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Webb PM, Jordan SJ. Global epidemiology of epithelial ovarian cancer. Nat Rev Clin Oncol 2024; 21:389-400. [PMID: 38548868 DOI: 10.1038/s41571-024-00881-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/04/2024] [Indexed: 04/26/2024]
Abstract
Globally, ovarian cancer is the eighth most common cancer in women, accounting for an estimated 3.7% of cases and 4.7% of cancer deaths in 2020. Until the early 2000s, age-standardized incidence was highest in northern Europe and North America, but this trend has changed; incidence is now declining in these regions and increasing in parts of eastern Europe and Asia. Ovarian cancer is a very heterogeneous disease and, even among the most common type, namely epithelial ovarian cancer, five major clinically and genetically distinct histotypes exist. Most high-grade serous ovarian carcinomas are now recognized to originate in the fimbrial ends of the fallopian tube. This knowledge has led to more cancers being coded as fallopian tube in origin, which probably explains some of the apparent declines in ovarian cancer incidence, particularly in high-income countries; however, it also suggests that opportunistic salpingectomy offers an important opportunity for prevention. The five histotypes share several reproductive and hormonal risk factors, although differences also exist. In this Review, we summarize the epidemiology of this complex disease, comparing the different histotypes, and consider the potential for prevention. We also discuss how changes in the prevalence of risk and protective factors might have contributed to the observed changes in incidence and what this might mean for incidence in the future.
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Affiliation(s)
- Penelope M Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- School of Public Health, The University of Queensland, Herston, Queensland, Australia.
| | - Susan J Jordan
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
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2
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Phung MT, Lee AW, McLean K, Anton-Culver H, Bandera EV, Carney ME, Chang-Claude J, Cramer DW, Doherty JA, Fortner RT, Goodman MT, Harris HR, Jensen A, Modugno F, Moysich KB, Pharoah PDP, Qin B, Terry KL, Titus LJ, Webb PM, Wu AH, Zeinomar N, Ziogas A, Berchuck A, Cho KR, Hanley GE, Meza R, Mukherjee B, Pike MC, Pearce CL, Trabert B. A framework for assessing interactions for risk stratification models: the example of ovarian cancer. J Natl Cancer Inst 2023; 115:1420-1426. [PMID: 37436712 PMCID: PMC10637032 DOI: 10.1093/jnci/djad137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/08/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023] Open
Abstract
Generally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a 4-criterion framework for assessing interactions that includes statistical, qualitative, biological, and practical approaches. We present the application of this framework in an ovarian cancer setting because this is an important step in developing more accurate risk stratification models. Using data from 9 case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions among 15 unequivocal risk and protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the association among endometriosis, first-degree family history of ovarian cancer, breastfeeding, and depot-medroxyprogesterone acetate use and disease risk, highlighting the importance of understanding multiplicative interactions when developing risk prediction models.
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Affiliation(s)
- Minh Tung Phung
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alice W Lee
- Department of Public Health, California State University, Fullerton, Fullerton, CA, USA
| | - Karen McLean
- Department of Gynecologic Oncology and Department of Pharmacology & Therapeutics, Elm & Carlton Streets, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Hoda Anton-Culver
- Department of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Michael E Carney
- Department of Obstetrics and Gynecology, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Daniel W Cramer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer Anne Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Renee T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Marc T Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, 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
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Allan Jensen
- Department of Lifestyle, Reproduction and Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Francesmary Modugno
- Women’s Cancer Research Center, Magee-Women’s 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
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburg, PA, USA
| | - Kirsten B Moysich
- Division of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Paul D P Pharoah
- Department of Computational Biomedicine, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Bo Qin
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Kathryn L Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Linda J Titus
- Public Health, Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Penelope M Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nur Zeinomar
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Argyrios Ziogas
- Department of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC, USA
| | - Kathleen R Cho
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Gillian E Hanley
- Department of Obstetrics & Gynecology, University of British Columbia Faculty of Medicine, Vancouver, BC, Canada
| | - Rafael Meza
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Bhramar Mukherjee
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Malcolm C Pike
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Britton Trabert
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA
- Cancer Control and Populations Sciences Program, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA
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3
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Shen CT, Tai SY, Tsao YH, Chen FM, Hsieh HM. Abortion and Female Cancer Risks among Women Aged 20 to 45 Years: A 10-Year Longitudinal Population-Based Cohort Study in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3682. [PMID: 36834377 PMCID: PMC9961680 DOI: 10.3390/ijerph20043682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/07/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Female cancers, including breast, cervical, uterine, and ovarian cancer, remain among the ten most common cancers among women worldwide, but the relationship between female cancers and abortion from previous studies is inconsistent. This study aimed to investigate risks of incident female cancers among women aged 20 to 45 years who underwent abortion in Taiwan compared with those who did not. METHOD A longitudinal observational cohort study was conducted using three nationwide population-based databases in Taiwan, focusing on 20- to 45-year-old women, with 10 years of follow-up. Matched cohorts were identified with propensity score 1-to-3 matching between 269,050 women who underwent abortion and 807,150 who did not. Multivariable Cox proportional hazard modeling was used for analysis after adjusting for covariates including age, average monthly payroll, fertility, diabetes mellitus, polycystic ovarian syndrome, endometrial hyperplasia, endometriosis, hormone-related drugs, and Charlson comorbidity index. RESULTS We found lower risk of uterine cancer (hazard ratio [HR]: 0.77, 95% CI: 0.70-0.85) and ovarian cancer (HR: 0.81, 95% CI: 0.75-0.88), but no significant difference in risk of breast cancer or cervical cancer, among matched abortion compared with non-abortion cohorts. Regarding subgroup analysis, cervical cancer risk was higher for parous women who underwent abortion, and uterine cancer risk was lower for nulliparous women who underwent abortion compared with non-abortion groups. CONCLUSIONS Abortion was related to lower uterine and ovarian cancer risk but was not associated with risks of incident breast cancer or cervical cancer. Longer follow-up may be necessary to observe risks of female cancers at older ages.
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Affiliation(s)
- Cheng-Ting Shen
- Department of Family Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Shu-Yu Tai
- Department of Family Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Department of Family Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Yu-Hsiang Tsao
- Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Fang-Ming Chen
- Department of Surgery, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan
- Department of Community Medicine, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan
- Center for Big Data Research, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
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Yu L, Sun J, Wang Q, Yu W, Wang A, Zhu S, Xu W, Wang X. Ovulation induction drug and ovarian cancer: an updated systematic review and meta-analysis. J Ovarian Res 2023; 16:22. [PMID: 36694251 PMCID: PMC9872323 DOI: 10.1186/s13048-022-01084-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/17/2022] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVE To explore the association between ovulation induction drugs and ovarian cancer. DESIGN Systematic review and meta-analysis. SETTING Not applicable. PATIENT(S) Women without ovarian cancer who ever or never underwent ovarian induction. INTERVENTION(S) An extensive electronic search of the following databases was performed: PubMed, EMBASE, MEDLINE, Google Scholar, Cochrane Library and CNKI, from inception until January 2022. A total of 34 studies fulfilled our inclusion criteria and were included in the final meta-analysis. The odds ratio (OR) and random-effects model were used to estimate the pooled effects. The Newcastle-Ottawa Scale was used to assess the quality of included studies. Funnel plots and Egger tests were used to assess publication bias. MAIN OUTCOMES New diagnosed borderline ovarian tumor (BOT) and invasive ovarian cancer (IOC) between ovulation induction (OI) group and control (CT) group considering fertility outcome, OI cycles and specific OI drugs. RESULTS Primarily, there was no significant difference in the incidence of IOC and BOT between the OI and CT groups. Secondly, OI treatment did not increase the risk of IOC and BOT in the multiparous women, nor did it increase the risk of IOC in the nulliparous women. However, the risk of BOT appeared to be higher in nulliparous women treated with OI treatment. Thirdly, among women exposed to OI, the risk of IOC and BOT was higher in nulliparous women than in multiparous women. Fourthly, the risk of IOC did not increase with increasing OI cycles. Lastly, exposure to specific OI drugs also did not contribute to the risk of IOC and BOT. CONCLUSION Overall, OI treatment did not increase the risk of IOC and BOT in most women, regardless of OI drug type and OI cycle. However, nulliparous women treated with OI showed a higher risk of ovarian cancer, necessitating their rigorous monitoring and ongoing follow-up.
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Affiliation(s)
- Liang Yu
- grid.89957.3a0000 0000 9255 8984The First Affiliated Hospital of Nanjing Medical University, The First Clinical Medical College of Nanjing Medical University, Nanjing, 210029 China
| | - Jiafan Sun
- grid.89957.3a0000 0000 9255 8984The First Affiliated Hospital of Nanjing Medical University, The First Clinical Medical College of Nanjing Medical University, Nanjing, 210029 China
| | - Qiqin Wang
- grid.89957.3a0000 0000 9255 8984The First Affiliated Hospital of Nanjing Medical University, The First Clinical Medical College of Nanjing Medical University, Nanjing, 210029 China
| | - Wennian Yu
- grid.89957.3a0000 0000 9255 8984The First Affiliated Hospital of Nanjing Medical University, The First Clinical Medical College of Nanjing Medical University, Nanjing, 210029 China
| | - Anqi Wang
- grid.89957.3a0000 0000 9255 8984The First Affiliated Hospital of Nanjing Medical University, The First Clinical Medical College of Nanjing Medical University, Nanjing, 210029 China
| | - Shu Zhu
- grid.412676.00000 0004 1799 0784Department of Gynecology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University,The first clinical medical college of Nanjing Medical University, Nanjing, 210029 China
| | - Wei Xu
- grid.412676.00000 0004 1799 0784Department of Gynecology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University,The first clinical medical college of Nanjing Medical University, Nanjing, 210029 China
| | - Xiuli Wang
- grid.412676.00000 0004 1799 0784Department of Gynecology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University,The first clinical medical college of Nanjing Medical University, Nanjing, 210029 China ,grid.412676.00000 0004 1799 0784Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210036 China
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Husby A, Wohlfahrt J, Melbye M. Pregnancy duration and ovarian cancer risk: A 50-year nationwide cohort study. Int J Cancer 2022; 151:1717-1725. [PMID: 35751416 PMCID: PMC9796914 DOI: 10.1002/ijc.34192] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 06/16/2022] [Accepted: 06/21/2022] [Indexed: 01/07/2023]
Abstract
A woman's reproductive history is strongly associated with her risk of ovarian cancer. However, it is unclear how pregnancies of different duration impact a woman's ovarian cancer risk, and therefore, what part of a pregnancy explains the protective effect. Using a cohort of all Danish women followed from 1968 to 2018, with prospectively registered information on reproductive history (eg, gestational duration of pregnancies, tubal ligation and resection and hormonal pharmaceutical use), we investigated the effect of pregnancy duration on ovarian cancer risk. We adjusted for potential confounders, such as age at pregnancy and time since pregnancy, using log-linear Poisson regression to isolate the effect of pregnancy duration on ovarian cancer risk. Among 2.5 million Danish women with 4.4 million pregnancies, a pregnancy was associated with a reduction of ovarian cancer risk of 21% (95% CI, 14%-28%), 26% (95% CI, 21%-31%), 12% (95% CI, 7%-17%) and 3% (95% CI, -5% to 11%) compared to one less, for the first, second, third and fourth pregnancy, respectively (P < .001 for heterogeneity), with similar effects of induced abortions, spontaneous abortions and childbirths. Sensitivity analysis of age at pregnancy, time since pregnancy and other potential confounders did not change these findings. The reduced ovarian cancer risk associated with pregnancy is primarily driven by the first three pregnancies, with similar effects of induced abortion, spontaneous abortions and childbirth, suggesting that mainly exposure to early pregnancy factors, and not pregnancy duration, protect against ovarian cancer.
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Affiliation(s)
- Anders Husby
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK,Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
| | - Jan Wohlfahrt
- Department of Epidemiology ResearchStatens Serum InstitutCopenhagenDenmark
| | - Mads Melbye
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark,Department of MedicineStanford University School of MedicineStanfordCaliforniaUSA,Centre for Fertility and HealthNorwegian Institute of Public HealthOsloNorway,K.G. Jebsen Center for Genetic EpidemiologyNorwegian University of Science and TechnologyTrondheimNorway
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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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Lawton FG, Pavlik EJ. Perspectives on Ovarian Cancer 1809 to 2022 and Beyond. Diagnostics (Basel) 2022; 12:diagnostics12040791. [PMID: 35453839 PMCID: PMC9024743 DOI: 10.3390/diagnostics12040791] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/11/2022] [Accepted: 03/12/2022] [Indexed: 11/16/2022] Open
Abstract
Unlike many other malignancies, overall survival for women with epithelial ovarian cancer has improved only modestly over the last half-century. The perspectives presented here detail the views of a gynecologic oncologist looking back and the view of the academic editor looking forward. Surgical beginnings in 1809 are merged with genomics, surgical advances, and precision therapy at present and for the future. Presentations in this special issue focus on factors related to the diagnosis of ovarian cancer: (1) markers for the preoperative assessment of primary and metastatic ovarian tumors, (2) demonstrations of the presence of pelvic fluid in ultrasound studies of ovarian malignancies, (3) the effects of age, menopausal status, and body habitus on ovarian visualization, (4) the ability of OVA1 to detect ovarian cancers when Ca125 was not informative, (5) the detection of tumor-specific changes in cell adhesion molecules by tissue-based staining, (6) presentation of a high discrimination model for ovarian cancer using IOTA Simple Rules and CA125, (7) review of low-grade serous carcinoma of the ovary, and (8) a comprehensive case report on ovarian carcinosarcoma.
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Affiliation(s)
- Frank G. Lawton
- Gynaecological Cancer Surgeon South East London Gynaecological Cancer Centre, Guy’s and St Thomas’ NHS Trust, London SE1 7EH, UK;
| | - Edward J. Pavlik
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Kentucky Chandler Medical Center-Markey Cancer Center, Lexington, KY 40536, USA
- Correspondence: ; Tel.: +1-859-321-9313
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8
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Luo Y, Wu H, Huang Q, Rao H, Yu Z, Zhong Z. The Features of BRCA1 and BRCA2 Germline Mutations in Hakka Ovarian Cancer Patients: BRCA1 C.536 A>T Maybe a Founder Mutation in This Population. Int J Gen Med 2022; 15:2773-2786. [PMID: 35300142 PMCID: PMC8922037 DOI: 10.2147/ijgm.s355755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/01/2022] [Indexed: 12/24/2022] Open
Abstract
Objective To investigate the frequencies of BRCA1 and BRCA2 mutations in Chinese Hakka patients with ovarian cancer. Methods The protein coding regions and exon intron boundary regions of the BRCA gene were sequenced using genomic DNA isolated from the lymphocytes of patients with next-generation sequencing. The patients’ family history and clinical records were collected. Results A total of 195 patients with ovarian cancer were included in the study, and 52 distinct variants of the BRCA gene were identified. It was found that 64 patients (64/195, 32.8%) had BRCA gene mutations, including 32 patients (50.0%) with BRCA1 mutation, 27 patients (42.2%) with BRCA2 mutation, and 5 patients (7.8%) with both mutations. Furthermore, 22 pathogenic mutations were detected in 26 patients, 2 likely pathogenic variants in 2 patients, 12 variants of uncertain significance in 20 patients, and 16 likely benign variants in 24 patients. The mutations were mainly found to occur in exons 8, 14, and 17 of BRCA1 and exons 10, 11, 14, and 15 of BRCA2. The results showed that the BRCA genes possess different mutation hotspots in different ethnic groups. In addition, recurrent mutations were noted in many patients. BRCA1 c.536 A>T, considered a founder mutation, was identified in 10 patients (15.63%, 10/64), followed by BRCA1 c.2635 G>T (6.25%, 4/64) and BRCA2 c.2566 T>C (6.25%, 4/64). Conclusion The BRCA1 c.536 A>T could be considered to be a founder mutation in this ovarian cancer population. This recurrent BRCA1 mutation has rarely been observed in other ethnic groups. Our findings are expected to provide valuable data for clinical consultation and for designing individualized treatment for ovarian cancer.
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Affiliation(s)
- Yu Luo
- Department of Gynaecology, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Heming Wu
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Qingyan Huang
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Hui Rao
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Zhikang Yu
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Correspondence: Zhikang Yu; Zhixiong Zhong, Center for Precision Medicine, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, No. 63 Huangtang Road, Meijiang District, Meizhou, 514031, People’s Republic of China, Tel +753-2131-591, Email ;
| | - Zhixiong Zhong
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
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Sköld C, Koliadi A, Enblad G, Stålberg K, Glimelius I. Parity is associated with better prognosis in ovarian germ cell tumors, but not in other ovarian cancer subtypes. Int J Cancer 2021; 150:773-781. [PMID: 34648676 DOI: 10.1002/ijc.33844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/10/2021] [Accepted: 09/22/2021] [Indexed: 11/09/2022]
Abstract
Ovarian cancer is influenced by reproductive factors, with a reduced risk of epithelial ovarian cancer in parous women. Nonepithelial ovarian cancer frequently affects young women and often precedes or occurs during the childbearing years. However, the impact of reproductive factors on ovarian cancer survival remains unclear: in epithelial ovarian cancer, data are conflicting, and subtype-specific associations have not been examined, and in nonepithelial ovarian cancer, it has not been studied. Using Swedish registers, we evaluated associations between women's reproductive history and cancer-specific mortality by subtype of epithelial and nonepithelial ovarian cancer in 3791 women born 1953 and later, diagnosed from 1990 to 2018. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated using Cox-proportional hazard models. Parity was associated with a 78% decreased risk of cause-specific mortality in 243 women with germ cell tumors (GCTs) (parous vs nulliparous, adjusted for age at diagnosis: HR: 0.22 [95% CI 0.07-0.62]), with a decreased risk with increasing number of births (per birth: HR: 0.60 [95% CI 0.38-0.95]). We found no evidence of associations between parity and cause-specific mortality among the 334 patients with sex-cord stromal tumors, nor among the 3214 patients with epithelial ovarian cancer; neither overall, nor by subtype. In conclusion, in our large, population-based study, parity was associated with a clearly better prognosis in GCTs but not in the other ovarian cancer subtypes. Future research on how hormone exposure impacts GCT development may lead to a better understanding of mechanisms affecting survival.
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Affiliation(s)
- Camilla Sköld
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Anthoula Koliadi
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Gunilla Enblad
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Karin Stålberg
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Ingrid Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.,Department of Medicine, Division of Clinical Epidemiology, Karolinska Institutet, Stockholm, Sweden
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