scholarly journals Dietary vitamin A intake and the risk of ovarian cancer: a meta-analysis

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
Qiaoqiao Wang ◽  
Chaying He
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Vitamin A ◽  
Meta Analysis ◽  
Positive Association ◽  
Dietary Vitamin ◽  
Ovarian Cancer Risk ◽  
Inverse Association ◽  
Case Control Studies ◽  
North Americans

Abstract BACKGROUND: Previous studies have demonstrated some associations between dietary vitamin A intake and ovarian cancer risk with an inconsistent relationship. We therefore performed the present study to further explore the association between them. METHODS: Databases of PubMed, Embase, and Web of Science were retrieved up to September 1, 2019. Summarized relative risk (RR) with corresponding 95% confidence intervals (CI) were calculated. Stata 14.0 software was used for data analysis. RESULTS: Fifteen articles involving 4882 cases and 443,179 participants were included in this meta-analysis. A positive association between dietary vitamin A intake and ovarian cancer risk was found (RR = 0.816, 95%CI = 0.723–0.920, I2 = 48.4%, Pfor heterogeneity = 0.019). Significant association was also found in case–control studies (RR = 0.769, 95%CI = 0.655–0.902), but not in cohort studies. When we performed the analysis between ovarian cancer risk and geographic locations, we found an inverse association in North American populations (RR = 0.825, 95%CI = 0.720–0.946), instead of other populations. CONCLUSIONS: In summary, findings from the present study suggested that higher dietary intake of vitamin A may contribute to the lower development of ovarian cancer, especially among North Americans.

scholarly journals Association about dietary vitamin C intake on the risk of ovarian cancer: A meta-analysis

2019 ◽  
Author(s):  
Yuhang Long ◽  
Hui Fei ◽  
Sumei Xu ◽  
Jianzhen Wen ◽  
Lihua Ye ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Vitamin C ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Geographic Location ◽  
Dietary Vitamin ◽  
Ovarian Cancer Risk ◽  
Case Control Studies

Abstract Background: Changes in dietary vitamin C intake have been related to the risks of various cancers. However, the association between dietary vitamin C intake and the risk of ovarian cancer has not been fully determined. A meta-analysis was performed to evaluate the relationship between vitamin C intake and ovarian cancer risk. Methods: Observational studies that evaluated the association between vitamin C intake and ovarian cancer risk were identified via systematic search of PubMed and Embase databases. A random effect model was used to combine relative risk (RR) with corresponding 95% confidence intervals (CI). Results: Sixteen studies (5 cohort studies and 11 case-control studies) with 4,553 cases and 439,741 participants were included. Pooled results showed that dietary vitamin C intake had non-significant association on the risk of ovarian cancer (RR=0.95, 95%CI= 0.81-1.11, I2= 52.1%, P for heterogeneity= 0.008). Subgroup analyses according to characteristics including geographic location and study design showed consistent results with the overall result. Conclusions: In summary, findings from this study indicated that dietary vitamin C intake is not associated with the risk of ovarian cancer.

scholarly journals Association about dietary vitamin C intake on the risk of ovarian cancer: a meta-analysis

2020 ◽  
Vol 40 (8) ◽  
Author(s):  
Yuhang Long ◽  
Hui Fei ◽  
Sumei Xu ◽  
Jianzhen Wen ◽  
Lihua Ye ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Vitamin C ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Geographic Location ◽  
Dietary Vitamin ◽  
Ovarian Cancer Risk ◽  
Case Control Studies

Abstract Changes in dietary vitamin C intake have been related to the risks of various cancers. However, the association between dietary vitamin C intake and the risk of ovarian cancer has not been fully determined. A meta-analysis was performed to evaluate the relationship between vitamin C intake and ovarian cancer risk. Observational studies that evaluated the association between vitamin C intake and ovarian cancer risk were identified via systematic search of PubMed and Embase databases. A random-effect model was used to combine relative risk (RR) with corresponding 95% confidence intervals (CIs). As a result, 16 studies (5 cohort studies and 11 case–control studies) with 4553 cases and 439,741 participants were included. Pooled results showed that dietary vitamin C intake had non-significant association on the risk of ovarian cancer (RR = 0.95, 95%CI = 0.81–1.11, I2 = 52.1%, Pfor heterogeneity = 0.008). Subgroup analyses according to characteristics including geographic location and study design showed consistent results with the overall result. In summary, findings from the present study indicated that dietary vitamin C intake is not associated with the risk of ovarian cancer.

scholarly journals Association between dietary fiber intake and risk of ovarian cancer: a meta-analysis of observational studies

2018 ◽  
Vol 46 (10) ◽  
pp. 3995-4005 ◽  
Author(s):  
Xiumin Huang ◽  
Xuelian Wang ◽  
Jing Shang ◽  
Yanzhen Lin ◽  
Ying Yang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Dietary Fiber ◽  
Meta Analysis ◽  
Ovarian Cancer Risk ◽  
Fiber Intake ◽  
Case Control Studies ◽  
Relative Risks ◽  
Dietary Fiber Intake ◽  
Study Heterogeneity

Objective To evaluate the associations between dietary fiber intake and ovarian cancer risk. Methods A literature survey was conducted by searching the PubMed, Web of Science, and Wanfang Med Online databases up to March 1st, 2018. The effect of dietary fiber intake on ovarian cancer risk was evaluated by calculating relative risks with 95% confidence intervals (95%CI) using Stata 12.0 software. Results A total of 17 articles with 149,177 participants including 7609 ovarian cancer patients were included in this analysis. The summarized relative risk for ovarian cancer in participants with the highest compared with the lowest fiber intake was 0.760 (95%CI=0.702–0.823), with no significant between-study heterogeneity ( I2=12.4%). Subgroup analysis according to study design demonstrated positive associations in both cohort studies and case-control studies. Moreover, the results were consistent among populations from America, Europe, and Asia. No publication bias was found by Egger’s test or funnel plots. Conclusion This meta-analysis concluded that a high intake of dietary fiber could significantly reduce the risk of ovarian cancer compared with a low fiber intake.

Glutathione S-transferase M1, T1, and P1 Polymorphisms and Ovarian Cancer Risk: A Meta-Analysis

2010 ◽  
Vol 20 (5) ◽  
pp. 732-737 ◽  
Author(s):  
Konstantinos P. Economopoulos ◽  
Theodoros N. Sergentanis ◽  
Nikos F. Vlahos
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Confidence Interval ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Increased Risk ◽  
Gstp1 Ile105val

Introduction:Cytosolic glutathione S-transferase (GST) comprises multiple isoenzymes that catalyze reactions between glutathione and lipophilic compounds with electrophilic centers, resulting in the neutralization of toxic compounds, xenobiotics, and products of oxidative stress. Several studies have examined whether GST polymorphisms (GSTM1 null/present genotype, GSTT1 null/present genotype, and GSTP1 Ile105Val) represent risk factors for ovarian cancer, as they all may denote reduced enzyme activity. This meta-analysis aimed to examine the associations between the aforementioned polymorphisms and ovarian cancer risk.Methods:The MEDLINE database was searched up to September 2009 using the appropriate terms. Case-control studies with no mutually overlapping populations were selected. Pooled odds ratios (ORs) were appropriately derived from fixed-effects or random-effects models. Meta-regression with publication year was also performed.Results:Eight studies regarding GSTM1 null polymorphism status (2357 cases and 3044 controls), 6 studies concerning GSTT1 null polymorphism (1923 cases and 2759 controls), and 3 studies on GSTP1 Ile105Val were included in the meta-analysis. The GSTM1 null genotype was not associated with an increased risk for ovarian cancer (pooled OR, 1.031; 95% confidence interval, 0.867-1.226; random effects). The GSTT1 null genotype was not associated with an increased ovarian cancer risk (pooled OR, 0.934; 95% confidence interval, 0.804-1.086; random effects); similarly, no significant associations were demonstrated for GSTP1 Ile105Val.Conclusions:The examined GSTM1, GSTT1, and GSTP1 genotype polymorphisms do not seem to confer any additional risk for ovarian cancer. Given that the studies included in this meta-analysis involve mainly white populations, these results cannot be extrapolated on other populations, and additional data are needed for future race-specific analyses.

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 Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies

2020 ◽  
Author(s):  
Alice W Lee ◽  
Stacey Rosenzweig ◽  
Ashley Wiensch ◽  
Susan J Ramus ◽  
Usha Menon ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Epithelial Ovarian Cancer ◽  
Race And Ethnicity ◽  
Clear Cell ◽  
Ovarian Cancer Risk ◽  
Inverse Association ◽  
Case Control Studies ◽  
Invasive Epithelial Ovarian Cancer ◽  
Reduced Risk

Abstract Background Parity is associated with decreased risk of invasive ovarian cancer; however, the relationship between incomplete pregnancies and invasive ovarian cancer risk is unclear. This relationship was examined using 15 case-control studies from the Ovarian Cancer Association Consortium (OCAC). Histotype-specific associations, which have not been examined previously with large sample sizes, were also evaluated. Methods A pooled analysis of 10 470 invasive epithelial ovarian cancer cases and 16 942 controls was conducted. Odds ratios (ORs) and 95% confidence intervals (CIs) for the association between incomplete pregnancies and invasive epithelial ovarian cancer were estimated using logistic regression. All models were conditioned on OCAC study, race and ethnicity, age, and education level and adjusted for number of complete pregnancies, oral contraceptive use, and history of breastfeeding. The same approach was used for histotype-specific analyses. Results Ever having an incomplete pregnancy was associated with a 16% reduction in ovarian cancer risk (OR = 0.84, 95% CI = 0.79 to 0.89). There was a trend of decreasing risk with increasing number of incomplete pregnancies (2-sided Ptrend < .001). An inverse association was observed for all major histotypes; it was strongest for clear cell ovarian cancer. Conclusions Incomplete pregnancies are associated with a reduced risk of invasive epithelial ovarian cancer. Pregnancy, including incomplete pregnancy, was associated with a greater reduction in risk of clear cell ovarian cancer, but the result was broadly consistent across histotypes. Future work should focus on understanding the mechanisms underlying this reduced risk.

scholarly journals The association between dietary vitamin A intake and pancreatic cancer risk: a meta-analysis of 11 studies

2016 ◽  
Vol 36 (6) ◽  
Author(s):  
Tao Zhang ◽  
Hongqiang Chen ◽  
Shiyong Qin ◽  
Minghai Wang ◽  
Xianming Wang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cancer Risk ◽  
Vitamin A ◽  
Publication Bias ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Case Control ◽  
Dietary Vitamin ◽  
Case Control Studies ◽  
Pancreatic Cancer Risk

Whether dietary vitamin A intake could reduce pancreatic cancer risk is still conflicting. We therefore conducted a meta-analysis to summarize the evidence from epidemiological studies. We searched the databases of PubMed and Web of Knowledge up to July 2016. Random model was used to combine study-specific relative risks (RR) and 95% confidence interval (CI). Publication bias was assessed by Egger regression asymmetry test and Begg's funnel plot. Eleven studies (10 case-control studies and 1 cohort study) involving 2705 pancreatic cancer cases were included in the present study. The RR (95% CI) of pancreatic cancer for highest category of vitamin A intake compared with lowest category was 0.839 (95% CI=0.712–0.988) with low heterogeneity detected (I2=17.8%, Pheterogeneity=0.274). The relationships were also significant for studies designed by case-control [RR=0.808, 95% CI=0.690–0.947], as well as in European population [RR=0.821, 95% CI=0.693–0.972]. No evidence of publication bias was found. This meta-analysis demonstrated that dietary vitamin A intake might inversely associated with the risk of pancreatic cancer.

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.

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