ABSTRACT. We investigate the potential association of miR-149C>T and miR-499A>G polymorphisms and the risk of hepatocellular carcinoma (HCC). A matched case-control study of 152 cases and 304 controls were conducted. The miR-149C>T and miR-499A>G genotypes were analyzed using duplex polymerase chain reaction with restricted fragment length polymorphism. HCC patients were more likely to be smokers and drinkers, have hepatitis B and C virus infections, and a family history of cancer. The miR-149 CC genotype was associated with a reduced risk of HCC, while the miR-499 GG genotype was associated with an increased risk of HCC. However, we did not find that the miR-149 CC and miR-499 GG genotypes were associated with risk of HCC, and no interaction was found between miR-149C>T and miR-499A>G polymorphisms and hepatitis B virus infection. In conclusion, the miRNA-149C>T and miR-499A>G polymorphisms were found to play an important role for HCC risk in China. This finding could be useful in identifying people at high risk for the disease for early intervention.

No abstract

Background: Single nucleotide polymorphisms (SNPs) have been inconsistently associated with pancreatic cancer (PC) risk. This meta-analysis aimed to synthesize relevant data on SNPs associated with PC. Methods: Databases were searched to identify association studies of SNPs and PC published through January 2020 from the databases of PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, the Chinese Science and Technology Periodical Database (VIP) and Wanfang databases. Network meta-analysis and Thakkinstian algorithm were used to select the most appropriate genetic model, along with false positive report probability (FPRP) for noteworthy associations. The methodological quality of data was assessed based on the STREGA statement Stata 14.0 will be used for systematic review and meta-analysis. Results: This study will provide a high-quality evidence to find the SNP most associated with pancreatic cancer susceptibility and the best genetic model. Conclusions: This study will explore which SNP is most associated with pancreatic cancer susceptibility. Registration: INPLASY202040023.

No abstract