title: Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies.
abstract: HOX transcript antisense intergenic RNA (HOTAIR) is a long non-coding RNA (lncRNA) that functions as an oncogenic molecule in different cancer cells. Genetic variants of HOTAIR may affect the activity of certain regulatory factors and further regulate the aberrant expression of HOTAIR, which might be underlying mechanisms that affect tumour susceptibility and prognosis. Recently, several studies have been performed to examine the possible link between polymorphisms in HOTAIR and cancer risk; however, the results have been inconclusive. Therefore, we performed a meta-analysis to estimate the associations between HOTAIR polymorphisms (rs920778, rs4759314 and rs1899663) and cancer risk. Eight studies comprising 7,151 cases and 8,740 controls were included in our study. Overall, no significant associations between the HOTAIR polymorphisms (rs920778, rs4759314 and rs1899663) and cancer risk were observed. However, in further stratified analyses, the variant T allele of rs920778 exhibited a significant increased risk of developing digestive cancers (dominant model: OR = 1.44; 95% CI = 1.31-1.59). These findings provided evidence that HOTAIR rs920778 may modify the susceptibility to certain cancer types. Further studies incorporating subjects with different ethnic backgrounds combined with re-sequencing of the marked region and functional evaluations are warranted.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Tian
authors.initials: T
authors.lastname: Tian
authors.affiliation: Analysis and Testing Center of Nantong University, Nantong, Jiangsu, China.
authors.forename: Chunjian
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Xiao
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Yihua
authors.initials: Y
authors.lastname: Lu
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Liying
authors.initials: L
authors.lastname: Jiang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Xun
authors.initials: X
authors.lastname: Zhuang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
authors.forename: Minjie
authors.initials: M
authors.lastname: Chu
mesh_terms: D000483:Alleles; D015972:Gene Expression Regulation, Neoplastic; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D006801:Humans; D009369:Neoplasms / Q000145:classification / Q000235:genetics* / Q000473:pathology; D020641:Polymorphism, Single Nucleotide; D011379:Prognosis; D062085:RNA, Long Noncoding / Q000235:genetics*; D012307:Risk Factors
chemical_list: C561566:HOTAIR long untranslated RNA, human; D062085:RNA, Long Noncoding