Dataset Information

Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility.

ABSTRACT: BACKGROUND:Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk. MATERIALS & METHODS:A total of 506 gastric cancer patients and 500 healthy controls were enrolled in this study. Genotypes were examined with the MassARRAY platform and data management and analysis were conducted with the Typer Software. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated with logistic regression adjusting for age and gender to evaluate the associations between SNPs with gastric cancer in genetic model analysis. RESULTS:The "CC" genotype of rs4143370 decreased the risk of gastric cancer in genotype model (p?=?0.020) and recessive model (p?=?0.018). Inversely, the "CC" genotype of rs1893650 increased the risk of gastric cancer in genotype model (p?=?0.023) and recessive model (p?=?0.014). Stratified analysis showed that rs11911469 was associated with an increased risk of gastric cancer only among the male group in the dominant model (p?=?0.039) and additive model (p?=?0.030). The haplotype analysis showed a strong linkage disequilibrium among these six SNPs (rs4143370, rs77699734, rs11911469, rs1893650, rs34904192 and rs928883). CONCLUSION:This study confirmed the relationship between SNPs of MIR155HG and the gastric cancer risk among the Chinese Han population. Our data may provide a new perspective to understand the aetiology of gastric cancer.

SUBMITTER: Zou W

PROVIDER: S-EPMC6972026 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility.

Zou Wenjing W Li Xu X Li Cheng C Liu Dan D Lv Yanyan Y Yang Ying Y Ye Nan N Guo Dan D He Shuixiang S

BMC gastroenterology 20200120 1

<h4>Background</h4>Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk.<h4>Materials & methods</h4>A total of 506 gastric cancer patients and 500 healthy controls were enrolled in this study. Genotypes were examined with the MassARRAY platform and data management and analysis were conducted with the Typer Software. Odds ratios (OR) ...[more]

PMID: 31959117

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Project description:BackgroundThe associations between Rad51 gene polymorphisms (G135C and G172T) and risk of cancer have been investigated, but the results were inconclusive. To get a comprehensive evaluation of the association above, we performed a meta-analysis of published studies.MethodsA computerized search of PubMed, Embase and Web of Knowledge databases for all relevant studies was performed and the data were analyzed in a meta-analysis. The overall odds ratio (OR) with the 95% confidence interval (95% CI) was calculated to assess the strength of the association between Rad51 polymorphisms and cancer risk. Data were analyzed using fixed- or random-effects model when appropriate. Sensitivity analysis and publication bias test were also estimated.ResultsOverall, a total of 54 case-control studies were included in the current meta-analysis, among which 42 studies with 19,142 cases and 20,363 controls for RAD51 G135C polymorphism and 12 studies with 6,646 cases and 6,783 controls for G172T polymorphism. For G135C polymorphism, the pooled results indicated that significantly increased risk was found in overall cancers (homozygote model: OR = 1.776, 95% CI = 1.288-2.449; allelic genetic model: OR = 1.169, 95% CI = 1.016-1.345; recessive model: OR = 1.946, 95% CI = 1.336-2.835), especially in breast cancer (homozygote model: OR = 1.498, 95% CI = 1.026-2.189; recessive model: OR = 1.732, 95% CI = 1.170-2.562). For G172T polymorphism, a decreased cancer risk was observed in head and neck cancer (homozygote model: OR = 0.621, 95% CI = 0.460-0.837; allelic genetic model: OR = 0.824, 95% CI = 0.716-0.948; recessive model: OR = 0.639, 95% CI = 0.488-0.837).ConclusionsOur results suggested that the Rad51 G135C polymorphism is a candidate for susceptibility to overall cancers, especially to breast cancer, and that the Rad51 G172T might play a protective role in the development of head and neck cancer.

Project description:PurposePrevious studies showed that peroxisome proliferator-activated receptor gamma (PPARγ) and PPARγ coactivator1 family (PPARGC1A and PPARGC1B) gene single nucleotide variants (SNVs)were strongly associated with cancer susceptibility. The purpose of this study was to investigate the association of PPARγ, PPARGC1A, and PPARGC1B variants with the risk of gastric cancer (GC).Patients and methodsWe performed a case-control study of 490 GC cases and 1,476 healthy controls from eastern China. PPARγ rs1801282 C > G, rs3856806 C > T, PPARGC1A rs2970847 C > T, rs8192678 C > T and PPARGC1B rs7732671 G > C, rs17572019 G > A SNVs were selected to investigate the association between these SNVs and GC susceptibility. Genotypes of the SNVs were assessed by multiplex fluorescent PCR using a custom-by-design 48-Plex SNPscantm Kit.ResultsThe PPARγ rs1801282 SNV was associated with a decreased risk for GC (GC vs. CC: odds ratio (OR) = 0.62, 95% confidence interval (95%CI) = 0.42-0.93, adjusted P = 0.019; GC + GG vs. GG: OR = 0.63 95%CI = 0.42-0.93, adjusted P = 0.019; respectively). In addition, stratified analysis revealed that the PPARγ rs1801282 SNV was correlated with the risk of GC in subgroups of age ≥ 61, no smoking, and no alcohol consuming. We also confirmed that the PPARγ rs3856806 C > T SNV promoted the risk of GC in women. The PPARGC1A rs8192678 TT genotype decreased the susceptibility of GC in men. The PPARGC1A rs2970847 C > T SNV decreased the susceptibility of GC in the subgroup of BMI ≥ 24 kg/m2. The PPARGC1B rs7732671 G > C and rs17572019 G > A SNVs promoted the risk of GC in the subgroup of BMI ≥ 24 kg/m2.ConclusionThis study indicates that the PPARγ, PPARGC1A, and PPARGC1B SNVs may be associated with the susceptibility of GC in eastern Chinese population. Future studies with larger populations, detailed H. pylori infection status for subgroup analysis, and functional study are needed to further clarify the relationship between these SNVs and GC risk.

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Dataset Information

Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility.

Publications

Analysis of the relationship between MIR155HG variants and gastric Cancer susceptibility.

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