scholarly journals Alcohol consumption and gastric cancer risk: a meta-analysis of prospective cohort studies

Oncotarget ◽  
2017 ◽  
Vol 8 (47) ◽  
pp. 83237-83245 ◽  
Author(s):  
Xue Han ◽  
Li Xiao ◽  
Yao Yu ◽  
Yu Chen ◽  
Hai-Hua Shu
Keyword(s):  
Gastric Cancer ◽  
Alcohol Consumption ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Gastric Cancer Risk ◽  
Prospective Cohort Studies

scholarly journals Dietary Salt Intake and Gastric Cancer Risk: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Bo Wu ◽  
Dehua Yang ◽  
Shuhan Yang ◽  
Guangzhe Zhang
Keyword(s):  
Gastric Cancer ◽  
Systematic Review ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Salt Intake ◽  
Meta Analysis ◽  
Processed Meat ◽  
Gastric Cancer Risk ◽  
Prospective Cohort Studies

The results of prospective cohort studies regarding the role of salt intake and subsequent gastric cancer risk are inconsistent. Thus, we performed a systematic review and meta-analysis to summarize the strength of the association of salt intake with gastric cancer morbidity and mortality. PubMed, EmBase, and Cochrane Library were systematically searched to identify eligible studies published throughout September 2021. The effect estimates with 95% confidence intervals (CIs) for gastric cancer morbidity or mortality in each study were applied to calculate the pooled results; these analyses were performed using the random-effects model. Twenty-six prospective cohort studies involving 4,956,350 individuals were selected; these studies reported 19,301 cases of gastric cancer and 2,871 cases of gastric cancer-associated mortality. High (RR: 1.25; 95%CI: 1.10–1.41; P = 0.001) or moderate (RR: 1.20; 95%CI: 1.04–1.38; P = 0.012) salt intake was associated with a greater risk of gastric cancer. High pickled food intake was associated with an increased gastric cancer risk (RR: 1.28; 95%CI: 1.05–1.57; P = 0.017), while moderate pickled foods intake had no significant effect on gastric cancer risk (RR: 1.10; 95%CI: 0.88–1.37; P = 0.390). Neither high (RR: 1.14; 95%CI: 0.95–1.36; P = 0.161) nor moderate (RR: 1.10; 95%CI: 0.87–1.40; P = 0.436) salted fish intake were associated with gastric cancer risk. A high intake of processed meat was significantly associated with a higher risk of gastric cancer (RR: 1.24; 95%CI: 1.03–1.49; P = 0.023), while moderate processed meat intake had no significant effect on the gastric cancer risk (RR: 1.01; 95%CI: 0.92–1.11; P = 0.844). High (RR: 1.04; 95%CI: 0.90–1.19; P = 0.626) and moderate (RR: 1.02; 95%CI: 0.94–1.11; P = 0.594) miso-soup intake had no effects on the gastric cancer risk. High intakes of salt, pickled food, and processed meat are associated with significantly increased risks of gastric cancer; these increased risks are also seen when participants consumed moderate amounts of salt.

scholarly journals Association between alcohol consumption and the risk of gastric cancer: a meta-analysis of prospective cohort studies

Oncotarget ◽  
2017 ◽  
Vol 8 (48) ◽  
pp. 84459-84472 ◽  
Author(s):  
Zheng He ◽  
Ting-Ting Zhao ◽  
Hui-Mian Xu ◽  
Zhen-Ning Wang ◽  
Ying-Ying Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Alcohol Consumption ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies

Overweight, obesity and gastric cancer risk: Results from a meta-analysis of cohort studies

2009 ◽  
Vol 45 (16) ◽  
pp. 2867-2873 ◽  
Author(s):  
Ping Yang ◽  
Yong Zhou ◽  
Bo Chen ◽  
Hong-Wei Wan ◽  
Gui-Qing Jia ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Gastric Cancer Risk

scholarly journals Association between Sleep Duration and Cancer Risk: A Meta-Analysis of Prospective Cohort Studies

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74723 ◽  
Author(s):  
Yan Lu ◽  
Nong Tian ◽  
Jie Yin ◽  
Yuhua Shi ◽  
Zhenping Huang
Keyword(s):  
Cancer Risk ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies

scholarly journals Pickled Vegetable and Salted Fish Intake and the Risk of Gastric Cancer: Two Prospective Cohort Studies and a Meta-Analysis

Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 996
Author(s):  
Jin Young Yoo ◽  
Hyun Jeong Cho ◽  
Sungji Moon ◽  
Jeoungbin Choi ◽  
Sangjun Lee ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cohort Studies ◽  
Cancer Incidence ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Fish Intake ◽  
Salted Fish ◽  
Prospective Cohort Studies ◽  
Increased Risk

An increased risk of gastric cancer for pickled vegetable and salted fish intake has been suggested, yet the lack of a dose-response association warrants a quantitative analysis. We conducted a meta-analysis, combining results from our analysis of two large Korean cohort studies and those from previous prospective cohort studies. We investigated the association of pickled vegetable and salted fish intake with gastric cancer in the Korean Genome Epidemiology Study and the Korean Multi-center Cancer Cohort Study using Cox proportional hazard models. We then searched for observational studies published until November 2019 and conducted both dose-response and categorical meta-analyses. The pooled relative risk (RR) of gastric cancer incidence was 1.15 (95% Confidence Interval (CI), 1.07–1.23) for 40 g/day increment in pickled vegetable intake in a dose-response manner (P for nonlinearity = 0.11). As for salted fish intake, the pooled risk of gastric cancer incidence was 1.17 (95% CI, 0.99–1.38) times higher, comparing the highest to the lowest intake. Our findings supported the evidence that high intake of pickled vegetable and salted fish is associated with elevated risk of gastric cancer incidence.

scholarly journals Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Clara Bodelon ◽  
Srikant Ambatipudi ◽  
Pierre-Antoine Dugué ◽  
Annelie Johansson ◽  
Joshua N. Sampson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Blood Collection ◽  
Prospective Cohort Studies ◽  
Average Methylation

Abstract Background Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. Methods We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/−), and time since blood collection (< 5, 5–10, > 10 years). The false discovery rate (q value) was used to account for multiple testing. Results The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98). Conclusions Our data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk.

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