-degree blood relatives of a patient with ovarian cancer with a known germline pathogenic cancer susceptibility gene variant should be offered individualized genetic risk evaluation, counseling, and genetic testing. Clinical decision making should not be made based on a variant of uncertain significance. Women with epithelial ovarian cancer should have testing at the time of diagnosis.
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Affiliation(s)
| | | | | | | | | | | | - Elise C Kohn
- Gynecologic Cancer Therapeutics, National Cancer Institute, Bethesda, MD
| | | | | | - Karen H Lu
- The University of Texas MD Anderson Cancer Center, Houston,TX
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33
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Gupta S, Pathak Y, Gupta MK, Vyas SP. Nanoscale drug delivery strategies for therapy of ovarian cancer: conventional vs targeted. ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY 2020; 47:4066-4088. [PMID: 31625408 DOI: 10.1080/21691401.2019.1677680] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Ovarian cancer is the second most common gynaecological malignancy. It usually occurs in women older than 50 years, and because 75% of cases are diagnosed at stage III or IV it is associated with poor diagnosis. Despite the chemosensitivity of intraperitoneal chemotherapy, the majority of patients is relapsed and eventually dies. In addition to the challenge of early detection, its treatment presents several challenges like the route of administration, resistance to therapy with recurrence and specific targeting of cancer to reduce cytotoxicity and side effects. In ovarian cancer therapy, nanocarriers help overcome problems of poor aqueous solubility of chemotherapeutic drugs and enhance their delivery to the tumour sites either by passive or active targeting, and thus reducing adverse side effects to the healthy tissues. Moreover, the bioavailability to the tumour site is increased by the enhanced permeability and retention (EPR) mechanism. The present review aims to describe the current conventional treatment with special reference to passively and actively targeted drug delivery systems (DDSs) towards specific receptors designed against ovarian cancer to overcome the drawbacks of conventional delivery. Conclusively, targeted nanocarriers would optimise the intra-tumour distribution, followed by drug delivery into the intracellular compartment. These features may contribute to greater therapeutic effect.
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Affiliation(s)
- Swati Gupta
- Amity Institute of Pharmacy, Amity University Uttar Pradesh , Noida , India
| | - Yashwant Pathak
- College of Pharmacy, University of South Florida Health , Tampa , FL , USA.,Faculty of Pharmacy, University of Airlangga , Surabaya , Indonesia
| | - Manish K Gupta
- TERI-Deakin Nanobiotechnology Centre, The Energy and Resources Institute (TERI), Gual Pahari, TERI Gram , Gurugram , India
| | - Suresh P Vyas
- Department of Pharmaceutical Sciences, Dr H.S. Gour University , Sagar , India
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34
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Transmission of X-linked Ovarian Cancer: Characterization and Implications. Diagnostics (Basel) 2020; 10:diagnostics10020090. [PMID: 32046210 PMCID: PMC7167857 DOI: 10.3390/diagnostics10020090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/03/2020] [Accepted: 02/05/2020] [Indexed: 11/17/2022] Open
Abstract
We recently reported evidence that a strong, BRCA-independent locus on the X-chromosome may contribute to ovarian cancer predisposition in families ascertained from the Familial Ovarian Cancer Registry (Buffalo, NY, USA). While it has been estimated that approximately 20% of all ovarian cancer cases are hereditary, it is possible that a significant proportion of cases previously believed to be sporadic may, in fact, be X-linked. Such X-linked disease has a distinct pattern; it implies that a father will necessarily pass a risk allele to each of his daughters, increasing the prevalence of cancers clustered within a family. X-chromosome inactivation further influences the expression of X-linked alleles and may represent a novel target for screening and therapy. Herein, we review the current literature regarding X-linked ovarian cancer and interpret allele transmission-based models to characterize X-linked ovarian cancer and develop a framework for clinical and epidemiological familial ascertainment to inform the design of future studies.
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35
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Lyra PCM, Rangel LB, Monteiro ANA. Functional Landscape of Common Variants Associated with Susceptibility to Epithelial Ovarian Cancer. CURR EPIDEMIOL REP 2020. [DOI: 10.1007/s40471-020-00227-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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36
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Mai PL, Huang HQ, Wenzel LB, Han PK, Moser RP, Rodriguez GC, Boggess J, Rutherford TJ, Cohn DE, Kauff ND, Phillips KA, Wilkinson K, Wenham RM, Hamilton C, Powell MA, Walker JL, Greene MH, Hensley ML. Prospective follow-up of quality of life for participants undergoing risk-reducing salpingo-oophorectomy or ovarian cancer screening in GOG-0199: An NRG Oncology/GOG study. Gynecol Oncol 2020; 156:131-139. [PMID: 31759774 PMCID: PMC6980744 DOI: 10.1016/j.ygyno.2019.10.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 10/08/2019] [Accepted: 10/22/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Risk-reducing salpingo-oophorectomy (RRSO) and ovarian cancer screening (OCS) are management options for women at increased risk of ovarian cancer. Long-term effects of these interventions on quality of life (QOL) are not well understood. METHODS GOG-0199 is a prospective cohort study of women at increased ovarian cancer risk who chose either RRSO or OCS as their risk management intervention. At study entry, 6, 12, 24 and 60 months of follow-up, participants completed the QOL questionnaire, which included the Medical Outcome Study Short Form-36, the Impact of Events Scales, the Center for Epidemiological Studies Depression Scale, the State-Trait Anxiety Inventory, the Functional Assessment of Cancer Therapy - Endocrine Subscale, and the Sexual Activity Questionnaire. QOL measures were compared between the RRSO and OCS cohort at baseline and over time. RESULTS Five-hundred-sixty-two participants in the RRSO cohort and 1,010 in the OCS completed the baseline and at least one follow-up questionnaire. At baseline, participants selecting RRSO reported lower health-related QOL (HRQOL), greater ovarian cancer-related stress, greater anxiety, and more depressive symptomatology, which improved during follow-up, especially for ovarian cancer-related stress. Screening was not found to adversely impact HRQOL. Hormone-related menopausal symptoms worsened and sexual functioning declined during follow-up in both cohorts, but more so among participants who underwent RRSO. CONCLUSIONS HRQOL improved after surgery among women who chose RRSO and remained stable among participants undergoing screening. The adverse effects of RRSO and screening on short-term and long-term sexual activity and sexual functioning warrant consideration in the decision-making process for high-risk women.
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Affiliation(s)
- Phuong L Mai
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850-9772, USA.
| | - Helen Q Huang
- NRG Oncology, Statistical and Data Center, Roswell Park Cancer Institute, Buffalo, NY, 14263-0001, USA.
| | - Lari B Wenzel
- Center for Health Policy Research, University of California, Irvine, Irvine CA, 92697, USA.
| | - Paul K Han
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, 04101, USA.
| | - Richard P Moser
- Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, 20850-9761, USA.
| | - Gustavo C Rodriguez
- Division of Gynecologic Oncology, North Shore University Health System; Evanston, IL, 60201, USA.
| | - John Boggess
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill; Raleigh NY 27607, USA.
| | | | - David E Cohn
- Ohio State University, Columbus Cancer Council; GYN Oncology; Columbus, OH, 43026, USA.
| | - Noah D Kauff
- Gynecologic Medical Oncology Service, Memorial Sloan-Kettering Cancer Center; Surgery Department; New York, NY, 10065, USA.
| | - Kelly-Anne Phillips
- Peter MacCallum Cancer Centre, Division of Cancer Medicine, Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 300 AU, Australia.
| | - Kelly Wilkinson
- University of Mississippi Medical Center, Dept. of Hematology/Oncology, Jackson, MS, 39216, USA.
| | - Robert M Wenham
- H. Lee Moffitt Cancer Center & Research Institute, Gynecology Oncology Division; Tampa, FL, 33612-9497, USA.
| | - Chad Hamilton
- Walter Reed Army Medical Center, Bethesda, MD, 20889, USA.
| | - Matthew A Powell
- Washington University School of Medicine, Saint Louis, MO, 63110, USA.
| | - Joan L Walker
- Stephenson Cancer Center, Department of Gynecologic Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850-9772, USA.
| | - Martee L Hensley
- Gynecologic Medical Oncology Service, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, 10065, USA.
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37
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When Should Prophylactic Oophorectomy Be Recommended at the Time of Elective Hysterectomy? Clin Obstet Gynecol 2019; 63:337-348. [DOI: 10.1097/grf.0000000000000521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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38
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Challenging the believed proportion of ovarian cancer attributable to BRCA2 versus BRCA1 pathogenic variants. Eur J Cancer 2019; 124:88-90. [PMID: 31760313 DOI: 10.1016/j.ejca.2019.10.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/23/2019] [Accepted: 10/06/2019] [Indexed: 11/20/2022]
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39
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Domchek SM, Robson ME. Update on Genetic Testing in Gynecologic Cancer. J Clin Oncol 2019; 37:2501-2509. [PMID: 31403865 PMCID: PMC6754232 DOI: 10.1200/jco.19.00363] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2019] [Indexed: 01/13/2023] Open
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40
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Zhu Q, Zhang J, Chen Y, Hu Q, Shen H, Huang RY, Liu Q, Kaur J, Long M, Battaglia S, Eng KH, Lele SB, Zsiros E, Villella J, Lugade A, Yao S, Liu S, Moysich K, Odunsi KO. Whole-exome sequencing of ovarian cancer families uncovers putative predisposition genes. Int J Cancer 2019; 146:2147-2155. [PMID: 31265121 PMCID: PMC7065147 DOI: 10.1002/ijc.32545] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 06/10/2019] [Accepted: 06/21/2019] [Indexed: 01/05/2023]
Abstract
Despite the identification of several ovarian cancer (OC) predisposition genes, a large proportion of familial OC risk remains unexplained. We adopted a two-stage design to identify new OC predisposition genes. We first carried out a large germline whole-exome sequencing study on 158 patients from 140 families with significant OC history, but without evidence of genetic predisposition due to BRCA1/2. We then evaluated the potential candidate genes in a large case-control association study involving 381 OC cases in the Cancer Genome Atlas project and 27,173 population controls from the Exome Aggregation Consortium. Two new putative OC risk genes were identified, namely, ANKRD11, a putative tumor suppressor, and POLE, an enzyme involved in DNA repair and replication. These two genes likely confer moderate OC risk. We performed in vitro experiments and showed an ANKRD11 mutation identified in our patients markedly lowered the protein expression by compromising protein stability. Upon future validation and functional characterization, these genes may shed light on cancer etiology along with improving ascertainment power and preventive care of individuals at high risk of OC.
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Affiliation(s)
- Qianqian Zhu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Jianmin Zhang
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Yanmin Chen
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Qiang Hu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - He Shen
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Ruea-Yea Huang
- Center for Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Qian Liu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Jasmine Kaur
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Mark Long
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | - Kevin H Eng
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Shashikant B Lele
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Emese Zsiros
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Jeannine Villella
- Division of Gynecologic Oncology, Lenox Hill Hospital/ Northwell Health Cancer Institute, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY
| | - Amit Lugade
- Center for Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Song Liu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Kirsten Moysich
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Kunle O Odunsi
- Center for Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, NY.,Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
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41
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Flaum N, Crosbie EJ, Edmondson RJ, Smith MJ, Evans DG. Epithelial ovarian cancer risk: A review of the current genetic landscape. Clin Genet 2019; 97:54-63. [PMID: 31099061 PMCID: PMC7017781 DOI: 10.1111/cge.13566] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 03/18/2019] [Accepted: 05/14/2019] [Indexed: 12/11/2022]
Abstract
Ovarian cancer is the fourth most common cause of cancer-related death in women in the developed world, and one of the most heritable cancers. One of the most significant risk factors for epithelial ovarian cancer (EOC) is a family history of breast and/or ovarian cancer. Combined risk factors can be used in models to stratify risk of EOC, and aid in decisions regarding risk-reduction strategies. Germline pathogenic variants in EOC susceptibility genes including those involved in homologous recombination and mismatch repair pathways are present in approximately 22% to 25% of EOC. These genes are associated with an estimated lifetime risk of EOC of 13% to 60% for BRCA1 variants and 10% to 25% for BRCA2 variants, with lower risks associated with remaining genes. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) thought to explain an additional 6.4% of the familial risk of ovarian cancer, with 34 susceptibility loci identified to date. However, an unknown proportion of the genetic component of EOC risk remains unexplained. This review comprises an overview of individual genes and SNPs suspected to contribute to risk of EOC, and discusses use of a polygenic risk score to predict individual cancer risk more accurately.
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Affiliation(s)
- Nicola Flaum
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Richard J Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Department of Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Miriam J Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Dafydd G Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK.,Department of Cancer Genetics, The Christie NHS Foundation Trust, Manchester, UK.,Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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42
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Giampaolino P, Della Corte L, Foreste V, Vitale SG, Chiofalo B, Cianci S, Zullo F, Bifulco G. Unraveling a difficult diagnosis: the tricks for early recognition of ovarian cancer. Minerva Med 2019; 110:279-291. [PMID: 31081307 DOI: 10.23736/s0026-4806.19.06086-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Epithelial ovarian cancer (EOC) is the predominant type of ovarian cancer (OC). The 5-year survival of patients has improved over the last three decades, although the overall cure rate of OC if about 30%. Despite high response rates after initial chemotherapy, most patients with advanced ovarian cancer ultimately develop the recurrent disease because of resistance to chemotherapy. A proper early diagnosis and treatment of patients with ovarian cancer are urgently needed. Nowadays the diagnosis is performed by means of clinical symptoms and signs, often indicators of a disease already at an advanced stage, tumor markers (CA125 and HE4), transvaginal ultrasonography and imaging, very useful in distinguishing adnexal masses. Understand the nature of an adnexal mass is the primary point to begin the diagnosis of OC. Validated different model to approach and characterize adnexal pathology preoperatively are described, such as the International Ovarian Tumor Analysis (IOTA) and the Assessment of Different NEoplasias in the AdneXa (ADNEX) model. New tumor markers, such as PRSS8, FOLR1, KLK6/7, GSTT1, and miRNAs, are getting ahead and are worth noting for early detection of ovarian cancer. Despite the development of numerous ultrasound models for the diagnosis of adnexal masses and the analysis of different tumor markers, the early diagnosis of ovarian cancer is still difficult to practice. Moreover, identifying genetic risk alleles, such as germline BRCA1 and BRCA2 mutations, for ovarian cancer has had a significant impact on disease prevention strategies.
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Affiliation(s)
- Pierluigi Giampaolino
- Department of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Luigi Della Corte
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Virginia Foreste
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Salvatore G Vitale
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy -
| | - Benito Chiofalo
- Unit of Gynecologic Oncology, Department of Experimental Clinical Oncology, "Regina Elena" National Cancer Institute, Rome, Italy
| | - Stefano Cianci
- Division of Gynecologic Oncology, Department of Women and Children's Health, A. Gemelli University Hospital and Institute for Research and Care, Rome, Italy
| | - Fulvio Zullo
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Giuseppe Bifulco
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
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Kim S, Wang M, Tyrer JP, Jensen A, Wiensch A, Liu G, Lee AW, Ness RB, Salvatore M, Tworoger SS, Whittemore AS, Anton-Culver H, Sieh W, Olson SH, Berchuck A, Goode EL, Goodman MT, Doherty JA, Chenevix-Trench G, Rossing MA, Webb PM, Giles GG, Terry KL, Ziogas A, Fortner RT, Menon U, Gayther SA, Wu AH, Song H, Brooks-Wilson A, Bandera EV, Cook LS, Cramer DW, Milne RL, Winham SJ, Kjaer SK, Modugno F, Thompson PJ, Chang-Claude J, Harris HR, Schildkraut JM, Le ND, Wentzensen N, Trabert B, Høgdall E, Huntsman D, Pike MC, Pharoah PD, Pearce CL, Mukherjee B. A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variants. Int J Cancer 2019; 144:2192-2205. [PMID: 30499236 PMCID: PMC6399057 DOI: 10.1002/ijc.32029] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 10/24/2018] [Indexed: 12/18/2022]
Abstract
As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case-control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10-4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46-0.60) compared to 0.71 (95%CI = 0.66-0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1-5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene-environment analysis in ovarian cancer.
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Affiliation(s)
- Sehee Kim
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Miao Wang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jonathan P. Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ashley Wiensch
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Gang Liu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alice W. Lee
- Department of Health Science, California State University, Fullerton, Fullerton, CA, USA
| | - Roberta B. Ness
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maxwell Salvatore
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Research Institute and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alice S. Whittemore
- Department of Health Research and Policy - Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Weiva Sieh
- Department of Genetics and Genomic Sciences, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara H. Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Ellen L. Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Marc T. Goodman
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jennifer Anne Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - 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
| | - Penelope M. Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Graham G. Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kathryn L. Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Usha Menon
- Gynaecological Cancer Research Centre, Women’s Cancer, Institute for Women’s Health, University College London, London, UK
| | - Simon A. Gayther
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Honglin Song
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Elisa V. Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Linda S. Cook
- University of New Mexico Health Sciences Center, University of New Mexico, Albuquerque, NM, USA
- Division of Cancer Care, Department of Population Health Research, Alberta Health Services, Calgary, AB, Canada
| | - Daniel W. Cramer
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Roger L. Milne
- Cancer Epidemiology & Intelligence 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
| | - Stacey J. Winham
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Susanne K. Kjaer
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Francesmary Modugno
- Ovarian Cancer Center of Excellence, Womens Cancer Research Program, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Pamela J. Thompson
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Research Group Genetic Cancer Epidemiology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Nhu D. Le
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
| | - Nico Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Estrid Høgdall
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
- Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - David Huntsman
- British Columbia’s Ovarian Cancer Research (OVCARE) program, Vancouver General Hospital, BC Cancer Agency and University of British Columbia
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Malcolm C. Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Paul D.P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Cancer Prevention and Translational Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
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44
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High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. Int J Mol Sci 2019. [PMID: 30813239 DOI: 10.3390/ijms20040952] [] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Among a litany of malignancies affecting the female reproductive tract, that of the ovary is the most frequently fatal. Moreover, while the steady pace of scientific discovery has fuelled recent ameliorations in the outcomes of many other cancers, the rates of mortality for ovarian cancer have been stagnant since around 1980. Yet despite the grim outlook, progress is being made towards better understanding the fundamental biology of this disease and how its biology in turn influences clinical behaviour. It has long been evident that ovarian cancer is not a unitary disease but rather a multiplicity of distinct malignancies that share a common anatomical site upon presentation. Of these, the high-grade serous subtype predominates in the clinical setting and is responsible for a disproportionate share of the fatalities from all forms of ovarian cancer. This review aims to provide a detailed overview of the clinical-pathological features of ovarian cancer with a particular focus on the high-grade serous subtype. Along with a description of the relevant clinical aspects of this disease, including novel trends in treatment strategies, this text will inform the reader of recent updates to the scientific literature regarding the origin, aetiology and molecular-genetic basis of high-grade serous ovarian cancer (HGSOC).
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45
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High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. Int J Mol Sci 2019. [PMID: 30813239 DOI: 10.3390/ijms20040952]+[] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Among a litany of malignancies affecting the female reproductive tract, that of the ovary is the most frequently fatal. Moreover, while the steady pace of scientific discovery has fuelled recent ameliorations in the outcomes of many other cancers, the rates of mortality for ovarian cancer have been stagnant since around 1980. Yet despite the grim outlook, progress is being made towards better understanding the fundamental biology of this disease and how its biology in turn influences clinical behaviour. It has long been evident that ovarian cancer is not a unitary disease but rather a multiplicity of distinct malignancies that share a common anatomical site upon presentation. Of these, the high-grade serous subtype predominates in the clinical setting and is responsible for a disproportionate share of the fatalities from all forms of ovarian cancer. This review aims to provide a detailed overview of the clinical-pathological features of ovarian cancer with a particular focus on the high-grade serous subtype. Along with a description of the relevant clinical aspects of this disease, including novel trends in treatment strategies, this text will inform the reader of recent updates to the scientific literature regarding the origin, aetiology and molecular-genetic basis of high-grade serous ovarian cancer (HGSOC).
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46
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High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. Int J Mol Sci 2019; 20:ijms20040952. [PMID: 30813239 PMCID: PMC6412907 DOI: 10.3390/ijms20040952] [Citation(s) in RCA: 350] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/13/2019] [Accepted: 02/19/2019] [Indexed: 02/07/2023] Open
Abstract
Among a litany of malignancies affecting the female reproductive tract, that of the ovary is the most frequently fatal. Moreover, while the steady pace of scientific discovery has fuelled recent ameliorations in the outcomes of many other cancers, the rates of mortality for ovarian cancer have been stagnant since around 1980. Yet despite the grim outlook, progress is being made towards better understanding the fundamental biology of this disease and how its biology in turn influences clinical behaviour. It has long been evident that ovarian cancer is not a unitary disease but rather a multiplicity of distinct malignancies that share a common anatomical site upon presentation. Of these, the high-grade serous subtype predominates in the clinical setting and is responsible for a disproportionate share of the fatalities from all forms of ovarian cancer. This review aims to provide a detailed overview of the clinical-pathological features of ovarian cancer with a particular focus on the high-grade serous subtype. Along with a description of the relevant clinical aspects of this disease, including novel trends in treatment strategies, this text will inform the reader of recent updates to the scientific literature regarding the origin, aetiology and molecular-genetic basis of high-grade serous ovarian cancer (HGSOC).
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47
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Elsherif SB, Faria SC, Lall C, Iyer R, Bhosale PR. Ovarian Cancer Genetics and Implications for Imaging and Therapy. J Comput Assist Tomogr 2019; 43:835-845. [DOI: 10.1097/rct.0000000000000932] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Ferrandina G, Amadio G, Marcellusi A, Azzolini E, Puggina A, Pastorino R, Ricciardi W, Scambia G. Bilateral Salpingo-Oophorectomy Versus GnRH Analogue in the Adjuvant Treatment of Premenopausal Breast Cancer Patients: Cost-Effectiveness Evaluation of Breast Cancer Outcome, Ovarian Cancer Prevention and Treatment. Clin Drug Investig 2018; 37:1093-1102. [PMID: 28895089 DOI: 10.1007/s40261-017-0571-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND OBJECTIVE: There is no available evidence to recommend gonadotropin-releasing hormone (GnRH) analogue-based ovarian suppression versus bilateral salpingo-oophorectomy (BSO) in the adjuvant treatment of early breast cancer, since the two approaches are considered equivalent in terms of oncologic outcome. The role of surgical ovarian ablation has been revitalized based on the advances of minimally invasive surgery, and a better understanding of clinical and molecular basis of hereditary breast/ovarian cancer syndromes. The aim of this study is to analyze the cost-effectiveness of laparoscopic BSO and GnRH analogue administration in patients aged 40-49 years with hormone-sensitive breast cancer. METHODS A probabilistic decision tree model was developed to evaluate costs and outcomes of ovarian ablation through laparoscopic BSO, or ovarian suppression through monthly injections of GnRH analogue. Results were expressed as incremental costs per quality-adjusted life years (QALYs) gained. RESULTS Laparoscopic BSO strategy was associated with a lower mean total cost per patient than GnRH treatment, and considering the difference in terms of QALYs, the incremental effectiveness did not demonstrate a notable difference between the two approaches. From the National Health Service perspective, and for a time horizon of 5 years, laparoscopic BSO was the dominant option compared to GnRH treatment; laparoscopic BSO was less expensive than GnRH, €2385 [95% confidence interval (CI) = 2044, 2753] vs €7093 (95% CI = 3409, 12,105), respectively, and more effective. CONCLUSION Surgical ovarian ablation is more cost-effective than GnRH administration in the adjuvant treatment of hormone-sensitive breast cancer patients aged 40-49 years, and the advantage of preventing ovarian cancer through laparoscopic BSO should be considered.
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Affiliation(s)
- Gabriella Ferrandina
- Gynecologic Oncology Unit, Fondazione "Policlinico Universitario A.Gemelli", Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Giulia Amadio
- Gynecologic Oncology Unit, Fondazione "Policlinico Universitario A.Gemelli", Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy.
| | - Andrea Marcellusi
- Economic Evaluation and HTA (CEIS-EEHTA), IGF Department, Faculty of Economics, University of Rome "Tor Vergata", Via Columbia 2, 00133, Rome, Italy
| | - Elena Azzolini
- Department of Public Health, Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Anna Puggina
- Department of Public Health, Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Roberta Pastorino
- Department of Public Health, Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Walter Ricciardi
- Department of Public Health, Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Giovanni Scambia
- Gynecologic Oncology Unit, Fondazione "Policlinico Universitario A.Gemelli", Catholic University, L.go A. Gemelli 8, 00168, Rome, Italy
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49
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Kar SP, Berchuck A, Gayther SA, Goode EL, Moysich KB, Pearce CL, Ramus SJ, Schildkraut JM, Sellers TA, Pharoah PDP. Common Genetic Variation and Susceptibility to Ovarian Cancer: Current Insights and Future Directions. Cancer Epidemiol Biomarkers Prev 2018; 27:395-404. [PMID: 28615364 DOI: 10.1158/1055-9965.epi-17-0315] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 05/24/2017] [Accepted: 06/06/2017] [Indexed: 11/16/2022] Open
Abstract
In this review, we summarize current progress in the genetic epidemiology of epithelial ovarian cancer (EOC), focusing exclusively on elucidating the role of common germline genetic variation in conferring susceptibility to EOC. We provide an overview of the more than 30 EOC risk loci identified to date by genome-wide association studies (GWAS) and describe the contribution of large-scale, cross-cancer type, custom genotyping projects, such as the OncoArray and the Collaborative Oncological Gene-Environment Study, to locus discovery and replication. We discuss the histotype-specific nature of these EOC risk loci, pleiotropy, or overlapping genetic effects between EOC and other hormone-related cancer types, and the application of findings to polygenic risk prediction for EOC. The second part of the article offers a concise review of primarily laboratory-based studies that have led to the identification of several putative EOC susceptibility genes using common variants at the known EOC risk loci as starting points. More global biological insights emerging from network- and pathway-based analyses of GWAS for EOC susceptibility are also highlighted. Finally, we delve into potential future directions, including the need to identify EOC risk loci in non-European populations and the next generation of GWAS functional studies that are likely to involve genome editing to establish the cell type-specific carcinogenic effects of EOC risk variants Cancer Epidemiol Biomarkers Prev; 27(4); 395-404. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Siddhartha P Kar
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Simon A Gayther
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Ellen L Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Susan J Ramus
- School of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Virginia
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
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The association between cancer family history and ovarian cancer risk in BRCA1/2 mutation carriers: can it be explained by the mutation position? Eur J Hum Genet 2018; 26:848-857. [PMID: 29483665 DOI: 10.1038/s41431-018-0111-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 12/07/2017] [Accepted: 01/23/2018] [Indexed: 12/21/2022] Open
Abstract
This observational study aimed to investigate whether the reported association between family history (FH) of breast cancer (BC) or ovarian cancer (OC) and OC risks in BRCA1/2 mutation carriers can be explained by mutation position on the gene. In total, 3310 female BRCA1/2 mutation carriers participating in a nationwide prospective cohort (Hereditary Breast and Ovarian Cancer in the Netherlands) were included. FH was classified according to cancer occurrence in first-degree relatives (BC only, OC only, both, neither) and mutations were classified according to their position on the gene (OC cluster region (OCCR), BC cluster region, neither). The main outcome was OC occurrence. Cox proportional-hazard models were applied to investigate the association between FH and OC risks before and after adjusting for mutation position. Of all women included, 202 were diagnosed with OC. A BC-only FH tended to be associated with lower OC risks when compared with a FH without BC/OC (HR: 0.79, 95% CI: 0.52-1.17; HR: 0.59, 95% CI: 0.33-1.07 for BRCA1 and BRCA2, respectively) while an OC-only FH tended to be associated with higher risks (HR: 1.58, 95% CI: 0.90-2.77; HR: 1.75, 95% CI: 0.70-4.37 for BRCA1 and BRCA2, respectively). After adjusting for mutation position, association between FH and OC risks was slightly smaller in magnitude (HR: 0.85, 95% CI: 0.55-1.30; HR: 0.64, 95% CI: 0.34-1.21 for BC-only FH in BRCA1 and BRCA2, respectively; HR: 1.46, 95% CI: 0.80-2.68; HR: 1.49, 95% CI: 0.44-4.02 for OC-only FH in BRCA1 and BRCA2, respectively), indicating that mutation position explains only part of the association. Considering the magnitude of the observed trend, we do not believe FH should be used to change counseling regarding OC prevention.
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