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  • Title: Polymorphisms in Long Noncoding RNA-Prostate Cancer-Associated Transcript 1 Are Associated with Lung Cancer Susceptibility in a Northeastern Chinese Population.
    Author: Bi Y, Cui Z, Li H, Lv X, Li J, Yang Z, Gao M, Zhang Z, Wang S, Zhou B, Yin Z.
    Journal: DNA Cell Biol; 2019 Nov; 38(11):1357-1365. PubMed ID: 31464517.
    Abstract:
    Long noncoding RNAs (lncRNAs) are a new class of potential biomarkers and therapeutic targets for cancer. In this study, we chose four single nucleotide polymorphisms (SNPs) in lncRNA-PCAT1 (rs1026411 G>A, rs12543663 A>C, rs710886 T>C, and rs16901904 T>C) to investigate the association between genetic variant in lncRNA-PCAT1 and susceptibility to lung cancer. The study was a hospital-based case-control study including 561 cancer-free controls and 468 lung cancer cases. Genotyping of four SNPs was conducted by using Taqman® allelic discrimination methods. All statistical analyses were performed by using IBM SPSS Statistics 22 software. We failed to find significant associations between four SNPs and lung cancer risk in all models. However, polymorphisms in rs1026411 and rs710886 were observed to have significant associations with susceptibility to non-small cell lung cancer (AG vs. GG: odds ratio [OR]a = 0.701, p* = 0.020 and AA+AG vs. GG: ORa = 0.711 [superscript "a" refers to OR adjusted by age, gender, and smoking], p* = 0.017 [asterisks "*" refers to p adjusted by age, gender, and smoking] for rs1026411; CT vs. TT: ORa = 0.723, p* = 0.047 and CC+CT vs. TT: ORa = 0.729, p* = 0.038 for rs710886). Besides, the rs1026411 polymorphism had a similar association with lung adenocarcinoma risk (AG vs. GG: ORa = 0.663, p* = 0.019 and AA+AG vs. GG: ORa = 0.685, p* = 0.020). Polymorphisms in rs710886 and rs16901904 were observed to be associated with lung squamous cell carcinoma risk (CC+CT vs. TT: ORa = 0.638, p* = 0.040 for rs710886; CC vs. TT: ORa = 2.582, p* = 0.033 and CC vs. TT+CT: ORa = 2.381, p* = 0.048 for rs16901904). In addition, there were no significant results in gene-environmental interactions in both additive and multiplicative models. Our results suggested that polymorphisms in lncRNA-PCAT1 might be associated with lung cancer susceptibility in a northeastern Chinese population. The results of gene-environmental interactions were not significant in lung cancer.
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