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 ◽  
...  

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.

2007 ◽  
Vol 18 (3) ◽  
pp. 335-341 ◽  
Author(s):  
Stephanie A. N. Silvera ◽  
Meera Jain ◽  
Geoffrey R. Howe ◽  
Anthony B. Miller ◽  
Thomas E. Rohan

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 945 ◽  
Author(s):  
Kangning Chen ◽  
Qianyu Zhao ◽  
Xiaofan Li ◽  
Jing Zhao ◽  
Peiqin Li ◽  
...  

Epidemiological studies are inconclusive regarding the association between dietary fiber intake and endometrial cancer risk. Thus, we aimed to conduct a meta-analysis to clarify the association between dietary fiber and endometrial cancer risk. We searched the PubMed and ISI Web databases for relevant studies through March 2018. The association between dietary fiber and endometrial cancer risk was evaluated by conducting a meta-analysis including 3 cohort and 12 case–control studies. A significant negative association was observed between total dietary fiber intake and endometrial cancer risk in 11 case–control studies (odds ratios (OR) 0.76, 95% confidence interval (CI): 0.64–0.89, I2 = 35.2%, p = 0.117), but a marginal positive association was observed in three cohort studies (relative risk (RR) 1.22, 95% CI: 1.00–1.49, I2 = 0.0%, p = 0.995). Particularly, a negative association was observed in North America (OR = 0.70, 95% CI: 0.59–0.83, I2 = 8.9%, p = 0.362). In addition, a positive association was observed in cereal fiber (RR = 1.26, 95% CI: 1.03–1.52, I2 = 0.0%, p = 0.530, 3 cohort studies) and a negative association was observed in vegetable fiber (OR = 0.74, 95% CI: 0.58–0.94, I2 = 0.0%, p = 0.445, 3 case–control studies). In conclusion, negative associations with endometrial cancer risk were observed for higher total dietary fiber intake and higher vegetable fiber intake in the case–control studies. However, results from the cohort studies suggested positive relationships of higher total fiber intake and higher cereal fiber intake with endometrial cancer risk.


2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Bowen Zheng ◽  
Hui Shen ◽  
Hedong Han ◽  
Ting Han ◽  
Yonghong Qin

2019 ◽  
Author(s):  
Yuhang Long ◽  
Hui Fei ◽  
Sumei Xu ◽  
Jianzhen Wen ◽  
Lihua Ye ◽  
...  

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.


2020 ◽  
Vol 40 (8) ◽  
Author(s):  
Yuhang Long ◽  
Hui Fei ◽  
Sumei Xu ◽  
Jianzhen Wen ◽  
Lihua Ye ◽  
...  

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.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1569-1569 ◽  
Author(s):  
Daniel Lin ◽  
Brandilyn Peters ◽  
Rashmi Sinha ◽  
James J. Goedert ◽  
Richard Hayes ◽  
...  

1569 Background: Increasing evidence has shown that gut microbiota alterations may play a role in colorectal cancer risk. Diet, particularly fiber intake, may modify gut microbiota composition, which may consequently impact cancer risk development. We investigated the relationship between dietary fiber intake and gut microbiota in healthy humans. Methods: Using 16S rRNA gene sequencing, we assessed gut microbiota in fecal samples from 151 healthy adults in two independent study populations: Study A, n = 75 (healthy controls from a colorectal cancer case-control study), and Study B, n = 76 (polyp-free subjects from a cross-sectional colonoscopy study). We calculated energy-adjusted total dietary fiber intake of participants based on food frequency questionnaires. For each study population, we evaluated the relationship between quartiles of higher fiber intake as a continuous ordinal variable, and global gut microbiota community composition (via PERMANOVA of weighted UniFrac distance) and specific taxon abundance (via DESeq2). Results: We found that fiber intake was significantly associated with overall microbial community composition in Study B (p = 0.003) but not Study A (p = 0.68), after adjustment for age, sex, race, body mass index, and cigarette smoking. In a taxonomy-based meta-analysis of these two study populations, higher fiber intake was associated with lower abundance of genus Actinomyces (fold change [FC] = 0.769, p = 0.003), and higher abundance of genera Faecalibacterium (FC = 1.153, p = 0.03), Lachnospira (FC = 1.167, p = 0.04), and SMB53 (FC = 1.201, p = 0.05). A species-level meta-analysis showed an association between higher fiber intake and higher abundance of Faecalibacterium prausnitzii (FC = 1.165, p = 0.03) and lower abundance of Ruminococcus bromii (FC = 0.828, p = 0.08). Conclusions: Our results suggest that higher intake of dietary fiber may alter gut microbiota in healthy adults. Given the potentially modifiable nature of the gut microbiota through diet, these findings warrant further study of diet-microbiota based colorectal cancer prevention strategies.


2010 ◽  
Vol 20 (5) ◽  
pp. 732-737 ◽  
Author(s):  
Konstantinos P. Economopoulos ◽  
Theodoros N. Sergentanis ◽  
Nikos F. Vlahos

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.


Author(s):  
Veronika S. Biller ◽  
Michael F. Leitzmann ◽  
Anja M. Sedlmeier ◽  
Felix F. Berger ◽  
Olaf Ortmann ◽  
...  

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.


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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document