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Na R, Jordan SJ, DeFazio A, Williams M, Livingstone K, Obermair A, Friedlander M, Grant P, Webb PM. Use of menopausal hormone therapy before and after diagnosis and ovarian cancer survival-A prospective cohort study in Australia. Int J Cancer 2025; 156:280-292. [PMID: 39222307 DOI: 10.1002/ijc.35154] [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: 03/27/2024] [Revised: 07/07/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024]
Abstract
Menopausal hormone therapy (MHT) use before ovarian cancer diagnosis has been associated with improved survival but whether the association varies by type and duration of use is inconclusive; data on MHT use after treatment, particularly the effect on health-related quality of life (HRQOL), are scarce. We investigated survival in women with ovarian cancer according to MHT use before and after diagnosis, and post-treatment MHT use and its association with HRQOL in a prospective nationwide cohort in Australia. We used Cox proportional hazards regression to estimate hazard ratios (HR) and 95% confidence intervals (CI) and propensity scores to reduce confounding by indication. Among 690 women who were peri-/postmenopausal at diagnosis, pre-diagnosis MHT use was associated with a significant 26% improvement in ovarian cancer-specific survival; with a slightly stronger association for high-grade serous carcinoma (HGSC, HR = 0.69, 95%CI 0.54-0.87). The associations did not differ by recency or duration of use. Among women with HGSC who were pre-/perimenopausal or aged ≤55 years at diagnosis (n = 259), MHT use after treatment was not associated with a difference in survival (HR = 1.04, 95%CI 0.48-2.22). Compared to non-users, women who started MHT after treatment reported poorer overall HRQOL before starting MHT and this difference was still seen 1-3 months after starting MHT. In conclusion, pre-diagnosis MHT use was associated with improved survival, particularly in HGSC. Among women ≤55 years, use of MHT following treatment was not associated with poorer survival for HGSC. Further large-scale studies are needed to understand menopause-specific HRQOL issues in ovarian cancer.
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Affiliation(s)
- Renhua Na
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Susan J Jordan
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Anna DeFazio
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Westmead, Australia
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia
| | | | | | - Andreas Obermair
- Queensland Centre for Gynaecological Cancers, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Michael Friedlander
- Department of Medical Oncology, Prince of Wales Hospital and Prince of Wales Clinical School UNSW Sydney, Sydney, Australia
| | - Peter Grant
- Gynaecological Oncology Unit, Mercy Hospital for Women, Melbourne, Australia
| | - Penelope M Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Public Health, University of Queensland, Brisbane, Australia
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2
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Hannibal CG, Baandrup L, Zheng G, Galanakis M, Maltesen T, Hertzum-Larsen R, Kjaer SK. Role of pre-diagnostic reproductive factors on long-term (10 years or greater) survival of epithelial ovarian cancer: The Extreme study. Int J Gynecol Cancer 2025; 35:100025. [PMID: 39878280 DOI: 10.1016/j.ijgc.2024.100025] [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: 10/22/2024] [Accepted: 11/19/2024] [Indexed: 01/31/2025] Open
Abstract
OBJECTIVE Several reproductive factors are associated with ovarian cancer risk but the association with survival is less clear. The main aim was to examine the impact of pre-diagnostic reproductive factors on long-term ovarian cancer survival (≥10 years). METHODS We included all women with epithelial ovarian cancer in Denmark, 1990-2014. Information on reproductive factors and covariates were obtained from nationwide registers. Using pseudo-values, we estimated the absolute and relative 10-year survival probabilities and 95% CIs for each reproductive factor and ovarian cancer overall, restricted to serous tumors and stratified into localized and non-localized tumors. A relative survival probability >1 indicates better survival. Adjusted models considered age, diagnosis year, histology, stage, comorbidity, and income. In a sub-population sensitivity analysis, we also adjusted for residual disease. RESULTS The cohort comprised 11,870 women. In the adjusted models, pre-diagnostic parity (relative survival probability 1.08, 95% CI 1.01 to 1.16) and endometriosis (relative survival probability 1.17, 95% CI 1.02 to 1.34) increased the likelihood of surviving ≥10 years in women with localized cancer. Previous infertility also improved the 10-year survival in women with localized ovarian cancer (relative survival probability 1.18, 95% CI 1.07 to 1.29) and in women with a non-localized tumor (relative survival probability 1.45, 95% CI 1.15 to 1.84). Pre-diagnostic pelvic inflammatory disease enhanced 10-year survival in women with localized serous (relative survival probability 1.24, 95% CI 1.03 to 1.49) and non-localized cancer (relative survival probability 1.35, 95% CI 1.04 to 1.76). Previous tubal ligation or hysterectomy were not significantly associated with 10-year survival. Adjustment for residual disease did not substantially change estimates, except for parity and pelvic inflammatory disease, where the associations disappeared. CONCLUSION Pre-diagnostic reproductive factors, such as endometriosis or infertility, were associated with improved long-term survival. However, causality cannot be established in this observational study, and more research to confirm our findings and into potential mechanisms is warranted.
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Affiliation(s)
| | - Louise Baandrup
- Danish Cancer Institute, Virus, Lifestyle and Genes, Copenhagen, Denmark; University of Copenhagen, Department of Clinical Medicine, Copenhagen, Denmark; Zealand University Hospital, Department of Pathology, Roskilde, Denmark
| | - Guoqiao Zheng
- Danish Cancer Institute, Virus, Lifestyle and Genes, Copenhagen, Denmark
| | - Michael Galanakis
- Danish Cancer Institute, Statistics and Data Analysis, Copenhagen, Denmark
| | - Thomas Maltesen
- Danish Cancer Institute, Statistics and Data Analysis, Copenhagen, Denmark
| | | | - Susanne K Kjaer
- Danish Cancer Institute, Virus, Lifestyle and Genes, Copenhagen, Denmark; University of Copenhagen, Department of Clinical Medicine, Copenhagen, Denmark; Rigshospitalet, Copenhagen University Hospital, Department of Gynecology, Copenhagen, Denmark.
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3
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Poorolajal J, Doosti-Irani A, Karami AM, Fattahi-Darghlou M. A dose-response meta-analysis of the relationship between number of pregnancies and risk of gynecological cancers. Arch Gynecol Obstet 2024; 310:2783-2790. [PMID: 39397087 DOI: 10.1007/s00404-024-07774-x] [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: 03/29/2024] [Accepted: 10/05/2024] [Indexed: 10/15/2024]
Abstract
BACKGROUND Despite several investigations, the association between the number of pregnancies and gynecological cancers remains inconclusive. To address this issue, we conducted a dose-response meta-analysis of observational studies. METHODS We searched PubMed, Web of Science, and Scopus databases up to Jun 8, 2023, to identify observational studies that examined the association between the number of pregnancies and gynecologic cancers. To assess the heterogeneity across studies, we used the χ2 test and I2 statistics. We also explored the possibility of publication bias using Begg's and Egger's tests. The overall effect sizes were reported as odds ratios (ORs) with a 95% confidence interval (CI) using a random-effects model. RESULTS Out of the 87,255 studies initially identified, a total of 101 studies involving 8,230,754 participants were included in the final meta-analysis. Our analysis revealed a positive trend between the number of pregnancies and cervical cancer; however, this association was not found to be statistically significant except for fifth pregnancy. Conversely, our findings showed a significant decreasing trend between the number of pregnancies and the risk of endometrial and ovarian cancers. There was insufficient evidence to establish a relationship between the number of pregnancies and the risk of vaginal, vulvar, and fallopian tube cancers. CONCLUSIONS Our study found a positive trend between the number of pregnancies and cervical cancer and a significant decreasing trend between the number of pregnancies and endometrial and ovarian cancers. These findings may have implications for counseling women about their reproductive health and the potential risks and benefits of pregnancy.
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Affiliation(s)
- Jalal Poorolajal
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Amin Doosti-Irani
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Mohammad Karami
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Marzieh Fattahi-Darghlou
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
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Duus AH, Hannibal CG, Baandrup L, Zheng G, Galanakis M, Maltesen T, Hertzum-Larsen R, Mørch LS, Kjær SK. Prediagnostic use of menopausal hormone therapy and long-term survival of localized epithelial ovarian cancer: The Extreme study. Int J Cancer 2024; 155:19-26. [PMID: 38532545 DOI: 10.1002/ijc.34936] [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: 09/19/2023] [Revised: 02/28/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024]
Abstract
Use of menopausal hormone therapy (MHT) prior to an epithelial ovarian cancer (EOC) diagnosis has been suggested to be associated with improved survival. In a recent nationwide cohort study, we found that prediagnostic long-term MHT use, especially estrogen therapy (ET), was associated with improved long-term survival in women with nonlocalized EOC. Our aim was to investigate the influence of prediagnostic MHT use on long-term survival among women with localized EOC in the same nationwide study. Our study cohort comprised all women aged 50 years or older with an EOC diagnosis in Denmark 2000-2014 (n = 2097) identified from the Extreme study. We collected information on usage of systemic ET and estrogen plus progestin therapy (EPT) from the Danish National Prescription Registry. By using pseudo-values, 5- and 10-year absolute and relative survival probabilities were estimated with 95% confidence intervals (CIs) while adjusting for histology, comorbidity, and income. Relative survival probabilities >1 indicate better survival. The 5-year absolute survival probabilities were 61% and 56%, respectively, among women who were nonusers and users of prediagnostic MHT, whereas these numbers were 46% and 41%, respectively, regarding 10-year survival. Use of MHT was not significantly associated with an improved 5- or 10-year survival in women with localized EOC (5-year relative survival probability = 0.95, 95% CI: 0.89-1.02; 10-year relative survival probability = 0.92, 95% CI: 0.84-1.02). Similar findings were seen for systemic ET or EPT use. Our findings do not suggest a positive benefit from prediagnostic MHT use on long-term survival of localized EOC.
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Affiliation(s)
| | | | - Louise Baandrup
- Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Guoqiao Zheng
- Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark
| | - Michael Galanakis
- Statistics and Data Analysis, Danish Cancer Institute, Copenhagen, Denmark
| | - Thomas Maltesen
- Statistics and Data Analysis, Danish Cancer Institute, Copenhagen, Denmark
| | | | - Lina S Mørch
- Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Institute, Copenhagen, Denmark
| | - Susanne K Kjær
- Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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5
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Huang S, Gongye R, Zou S, Hee JY, Tang K. Menopausal status, age at menopause and risk of all-cause mortality among Chinese women: findings from a 10-year prospective study. BMJ PUBLIC HEALTH 2023; 1:e000332. [PMID: 40017861 PMCID: PMC11816857 DOI: 10.1136/bmjph-2023-000332] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/23/2023] [Indexed: 03/01/2025]
Abstract
Introduction Menopause characteristics (menopausal status and age at menopause) have been implicated in future health consequences. However, evidence of the impact on menopause on total mortality has been inconsistent. The present study aimed to investigate the associations of menopausal status and age at menopause with the risk of all-cause mortality in Chinese women. Methods We used prospective data from the China Kadoorie Biobank cohort study that recruited over 300 000 women aged 30-79 years from 10 regions across China between 2004 and 2008. All participants were prospectively followed up, with a median follow-up of 10.20 years. Cox proportional hazard regression was used to examine HRs with 95% CIs for all-cause mortality associated with menopausal status and age at menopause. Results Compared with premenopausal women, postmenopausal women were at higher risk of all-cause mortality with adjusted HR of 1.11 (95% CI 1.03 to 1.20). Among postmenopausal women, the HRs of total mortality were 1.25 (95% CI 1.14 to 1.36), 1.09 (95% CI 1.03 to 1.15), 0.98 (95% CI 0.94 to 1.02) and 0.97 (95% CI 0.91 to 1.04) for menopause at ages less than 40, 40-44, 50-53 and 54 years or older, respectively, relative to 45-49 years. In addition, for each 1-year increase in age at menopause was associated with a 1% decreased risk of death from all causes (95% CI 0.98 to 0.99). Conclusions Women with postmenopausal status had a higher risk of all-cause mortality than premenopausal women, particularly for ages at menopause younger than 45 years.
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Affiliation(s)
- Sha Huang
- School of Life and Health Sciences, Hainan University, Haikou, China
| | - Ruofan Gongye
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Siyu Zou
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Jia Yi Hee
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Kun Tang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Chen W, Liu H, Huang X, Qian L, Chen L, Zhou Y, Liu Y, Liu Y, Wang Y, Zhang T, Zhou Y, Fang J, Yang J, Ni F, Guo C, Zhou Y. A single-cell landscape of pre- and post-menopausal high-grade serous ovarian cancer ascites. iScience 2023; 26:107712. [PMID: 37701567 PMCID: PMC10493500 DOI: 10.1016/j.isci.2023.107712] [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: 05/12/2023] [Revised: 07/23/2023] [Accepted: 08/23/2023] [Indexed: 09/14/2023] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is a hormone-related cancer with high mortality and poor prognosis. Based on the transcriptome of 57,444 cells in ascites from 10 patients with HGSOC (including 5 pre-menopausal and 5 post-menopausal patients), we identified 14 cell clusters which were further classified into 6 cell types, including T cells, B cells, NK cells, myeloid cells, epithelial cells, and stromal cells. We discovered an increased proportion of epithelial cells and a decreased proportion of T cells in pre-menopausal ascites compared with post-menopausal ascites. GO analysis revealed the pre-menopausal tumor microenvironments (TME) are closely associated with viral infection, while the post-menopausal TME are mostly related to the IL-17 immune pathway. SPP1/CD44-mediated crosstalk between myeloid cells and B cells, NK cells, and stromal cells mainly present in the pre-menopausal group, while SPP1/PTGER4 -mediated crosstalk between myeloid cells and epithelial cells mostly present in the post-menopausal group.
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Affiliation(s)
- Wenying Chen
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Hanyuan Liu
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Xinya Huang
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Lili Qian
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Liang Chen
- Department of Cardiology, The First Affiliated Hospital of USTC, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yonggang Zhou
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Institute of Immunology, University of Science and Technology of China, Hefei, China
| | - Yi Liu
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yujie Liu
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yingying Wang
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Tianjiao Zhang
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Youyang Zhou
- HanGene Biotech, Xiaoshan Innovation Polis, Hangzhou, Zhejiang 31200, China
| | - Jingwen Fang
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
- HanGene Biotech, Xiaoshan Innovation Polis, Hangzhou, Zhejiang 31200, China
| | - Jiaxuan Yang
- HanGene Biotech, Xiaoshan Innovation Polis, Hangzhou, Zhejiang 31200, China
| | - Fang Ni
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Institute of Immunology, University of Science and Technology of China, Hefei, China
- Department of Hematology, The First Affiliated Hospital of USTC, Hefei, Anhui, China
| | - Chuang Guo
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230021, China
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China
| | - Ying Zhou
- Department of Obstetrics and Gynecology, Core Facility Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
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7
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Younis JS. Endometriosis-Associated Ovarian Cancer: What Are the Implications for Women with Intact Endometrioma Planning for a Future Pregnancy? A Reproductive Clinical Outlook. Biomolecules 2022; 12:1721. [PMID: 36421735 PMCID: PMC9688199 DOI: 10.3390/biom12111721] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 08/16/2023] Open
Abstract
Endometriosis is a chronic, universal, and prevalent disease estimated to affect up to 1:10 women of reproductive age. Endometriosis-associated ovarian cancer (EAOC) developing at reproductive age is challenging and of concern for women and practitioners alike. This outlook review focuses on the occurrence of EAOC, especially in infertile women or those planning for a future pregnancy, from the perspective of a reproductive endocrinologist, based on recent evidence. Contemporary pathogenesis, genetic profiles, evidence of causality, clinical diagnosis, prognosis, and up-to-date management are discussed. EAOC seems to be merely associated with endometrioma and includes clear-cell and endometrioid ovarian carcinoma. Although endometrioma is frequently found in women of reproductive age (up to 1:18 of women), EAOC appears to be a rare occurrence. These women are of more advanced reproductive age, nulliparous, and hyperestrogenic, with a large-sized unilateral endometrioma (>9 cm) containing solid components and papillary projections. Each case suspected to have EAOC has specific characteristics, and a multidisciplinary discussion and appropriate patient counseling should be conducted to reach an optimal therapeutic plan. Since most of these cases are diagnosed at an early stage with a favorable prognosis, fertility-sparing surgery may be feasible. The pros and cons of fertility preservation techniques should be discussed.
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Affiliation(s)
- Johnny S. Younis
- Reproductive Medicine, Department of Obstetrics and Gynecology, Baruch-Padeh Medical Center, Poriya 15208, Israel; ; Tel.: +972-505286981; Fax: +972-46737478
- Azrieli Faculty of Medicine in Galilee, Bar-Ilan University, Safed 1311502, Israel
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8
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Harris HR, Guertin KA, Camacho TF, Johnson CE, Wu AH, Moorman PG, Myers E, Bethea TN, Bandera EV, Joslin CE, Ochs-Balcom HM, Peres LC, Rosenow WT, Setiawan VW, Beeghly-Fadiel A, Dempsey LF, Rosenberg L, Schildkraut JM. Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium. Int J Cancer 2022; 151:1228-1239. [PMID: 35633315 PMCID: PMC9420829 DOI: 10.1002/ijc.34141] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 11/07/2022]
Abstract
Black women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline-adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16-1.47) during study follow-up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.
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Affiliation(s)
- Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Kristin A. Guertin
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Tareq F Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Courtney E. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Anna H. Wu
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, Los Angeles, California, USA
| | - Patricia G. Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - Evan Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, USA
| | - Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, D.C., USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, 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
| | - 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
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Will T. 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, Los Angeles, California, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lauren F. Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, 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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9
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Baandrup L, Galanakis M, Hannibal CG, Dehlendorff C, Hertzum-Larsen R, Mørch LS, Kjaer SK. Long-term survival of non-localized epithelial ovarian cancer among women using menopausal hormone therapy prior to diagnosis - the Extreme study. Int J Cancer 2022; 151:1512-1522. [PMID: 35716136 PMCID: PMC9541581 DOI: 10.1002/ijc.34171] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/31/2022] [Accepted: 06/09/2022] [Indexed: 11/17/2022]
Abstract
Prediagnostic use of menopausal hormone therapy (MHT) has been suggested to be associated with improved survival of epithelial ovarian cancer (EOC). We investigated the potential long‐term survival benefit of prediagnostic MHT use in women ≥50 years with nonlocalized EOC using the Extreme study including all women in Denmark registered with nonlocalized EOC during 2000 to 2014 (N = 3776). We obtained individual‐level information on prediagnostic use of systemic estrogen therapy (ET) and estrogen plus progestin therapy (EPT) from the National Prescription Registry and estimated absolute and relative 5‐ and 10‐year survival probabilities with 95% confidence intervals (CIs) using pseudo‐values, taking into account histology, comorbidity, income and residual disease. Among women not having used prediagnostic MHT, 5‐ and 10‐year absolute survival probabilities were 19% and 11%, respectively. Compared to MHT nonusers, prediagnostic systemic ET use for 3 to 4 years and ≥ 5 years was associated with 1.43 (95% CI: 1.01‐2.02) and 1.22 (95% CI: 0.96‐1.55) times higher 5‐year survival probabilities, respectively. Ten‐year survival probabilities were also increased but not statistically significantly. Among prediagnostic EPT users, increased 5‐year (1.14, 95% CI: 0.85‐1.53) and 10‐year (1.38, 95% CI: 0.91‐2.08) survival probabilities were observed after use for 3 to 4 years compared to MHT nonuse, whereas EPT use for ≥5 years was not associated with long‐term survival of nonlocalized EOC. Our findings may suggest a better long‐term survival of nonlocalized EOC in women having used long‐term prediagnostic ET. However, the statistical precision of our results did not allow firm conclusions and more studies are needed.
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Affiliation(s)
- Louise Baandrup
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Michael Galanakis
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Charlotte G Hannibal
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Christian Dehlendorff
- Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Rasmus Hertzum-Larsen
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Lina S Mørch
- Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Susanne K Kjaer
- Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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10
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Phung MT, Alimujiang A, Berchuck A, Anton-Culver H, Schildkraut JM, Bandera EV, Chang-Claude J, Chase A, Doherty JA, Grout B, Goodman MT, Hanley GE, Lee AW, Deurloo CM, Menon U, Modugno F, Pharoah PDP, Pike MC, Richardson J, Risch HA, Sieh W, Terry KL, Webb PM, Wentzensen N, Wu AH, Pearce CL. Reproductive Factors Do Not Influence Survival with Ovarian Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:909-913. [PMID: 35064059 PMCID: PMC9444326 DOI: 10.1158/1055-9965.epi-21-1091] [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: 09/17/2021] [Revised: 11/23/2021] [Accepted: 01/18/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Previous studies on the association between reproductive factors and ovarian cancer survival are equivocal, possibly due to small sample sizes. METHODS Using data on 11,175 people diagnosed with primary invasive epithelial ovarian, fallopian tube, or primary peritoneal cancer (ovarian cancer) from 16 studies in the Ovarian Cancer Association Consortium (OCAC), we examined the associations between survival and age at menarche, combined oral contraceptive use, parity, breastfeeding, age at last pregnancy, and menopausal status using Cox proportional hazard models. The models were adjusted for age at diagnosis, race/ethnicity, education level, and OCAC study and stratified on stage and histotype. RESULTS During the mean follow-up of 6.34 years (SD = 4.80), 6,418 patients passed away (57.4%). There was no evidence of associations between the reproductive factors and survival among patients with ovarian cancer overall or by histotype. CONCLUSIONS This study found no association between reproductive factors and survival after an ovarian cancer diagnosis. IMPACT Reproductive factors are well-established risk factors for ovarian cancer, but they are not associated with survival after a diagnosis of ovarian cancer.
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Affiliation(s)
- Minh Tung Phung
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Aliya Alimujiang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC, 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
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Jennifer Anne Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - 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
| | - Gillian E. Hanley
- University of British Columbia Faculty of Medicine, Department of Obstetrics & Gynecology, Vancouver, Canada
| | - Alice W. Lee
- Department of Public Health, California State University, Fullerton, Fullerton, CA, USA
| | | | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, UCL, London, UK
| | - 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
| | - 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
| | - Malcolm C. Pike
- Department of Preventive Medicine, 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
| | - Jean Richardson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Harvey A. Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Weiva Sieh
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathryn L. Terry
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Penelope M. Webb
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
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11
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Chen P, Zhang CY. Association Between Endometriosis and Prognosis of Ovarian Cancer: An Updated Meta-Analysis. Front Oncol 2022; 12:732322. [PMID: 35433452 PMCID: PMC9008736 DOI: 10.3389/fonc.2022.732322] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveIncreased risk of ovarian cancer (OC) among endometriosis patients has been proposed. However, the association between endometriosis and prognosis of OC remains controversial. This study evaluated whether endometriosis had influence on the survival outcomes of OC through a meta-analysis.MethodsRelevant studies were retrieved from PubMed, Embase, and Web of Science databases and were evaluated using the Newcastle-Ottawa Quality Assessment Scale. Effect size was presented as hazard ratio (HR) and 95% confidence interval (CI). Heterogeneity test evaluation was performed using Cochran’s Q test and I2 statistics. Publication bias was determined using Egger’s test. Statistical analysis was performed using Stata 12.0 software.ResultsTwenty-one studies involving 38641 patients were included. For the total OC, there were significant differences in overall survival (OS) [HR (95% CI)=0.67 (0.55, 0.80), P<0.001] and progression-free survival (PFS) [HR (95% CI)=0.58 (0.42, 0.81), P=0.001] between endometriosis-associated ovarian cancer (EAOC) and non-EAOC patients in the random-effects models (P<0.05). For ovarian clear cell cancer, there were significant differences in terms of OS [HR (95% CI)=0.63 (0.48, 0.83), P=0.001] and PFS [HR (95% CI)=0.67 (0.52, 0.87), P=0.002] between EAOC and non-EAOC patients in the fixed-effects models (P>0.05). Subgroup analysis suggested no significant differences between EAOC and non-EAOC in OS and PFS in the univariate analysis per subgroup, and PFS in the American subgroup (P>0.05).ConclusionEAOC patients tended to have better OS and PFS than non-EAOC patients. Conducting higher quality prospective cohort studies with large sample sizes is recommended to confirm the authenticity of the current study’s results.Systematic Review Registrationhttps://inplasy.com/inplasy-2022-3-0109/.
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12
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Gaitskell K, Hermon C, Barnes I, Pirie K, Floud S, Green J, Beral V, Reeves GK. Ovarian cancer survival by stage, histotype, and pre-diagnostic lifestyle factors, in the prospective UK Million Women Study. Cancer Epidemiol 2022; 76:102074. [PMID: 34942490 PMCID: PMC8785125 DOI: 10.1016/j.canep.2021.102074] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/13/2021] [Accepted: 11/16/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Ovarian cancer is the fifth leading cause of cancer mortality in UK women. Ovarian cancer survival varies by disease stage at diagnosis, but evidence is mixed on the effect of tumour histological type (histotype) and other factors. METHODS 1.3 million UK women completed a detailed health questionnaire in 1996-2001 and were followed for incident cancers and deaths via linkage to national databases. Using Cox regression models, we estimated adjusted relative risks (RRs) of death from ovarian cancer, by stage at diagnosis, tumour histotype, and 16 other personal characteristics of the women. RESULTS During 17.7 years' average follow-up, 13,222 women were diagnosed with ovarian cancer, and 8697 of them died from the disease. Stage at diagnosis was a major determinant of survival (stage IV vs I, RR=10.54, 95% CI: 9.16-12.13). Histotype remained a significant predictor after adjustment for stage and other factors, but associations varied over the follow-up period. Histotype-specific survival was worse for high-grade than low-grade tumours. Survival appeared worse with older age at diagnosis (per 5 years: RR=1.19, 95% CI: 1.15-1.22), higher BMI (per 5-unit increase: RR=1.06, 95% CI: 1.02-1.11), and smoking (current vs never: RR=1.17, 95% CI: 1.07-1.27), but there was little association with 13 other pre-diagnostic reproductive, anthropometric, and lifestyle factors. CONCLUSION Stage at diagnosis is a strong predictor of ovarian cancer survival, but tumour histotype and grade remain predictors of survival even after adjustment for stage and other factors, contributing further evidence of biological dissimilarity between the ovarian cancer histotypes. Obesity and smoking represent potentially-modifiable determinants of survival, but the stronger association with stage suggests that improving earlier diagnosis would have a greater impact on increasing ovarian cancer survival.
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Affiliation(s)
- Kezia Gaitskell
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Department of Histopathology, John Radcliffe Hospital, Oxford, UK.
| | - Carol Hermon
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Isobel Barnes
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Kirstin Pirie
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Sarah Floud
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Jane Green
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Valerie Beral
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Gillian K Reeves
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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13
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Brieger KK, Phung MT, Mukherjee B, Bakulski KM, Anton-Culver H, Bandera EV, Bowtell DDL, Cramer DW, deFazio A, Doherty JA, Fereday S, Fortner RT, Gentry-Maharaj A, Goode EL, Goodman MT, Harris HR, Matsuo K, Menon U, Modugno F, Moysich KB, Qin B, Ramus SJ, Risch HA, Rossing MA, Schildkraut JM, Trabert B, Vierkant RA, Winham SJ, Wentzensen N, Wu AH, Ziogas A, Khoja L, Cho KR, McLean K, Richardson J, Grout B, Chase A, Deurloo CM, Odunsi K, Nelson BH, Brenton JD, Terry KL, Pharoah PDP, Berchuck A, Hanley GE, Webb PM, Pike MC, Pearce CL. High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival. Cancer Epidemiol Biomarkers Prev 2022; 31:443-452. [PMID: 34789471 PMCID: PMC9281656 DOI: 10.1158/1055-9965.epi-21-0977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/16/2021] [Accepted: 11/08/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND There is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects. METHODS This analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data. RESULTS There was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03-1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11-1.54). CONCLUSIONS A higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival. IMPACT Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.
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Affiliation(s)
- Katharine K. Brieger
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Minh Tung Phung
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly M. Bakulski
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, 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
| | - David D. L. Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Daniel W. Cramer
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna deFazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, and The University of Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Jennifer A. Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences. University of Utah. Salt Lake City, UT, USA
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Ellen L. Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Marc T. Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- 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
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, UCL, London, UK
| | - 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
| | - Bo Qin
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Susan J. Ramus
- School of Women’s and Children’s Health, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Harvey A. Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - 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 School of Public Health, Seattle, WA, USA
| | | | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Robert A. Vierkant
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Argyrios Ziogas
- Department of Medicine, University of California Irvine, Irvine, CA, USA
| | - Lilah Khoja
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kathleen R. Cho
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Karen McLean
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jean Richardson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Kunle Odunsi
- Department of Gynecological Oncology, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Brad H. Nelson
- Deeley Research Centre, British Columbia Cancer Agency, Victoria, British Columbia, Canada
| | - James D. Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Kathryn L. Terry
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - 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
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC, USA
| | - Gillian E. Hanley
- University of British Columbia Faculty of Medicine, Department of Obstetrics & Gynecology, Vancouver, Canada
| | - Penelope M. Webb
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Malcolm C. Pike
- Department of Preventive Medicine, 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
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Dehara M, Sachs MC, Kullberg S, Grunewald J, Blomberg A, Arkema EV. Reproductive and hormonal risk factors for sarcoidosis: a nested case–control study. BMC Pulm Med 2022; 22:43. [PMID: 35073900 PMCID: PMC8787880 DOI: 10.1186/s12890-022-01834-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/27/2021] [Indexed: 01/10/2023] Open
Abstract
Abstract
Background
Sarcoidosis incidence peaks in females around the fifth decade of life, which coincides with menopause, suggesting hormonal factors play a role in disease development. We investigated whether longer exposure to reproductive and hormonal factors is associated with reduced sarcoidosis risk.
Methods
We conducted a matched case–control study nested within the Mammography Screening Project. Incident sarcoidosis cases were identified via medical records and matched to controls on birth and questionnaire date (1:4). Information on hormonal factors was obtained through questionnaires prior to sarcoidosis diagnosis. Multilevel modelling was used to estimate adjusted odds ratios with 95% credible intervals (OR; 95% CI).
Results
In total, 32 sarcoidosis cases and 124 controls were included. Higher sarcoidosis odds were associated with older age at menarche (OR 1.19: 95% CI 0.92–1.55), natural menopause versus non-natural (OR 1.53: 95% CI 0.80–2.93), later age at first pregnancy (OR 1.11: 95% CI 0.76–1.63) and ever hormone replacement therapy (HRT) use (OR 1.40: 95% CI 0.76–2.59). Lower odds were associated with older age at menopause (OR 0.90: 95% CI 0.52–1.55), longer duration of oral contraceptive use (OR 0.70: 95% CI 0.45–1.07), longer duration of HRT use (OR 0.61: 95% CI 0.22–1.70), ever local estrogen therapy (LET) use (OR 0.83: 95% CI 0.34–2.04) and longer duration of LET use (OR 0.78: 95% CI 0.21–2.81). However, the CIs could not rule out null associations.
Conclusion
Given the inconsistency and modest magnitude in our estimates, and that the 95% credible intervals included one, it still remains unclear whether longer estrogen exposure is associated with reduced sarcoidosis risk.
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15
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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: 3] [Impact Index Per Article: 0.8] [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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16
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Hermens M, van Altena AM, van der Aa M, Bulten J, van Vliet HA, Siebers AG, Bekkers RL. Ovarian cancer prognosis in women with endometriosis: a retrospective nationwide cohort study of 32,419 women. Am J Obstet Gynecol 2021; 224:284.e1-284.e10. [PMID: 32841629 DOI: 10.1016/j.ajog.2020.08.056] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/24/2020] [Accepted: 08/19/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Contradicting results regarding ovarian cancer prognosis in women with endometriosis have been reported in the literature. Owing to the small sample size of previous studies, larger studies are required to elucidate the role of endometriosis in ovarian cancer prognosis. OBJECTIVE This study aimed to evaluate the survival rate in women with ovarian cancer with or without histologically proven endometriosis in a Dutch population-based cohort. STUDY DESIGN All women with ovarian cancer diagnosed between 1990 and 2015 were identified from the Netherlands Cancer Registry. We linked these women with the Dutch nationwide registry of histopathology and cytopathology (Pathologisch-Anatomisch Landelijk Geautomatiseerd Archief) to identify all women with histologically proven endometriosis. We compared the prognosis of patients with ovarian cancer with and without histologically proven endometriosis. Primary outcome was the overall survival with subgroup analyses stratified by histologic ovarian cancer subtype and stage. Multivariable Cox proportional hazard analysis was used to estimate hazard ratios with 95% confidence intervals. RESULTS We included 32,419 patients with ovarian cancer, of whom 1979 (6.1%) had histologically proven endometriosis. The median age of histologic endometriosis diagnosis was 53 years (interquartile range, 46-62). Of all women with ovarian cancer and endometriosis, 81.2% received a diagnosis of synchronous endometriosis and ovarian cancer. The endometriosis cohort was younger at ovarian cancer diagnosis, had more favorable tumor characteristics, and more often had surgical treatment for ovarian cancer than the women without endometriosis. These variables were included in the multivariable model as confounders. Women with histologically proven endometriosis had a significantly better prognosis in both crude and adjusted analyses (hazard ratio, 0.46; 95% confidence interval, 0.43-0.49; P<.0005, and adjusted hazard ratio, 0.89; 95% confidence interval, 0.83-0.95; P<.05, respectively). CONCLUSION Women with ovarian cancer and histologically proven endometriosis had longer overall survival than women with ovarian cancer without endometriosis, even after adjustment for confounders. Future studies on ovarian cancer treatment and prognosis should consider stratifying by endometriosis status to elucidate its role. Furthermore, women diagnosed as having ovarian cancer and concurrent endometriosis should be explained the role of endometriosis in ovarian cancer survival.
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Brieger KK, Peterson S, Lee AW, Mukherjee B, Bakulski KM, Alimujiang A, Anton-Culver H, Anglesio MS, Bandera EV, Berchuck A, Bowtell DDL, Chenevix-Trench G, Cho KR, Cramer DW, DeFazio A, Doherty JA, Fortner RT, Garsed DW, Gayther SA, Gentry-Maharaj A, Goode EL, Goodman MT, Harris HR, Høgdall E, Huntsman DG, Shen H, Jensen A, Johnatty SE, Jordan SJ, Kjaer SK, Kupryjanczyk J, Lambrechts D, McLean K, Menon U, Modugno F, Moysich K, Ness R, Ramus SJ, Richardson J, Risch H, Rossing MA, Trabert B, Wentzensen N, Ziogas A, Terry KL, Wu AH, Hanley GE, Pharoah P, Webb PM, Pike MC, Pearce CL. Menopausal hormone therapy prior to the diagnosis of ovarian cancer is associated with improved survival. Gynecol Oncol 2020; 158:702-709. [PMID: 32641237 PMCID: PMC7487048 DOI: 10.1016/j.ygyno.2020.06.481] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 06/07/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE Prior studies of menopausal hormone therapy (MHT) and ovarian cancer survival have been limited by lack of hormone regimen detail and insufficient sample sizes. To address these limitations, a comprehensive analysis of 6419 post-menopausal women with pathologically confirmed ovarian carcinoma was conducted to examine the association between MHT use prior to diagnosis and survival. METHODS Data from 15 studies in the Ovarian Cancer Association Consortium were included. MHT use was examined by type (estrogen-only (ET) or estrogen+progestin (EPT)), duration, and recency of use relative to diagnosis. Cox proportional hazards models were used to estimate the association between hormone therapy use and survival. Logistic regression and mediation analysis was used to explore the relationship between MHT use and residual disease following debulking surgery. RESULTS Use of ET or EPT for at least five years prior to diagnosis was associated with better ovarian cancer survival (hazard ratio, 0.80; 95% CI, 0.74 to 0.87). Among women with advanced stage, high-grade serous carcinoma, those who used MHT were less likely to have any macroscopic residual disease at the time of primary debulking surgery (p for trend <0.01 for duration of MHT use). Residual disease mediated some (17%) of the relationship between MHT and survival. CONCLUSIONS Pre-diagnosis MHT use for 5+ years was a favorable prognostic factor for women with ovarian cancer. This large study is consistent with prior smaller studies, and further work is needed to understand the underlying mechanism.
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Affiliation(s)
- Katharine K Brieger
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Siri Peterson
- 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
| | - 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
| | - Kelly M Bakulski
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Aliya Alimujiang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hoda Anton-Culver
- Department of Medicine, University of California Irvine, Irvine, CA, USA
| | - Michael S Anglesio
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada
| | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC, USA
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Kathleen R Cho
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Daniel W Cramer
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna DeFazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Australia; Department of Gynaecological Oncology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Jennifer A Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dale W Garsed
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia
| | | | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Ellen L Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Marc T Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 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, Seattle, WA, 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 G Huntsman
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada; Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, Canada
| | - Hui Shen
- Van Andel Research Institute (VARI), Grand Rapids, MI, USA
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Sharon E Johnatty
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Susan J Jordan
- University of Queensland, School of Public Health, Brisbane, Australia; Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - 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
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium; Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Karen McLean
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Francesmary Modugno
- Womens 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, USA
| | - Kirsten Moysich
- Division of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Roberta Ness
- School of Public Health, University of Texas Health Science Center at Houston (UTHealth), TX, USA
| | - Susan J Ramus
- School of Women's and Children's Health, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Jean Richardson
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney. Sydney, New South Wales, Australia
| | - Harvey Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - 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
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Argyrios Ziogas
- Department of Medicine, University of California Irvine, Irvine, CA, USA
| | - Kathryn L Terry
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gillian E Hanley
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada
| | - Paul 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
| | - Penelope M Webb
- University of Queensland, School of Public Health, Brisbane, Australia; Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, QLD 4006, Australia
| | - Malcolm C Pike
- Department of Preventive Medicine, 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.
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Zhang X, Liu L, Song F, Song Y, Dai H. Ages at menarche and menopause, and mortality among postmenopausal women. Maturitas 2019; 130:50-56. [PMID: 31706436 DOI: 10.1016/j.maturitas.2019.10.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/19/2019] [Accepted: 10/13/2019] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Although both age at menarche and age at menopause may independently affect the risk of cardiovascular diseases and all-cause mortality, their joint association with mortality is less clear. The objectives of this study were to address the relationship between ages at menarche and at menopause with mortality among postmenopausal women. STUDY DESIGN The study included 75,359 U.S. postmenopausal women aged 50-78 years from the Prostate, Lung, Colorectal, and Ovarian (PLCO) cohort. Information on ages at menarche and menopause was self-reported and collected at baseline, by questionnaire. MAIN OUTCOME MEASURES All-cause, cardiovascular and cancer mortality. RESULTS After a median follow-up of 13 years, we identified 7826 deaths among 75,359 women in the PLCO cohort. Compared with women with an age at menarche of 12-13 years and an age at menopause of 45-54 years, the adjusted hazard ratios (95% confidence interval) for all-cause mortality for women with early menarche (≤11 years) and menopause (≤44 years) and those with late menarche (≥14 years) and menopause (≥55 years) were 1.20 (1.09, 1.32) and 0.82 (0.71, 0.96), respectively. This association remained significant in a sensitivity analysis that excluded women who did not undergo natural menopause. The indexes for the additive effect of the combined association showed no excess risk due to an interaction. CONCLUSIONS Early menarche and early menopause seemed to have an exactly additive effect on all-cause mortality. The findings suggest that it is important to evaluate ages at both menarche and menopause rather than to consider either variable on its own in assessing the risk of mortality.
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Affiliation(s)
- Xi Zhang
- Clinical Research Unit, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Luyang Liu
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, PR China
| | - Fengju Song
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, PR China
| | - Yiqing Song
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Hongji Dai
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, PR China.
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Kim SJ, Rosen B, Fan I, Ivanova A, McLaughlin JR, Risch H, Narod SA, Kotsopoulos J. Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer. Br J Cancer 2017; 116:964-971. [PMID: 28208158 PMCID: PMC5379147 DOI: 10.1038/bjc.2017.35] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 01/19/2017] [Accepted: 01/23/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Various epidemiologic factors have been shown to influence the risk of ovarian cancer development. Given the high fatality associated with this disease, it is of interest to evaluate the association of prediagnostic hormonal, reproductive, and lifestyle exposures with ovarian cancer-specific survival. METHODS We included 1421 patients with invasive epithelial ovarian cancer diagnosed in Ontario, Canada. Clinical information was obtained from medical records and prediagnostic exposure information was collected by telephone interview. Survival status was determined by linkage to the Ontario Cancer Registry. Proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for ovarian cancer-specific mortality associated with each exposure. Analyses were stratified by histologic subtype to further investigate the associations of risk factors on ovarian cancer-specific mortality. RESULTS After a mean follow-up of 9.48 years (range 0.59-20.32 years), 655 (46%) women had died of ovarian cancer. Parity (ever) was associated with a significant 29% decreased mortality risk compared with nulliparity (HR=0.71; 95% CI 0.54-0.93; P=0.01). There was a borderline significant association between ever use of oestrogen-containing hormone replacement therapy (HRT) and mortality (HR=0.79; 95% CI 0.62-1.01; P=0.06). A history of cigarette smoking was associated with a significant 25% increased risk of death compared with never smoking (HR=1.25; 95% CI 1.01-1.54; P=0.04). Women with a greater cumulative number of ovulatory cycles had a significantly decreased risk of ovarian cancer-specific death (HR=0.63; 95% CI 0.43-0.94; P=0.02). Increasing BMI (kg m-2) 5 years before diagnosis was associated with an increased risk of death (HR=1.17; 95% CI 1.07-1.28; P=0.0007). Other hormonal or lifestyle factors were not significantly associated with ovarian cancer-specific mortality. CONCLUSIONS Parity, ovulatory cycles, smoking, and BMI may affect survival following the diagnosis of ovarian cancer. Whether or not oestrogen-containing HRT use is beneficial for survival requires further evaluation.
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Affiliation(s)
- Shana J Kim
- Women's College Research Institute, Women's College Hospital, 76 Grenville, Toronto, ON, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Barry Rosen
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON, Canada
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Toronto, 610 University Avenue, Toronto, ON, Canada
| | - Isabel Fan
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Joseph and Wolf Lebovic Health Complex, 600 University Avenue, Toronto, ON, Canada
| | - Anna Ivanova
- Women's College Research Institute, Women's College Hospital, 76 Grenville, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, Toronto, ON, Canada
| | - John R McLaughlin
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Joseph and Wolf Lebovic Health Complex, 600 University Avenue, Toronto, ON, Canada
- Public Health Ontario, Toronto, ON, Canada
| | - Harvey Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, 60 College Street, New Haven, CT, USA
| | - Steven A Narod
- Women's College Research Institute, Women's College Hospital, 76 Grenville, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, Toronto, ON, Canada
| | - Joanne Kotsopoulos
- Women's College Research Institute, Women's College Hospital, 76 Grenville, Toronto, ON, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, Toronto, ON, Canada
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Ma L, Zhang W, Ding Z, Wu SG, Jin Y, Jiang N, Du H, Cai D, Miao L, Chen X. Association of a common variant of SYNPO2 gene with increased risk of serous epithelial ovarian cancer. Tumour Biol 2017; 39:1010428317691185. [PMID: 28231729 DOI: 10.1177/1010428317691185] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
In China, the majority of ovarian cancer patients (80%–90%) are women who are diagnosed with epithelial ovarian cancer. The SYNPO2 gene has recently been reported to be associated with epithelial ovarian cancer in Europeans. To investigate the association of common variants of SYNPO2 gene with epithelial ovarian cancer in Han Chinese individuals, we designed a case–control study with 719 epithelial ovarian cancer patients and 1568 unrelated healthy controls of Han Chinese descent. A total of 49 tagging single-nucleotide polymorphisms were genotyped; single-single-nucleotide polymorphism association, imputation, and haplotypic association analyses were performed. The single-nucleotide polymorphism rs17329882 was found to be strongly associated with serous epithelial ovarian cancer and with ages ≤49 years, consistent with the pre-menopausal status of analyzed epithelial ovarian cancer cases. Odds ratios and 95% confidence intervals provided evidence of the risk effects of the C allele of the single-nucleotide polymorphism on epithelial ovarian cancer. Imputation analyses also confirmed the results with a similar pattern. Additionally, haplotype analyses indicated that the haplotype block that contained rs17329882 was significantly associated with epithelial ovarian cancer risk, specifically with the serous epithelial ovarian cancer subtype. In conclusion, our results show that SYNPO2 gene plays an important role in the etiology of epithelial ovarian cancer, suggesting that this gene may be a potential genetic modifier for developing epithelial ovarian cancer.
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Affiliation(s)
- Li Ma
- Department of Pathology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wei Zhang
- Department of Scientific Research, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zhaoli Ding
- Department of Oncology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Stephen G Wu
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, USA
| | - Yaofeng Jin
- Department of Pathology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Na Jiang
- Department of Pathology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Hongyan Du
- Department of Pathology, Maternity and Children Hospital of Shaanxi Province, Xi’an, China
| | - Dongge Cai
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Li Miao
- Department of Pathology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoli Chen
- Department of Pathology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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