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ORIGINAL ARTICLE
Year : 2021  |  Volume : 17  |  Issue : 5  |  Page : 1209-1218

Association of miR-155 and MIR155HG polymorphisms with cancer risk: A meta-analysis


1 Guanghua School of Stomatology, Hospital of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou, China
2 Department of Pediatrics, The University of Hong Kong-Shenzhen Hospital, Shenzhen; Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China

Correspondence Address:
Binghui Zeng
Guanghua School of Stomatology, Hospital of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou, 510055
China
Dongsheng Yu
Guanghua School of Stomatology, Hospital of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, 510055
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jcrt.jcrt_913_21

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Background: Analysis of emerging data shows that miRNAs, including miR-155, play important roles in tumorigenesis. Several studies have indicated that miR-155 and MIR155HG polymorphisms may be related to cancer risk, but the association was controversial. Therefore, we conducted this first-reported comprehensive meta-analysis of the association of miR-155 and MIR155HG polymorphisms with cancer risk. Materials and Methods: We searched several databases, including PubMed, Embase, and Web of Science, to identify the eligible studies reporting the association of miR-155 and MIR155HG polymorphisms with cancer risk. We calculated the pooled odds ratios (ORs) and 95% confidence intervals (CIs) to analyze the association. Stata software (version 16.0) was used to analyze the data we collected. Results: After being carefully and strictly screened, eight articles reporting on six common single-nucleotide polymorphisms consisting of 6184 cases and 6896 controls were included in this meta-analysis. The six polymorphisms included were rs767649 (T>A), rs928883 (A>G), rs2829803 (G>A), rs1893650 (T>C), rs4143370 (G>C), and rs12482371 (T>C). Our results showed that, in the overall analysis, heterozygotes increased cancer risk, with a marginal P value, compared with wild-type (OR = 1.06, 95% CI = 1.00–1.12, P = 0.062). Subsequent analyses showed that only rs767649 was associated with an increased risk of non-small-cell lung cancer (NSCLC) in an allele model (T vs. A: OR = 1.15, 95% CI = 1.04–1.26, P = 0.007), a homozygote model (TT vs. AA: OR = 1.31, 95% CI = 1.06–1.60, P = 0.011), and a recessive model (TT vs. AT + AA: OR = 1.30, 95% CI = 1.08–1.55, P = 0.005). Conclusion: The present meta-analysis indicates that the rs767649 polymorphism might be a potential factor for NSCLC risk; however, more studies should be conducted to confirm these findings.


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