scholarly journals Sedentary behaviour in relation to ovarian cancer risk: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Veronika S. Biller ◽  
Michael F. Leitzmann ◽  
Anja M. Sedlmeier ◽  
Felix F. Berger ◽  
Olaf Ortmann ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Sensitivity Analysis ◽  
Cancer Risk ◽  
Sedentary Behaviour ◽  
Meta Analysis ◽  
Case Control ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Prospective Cohort Studies

AbstractSedentary behaviour is an emerging risk factor for several site-specific cancers. Ovarian cancers are often detected at late disease stages and the role of sedentary behaviour as a modifiable risk factor potentially contributing to ovarian cancer risk has not been extensively examined. We systematically searched relevant databases from inception to February 2020 for eligible publications dealing with sedentary behaviour in relation to ovarian cancer risk. We conducted a systematic review and meta-analysis, calculating summary relative risks (RR) and 95% confidence intervals (CI) using a random-effects model. We calculated the E-Value, a sensitivity analysis for unmeasured confounding. We tested for publication bias and heterogeneity. Seven studies (three prospective cohort studies and four case–control studies) including 2060 ovarian cancer cases were analysed. Comparing highest versus lowest levels of sedentary behaviour, the data indicated a statistically significant increase in the risk of ovarian cancer in relation to prolonged sitting time (RR = 1.29, 95% CI = 1.07–1.57). Sub-analyses of prospective cohort studies (RR = 1.33, 95% CI = 0.92–1.93) and case–control studies (RR = 1.28, 95% CI = 0.98–1.68) showed statistically non-significant results. Sensitivity analysis showed that an unmeasured confounder would need to be related to sedentary behaviour and ovarian cancer with a RR of 1.90 to fully explain away the observed RR of 1.29. Our analyses showed a statistically significant positive association between sedentary behaviour and ovarian cancer risk.

scholarly journals Meat, fish, and ovarian cancer risk: results from 2 Australian case-control studies, a systematic review, and meta-analysis

2010 ◽  
Vol 91 (6) ◽  
pp. 1752-1763 ◽  
Author(s):  
Fariba Kolahdooz ◽  
Jolieke C van der Pols ◽  
Christopher J Bain ◽  
Geoffrey C Marks ◽  
Maria Celia Hughes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Australian Case

Analysis of the Association of Matrix Metalloproteinase-1 Gene Promoter (rs1799750) Polymorphism and Risk of Ovarian Cancer

2015 ◽  
Vol 25 (6) ◽  
pp. 961-967 ◽  
Author(s):  
Lijie Wang ◽  
Beihua Kong
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Matrix Metalloproteinase ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Gene Promoter ◽  
Case Control ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Matrix Metalloproteinase 1

ObjectiveStudies investigating the association betweenmatrix metalloproteinase-1(MMP1) gene promoter 1607–base pair (bp) polymorphism and ovarian cancer risk have yielded conflicting results.MethodsWe therefore carried out a meta-analysis of 754 ovarian cancer cases and 1184 controls from 5 published case-control studies. The strength of the association betweenMMP11607-bp polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs).ResultsThe results suggest that no statistically significant associations exist betweenMMP11607-bp polymorphisms and ovarian cancer risk in all 4 genetic models (2G2G vs 1G1G: OR, 1.08; 95% CI, 0.81–1.43;P= 0.23; 1G2G vs 1G1G: OR, 1.06; 95% CI, 0.82–1.36;P= 0.15; 1G2G + 2G2G vs 1G1G: OR, 1.05; 95% CI, 0.83–1.34;P= 0.16; 2G2G vs 1G1G + 1G2G: OR, 0.98; 95% CI, 0.80–1.20;P= 0.84).ConclusionsIn summary, this meta-analysis showed that theMMP11607-bp polymorphism is not associated with ovarian cancer risk.

scholarly journals Analyzing Association of theXRCC3Gene Polymorphism with Ovarian Cancer Risk

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Cunzhong Yuan ◽  
Xiaoyan Liu ◽  
Shi Yan ◽  
Cunfang Wang ◽  
Beihua Kong
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Fixed Effects ◽  
Genetic Model ◽  
Meta Analysis ◽  
Case Control ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
African Populations ◽  
Eligible Case

This meta-analysis aims to examine whether theXRCC3polymorphisms are associated with ovarian cancer risk. Eligible case-control studies were identified through search in PubMed. Pooled odds ratios (ORs) were appropriately derived from fixed effects models. We therefore performed a meta-analysis of 5,302 ovarian cancer cases and 8,075 controls from 4 published articles and 8 case-control studies for 3 SNPs ofXRCC3. No statistically significant associations betweenXRCC3rs861539 polymorphisms and ovarian cancer risk were observed in any genetic models. ForXRCC3rs1799794 polymorphisms, we observed a statistically significant correlation with ovarian cancer risk using the homozygote comparison (T2T2 versus T1T1: OR = 0.70, 95% CI = 0.54–0.90,P=0.005), heterozygote comparison (T1T2 versus T1T1: OR = 1.10, 95% CI = 1.00–1.21,P=0.04), and the recessive genetic model (T2T2 versus T1T1+T1T2: OR = 0.67, 95% CI = 0.52–0.87,P=0.002). ForXRCC3rs1799796 polymorphisms, we also observed a statistically significant correlation with ovarian cancer risk using the heterozygote comparison (T1T2 versus T1T1: OR = 0.91, 95% CI = 0.83–0.99,P=0.04). In conclusion, this meta-analysis shows that theXRCC3were associated with ovarian cancer risk overall for Caucasians. Asian and African populations should be further studied.

Alcohol drinking and epithelial ovarian cancer risk. A systematic review and meta-analysis

2012 ◽  
Vol 125 (3) ◽  
pp. 758-763 ◽  
Author(s):  
Matteo Rota ◽  
Elena Pasquali ◽  
Lorenza Scotti ◽  
Claudio Pelucchi ◽  
Irene Tramacere ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Alcohol Drinking ◽  
Meta Analysis ◽  
Ovarian Cancer Risk

scholarly journals Anthropometric factors and ovarian cancer risk: A systematic review and nonlinear dose-response meta-analysis of prospective studies

2014 ◽  
Vol 136 (8) ◽  
pp. 1888-1898 ◽  
Author(s):  
Dagfinn Aune ◽  
Deborah A. Navarro Rosenblatt ◽  
Doris Sau Man Chan ◽  
Leila Abar ◽  
Snieguole Vingeliene ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cancer Risk ◽  
Dose Response ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Ovarian Cancer Risk

The Prevalence of Human Papillomavirus in Ovarian Cancer: A Systematic Review

2013 ◽  
Vol 23 (3) ◽  
pp. 437-441 ◽  
Author(s):  
Maria Inês Rosa ◽  
Geraldo Doneda Silva ◽  
Priscyla Waleska Targino de Azedo Simões ◽  
Meriene Viquetti Souza ◽  
Ana Paula Ronzani Panatto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Human Papillomavirus ◽  
Meta Analysis ◽  
Grey Literature ◽  
Blot Hybridization ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Cross Sectional

ObjectiveWe performed a systematic review and a meta-analysis to estimate the prevalence of human papillomavirus (HPV) in ovarian cancer.MethodsA comprehensive search of the Cochrane Library, MEDLINE, CANCERLIT, LILACS, Grey literature and EMBASE was performed for articles published from January 1990 to March 2012. The following MeSH (Medical Subject Headings) terms were searched: “ovarian tumor” or “ovarian cancers” and “HPV” or “human papillomavirus.” Included were case-control and cross-sectional studies, prospective or retrospective, that evaluated clinical ovarian cancer and provided a clear description of the use of in situ hybridization, Southern blot hybridization, and polymerase chain reaction. The statistical analysis was performed using REVMAN 5.0.ResultsIn total, 24 primary studies were included in this meta-analysis. Studies from 11 countries on 3 continents contained data on HPV and ovarian cancer, including 889 subjects. Overall, the HPV prevalence in patients with ovarian cancer was 17.5 (95% confidence interval [CI], 15.0%–20.0%). Human papillomavirus prevalence ranged from 4.0% (95% CI, 1.7%–6.3%) in Europe to 31.4% (95% CI, 26.9%–35.9%) in Asia. An aggregate of 4 case-control studies from Asia showed an odds ratio of 2.48 (95% CI, 0.64–9.57).ConclusionsWe found a high prevalence of HPV-positive DNA in ovarian cancer cases, but the role of HPV in ovarian cancer remains inconclusive. Further studies are needed to control case to answer this question.

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