Association of LINC00673 rs11655237 polymorphism with cancer susceptibility: A meta-analysis based on 23,478 subjects

Na Li; Zhigang Cui; Dayang Huang; Min Gao; Sixuan Li; Mingyang Song; Ying Wang; Lianwei Tong; Zhihua Yin

doi:10.1016/j.ygeno.2020.07.015

Association of LINC00673 rs11655237 polymorphism with cancer susceptibility: A meta-analysis based on 23,478 subjects

Genomics. 2020 Nov;112(6):4148-4154. doi: 10.1016/j.ygeno.2020.07.015. Epub 2020 Jul 8.

Authors

Na Li¹, Zhigang Cui², Dayang Huang³, Min Gao⁴, Sixuan Li⁵, Mingyang Song⁶, Ying Wang⁷, Lianwei Tong⁸, Zhihua Yin⁹

Affiliations

¹ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: nli94@cmu.edu.cn.
² School of Nursing, China Medical University, Shenyang 110122, PR China. Electronic address: zgcui@cmu.edu.cn.
³ Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, 110000, PR China.
⁴ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: mgao@cmu.edu.cn.
⁵ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: sxli@cmu.edu.cn.
⁶ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: mysong@cmu.edu.cn.
⁷ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: ywang95@cmu.edu.cn.
⁸ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: lwtong@cmu.edu.cn.
⁹ Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, PR China. Electronic address: zhyin@cmu.edu.cn.

PMID: 32650095
DOI: 10.1016/j.ygeno.2020.07.015

Abstract

Background: Some studies on the relationship between LINC00673 polymorphism and cancer susceptibility have been inconsistent. To perform a more comprehensively quantitative assessment of LINC00673 rs11655237 and risk of overall cancer, we operated this meta-analysis for the first time.

Methods: A comprehensive search was conducted to obtain relevant literature up to November 20, 2019. Pooled odds ratios and 95% confidence intervals were utilized to assess rs11655237 and cancer susceptibility under five different genetic models.

Results: Eventually, 11 case-control studies from 9 articles were included. We found that LINC00673 rs11655237 polymorphism increased the susceptibility to overall cancer under all genetic models in the overall population. By dividing ethnicity and cancer type into subgroups, we also obtained similar positive results in subgroups of Chinese population, pancreatic cancer, cervical cancer, neuroblastoma, hepatoblastoma and gastric cancer.

Conclusion: Overall, this meta-analysis has demonstrated for the first time that LINC00673 rs11655237 could increase susceptibility to cancer.

Keywords: Cancer; LINC00673; Meta-analysis; Polymorphism; Susceptibility; rs11655237.

Publication types

Meta-Analysis
Research Support, Non-U.S. Gov't

MeSH terms

Case-Control Studies
Genetic Predisposition to Disease*
Humans
Neoplasms / genetics*
Polymorphism, Genetic*
RNA, Long Noncoding / genetics*

Substances

RNA, Long Noncoding
long non-coding RNA SLNCR1, human