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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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2
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Hannibal CG, Kjaer SK, Galanakis M, Hertzum-Larsen R, Maltesen T, Baandrup L. History of autoimmune disease and long-term survival of epithelial ovarian cancer: The extreme study. Gynecol Oncol 2024; 182:1-6. [PMID: 38246041 DOI: 10.1016/j.ygyno.2023.12.024] [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: 09/02/2023] [Revised: 12/14/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVE Patients with autoimmune disease may have impaired cancer survival. The aim was to investigate the association between autoimmune disease and ovarian cancer survival. METHODS From the Extreme study, we included women diagnosed with epithelial ovarian cancer (EOC) in Denmark during 1990-2014 (n = 11,870). Information on exposure and covariates was retrieved from nationwide registries. Using pseudo-values, we estimated absolute and relative 5- and 10-year survival probabilities with 95% confidence intervals (CIs) for autoimmune diseases combined and for the four most common individual disorders in our study population, namely type 1 diabetes, rheumatoid arthritis, Graves' disease, and inflammatory bowel disease. RESULTS The overall 5- and 10-year absolute survival probabilities were 35% and 24%, respectively, in women with EOC without autoimmune disease. Autoimmune diseases combined was not significantly associated with survival among women with EOC (5-year adjusted relative survival probability = 1.01, 95% CI: 0.94-1.09; 10-year adjusted relative survival probability = 0.90, 95% CI: 0.81-1.00). However, stratification by disease stage showed an impaired 10-year survival in women with autoimmune disease and a localized EOC (relative survival probability = 0.86, 95% CI: 0.76-0.97). None of the individual autoimmune diseases were statistically significantly associated with EOC survival. CONCLUSIONS Only among women with localized EOC, there seemed to be a long-term survival loss associated with a history of autoimmune disease. In contrast, no significant association between a history of autoimmune disease and survival was observed in women with nonlocalized EOC where the survival is already low.
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Affiliation(s)
| | - Susanne K Kjaer
- Unit of Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark; Department of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Michael Galanakis
- Unit of Statistics and Data Analysis, Danish Cancer Institute, Copenhagen, Denmark
| | | | - Thomas Maltesen
- Unit of Statistics and Data Analysis, Danish Cancer Institute, Copenhagen, Denmark
| | - Louise Baandrup
- Unit of Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
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3
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Cartmel B, Li F, Zhou Y, Gottlieb L, Lu L, Mszar R, Harrigan M, Ligibel JA, Gogoi R, Schwartz PE, Risch HA, Irwin ML. Randomized trial of exercise on cancer-related blood biomarkers and survival in women with ovarian cancer. Cancer Med 2023; 12:15492-15503. [PMID: 37269192 PMCID: PMC10417064 DOI: 10.1002/cam4.6187] [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: 10/13/2022] [Revised: 04/13/2023] [Accepted: 05/21/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND In randomized trials in women with breast cancer, exercise has been shown to have beneficial effects on cancer-related circulating biomarkers that may impact survival. Such studies are lacking for ovarian cancer. METHODS This secondary analysis of a published randomized controlled trial examined the impact of a 6-month exercise intervention versus attention-control on change in prespecified circulating biomarkers (cancer antigen 125 (CA-125), C-reactive protein (CRP), insulin-like growth factor-1(IGF-1), insulin and leptin) in a subset of participants who provided a fasting blood draw (N = 104/144) at enrollment and at 6 months. Change in biomarkers between study arms was compared using a linear mixed effects model analysis. An exploratory analysis of the exercise intervention versus attention-control on all-cause mortality included all (N = 144) participants. All statistical tests were two-sided. RESULTS Participants included in the biomarker analysis were 57.0 ± 8.8 (mean ± SD) years old and 1.6 ± 0.9 years post-diagnosis. Adherence to the exercise intervention was 176.4 ± 63.5 min/week. Post intervention IGF-1 (group difference in change: -14.2 (-26.1 to -2.3) ng/mL (least squared means (95% CI))) and leptin (-8.9 (-16.5 to -1.4) ng/mL) were significantly reduced in the exercise group (N = 53) compared to those in attention-control (N = 51). No group difference in change was seen for CA-125 (p = 0.54), CRP (p = 0.95), or insulin (p = 0.37). With median follow-up of 70 months [range 6.6-105.4 months], 50/144 (34.7%) (exercise group; 24/74 (32.4%) versus attention-control group; 26/70 (37.1%)) participants died with no between group difference in overall survival (p = 0.99). CONCLUSIONS Further studies are needed to determine the clinical significance of exercise-induced changes in cancer-related circulating biomarkers in women with ovarian cancer.
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Affiliation(s)
- Brenda Cartmel
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
- Yale Cancer CenterNew HavenConnecticutUSA
| | - Fang‐yong Li
- Department of BiostatisticsYale School of Public HealthNew HavenConnecticutUSA
| | - Yang Zhou
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
- Yale Cancer CenterNew HavenConnecticutUSA
| | - Linda Gottlieb
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
| | - Lingeng Lu
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
- Yale Cancer CenterNew HavenConnecticutUSA
| | - Reed Mszar
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
| | - Maura Harrigan
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
| | - Jennifer A. Ligibel
- Department of Medical OncologyDana‐Farber Cancer InstituteBostonMassachusettsUSA
| | - Radhika Gogoi
- Gynecologic Oncology, Women and Children's InstituteGeisinger Health SystemDanvillePennsylvaniaUSA
- Present address:
Department of Obstetrics & GynecologyWayne State UniversityDetroitMichiganUSA
| | - Peter E. Schwartz
- Yale Cancer CenterNew HavenConnecticutUSA
- Section of Medical Oncology, Department of Internal MedicineYale School of MedicineNew HavenConnecticutUSA
| | - Harvey A. Risch
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
- Yale Cancer CenterNew HavenConnecticutUSA
| | - Melinda L. Irwin
- Department of Chronic Disease EpidemiologyYale School of Public HealthNew HavenConnecticutUSA
- Yale Cancer CenterNew HavenConnecticutUSA
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Xiang H, Yang F, Zheng X, Pan B, Ju M, Xu S, Zheng M. A Nomogram for Preoperative Prediction of the Risk of Lymph Node Metastasis in Patients with Epithelial Ovarian Cancer. Curr Oncol 2023; 30:3289-3300. [PMID: 36975463 PMCID: PMC10047242 DOI: 10.3390/curroncol30030250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/02/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Objective: To develop a nomogram for predicting lymph node metastasis (LNM) in patients with epithelial ovarian cancer (EOC). Methods: Between December 2012 and August 2022, patients with EOC who received computed tomography (CT) and serological examinations and were treated with upfront staging or debulking surgery were included. Systematic pelvic and para-aortic lymphadenectomy was performed in all patients. Univariate and multivariate analysis was used to identify significant risk factors associated with LNM. A nomogram was then constructed to assess the risk of LNM, which was evaluated with respect to its area under the receiver operating characteristic curve (AUC), calibration, and clinical usefulness. Results: Of 212 patients enrolled in this study, 78 (36.8%) had positive LNs. The nomogram integrating CT-reported LN status, child-bearing status, tumour laterality, and stage showed good calibration and discrimination with an AUC of 0.775, significantly improving performance over the CT results (0.699, p = 0.0002) with a net reclassification improvement of 0.593 (p < 0.001) and integrated discrimination improvement of 0.054 (p < 0.001). The decision curve analysis showed the nomogram was of clinical use. Conclusions: A nomogram was constructed and internally validated, which may act as a decision aid in patients with EOC being considered for systemic lymphadenectomy.
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Thomson CA, Crane TE, Miller A, Gold MA, Powell M, Bixel K, Van Le L, DiSilvestro P, Ratner E, Lele S, Guntupalli S, Huh W, Robertson SE, Modesitt S, Casey AC, Basen-Engquist K, Skiba M, Walker J, Kachnic L, Alberts DS. Lifestyle intervention in ovarian cancer enhanced survival (LIVES) study (NRG/GOG0225): Recruitment, retention and baseline characteristics of a randomized trial of diet and physical activity in ovarian cancer survivors. Gynecol Oncol 2023; 170:11-18. [PMID: 36608382 PMCID: PMC10023359 DOI: 10.1016/j.ygyno.2022.12.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/16/2022] [Accepted: 12/26/2022] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The Lifestyle Intervention for oVarian cancer Enhanced Survival (LIVES) is a national study of a combined diet and physical activity intervention for stage II-IV ovarian cancer survival, an under-represented cancer in lifestyle behavioral intervention research. Here, we present the data on recruitment, retention, and baseline demographic, clinical and lifestyle behavior characteristics of the LIVES study participants. METHODS The LIVES study (NRG Oncology/GOG 0225) is a Phase III diet plus physical activity intervention trial testing the hypothesis that ovarian cancer survivors in the lifestyle intervention will demonstrate better progression-free survival than those in the control condition. Study interventions were delivered via centralized telephone-based health coaching. Baseline descriptive statistics were computed for demographic, clinical, and lifestyle behavior characteristics. RESULTS The LIVES study exceeded its recruitment goals, enrolling 1205 ovarian cancer survivors from 195 NRG/NCORP-affiliated oncology practices across 49 states from 2012 to 2018. The mean age of enrollees was 59.6 years; the majority (69.4%) with stage III disease; 89% White, 5.5% Hispanic; 64% overweight/obese. Baseline self-reported diet showed a mean daily intake of 6.6 servings of fruit and vegetables, 62.7 fat grams, and 21.7 g of fiber. Physical activity averaged 13.0 MET-hours/week of moderate to vigorous physical activity; 50.9 h/week of sedentary time. Retention rates exceeded 88%. CONCLUSION The LIVES study demonstrates efficiency in recruiting and retaining ovarian cancer survivors in a 24-month study of diet and physical activity intervention with a primary endpoint of progression free survival that will be reported. TRIAL REGISTRATION ClinicalTrials.govNCT00719303.
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Affiliation(s)
- Cynthia A Thomson
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | - Tracy E Crane
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA; Division of Medical Oncology, Miller School of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
| | - Austin Miller
- NRG Oncology, Clinical Trials Development Division, Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
| | - Michael A Gold
- Oklahoma Cancer Specialists and Research Institute, Tulsa, OK, USA.
| | - Matthew Powell
- Washington University School of Medicine, St. Louis, MO, USA.
| | - Kristin Bixel
- Ohio State University Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
| | - Linda Van Le
- University of North Carolina School of Medicine, UNC Hospitals, 101 Manning Dr, Chapel Hill, NC, USA.
| | | | - Elena Ratner
- Yale University School of Medicine, New Haven, CT, USA.
| | | | - Saketh Guntupalli
- University of Colorado Cancer Center - Anschutz Cancer Pavilion, Aurora, CO, USA.
| | - Warner Huh
- University of Alabama at Birmingham Hospital, Birmingham, AL, USA.
| | | | - Susan Modesitt
- University of Virginia, Emily Couric Clinical Cancer Center, Charlottesville, VA, USA.
| | | | - Karen Basen-Engquist
- Professor of Behavioral Science, Director of the Center for Energy Balance in Cancer Prevention & Survivorship, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Meghan Skiba
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | - Joan Walker
- University of Oklahoma, Oklahoma City, OK, USA.
| | - Lisa Kachnic
- Columbia University, Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
| | - David S Alberts
- Medicine, Pharmacology, Public Health, Nutritional Sciences & BIO5, Emeritus, University of Arizona Cancer Center, Tucson, AZ, 85719, USA.
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6
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Kotsopoulos J, Zamani N, Rosen B, McLaughlin JR, Risch HA, Kim SJ, Sun P, Akbari MR, Narod SA. Impact of germline mutations in cancer-predisposing genes on long-term survival in patients with epithelial ovarian cancer. Br J Cancer 2022; 127:879-885. [PMID: 35710751 DOI: 10.1038/s41416-022-01840-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/18/2022] [Accepted: 04/29/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Several clinical and tumour factors impact on ovarian cancer survival. It is important to evaluate if germline mutations impact long-term outcomes among patients with epithelial ovarian cancer. METHODS We followed 1422 Ontario women with ovarian cancer. Clinical information was obtained from medical records and vital status was determined by registry linkage. Germline genetic testing was performed for 12 susceptibility genes. We estimated 20-year cancer-specific survival according to various factors. RESULTS Twenty-year survival was inferior for women with serous cancers vs. other types (22.3% vs. 68.6%; P < 0.0001). Of the 1422 patients, 248 (17.4%) carried a germline mutation; 119 BRCA1; 75 BRCA2; 7 in a mismatch repair (MMR) gene and 47 in one of seven other genes. Among serous patients, 20-year survival was 28.9% for similar for women with a BRCA1 (28.9%), BRCA2 (21.2%) or no mutation (21.6%). Among endometrioid patients, 20-year survival was poor for women with a BRCA vs. no mutation (47.3% vs. 70.4%; P = 0.004). Six of the seven MMR mutation carriers are currently alive, while all three PALB2 mutation carriers died within 3 years of diagnosis. Among women with Stage III/IV serous cancers, 20-year survival was 9.4% for those with vs. 46.5% for those with no residual disease (HR = 2.91; 95% CI 2.12-4.09, P < 0.0001). CONCLUSIONS The most important predictor of long-term survival was no residual disease post surgery. BRCA mutation status was not predictive of long-term survival while those with MMR mutations had excellent survival. Larger studies on PALB2 carriers are needed.
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Affiliation(s)
- Joanne Kotsopoulos
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, 6th Floor, Toronto, ON, Canada
| | - Neda Zamani
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Barry Rosen
- Beaumont Gynecology Oncology - Royal Oak 3577 West 13 Mile Road, Rose Cancer Treatment Center, Royal Oak, MI, USA
| | - John R McLaughlin
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, 6th Floor, Toronto, ON, Canada.,Canadian Partnership for Tomorrow's Health, Toronto, ON, Canada
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, 60 College St., New Haven, CT, USA
| | - Shana J Kim
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, 6th Floor, Toronto, ON, Canada
| | - Ping Sun
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada
| | - Mohammad Reza Akbari
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, 6th Floor, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Steven A Narod
- Women's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, Canada. .,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Science Building, 6th Floor, Toronto, ON, Canada. .,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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7
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Gong TT, Liu FH, Liu YS, Yan S, Xu HL, He XH, Wei YF, Qin X, Gao S, Zhao YH, Wu QJ. A Follow-Up Study of Ovarian Cancer (OOPS): A Study Protocol. Front Nutr 2022; 9:872773. [PMID: 35782924 PMCID: PMC9248802 DOI: 10.3389/fnut.2022.872773] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/09/2022] [Indexed: 01/15/2023] Open
Abstract
The ovarian cancer (OC) follow-up study (OOPS) is an on-going hospital-based large prospective longitudinal cohort study aimed to explore the relationship between pre/post-diagnostic biological, clinical, environmental, and lifestyle factors with focus on the diet and OC prognosis (including drug resistance, relapse, and mortality). Patients recruited during the baseline survey were between 18 and 79 years old, with histologically confirmed OC diagnosis. Their follow-up and medical treatment were conducted at the gynecological oncology ward at Shengjing Hospital of China Medical University, Shenyang, China after 2015. A total of 703 OC patients made up the final OOPS study population. The follow-up stage was conducted in both passive and active modes. In the passive mode, the follow-up was performed by linkage to the Liaoning Providence Center for Disease Control and Prevention every 6 months to obtain health outcome results. The status of lifestyle factors was re-estimated using the same measurements as those in the baseline survey. OC participants in the OOPS study completed a questionnaire and anthropometric examinations. In addition, biological specimens were collected during the baseline survey, which included blood, urine, and stool samples that were stored for further use. This article is intended to serve as an introduction to this project and to provide details for investigators who may be carry out related analysis.
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Affiliation(s)
- Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ya-Shu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xin-Hui He
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Qi-Jun Wu
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8
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Hu PZ, Chen XY, Xiong W, Yang ZJ, Li XR, Deng WZ, Gong LN, Deng H, Yuan LM. A BRCA1 Splice Site Variant Responsible for Familial Ovarian Cancer in a Han-Chinese Family. Curr Med Sci 2022; 42:666-672. [PMID: 35290602 DOI: 10.1007/s11596-022-2527-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 11/30/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Ovarian cancer (OC) is one of the most common and most lethal gynecological malignancies. OC has an age-dependent incidence and occurs more commonly in females older than 50 years old. Most OC patients are diagnosed at an advanced stage and have a poor prognosis. Germline mutations in the BRCA1 DNA repair associated gene (BRCA1) and the BRCA2 DNA repair associated gene (BRCA2) account for 20%-25% of epithelial ovarian cancer (EOC). BRCA1 germline mutations are more common in Chinese EOC patients. METHODS This study reported a three-generation Han-Chinese family containing four EOC patients and a rectal adenocarcinoma patient. Whole-exome sequencing was performed on two EOC patients and an unaffected individual. Variant validation was also performed in all available members by Sanger sequencing. RESULTS A heterozygous splice site variant, c.4358-2A>G in the BRCA1 gene, was identified. Bioinformatic analysis showed that the variant may change the splicing machinery. CONCLUSION The BRCA1 splice site variant, c.4358-2A>G was identified as the likely genetic cause for EOC, and may also be associated with the increased risk of rectal adenocarcinoma in the family. The findings were beneficial for genetic counseling, helpful for cancer prevention in other family members, and may facilitate therapy decision-making in the future to reduce cancer lethality.
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Affiliation(s)
- Peng-Zhi Hu
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Xiang-Yu Chen
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Wei Xiong
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Sciences, Central South University, Changsha, 410078, China
| | - Zhi-Jian Yang
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Xiao-Rong Li
- Department of Gastrointestinal Surgery, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Wen-Zhi Deng
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Li-Na Gong
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Hao Deng
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
- Disease Genome Research Center, Central South University, Changsha, 410013, China
| | - La-Mei Yuan
- Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
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9
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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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10
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Sasamoto N, Wang T, Townsend MK, Hecht JL, Eliassen AH, Song M, Terry KL, Tworoger SS, Harris HR. Prospective Analyses of Lifestyle Factors Related to Energy Balance and Ovarian Cancer Risk by Infiltration of Tumor-Associated Macrophages. Cancer Epidemiol Biomarkers Prev 2021; 30:920-926. [PMID: 33653814 PMCID: PMC8102357 DOI: 10.1158/1055-9965.epi-20-1686] [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: 11/29/2020] [Revised: 02/01/2021] [Accepted: 02/23/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Lifestyle factors related to energy balance have been associated with ovarian cancer risk and influence the tumor immune microenvironment, including tumor-associated macrophages (TAM). However, no studies have assessed whether these factors differentially impact ovarian cancer risk by TAM densities. METHODS We conducted a prospective analysis in the Nurses' Health Studies to examine the associations of physical activity, sitting time, and a food-based empirical dietary inflammatory pattern (EDIP) score with invasive epithelial ovarian cancer risk by TAM density assessed by immunohistochemistry. We considered density of CD68 (marker of total TAMs) and CD163 (marker of pro-carcinogenic M2-type TAMs), and their ratios. We used multivariable Cox proportional hazards regression to calculate hazard ratios (HR) and 95% confidence intervals (CI) of exposures with risk of ovarian tumors with high versus low TAMs, including analyses stratified by body mass index. RESULTS Analyses included 312 incident ovarian cancer cases with TAM measurements. Physical activity, sitting time, and EDIP score were not differentially associated with ovarian cancer risk by TAM densities (P heterogeneity > 0.05). Among overweight and obese women, higher EDIP score was associated with increased risk of CD163 low-density tumors (HR comparing extreme tertiles, 1.57; 95% CI, 0.88-2.80; P trend = 0.01), but not CD163 high-density tumors (comparable HR, 1.16; 95% CI, 0.73-1.86; P trend = 0.24), though this difference was not statistically significant (P heterogeneity = 0.22). CONCLUSIONS We did not observe differential associations between lifestyle factors and ovarian cancer risk by TAM densities. IMPACT Future investigations examining the interplay between other ovarian cancer risk factors and the tumor immune microenvironment may help provide insight into ovarian cancer etiology.
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Affiliation(s)
- Naoko Sasamoto
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
| | - Tianyi Wang
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Mary K Townsend
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Jonathan L Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kathryn L Terry
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Holly R Harris
- Division of Public Health Sciences, Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department in Epidemiology, School of Public Health, University of Washington, Seattle, Washington
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11
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Hansen JM, Nagle CM, Ibiebele TI, Grant PT, Obermair A, Friedlander ML, DeFazio A, Webb PM. A healthy lifestyle and survival among women with ovarian cancer. Int J Cancer 2020; 147:3361-3369. [PMID: 32542708 DOI: 10.1002/ijc.33155] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/21/2020] [Accepted: 05/25/2020] [Indexed: 12/22/2022]
Abstract
Ovarian cancer has a poor survival rate and, understandably, women often want to know whether there is anything they can do to improve their prognosis. Our goal was to investigate the association between a healthy lifestyle prediagnosis and postdiagnosis and survival in a cohort of Australian women with invasive epithelial ovarian cancer. We calculated a healthy lifestyle index (HLI) based on women's self-reported smoking status, height, weight, physical activity, diet and alcohol consumption before diagnosis (n = 678) and after completing primary treatment (n = 512). Clinical data and vital status for each woman were ascertained through medical records. Cox proportional hazards regression was conducted to calculate hazard ratios (HR) and 95% confidence interval (CI) for all-cause mortality. There was a suggestive association between a more healthy lifestyle before diagnosis and better survival (HR 0.79, 95% CI: 0.59-1.04), however, the association was stronger for lifestyle after diagnosis, with women in the highest tertile having significantly better survival than women in the lowest tertile (HR 0.61, 95% CI: 0.40-0.93; P-trend = .02). Current smoking, particularly postdiagnosis, was associated with higher mortality (HR 1.68, 95% CI: 1.17-2.42; HR 2.82, 95% CI: 1.29-6.14, for prediagnosis and postdiagnosis smoking, respectively), but women who quit after diagnosis had survival outcomes similar to nonsmokers (HR 0.99, 95% CI: 0.57-1.72). Higher physical activity after diagnosis was associated with better survival (HR 0.60, 95% CI: 0.39-0.92; P-trend = .02). A healthy lifestyle after diagnosis, in particular not smoking and being physically active, may help women with ovarian cancer improve their prognosis.
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Affiliation(s)
- Jessy M Hansen
- Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,School of Public Health, University of Queensland, Brisbane, Australia
| | - Christina M Nagle
- Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Torukiri I Ibiebele
- Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Peter T Grant
- Gynaecological Oncology Unit, Mercy Hospital for Women, Melbourne, Australia
| | - Andreas Obermair
- Queensland Centre for Gynaecological Cancer, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School, University of New South Wales and Department of Medical Oncology, Prince of Wales Hospital, Sydney, Australia
| | - Anna DeFazio
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, Australia.,The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
| | - Penelope M Webb
- Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,School of Public Health, University of Queensland, Brisbane, Australia
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- Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Brisbane, Australia
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12
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Zamorano AS, Hagemann AR, Morrison L, Lee JA, Liao LM, Brinton LA, Park Y, Toriola AT. Pre-diagnosis body mass index, physical activity and ovarian cancer mortality. Gynecol Oncol 2019; 155:105-111. [DOI: 10.1016/j.ygyno.2019.07.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 07/18/2019] [Accepted: 07/28/2019] [Indexed: 12/24/2022]
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13
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Zhou A, Minlikeeva AN, Khan S, Moysich KB. Association between Cigarette Smoking and Histotype-Specific Epithelial Ovarian Cancer: A Review of Epidemiologic Studies. Cancer Epidemiol Biomarkers Prev 2019; 28:1103-1116. [PMID: 31043418 PMCID: PMC6606332 DOI: 10.1158/1055-9965.epi-18-1214] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/03/2019] [Accepted: 04/23/2019] [Indexed: 11/16/2022] Open
Abstract
Many studies have demonstrated that smoking can influence ovarian cancer risk and survival; however, the number of studies investigating this relationship according to histologic subtypes is limited. We conducted a review of epidemiologic research that assessed the role of smoking on ovarian cancer risk and survival after diagnosis, specifically capturing studies that discerned between various histologic subtypes of this disease. In the majority of studies, current smoking was associated with increased risk of mucinous cancer. There was also evidence of a decreased risk of clear cell and endometrioid histotypes. No significant association was observed between cigarette smoking and serous cancer. In the studies investigating the relationship between smoking and survival, all the studies reported an increased risk of mortality associated with smoking. Smoking appeared to be a risk factor for both ovarian cancer risk and mortality. Future studies need to investigate further a potential link between smoking and ovarian cancer by having a better assessment of exposure to smoking and having a larger number of participants with the ability to detect associations within rare histotypes.
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Affiliation(s)
- Aili Zhou
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Albina N Minlikeeva
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Sadat Khan
- State University of New York at Buffalo, Buffalo, New York
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
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14
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Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019. [PMID: 30561796 DOI: 10.1002/ijc.32075] [] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
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Affiliation(s)
- Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicolas A Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Alan A Arslan
- New York University School of Medicine, New York, NY
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.,Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Agnès Fournier
- CESP "Health across Generations," INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France.,Gustave Roussy, Villejuif, France
| | | | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Graham G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Jenny N Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, MN
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, D.C
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Leo J Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | | | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece.,WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom.,HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
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15
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Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019; 145:58-69. [PMID: 30561796 PMCID: PMC6488363 DOI: 10.1002/ijc.32075] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/19/2018] [Accepted: 11/05/2018] [Indexed: 12/21/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
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Affiliation(s)
- Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M. Poole
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicolas A. Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alan A. Arslan
- New York University School of Medicine, New York, NY, USA
| | - Alpa V. Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center; Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Agnès Fournier
- CESP “Health across Generations”, INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | | | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Mia M. Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Graham G. Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T. Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A. Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A. Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Roger L. Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N. Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jenny N. Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Leo J. Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | | | - Mary K. Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A. van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
- HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Shelley S. Tworoger
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
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16
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Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019. [PMID: 30561796 DOI: 10.1002/ijc.32075]+[] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
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Affiliation(s)
- Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicolas A Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Alan A Arslan
- New York University School of Medicine, New York, NY
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.,Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Agnès Fournier
- CESP "Health across Generations," INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France.,Gustave Roussy, Villejuif, France
| | | | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Graham G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Jenny N Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, MN
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, D.C
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Leo J Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | | | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece.,WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom.,HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
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17
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Kim J, Chang Y, Kim TJ, Lee JW, Kim BG, Bae DS, Choi CH. Optimal cutoff age for predicting prognosis associated with serous epithelial ovarian cancer: what is the best age cutoff? J Gynecol Oncol 2018; 30:e11. [PMID: 30479095 PMCID: PMC6304408 DOI: 10.3802/jgo.2019.30.e11] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 09/19/2018] [Accepted: 09/27/2018] [Indexed: 01/14/2023] Open
Abstract
Objective Elderly age is one of the poor prognostic factors in epithelial ovarian cancer (EOC), but the optimal age cut-off is not known. The present study sought to identify the ideal age cutoff that represents a negative prognostic factor in EOC, considering the geriatric assessment. Methods Hazard ratios (HRs) with p-values were calculated using all possible age cutoffs with stage, histology, grade, optimality and comorbidities as covariates in multivariate Cox regression model. The trends of p-value and HR by age cutoff were further evaluated in a subgroup of histology and in The Cancer Genome Atlas (TCGA) dataset. In addition, propensity score-matching analysis using the identified age cutoff was performed. Results An age of 66 years was shown to be the most significant cutoff for defining old age with independent prognostic power (HR=1.45; 95% confidence interval=1.04–2.03; p=0.027). This result was also observed with the analyses of serous histology subgroup and with the analysis of a TCGA dataset with serous EOC. In survival analysis, patients aged ≥66 years had significantly worse overall survival compared with younger individuals (56 months vs. 87 months; p=0.006), even following propensity score matching (57 vs. 78 months; p=0.038). Conclusion An age of 66 years is the best cutoff to define elderly age in serous EOC patients considering the geriatric assessment, and this information can be used in the administration of individualized therapies in elderly EOC patients.
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Affiliation(s)
- Jihye Kim
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Youjean Chang
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Tae Joong Kim
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Jeong Won Lee
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Byoung Gie Kim
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Duk Soo Bae
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea
| | - Chel Hun Choi
- Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea.
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18
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Mortality by occupation-based social class in Italy from 2012 to 2014. Int J Public Health 2018; 63:865-874. [PMID: 30051314 DOI: 10.1007/s00038-018-1149-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 06/26/2018] [Accepted: 07/19/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES Evaluating socio-economic inequality in cause-specific mortality among the working population requires large cohort studies. Through this census-based study, we aimed to quantify disparities in mortality across occupation-based social classes in Italy. METHODS We conducted a historical cohort study on a sample of more than 16 million workers. We estimated the mortality rate ratios for each social class, considering upper non-manual workers as reference. RESULTS Non-skilled manual workers showed an increased mortality from upper aero-digestive tract, stomach and liver cancers, and from diseases of the circulatory system, transport accidents and suicides in both sexes, and from infectious diseases, diabetes, lung and bladder cancers only in men. Among women, an excess mortality emerged for cervical cancer, whereas mortality from breast and ovarian cancers was lower. When education was taken into account, the excess mortality decreased in men while was no longer significant in women. CONCLUSIONS There are remarkable disparities across occupation-based social classes in the Italian working population that favour the upper non-manual workers. Our data could be useful in planning policies for a more effective health and social security system.
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19
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Gong S, Chen Y, Meng F, Zhang Y, Wu H, Wu F. Roflumilast restores cAMP/PKA/CREB signaling axis for FtMt-mediated tumor inhibition of ovarian cancer. Oncotarget 2017; 8:112341-112353. [PMID: 29348829 PMCID: PMC5762514 DOI: 10.18632/oncotarget.22866] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/13/2017] [Indexed: 01/04/2023] Open
Abstract
The abrogation of cAMP generation by overexpression of PDE isoforms promotes the inflammatory pathology, and the PDE inhibitors have showed the potential anti-inflammation effects in clinical. However, the function of PDE inhibitors in cancer treatment remains unclear. We here investigated the role of PDE4 inhibitor Roflumilast in the treatment of ovarian cancer. We found that Roflumilast could effectively inhibit the proliferation, and induce apoptosis and cell cycle arrest in two ovarian cancer cell lines OVCAR3 and SKOV3. Meanwhile, the cAMP/PKA/CREB signals was activated by Roflumilast, which was accompanied by the up-regulation of mitochondrial ferritin (FtMt) level. Interestingly, forced expression of FtMt in ovarian cancer enhanced the apoptosis and inhibited tumor growth and the PKA inhibitor H89 and knockdown of CREB significantly repressed the expression of FtMt to restore the tumor proliferation and inhibit apoptosis. In addition, we found that Roflumilast-induced phosphorylated CREB directly promoted transcription of FtMt, indicating that Roflumilast up-regulated the expression of FtMt in ovarian cancer via cAMP/PKA/CREB signals. The anti-tumor role of Roflumilast in vivo was also demonstrated, the treatment of roflumilast effectively inhibited tumor proliferation and elevated the FtMt expression to restrict the tumor growth via the activation of cAMP/PKA/CREB signals in ovarian cancer.
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Affiliation(s)
- Shipeng Gong
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yongning Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Fanliang Meng
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yadi Zhang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Huan Wu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital, Chongqing University of Medical Sciences, Chongqing 400010, P.R. China
| | - Fei Wu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
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20
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Doherty JA, Jensen A, Kelemen LE, Pearce CL, Poole E, Schildkraut JM, Terry KL, Tworoger SS, Webb PM, Wentzensen N. Current Gaps in Ovarian Cancer Epidemiology: The Need for New Population-Based Research. J Natl Cancer Inst 2017; 109:3847624. [PMID: 29117355 DOI: 10.1093/jnci/djx144] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 06/19/2017] [Indexed: 12/25/2022] Open
Abstract
With recent ovarian cancer screening studies showing no clinically significant mortality benefit, preventing this disease, identifying high-risk populations, and extending survival remain priorities. However, several challenges are impeding progress in ovarian cancer research. With most studies capturing exposure information from 10 or more years ago, evaluation of how changing patterns of exposures, such as new oral contraceptive formulations and increased intrauterine device use, might influence ovarian cancer risk and survival is difficult. Risk factors for ovarian cancer should be evaluated in the context of tumor histotypes, which have unique molecular features and cells of origin; this is a task that requires large collaborative studies to achieve meaningful sample sizes. Importantly, identification of novel modifiable risk factors, in addition to those currently known to reduce risk (eg, childbearing, tubal ligation, oral contraceptive use), is needed; this is not feasibly implemented at a population level. In this Commentary, we describe important gaps in knowledge and propose new approaches to advance epidemiologic research to improve ovarian cancer prevention and survival, including updated classification of tumors, collection of data on changing and novel exposures, longer follow-up on existing studies, evaluation of diverse populations, development of better risk prediction models, and collaborating prospectively with consortia to develop protocols for new studies that will allow seamless integration for future pooled analyses.
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Affiliation(s)
| | - Jennifer A Doherty
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Allan Jensen
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Linda E Kelemen
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Celeste L Pearce
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Elizabeth Poole
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Joellen M Schildkraut
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Kathryn L Terry
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Shelley S Tworoger
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Penelope M Webb
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
| | - Nicolas Wentzensen
- Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW)
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21
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Yu J, Han Q, Cui Y. Decreased long non-coding RNA SPRY4-IT1 contributes to ovarian cancer cell metastasis partly via affecting epithelial-mesenchymal transition. Tumour Biol 2017; 39:1010428317709129. [PMID: 28691641 DOI: 10.1177/1010428317709129] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Long non-coding RNAs play important roles in the regulation of cellular processes including cell proliferation, differentiation, and metastasis. The dysregulation of long non-coding RNAs, such as the SPRY4-IT1 (SPRY4 intronic transcript 1), has been associated with various types of malignancies. However, the functional roles and regulatory mechanism of SPRY4-IT1 in ovarian cancer remain to be elucidated. Here, we quantified the expression level of SPRY4-IT1 in ovarian cancer patients and found its downregulation in ovarian cancer tissues compared to the adjacent normal tissues. Patients with lower SPRY4-IT1 expression were associated with a relatively poor prognosis. In consistency, the expression of SPRY4-IT1 was found to be reduced in four human ovarian cancer cell lines compared to normal ovarian epithelial cells. Next, two ovarian cancer cell lines SKOV3 and HO8910 were employed in vitro assays to investigate biological functions of SPRY4-IT1 in ovarian cancer. The cell proliferation was reduced following SPRY4-IT1 overexpression in SKOV3/HO8910 cells based on 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and colony formation assays. The SPRY4-IT1 overexpression also dramatically arrested cell cycle and promoted cell apoptosis. Both wound-healing and transwell-based assays demonstrated that cell migration and invasion were inhibited following SPRY4-IT1 overexpression. Meanwhile, overexpression of SPRY4-IT1 increased E-cadherin and decreased N-cadherin and vimentin protein levels, indicating that SPRY4-IT1 may regulate ovarian cancer cell metastasis through the inhibition of epithelial-mesenchymal transition. Taken together, our findings suggest that SPRY4-IT1 regulates various cellular processes of ovarian cancer cells and its downregulation may contribute to ovarian cancer progression and metastasis partly via affecting the epithelial-mesenchymal transition.
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Affiliation(s)
- Jing Yu
- Department of Gynaecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Qi Han
- Department of Gynaecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Yulan Cui
- Department of Gynaecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
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22
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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: 48] [Impact Index Per Article: 6.9] [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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23
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Tworoger SS, Doherty JA. Epidemiologic paradigms for progress in ovarian cancer research. Cancer Causes Control 2017; 28:361-364. [PMID: 28299511 DOI: 10.1007/s10552-017-0877-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, and Department of Epidemiology, Harvard T.H. Chan School of Public Health, 181 Longwood Ave., 3rd Floor, Boston, MA, 02115, USA
| | - Jennifer Anne Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope, Rm 4125, Salt Lake City, UT, 84112-5550, USA.
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24
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Reproductive and hormonal factors in relation to survival and platinum resistance among ovarian cancer cases. Br J Cancer 2016; 115:1391-1399. [PMID: 27701384 PMCID: PMC5129827 DOI: 10.1038/bjc.2016.316] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/22/2016] [Accepted: 09/06/2016] [Indexed: 11/08/2022] Open
Abstract
Background: Ovarian cancer survival is poor, particularly for platinum-resistant cases. The previous literature on pre-diagnostic reproductive factors and ovarian cancer survival has been mixed. Therefore, we evaluated pre-diagnostic reproductive and hormonal factors with overall survival and, additionally, platinum-chemotherapy resistance. Methods: We followed 1649 invasive epithelial ovarian cancer cases who were enrolled between 1992 and 2008 for overall mortality within the New England Case-Control Study and abstracted chemotherapy data on a subset (n=449). We assessed pre-diagnostic reproductive and hormonal factors during in-person interviews. We calculated hazard ratios (HRs) using Cox-proportional hazards models. Results: We observed 911 all-cause deaths among 1649 ovarian cancer cases. Self-reported endometriosis and longer duration of hormone therapy use were associated with improved survival (HR: 0.72; 95% confidence interval (CI): 0.54–0.94 and HR, ⩾5 years vs never: 0.70; 95% CI: 0.55–0.90, respectively). Older age at menopause and menarche were associated with worse survival (HR, ⩽50 vs >50 years: 1.23; 95% CI: 1.03–1.46 and HR, 13 vs <13 years: 1.24; 95% CI: 1.06–1.44, respectively). We observed no association between oral contraceptive use, parity and tubal ligation, and overall survival. No significant associations were observed for any of the reproductive and hormonal factors and platinum resistance. Conclusions: These results suggest that pre-diagnostic exposures such as endometriosis and HT use may influence overall survival among ovarian cancer patients.
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25
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Webb PM, Jordan SJ. Epidemiology of epithelial ovarian cancer. Best Pract Res Clin Obstet Gynaecol 2016; 41:3-14. [PMID: 27743768 DOI: 10.1016/j.bpobgyn.2016.08.006] [Citation(s) in RCA: 552] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 08/17/2016] [Indexed: 02/08/2023]
Abstract
Globally, ovarian cancer is the seventh most common cancer in women and the eighth most common cause of cancer death, with five-year survival rates below 45%. Although age-standardised rates are stable or falling in most high-income countries, they are rising in many low and middle income countries. Furthermore, with increasing life-expectancy, the number of cases diagnosed each year is increasing. To control ovarian cancer we need to understand the causes. This will allow better prediction of those at greatest risk for whom screening might be appropriate, while identification of potentially modifable causes provides an opportunity for intervention to reduce rates. In this paper we will summarise the current state of knowledge regarding the known and possible causes of epithelial ovarian cancer and discuss some of the main theories of ovarian carcinogenesis. We will also briefly review the relationship between lifestyle and survival after a diagnosis of ovarian cancer.
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Affiliation(s)
- Penelope M Webb
- QIMR Berghofer Medical Research Institute, Locked Bag 2000 Royal Brisbane Hospital, Brisbane, Queensland 4029, Australia; School of Public Health, The University of Queensland, Public Health Building, Corner of Herston Road & Wyndham Street, Herston, Queensland 4006, Australia.
| | - Susan J Jordan
- QIMR Berghofer Medical Research Institute, Locked Bag 2000 Royal Brisbane Hospital, Brisbane, Queensland 4029, Australia; School of Public Health, The University of Queensland, Public Health Building, Corner of Herston Road & Wyndham Street, Herston, Queensland 4006, Australia.
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26
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Long non-coding RNA TUG1 regulates ovarian cancer proliferation and metastasis via affecting epithelial-mesenchymal transition. Exp Mol Pathol 2016; 101:267-273. [DOI: 10.1016/j.yexmp.2016.09.008] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 09/15/2016] [Accepted: 09/26/2016] [Indexed: 12/17/2022]
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