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Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer
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-spec...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379147/ https://www.ncbi.nlm.nih.gov/pubmed/28208158 http://dx.doi.org/10.1038/bjc.2017.35 |
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author | Kim, Shana J Rosen, Barry Fan, Isabel Ivanova, Anna McLaughlin, John R Risch, Harvey Narod, Steven A Kotsopoulos, Joanne |
author_facet | Kim, Shana J Rosen, Barry Fan, Isabel Ivanova, Anna McLaughlin, John R Risch, Harvey Narod, Steven A Kotsopoulos, Joanne |
author_sort | Kim, Shana J |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5379147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53791472018-03-28 Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer Kim, Shana J Rosen, Barry Fan, Isabel Ivanova, Anna McLaughlin, John R Risch, Harvey Narod, Steven A Kotsopoulos, Joanne Br J Cancer Epidemiology 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. Nature Publishing Group 2017-03-28 2017-02-16 /pmc/articles/PMC5379147/ /pubmed/28208158 http://dx.doi.org/10.1038/bjc.2017.35 Text en Copyright © 2017 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Epidemiology Kim, Shana J Rosen, Barry Fan, Isabel Ivanova, Anna McLaughlin, John R Risch, Harvey Narod, Steven A Kotsopoulos, Joanne Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title | Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title_full | Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title_fullStr | Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title_full_unstemmed | Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title_short | Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
title_sort | epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379147/ https://www.ncbi.nlm.nih.gov/pubmed/28208158 http://dx.doi.org/10.1038/bjc.2017.35 |
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