The association analysis of lncRNA HOTAIR genetic variants and gastric cancer risk in a Chinese population
- PMID: 26384301
- PMCID: PMC4741602
- DOI: 10.18632/oncotarget.5158
The association analysis of lncRNA HOTAIR genetic variants and gastric cancer risk in a Chinese population
Abstract
The HOX transcript antisense intergenic RNA (HOTAIR), a well-known long noncoding RNA, is involved in pathogenesis and progress of multiple tumors. Its ectopic expression and biological functions have been observed in gastric cancer. In this study, we conducted a two-stage case-control study to evaluate whether genetic variations of HOTAIR were associated with gastric cancer risk. We identified that a single nucleotide polymorphism (SNP) rs4759314 was significantly associated with the increased gastric cancer risk with an odds ratio (OR) of 1.39 [95% confidence interval (CI) = 1.13-1.71, P = 0.002] in the combined sets. Further functional experiments revealed the allele-specific effects on HOTAIR and HOXC11 expressions in gastric cancer tissues, of which HOTAIR and HOXC11 expressions of individuals carrying with AG genotype were much higher than those with AA genotype; similarly, the effects occurred in intronic promoter activities, of which the promoter activity of G allele was more pronounced than that of A allele. Interestingly, we identified a novel potential oncogene HOXC11 in gastric cancer pathogenesis with differential expression in gastric cancer tissues by association analysis with candidate gene strategy. These results suggest that SNP rs4759314 of HOTAIR acts as a potential biomarker for predicting gastric cancer, and the role of HOXC11 in gastric cancer etiology is warranted to further investigation.
Keywords: HOTAIR; gastric cancer; genetic variants; long noncoding RNA.
Conflict of interest statement
We declared no conflicts of interests in this study.
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References
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- Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–386. - PubMed
-
- Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. - PubMed
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