Functional long non-coding RNAs associated with gastric cancer susceptibility and evaluation of the epidemiological efficacy in a central Chinese population.

AIM: To screen and validate the gastric cancer-associated long non-coding RNAs (lncRNAs) and their functional single nucleotide polymorphisms (SNPs).

METHODS: Based on case-control design, we select the differentially expressed lncRNAs by bioinformation tools and validate SNPs in lncRNAs genes in population. Attributable risk percentage (ARP) and population attributable risk percentage (PARP) were used to assess the effect of epidemiology.

RESULTS: Four lncRNAs with SNPs (lnc-EVX1-3:3 (rs1859168), lnc-MACC1-1:7 (rs3815254), lnc-AMFR-1:1 (rs4784659) and lnc-ZNF33B-2:1 (rs579501)) were selected to be validated in population. The unconditional multiple logistic regression based on the dominant (odds ratio, OR=0.64, 95%confidence interval, 95%CI: 0.47-0.86) and recessive genetic model (OR=1.77, 95%CI: 1.34-2.35) showed rs1859168 was significantly associated with lower risk of gastric cancer. The dominant (OR=0.42, 95%CI:0.31-0.57) and additive (OR=0.52, 95%CI:0.40-0.67) genetic model revealed that rs4784659 decreased the risk of gastric cancer. Similarly, the dominant (OR=0.72, 95%CI: 0.52-0.98) and additive (OR=0.73, 95%CI: 0.56-0.97) genetic model showed the individuals with rs579501 had reduced risk of gastric cancer. Whereas no statistical association between rs3815254 and gastric cancer. ARP and PARP for gastric cancer associated with rs1859168 in dominant model (56.25%, 33.05%), and in recessive model (43.50% and 29.37%). For rs4784659, ARP and PARP were 138.09% and 10.39% in dominant model, 92.31% and 8.76% in additive model. For rs579501, ARP and PARP were 38.89% and 4.03% in dominant model, 36.99% and 3.88% in additive model.

CONCLUSION: Our findings showed rs4784659, rs579501 and rs1859168 reduced the susceptibility of gastric cancer. From epidemiological perspective, the lncRNAs with SNPs attenuate the development of gastric cancer.