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Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies

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  • Tian Tian
  • Chunjian Li
  • Jing Xiao
  • Yi Shen
  • Yihua Lu
  • Liying Jiang
  • Xun Zhuang
  • Minjie Chu

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.

Suggested Citation

  • Tian Tian & Chunjian Li & Jing Xiao & Yi Shen & Yihua Lu & Liying Jiang & Xun Zhuang & Minjie Chu, 2016. "Quantitative Assessment of the Polymorphisms in the HOTAIR lncRNA and Cancer Risk: A Meta-Analysis of 8 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-11, March.
    • Handle: RePEc:plo:pone00:0152296
    DOI: 10.1371/journal.pone.0152296
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    1. Sooryanarayana Varambally & Saravana M. Dhanasekaran & Ming Zhou & Terrence R. Barrette & Chandan Kumar-Sinha & Martin G. Sanda & Debashis Ghosh & Kenneth J. Pienta & Richard G. A. B. Sewalt & Arie P., 2002. "The polycomb group protein EZH2 is involved in progression of prostate cancer," Nature, Nature, vol. 419(6907), pages 624-629, October.
    2. Qiwen Deng & Huiling Sun & Bangshun He & Yuqin Pan & Tianyi Gao & Jie Chen & Houqun Ying & Xian Liu & Feng Wang & Yong Xu & Shukui Wang, 2014. "Prognostic Value of Long Non-Coding RNA HOTAIR in Various Cancers," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-9, October.
    3. Mitchell Guttman & John L. Rinn, 2012. "Modular regulatory principles of large non-coding RNAs," Nature, Nature, vol. 482(7385), pages 339-346, February.
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