Study of the association between five polymorphisms and risk of hepatocellular carcinoma: A meta-analysis.

BACKGROUND: Recently, several studies have investigated the association between polymorphisms in miR-146a rs2910164, miR-196a2 rs11614913, miR-499 rs3746444, miR-149 rs229283, miR-34b/c rs4938723, and hepatocellular carcinoma (HCC), which showed inconclusive results. METHODS: A publication search was performed in PubMed, ExcerptaMedica Database, Chinese Biomedical Literature Database, and Chinese National Knowledge Infrastructure to collect relevant medical data published through February 2016. The aim of this study was to ascertain the association between HCC and micro-RNAs. A total of 21 studies were included in our study, which showed that miR-146a rs2910164 polymorphism has a significant association with HCC in the allele, recessive, and homozygous models overall [allele model: odds ratio (OR) = 0.927, 95% confidence interval (CI): 0.869-0.988, p = 0.02; recessive model: OR = 0.893, 95% CI: 0.814-0.981, p = 0.018; homozygous model: OR = 0.853, 95% CI: 0.744-0.978, p = 0.023] and in Asian populations (allele model: OR = 0.921, 95% CI: 0.863-0.983, p = 0.014; recessive model: OR = 0.893, 95% CI: 0.814-0.981, p = 0.019; homozygous model: OR = 0.851, 95% CI: 0.741-0.977, p = 0.022). For miR-196a2 rs11614913, significant statistical heterogeneity overall and in Asian populations was identified in the comparison of the allele, recessive, homozygous, and heterozygous models (overall: allele model: OR = 0.889, 95% CI: 0.842-0.94, p < 0.001; recessive model: OR = 0.837, 95% CI: 0.723-0.970, p = 0.018; homozygous model: OR = 0.722, 95%CI: 0.575-0.906, p = 0.005; heterozygous model: OR = 0.532, 95% CI: 0.37-0.765, p = 0.001), and also has a decreased risk of HCC in Caucasians in all genetic models except for the heterozygous model (allele model: OR = 0.658, 95% CI: 0.49-0.885, p = 0.006; dominant model: OR = 0.641, 95% CI: 0.418-0.981, p = 0.041; recessive model: OR = 0.489, 95% CI: 0.278-0.862, p = 0.013; homozygous model: OR = 0.414, 95% CI: 0.222-0.772, p = 0.005). Only the recessive models produced a significant association between miR-499 rs3746444 polymorphism and HCC risk (recessive model: OR = 1.283, 95% CI: 1.008-1.632, p = 0.043). RESULTS: The analysis for miR-146a rs2910164 polymorphisms by racial decent found the same association between miR-146a rs2910164 polymorphism and susceptibility to HCC in Asians, but no significance risk association was observed in Caucasians. The meta-analysis results showed that miR-196a2 rs11614913 was associated with a decreased risk of HCC in Caucasians in all genetic models except for the heterozygous model. In the Asian population, miR-499 rs3746444 polymorphism was associated with a decreased risk of HCC in recessive models. This meta-analysis showed that no significant statistical heterogeneity was identified in miR-149 rs2292832 and miR-34b/c rs4938723. CONCLUSION: Our findings supported the proposition that the polymorphisms of miR-146a rs2910164, miR-196a2 rs11614913, and miR-196a2 rs11614913 may contribute to the susceptibility of HCC.

[Infiltrated T Cells Induce the Accumulation of Myeloid-derived Suppressor Cells in Tumor Microenvironment].

OBJECTIVE: To determine the role of infiltrated T cells in the accumulation of myeloid-derived suppressor cells (MDSCs) in tumor microenvironment. METHODS: T-cell-deficient nude mice models were established using BALB/c mice. Growth of tumors was compared between those with and without adoptive transfer of T cells. Pathological changes of the tumors were examined with HE histological analysis. The levels of MDSCs were detected with flow cytometry (FACS). RESULTS: Tumor growth was promoted in T-cell-deficient nude mice, which was accompanied with lower levels of MDSCs compared with BALB/c mice (P < 0.05). T cell transfer increased the level of MDSCs significantly (P < 0.05). T cells depletion decreased the level of MDSCs (P < 0.05). CONCLUSION: Infiltrated T cells induce the accumulation of MDSCs in tumor microenvironment, and influence tumor growth.

Associations of single nucleotide polymorphisms in miR-146a, miR-196a, miR-149 and miR-499 with colorectal cancer susceptibility.

BACKGROUND: MicroRNAs (miRNAs) are an abundant class of endogenous small non-coding RNAs of 20-25 nucleotides in length that function as negative gene regulators. MiRNAs play roles in most biological processes, as well as diverse human diseases including cancer. Recently, many studies investigated the association between SNPs in miR-146a rs2910164, miR-196a2 rs11614913, miR-149 rs229283, miR-499 rs3746444 and colorectal cancer (CRC), which results have been inconclusive. METHODOLOGY/PRINCIPAL FINDINGS: PubMed, EMBASE, CNKI databases were searched with the last search updated on November 5, 2013. For miR-196a2 rs11614913, a significantly decreased risk of CRC development was observed under three genetic models (dominant model: OR = 0.848, 95%CI: 0.735-0.979, P = 0.025; recessive model: OR = 0.838, 95%CI: 0.721-0.974, P = 0.021; homozygous model: OR = 0.754, 95%CI: 0.627-0.907, P = 0.003). In the subgroup analyses, miR-196a2*T variant was associated with a significantly decreased susceptibility of CRC (allele model: OR = 0.839, 95%CI: 0.749-0.940, P = 0.000; dominant model: OR = 0.770, 95%CI: 0.653-0.980, P = 0.002; recessive model: OR = 0.802, 95%CI: 0.685-0.939, P = 0.006; homozygous model: OR = 0.695, 95%CI: 0.570-0.847, P = 0.000). As for miR-149 rs2292832, the two genetic models (recessive model: OR = 1.199, 95% CI 1.028-1.398, P = 0.021; heterozygous model: OR = 1.226, 95% CI 1.039-1.447, P = 0.013) demonstrated increased susceptibility to CRC. On subgroup analysis, significantly increased susceptibility of CRC was found in the genetic models (recessive model: OR = 1.180, 95% CI 1.008-1.382, P = 0.040; heterozygous model: OR = 1.202, 95% CI 1.013-1.425, P = 0.013) in the Asian group. CONCLUSIONS: These findings supported that the miR-196a2 rs11614913 and miR-149 rs2292832 polymorphisms may contribute to susceptibility to CRC.