MicroRNA-372 (miR-372) acts as either an oncogenic miRNA or an anti-oncomiR in various human malignancies. However, its roles in gliomas have not been elucidated. To address this problem, we here detected miR-372 expression in human gliomas and non-neoplastic brain tissues by real-time quantitative RT-PCR assay. The association of miR-372 expression with clinicopathological factors or prognosis of glioma patients was also statistically analyzed. As the results, miR-372 expression levels were significantly upregulated in glioma tissues compared to the corresponding non-neoplastic brain tissues (P<0.001). In addition, the high miR-372 expression was significantly associated with the advanced pathological grade (P=0.008) and the low Karnofsky performance score (KPS) of glioma patients (P=0.01). Moreover, the overall survival of patients with high miR-372 expression was dramatically shorter than those with low miR-372 expression (P<0.001). Furthermore, multivariate Cox regression analysis indicated that miR-372 expression was an independent prognostic factor for glioma patients (P=0.008). More importantly, subgroup analyses according to tumor pathological grade revealed that the cumulative overall survival of glioma patients with advanced pathological grades was significantly worse for high miR-372 expression group than for low miR-372 expression group (P<0.001), but no significant difference was found for patients with low pathological grades (P=0.08). Taken together, these data offer the convincing evidence for the first time that miR-372 may act as an oncogenic miRNA in gliomas and represent a potential regulator of aggressive development and a candidate prognostic marker for this malignancy, especially for advanced tumors with high pathological grades.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1707761328850011
Three genome-wide association studies (GWAS) have been conducted on the genetic susceptibility of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), two of which consistently identified tagging single nucleotide polymorphisms (SNPs) around HLA-DQ/DR. In contrast, large multi-centre association studies between HBV genotype, mutations and the risk of HCC are relatively rare, and their interactions with host variants are even less. We performed a multi-centre study of 1,507 HBV-related HCC cases and 1,560 HBV persistent carriers as controls to evaluate the effects of HBV genotype, mutations, GWAS-identified HLA-DQ/DR SNPs (rs9272105 and rs9275319) and their interactions on HCC risk. We found HBV genotype C was more frequent in HBV-related HCC. And 11 HBV hotspot mutations were independently and significantly associated with HCC risk. We also detected significant interactions of rs9272105 with both the HBV genotype and mutations. Through stepwise regression analysis, HBV genotype, the 11 mutations, HLA-DQ/DR SNPs, and the interaction of rs9272105 with mutation A1752G were all entered into the HCC prediction model, and the area under the curve for the panel including the HLA-DQ/DR SNPs, HBV genotype and mutations was 0.840. The HBV genotype, the mutations and the HLA-DQ/DR SNPs may serve as biomarkers for the surveillance of HBV persistent carriers.
BACKGROUND: Previous studies have demonstrated that circadian genes play a role in the development and progression of many cancers. This study aims to assess the effects of single nucleotide polymorphisms (SNPs) in circadian genes on recurrence and survival of colorectal cancer (CRC) patients. METHODS: Nine functional SNPs in 3 genes (CLOCK, NPAS2, and BMAL1) on the circadian positive feedback loop were selected and genotyped using the Sequenom iPLEX genotyping system in a cohort of 411 resected Chinese CRC patients. Multivariate Cox proportional hazards model and Kaplan-Meier curve were used for the prognosis analysis. RESULTS: The authors identified 2 SNPs in the CLOCK gene to be significantly associated with CRC overall survival. SNP rs3749474 exhibited a significant association with survival of CRC patients in the additive model (hazard ratio [HR], 0.55; 95% confidence interval [CI], 0.37-0.81; P ¼ .003). In addition, patients carrying the heterozygous variant of rs1801260 had significantly increased overall survival compared with those carrying homozygous wild-type genotype (HR, 0.31; 95% CI, 0.11-0.88; P ¼ .03). Findings from functional assay provided further biological support for these significant associations. Stratified analysis found no modifying effect of chemotherapy on the prognostic significance of both SNPs. Moreover, we observed cumulative effects of these 2 SNPs on CRC overall survival (P for trend ¼ .01). Compared with patients carrying no unfavorable genotypes, those carrying 2 unfavorable genotypes had a 2.92-fold increased risk of death (P ¼ .03).
CONCLUSIONS:The results suggest for the first time that CLOCK gene polymorphisms may serve as an independent prognostic marker for CRC patients. Cancer 2012;118:937-
Our findings confirmed previous reports that polymorphisms of VSX1 and IL1A genes were associated with risk of KTCN in the Chinese population, suggesting an important determinant of KTCN development by VSX1 and IL1A genes.
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