The tumor suppressor role of AT-rich interactive domain containing protein 1B (ARID1B) has drawn much attention in area of cancer etiology. However, it had remained unknown whether or not genetic variants of ARID1B involved in development of hepatocellular carcinoma (HCC). In this study, three putatively functional variants in ARID1B (rs73013281C>T, rs167007A>G, and rs9397984C>T) were selected using bioinformatics tools, and a case-control study of 611 cases and 614 controls was conducted to investigate genetic associations with HCC risk in a Southern Chinese population. Two-dimensional gene-environment interactions were also explored using both multiplicative and additive scales. A dominant effect of the rs73013281 was found for HCC risk, with an adjusted odds ratio (OR) of 1.70 [95% confidence interval (CI) = 1.03−2.80] for the CT/TT genotypes compared to the CC genotype. In stratified analysis, the detrimental effect of the T allele on elevated HCC risk was attenuated by physical activity, with an adjusted OR of 2.75 (95% CI = 1.39−5.41) among inactive individuals against that of 0.89 (95% CI = 0.42−1.91) in those who exercised regularly. Expectably, the rs73013281 showed both multiplicative and additive interactions with physical activity (P = 0.037 and 0.006, respectively). In conclusion, these results highlighted the significant genetic contribution of the ARID1B variant, rs73013281, to susceptibility for HCC, especially in interaction with physical activity.
Background: Type 2 diabetes mellitus (DM) severely reduces the benefits of coronary artery bypass grafting (CABG). However, few studies investigated the correlation between preoperative glucose level and endogenous extracellular matrix (ECM)-related gene expression of saphenous vein (SV) conduits in diabetic patients. Methods: A total of 130 patients were divided into high-glucose (HG), low-glucose (LG) and control group according to the preoperative level of blood glucose. The expression of ECM-related genes was analysed by microarray. Results: Compared with control group, 30 genes showed at least a threefold change in expression in HG group; upregulation was observed in 24 genes. However, there were only 21 ECM-related genes showed at least a threefold change in expression between the LG and control group. Compared with HG group, matrix metalloproteinases' (MMPs) expression was significantly decreased in LG and control groups. In contrast to the decrease in MMPs' expression, expression of tissue inhibitors of metalloproteinases (TIMPs) was increased. Conclusion: This study suggested that different preoperative diabetic status affected the expression of ECM-related genes in SV. ECM-related genes were more significantly imbalanced in diabetic patients with uncontrolled preoperative blood glucose than those with well-controlled preoperative blood glucose.
Genome‐wide association study recently identified a novel antiviral gene INTS10 (index rs7000921) in suppression of hepatitis B virus (HBV) replication. However, data were lacking on single nucleotide polymorphisms (SNPs) of INTS10 in the context of hepatocellular carcinoma (HCC) induced by HBV infection. Herein, we conducted a case‐control study, including 737 HBV‐related HCC cases and 750 persistently HBV‐infected controls, to investigate the effect of INTS10 SNPs and their gene–environment interactions on HBV‐related HCC. In multivariate analysis, the CT genotype of rs7000921 conferred a decreased risk of HBV‐related HCC compared to the TT genotype (adjusted odds ratio [OR] = 0.79, 95% confidence interval [CI] = 0.64–0.98, p for permutation test = .038). Among the 12 tagSNPs, the rs4268139 yielded a borderline significant association with disease risk under the additive model (adjusted OR = 0.80, 95% CI = 0.63–1.00, p for permutation test = .061). Random forest model further suggested the rs7000921 and rs7822495 as the two‐top ranked important SNPs, and thus a weighted genetic risk score (wGRS) was generated from these two SNPs plus rs4268139. The highest tertile of wGRS was associated with an increased risk, with an adjusted OR of 1.36 (95% CI = 1.05–1.75, p for permutation test = .016) compared to the lowest wGRS. Furthermore, an additive interaction was seen between wGRS and drinking (attributable proportion due to interaction [AP] = 0.21, 95% CI = 0.02–0.43, p = .016). The additive interaction between wGRS and smoking approached near significance (AP = 0.15, 95% CI = 0.00–0.32, p = .045). INTS10 polymorphisms may contribute to the progression from HBV infection to HCC. More importantly, INTS10 polymorphisms interact with drinking and smoking to affect the progression.
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