scholarly journals Association between lncRNA GAS5, MEG3, and PCAT-1 Polymorphisms and Cancer Risk: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyan Dong ◽  
Wenyan Gao ◽  
Xiaoling LV ◽  
Yazhen Wang ◽  
Qing Wu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Publication Bias ◽  
Fixed Effects ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Biomedical Literature ◽  
Cochrane Library ◽  
Gastric Cancer Risk ◽  
Lncrna Gas5

Purpose. Long noncoding RNAs (lncRNAs) have been widely studied, and single nucleotide polymorphisms (SNPs) in lncRNAs are considered to be genetic factors that influence cancer susceptibility. The lncRNA GAS5, MEG3, and PCAT-1 polymorphisms are shown to be possibly associated with cancer risk. The aim of this meta-analysis was to systematically evaluate this association. Methods. Studies were selected from PubMed, Web of Science, Embase, Google Scholar, Cochrane Library, the Chinese National Knowledge Infrastructure (CNKI), and the Chinese Biomedical Literature Database (CBM) through inclusion and exclusion criteria. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using the random-effects model or fixed-effects model to assess the association between lncRNA polymorphisms and cancer susceptibility. Metaregression and publication bias analyses were also conducted. All analyses were performed using the Stata 12.0 software. Results. Sixteen articles (covering 13750 cases and 17194 controls) were included in this meta-analysis. A significant association between SNP rs145204276 and gastric cancer risk was observed (del vs. ins: OR=0.79, 95%CI=0.72‐0.86; del/del vs. ins/ins+del/ins: OR=0.74, 95%CI=0.59‐0.91; del/ins vs. ins/ins: OR=0.84, 95%CI=0.67‐1.05). For rs16901904, a decreased cancer risk was observed in three genetic models (C vs. T: OR=0.79, 95%CI=0.70‐0.90; CC vs. CT+TT: OR=0.49, 95%CI=0.37‐0.65; CC vs. TT: OR=0.49, 95%CI=0.37‐0.66). No statistical significance was found in the metaregression analysis. For all of the included SNPs, no publication bias was found in all genotype models. Conclusions. The rs145204276 SNP in lncRNA GAS5 is likely to be associated with gastric cancer risk, whereas the rs16901904 SNP in lncRNA PCAT-1 bears association with a decreased cancer risk.

scholarly journals Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Qing Ni ◽  
Anlai Ji ◽  
Junfeng Yin ◽  
Xiangjun Wang ◽  
Xinnong Liu
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Potential Effect ◽  
Recessive Model ◽  
Dominant Model ◽  
Common Snps ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk

Background. Single nucleotide polymorphisms (SNPs) in genes encoding microRNAs may play important role in the development of gastric cancer. It has been reported that common SNPs rs2910164 in miR-146a and rs11614913 in miR-196a2 are associated with susceptibility to gastric cancer. The published results remain inconclusive or even controversial. A meta-analysis was conducted to quantitatively assess potential association between the two common SNPs and gastric cancer risk.Methods. A comprehensive literature search was performed in multiple internet-based electronic databases. Data from 12 eligible studies were extracted to estimate pooled odds ratios (ORs) and 95% confidence intervals (95% CI).Results. C allele of rs2910164 is associated with reduced gastric cancer risk in heterozygote model and dominant model whereas rs11614913 indicates no significant association. Subgroup analysis demonstrates that C allele of rs2910164 and rs11614913 may decrease susceptibility to diffuse type gastric cancer in dominant model and recessive model, respectively, while rs11614913 increased intestinal type gastric cancer in dominant model.Conclusion. SNPs rs2910164 and rs11614913 might have effect on gastric cancer risk in certain genetic models and specific types of cancer. Further well-designed studies should be considered to validate the potential effect.

scholarly journals ASSOCIATION OF INTERLEUKIN-10 -1082 A/G (RS1800896) POLYMORPHISM WITH SUSCEPTIBILITY TO GASTRIC CANCER: META-ANALYSIS OF 6,101 CASES AND 8,557 CONTROLS

2018 ◽  
Vol 55 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Abolfazl NAMAZI ◽  
Mohammad FORAT-YAZDI ◽  
Mohammadali JAFARI ◽  
Soudabeh FARAHNAK ◽  
Rezvan NASIRI ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Dominant Model ◽  
Gastric Cancer Risk ◽  
Case Control Studies ◽  
Allele Model

ABSTRACT BACKGROUND: The promoter -1082 A/G (rs1800896) polymorphism of Interleukin-10 (IL-10) gene have been widely reported and considered to have a significant role on gastric cancer risk, but the results are inconsistent. OBJECTIVE: To clarify the association, we conducted a meta-analysis to investigate the associations IL-10 -1082 A/G polymorphism with gastric cancer. METHODS: Eligible articles were identified by searching databases including PubMed, Web of Science, and Google Scholar up to August 03, 2017. Odds ratios (OR) with corresponding 95% confidence intervals (CIs) were used to assess the association. RESULTS: A total of 30 case-control studies with 6,101 cases and 8,557 controls were included in this meta-analysis. Overall, a significant association between IL-10 -1082 A/G polymorphism and gastric cancer risk was observed under the allele model (G vs A: OR=1.305, 95% CI=1.076-1.584; P=0.007), heterozygote model and (GA vs AA: OR=1.252, 95% CI=1.252-1.054; P=0.011) and dominant model (GG+GA vs AA: OR=1.264, 95% CI=1.053-1.516; P=0.012). In the subgroup analysis by ethnicity, increased gastric cancer risk were found in Asians under the allele model (G vs A: OR=1.520, 95% CI=1.172-1.973; P=0.002), homozygote model (GG+GA vs AA: OR=1.571, 95% CI=1.023-2.414; P= 0.039), heterozygote model (GA vs AA: OR=1.465, 95% CI=1.192-1.801; P≤0.001) and dominant model (GG+GA vs AA: OR=1.448, 95% CI=1.152-1.821; P=0.002), but not among Caucasian and Latinos populations. CONCLUSION: These results suggested that the IL-10 -1082 A/G (rs1800896) polymorphism might contribute to the gastric cancer susceptibility, especially among Asians.

scholarly journals IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk: A meta-analysis

2018 ◽  
Vol 13 (1) ◽  
pp. 71-76
Author(s):  
Wang Ying ◽  
Yu Yingcong ◽  
You Liyi ◽  
Zheng Liang
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Publication Bias ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Case Control ◽  
Small Sample ◽  
Gastric Cancer Risk ◽  
Statistical Heterogeneity

AbstractObjectiveThe purpose of this study was to investigate the correlation between Interleukin 17 (IL-17) gene rs3748067 C>T polymorphism and gastric cancer risk through pooling the open published data.MethodCase-control or cohort studies relevant to IL-17 gene rs3748067 C>T polymorphism and gastric cancer susceptibility were systematic searched for in the databases of CNKI, Pubmed, Medline, Embase and Web of science. The association between IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk were expressed with an odds ratio(OR) and 95% confidence interval (95% CI). Statistical heterogeneity across the studies was evaluated by I2 test. Publication bias was evaluated by Begg’s funnel plot and Egger’s line regression test.ResultsFinally, seven case-control studies were included in our present study. Because of the statistical heterogeneity among the included studies for the aspects of dominant (TT+CT vs CC), recessive (TT vs CT+CC) and homozygous genetic model (TT vs CC), the data was pooled by random effect model. The pooled ORs were OR=0.99 (95% CI: 0.65-1.52), OR =1.23 (95% CI: 0.73-2.06 ) and OR=1.14 (95% CI: 0.58-2.27) for dominant, recessive and homozygous genetic model respectively. The pooled data indicated no correlation between IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk. Significant publication bias was found in the dominant genetic model (p<0.05), but not in recessive and homozygous genetic model (p>0.05).ConclusionBased on the present evidence, there was no correlation between IL-17 gene rs3748067 C>T polymorphism and gastric cancer susceptibility in all genetic model. However, for the small sample size, significant heterogeneity and publication bias, the conclusion should be further evaluated through well designed case-control or cohort studies.

scholarly journals Association between polymorphisms of thymidylate synthase gene 5′- and 3′-UTR and gastric cancer risk: meta-analysis

2016 ◽  
Vol 36 (6) ◽  
Author(s):  
Ao Mo ◽  
Yongliang Zhao ◽  
Yan Shi ◽  
Feng Qian ◽  
Yingxue Hao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Thymidylate Synthase ◽  
Large Scale ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Caucasian Population ◽  
Gastric Cancer Risk ◽  
Increased Risk ◽  
Gastric Cancer Patients

Gastric cancer is the most common cancer and the most frequent cause of cancer death worldwide. Several studies have identified the role of thymidylate synthase (TS) 5′- and 3′-UTR and gastric cancer susceptibility; however, the results still remain inconclusive. The purpose of this meta-analysis was to reinvestigate this correlation. In the present study, online databases were searched to retrieve relevant articles published between January 2000 and 2016. The odds ratio (OR) and 95% confidence interval (CI) were employed to calculate the strength of association. Overall, a total of 13 articles were screened out, including 2382 gastric cancer patients and 3171 healthy controls. We found that polymorphisms of TS 5′-UTR 2R (double repeats)/3R (triple repeats) of a 28-bp sequence (11 articles) and 3′-UTR del6/ins6 (seven articles) were not significantly associated with increased risk of gastric cancer. Subgroup analysis by ethnicity showed that 2R allele and 2R/2R genotype in TS 5′-UTR were associated with gastric cancer susceptibility in Caucasian and African populations; del6 allele, del6/del6 and del6/ins6 genotypes were correlated with gastric cancer in Caucasian population. In conclusion, our result suggested that TS polymorphisms might be the risk factors for gastric cancer risk in Caucasian population, although this association needs further study, and future large-scale researches are still required.

Association of IL-6 polymorphisms with gastric cancer risk: Evidences from a meta-analysis

Cytokine ◽  
2012 ◽  
Vol 59 (1) ◽  
pp. 176-183 ◽  
Author(s):  
Wang Junli ◽  
He Wenjun ◽  
Liu Jinxin ◽  
Nong Legen ◽  
Wei Yesheng ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Gastric Cancer Risk

scholarly journals Alcohol drinking and gastric cancer risk: a meta-analysis of observational studies

Oncotarget ◽  
2017 ◽  
Vol 8 (58) ◽  
pp. 99013-99023 ◽  
Author(s):  
Peng-Liang Wang ◽  
Fang-Tao Xiao ◽  
Bao-Cheng Gong ◽  
Fu-Nan Liu
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Alcohol Drinking ◽  
Observational Studies ◽  
Meta Analysis ◽  
Gastric Cancer Risk

scholarly journals Association between CHFR gene hypermethylation and gastric cancer risk: a meta-analysis

2016 ◽  
Vol Volume 9 ◽  
pp. 7409-7414 ◽  
Author(s):  
Hua Shi ◽  
Xiaojing Wang ◽  
Jianbo Wang ◽  
Jundi Pan ◽  
Junwei Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Gastric Cancer Risk ◽  
Em Gene

Use of Statins and Breast Cancer: A Meta-Analysis of Seven Randomized Clinical Trials and Nine Observational Studies

2005 ◽  
Vol 23 (34) ◽  
pp. 8606-8612 ◽  
Author(s):  
Stefanos Bonovas ◽  
Kalitsa Filioussi ◽  
Nikolaos Tsavaris ◽  
Nikolaos M. Sitaras
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Publication Bias ◽  
Observational Studies ◽  
Fixed Effects ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Fixed Effects Model

Purpose A growing body of evidence suggests that statins may have chemopreventive potential against breast cancer. Laboratory studies demonstrate that statins induce apoptosis and reduce cell invasiveness in various cell lines, including breast carcinoma cells. However, the clinical relevance of these data remains unclear. The nonconclusive nature of the epidemiologic data prompted us to conduct a detailed meta-analysis of the studies published on the subject in peer-reviewed literature. Patients and Methods A comprehensive search for articles published up until 2005 was performed; reviews of each study were conducted; and data were abstracted. Before meta-analysis, the studies were evaluated for publication bias and heterogeneity. Pooled relative risk (RR) estimates and 95% CIs were calculated using the random and the fixed-effects models. Subgroup and sensitivity analyses were also performed. Results Seven large randomized trials and nine observational studies (five case-control and four cohort studies) contributed to the analysis. We found no evidence of publication bias or heterogeneity among the studies. Statin use did not significantly affect breast cancer risk (fixed effects model: RR = 1.03; 95% CI, 0.93 to 1.14; random effects model: RR = 1.02; 95% CI, 0.89 to 1.18). When the analyses were stratified into subgroups, there was no evidence that study design substantially influenced the estimate of effects. Furthermore, the sensitivity analysis confirmed the stability of our results. Conclusion Our meta-analysis findings do not support a protective effect of statins against breast cancer. However, this conclusion is limited by the relatively short follow-up times of the studies analyzed. Further studies are required to investigate the potential decrease in breast cancer risk among long-term statin users.

Association between vitamin A, retinol intake and blood retinol level and gastric cancer risk: A meta-analysis

2015 ◽  
Vol 34 (4) ◽  
pp. 620-626 ◽  
Author(s):  
Yihua Wu ◽  
Yao Ye ◽  
Yu Shi ◽  
Peiwei Li ◽  
Jinming Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Vitamin A ◽  
Meta Analysis ◽  
Gastric Cancer Risk

scholarly journals Aspirin and non-steroidal anti-inflammatory drugs use reduce gastric cancer risk: A dose-response meta-analysis

Oncotarget ◽  
2016 ◽  
Vol 8 (3) ◽  
pp. 4781-4795 ◽  
Author(s):  
Xuan-zhang Huang ◽  
You Chen ◽  
Jian Wu ◽  
Xi Zhang ◽  
Cong-cong Wu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Dose Response ◽  
Meta Analysis ◽  
Gastric Cancer Risk ◽  
Inflammatory Drugs ◽  
Anti Inflammatory
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