scholarly journals Age at menarche and epithelial ovarian cancer risk: A meta‐analysis and Mendelian randomization study

2019 ◽  
Vol 8 (8) ◽  
pp. 4012-4022 ◽  
Author(s):  
Huijun Yang ◽  
Hongji Dai ◽  
Lian Li ◽  
Xin Wang ◽  
Peishan Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Mendelian Randomization ◽  
Meta Analysis ◽  
Age At Menarche ◽  
Ovarian Cancer Risk

scholarly journals Appraising the role of previously reported risk factors in epithelial ovarian cancer risk: A Mendelian randomization analysis

PLoS Medicine ◽  
2019 ◽  
Vol 16 (8) ◽  
pp. e1002893 ◽  
Author(s):  
James Yarmolinsky ◽  
Caroline L. Relton ◽  
Artitaya Lophatananon ◽  
Kenneth Muir ◽  
Usha Menon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Mendelian Randomization ◽  
Ovarian Cancer Risk ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

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 Evaluating causal associations between previously reported risk factors and epithelial ovarian cancer: a Mendelian randomization analysis

2018 ◽  
Author(s):  
James Yarmolinsky ◽  
Caroline L Relton ◽  
Artitaya Lophatananon ◽  
Kenneth Muir ◽  
Usha Menon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Genetic Variants ◽  
Mendelian Randomization ◽  
Modifiable Risk Factors ◽  
Ovarian Cancer Risk ◽  
Genetic Liability ◽  
Suggestive Evidence

AbstractBackgroundVarious modifiable risk factors have been associated with epithelial ovarian cancer risk in observational epidemiological studies. However, the causal nature of the risk factors reported, and thus their suitability as effective intervention targets, is unclear given the susceptibility of conventional observational designs to residual confounding and reverse causation. Mendelian randomization uses genetic variants as proxies for modifiable risk factors to strengthen causal inference in observational studies. We used Mendelian randomization to evaluate the causal role of 13 previously reported risk factors (reproductive, anthropometric, clinical, lifestyle, and molecular factors) in overall and histotype-specific epithelial ovarian cancer in up to 25,509 case subjects and 40,941 controls in the Ovarian Cancer Association Consortium.Methods and FindingsGenetic instruments to proxy 13 risk factors were constructed by identifying single nucleotide polymorphisms (SNPs) robustly (P<5×10−8) and independently associated with each respective risk factor in previously reported genome-wide association studies. SNPs were combined into multi-allelic inverse-variance weighted fixed or random-effects models to generate causal estimates. Three complementary sensitivity analyses were performed to examine violations of Mendelian randomization assumptions: MR-Egger regression and weighted median and mode estimators. A Bonferroni-corrected P-value threshold was used to establish “strong evidence” (P<0.0038) and “suggestive evidence” (0.0038<P<0.05) for associations.In Mendelian randomization analyses, there was strong or suggestive evidence that 9 of 13 risk factors had a causal effect on overall or histotype-specific epithelial ovarian cancer. There was strong evidence that genetic liability to endometriosis increased risk of epithelial ovarian cancer (OR per log odds higher liability:1.27, 95% CI: 1.16-1.40; P=6.94×10−7) and suggestive evidence that lifetime smoking exposure increased risk of epithelial ovarian cancer (OR per unit increase in smoking score:1.36, 95% CI: 1.04-1.78; P=0.02). In histotype-stratified analyses, the strongest associations found were between: height and clear cell carcinoma (OR per SD increase:1.36, 95% CI: 1.15-1.61; P=0.0003); age at natural menopause and endometrioid carcinoma (OR per year later onset:1.09, 95% CI: 1.02-1.16; P=0.007); and genetic liability to polycystic ovary syndrome and endometrioid carcinoma (OR per log odds higher liability:0.74, 95% CI:0.62-0.90; P=0.002). There was little evidence for an effect of genetic liability to type 2 diabetes, parity, or circulating levels of 25-hydroxyvitamin D and sex hormone-binding globulin on ovarian cancer or its subtypes. The primary limitations of this analysis include: modest statistical power for analyses of risk factors in relation to some less common ovarian cancer histotypes (low grade serous, mucinous, and clear cell carcinomas), the inability to directly examine the causal effects of some ovarian cancer risk factors that did not have robust genetic variants available to serve as proxies (e.g., oral contraceptives, hormone replacement therapy), and the assumption of linear relationships between risk factors and ovarian cancer risk.ConclusionsOur comprehensive examination of possible etiological drivers of ovarian carcinogenesis using germline genetic variants to proxy risk factors supports a causal role for few of these factors in epithelial ovarian cancer and suggests distinct etiologies across histotypes. The identification of novel modifiable risk factors remains an important priority for the control of epithelial ovarian cancer.

scholarly journals Wine drinking and epithelial ovarian cancer risk: a meta-analysis

2010 ◽  
Vol 21 (2) ◽  
pp. 112 ◽  
Author(s):  
Hee Seung Kim ◽  
Jae Weon Kim ◽  
Leo J. Shouten ◽  
Susanna C. Larsson ◽  
Hyun Hoon Chung ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Meta Analysis ◽  
Ovarian Cancer Risk

Dietary Inflammatory Index and Ovarian Cancer Risk: A Meta-Analysis

2021 ◽  
pp. 1-10
Author(s):  
Jiani Yang ◽  
Jun Ma ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Shan Huang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Ovarian Cancer Risk ◽  
Dietary Inflammatory Index ◽  
Inflammatory Index

scholarly journals Circulating Insulin-Like Growth Factor-1 Level and Ovarian Cancer Risk

2016 ◽  
Vol 38 (2) ◽  
pp. 589-597 ◽  
Author(s):  
Yiyang Li ◽  
Yang Li ◽  
Jialing Zhang ◽  
Changjun Zheng ◽  
He Zhu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Growth Factor ◽  
Cancer Risk ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Ovarian Cancer Risk ◽  
Insulin Like Growth Factor ◽  
Summary Odds Ratio

Background/Aims: Insulin-like growth factor-1 (IGF-1) has an important role in cells' proliferation, differentiation and apoptosis, and it may be involved in carcinogenesis. Several epidemiological studies assessed the association between circulating IGF-1 level and ovarian cancer risk, but there was still no conclusive finding. Methods: A meta-analysis of published studies was performed to assess the association between circulating IGF-1 level and ovarian cancer risk. The summary odds ratio (OR) with 95% confidence interval (95%CI) was calculated through meta-analysis to evaluate the strength of the association. Results: Five eligible studies were included into the meta-analysis, which involved a total of 2,028 cases of ovarian cancer and 4,625 controls. Meta-analysis of total 5 studies showed that high circulating IGF-1 level was correlated with decreased risk of ovarian cancer (OR = 0.84, 95%CI 0.74-0.97, P = 0.013). After adjusting for heterogeneity, high circulating IGF-1 level was still correlated with decreased risk of ovarian cancer (OR = 0.83, 95%CI 0.72-0.95, P = 0.007). Subgroup analysis by age showed that circulating IGF-1 level was not correlated with ovarian cancer risk in women both less than 55 years and more than 55 years. However, after adjusting for heterogeneity, high circulating IGF-1 level was correlated with decreased ovarian cancer risk in women less than 55 years (OR = 0.82, 95%CI 0.72-0.94, P = 0.004). Conclusion: Our meta-analysis suggests that high circulating IGF-1 level may be correlated with decreased ovarian cancer risk, especially in women less than 55 years. More studies are needed to further assess the association between circulating IGF-1 level and ovarian cancer risk in the future.

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