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

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.

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

Disease Markers ◽

10.1155/2020/6723487 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13 ◽

Cited By ~ 3

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.

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Association of microRNA Polymorphisms with the Risk of Gastric Cancer in a Romanian Population

Journal of Gastrointestinal and Liver Diseases ◽

10.15403/jgld.2014.1121.263.rog ◽

2017 ◽

Vol 26 (3) ◽

pp. 231-238 ◽

Cited By ~ 10

Author(s):

Ion Rogoveanu ◽

Florin Burada ◽

Mihai Gabriel Cucu ◽

Cristin Constantin Vere ◽

Mihai Ioana ◽

...

Keyword(s):

Gastric Cancer ◽

Cancer Risk ◽

Genetic Model ◽

Cancer Susceptibility ◽

Statistical Significance ◽

Recessive Model ◽

Nucleotide Polymorphisms ◽

Gastric Cancer Risk ◽

Single Nucleotide ◽

Gastric Cancer Patients

Background & Aims: MicroRNAs (miRNAs) play an important role in the occurrence and progression of human cancers, including gastric cancer. Our hospital-based case-control study aimed to investigate whether four commonly studied single nucleotide polymorphisms (SNPs) have effects on susceptibility to gastric cancer in a Romanian population.Method: We genotyped the miR-27a rs895819, miR-146a rs2910164, miR-196a2 rs11614913 and miR-499 rs3746444 SNPs by real-time PCR using predesignated TaqMan assays in 430 individuals (142 gastric cancer patients and 288 age and gender matched cancer-free controls). The associations between the investigated miRNA SNPs and gastric cancer risk were assessed by odds ratio (OR) with 95% confidence interval (CI) using logistic regression analysis.Results: A higher frequency of the miR-27a rs895819 CC genotype (OR 1.98, 95% CI: 1.05-3.73, p=0.036) was found in the patients with gastric cancer compared with the controls. Similar results were observed in a recessive model, the CC genotype was correlated with gastric cancer susceptibility (OR 1.95, 95% CI: 1.07-3.55, p=0.032). In the stratified analysis, the association between miR-27a rs895819 SNP and gastric cancer risk was limited to noncardia (OR 2.08, 95% CI: 1.10-3.94, p=0.027) and intestinal (OR 2.27, 95% CI: 1.05-4.92, p=0.042) subgroups. However, after Bonferroni correction, all associations described above lost statistical significance. No correlation was observed for the remaining SNPs and risk of gastric cancer in any genetic model studied.Conclusion: This study showed no association of the investigated miRNA SNPs with the risk of gastric cancer in a Romanian population.Key words: – – – .Abbreviations: GC: gastric cancer; miRNA: microRNA; SNP: single nucleotide polymorphism.

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