A meta-analytic review of the association between two common SNPs in miRNAs and lung cancer susceptibility

Sha Xiao, Songzan Sun, Wenfang Long, Shicheng Kuang, Yunru Liu, Hairong Huang, Jing Zhou, Yongjiang Zhou, Xiaobo Lu

Research output: Contribution to journalReview article

2 Citations (Scopus)

Abstract

Background: MicroRNAs (miRNAs) are involved in many biological processes, including tumor suppression. Multiple studies have shown an association between the miRNA-196a2 rs11614913 and miRNA-146a rs2910164 polymorphisms and cancer risk. However, the implications of the reported data are debatable and inconclusive. Materials and methods: Relevant articles were retrieved from the PubMed, EMBASE, China National Knowledge Infrastructure, and WanFang databases from January 1, 2007, to April 30, 2017. Studies were assessed based on designated inclusion and exclusion criteria, and data were manually extracted from relevant studies by two investigators. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to explore the association between two single-nucleotide polymorphisms (SNPs) in miRNAs and lung cancer susceptibility. Results: Nine eligible articles were included, consisting of 3,101 cancer cases and 3,234 controls for miRNA-196a2 rs11614913, and 3,483 cases and 3,578 controls for miRNA-146a rs2910164. For studies evaluating miRNA-196a2 rs11614913, significant associations with lung cancer risk were discovered. Overall, the pooled analysis showed that miRNA-196a2 rs11614913 was associated with a decreased cancer risk (CC vs TT: OR = 1.25, 95% CI: 1.09-1.44; CT vs TT: OR = 1.26, 95% CI: 1.03-1.53). For miRNA-146a rs2910164, only the CC genotype was found to be associated with high lung cancer risk (OR = 1.30, 95% CI: 1.13-1.49). Subgroup analyses based on ethnicity, source of control group, and country indicated that there were strong associations between miRNA-146a rs2910164 and cancer risk. Conclusion: The results indicated that lung cancer risk was significantly associated with miRNA-196a2 rs11614913 and miRNA-146a rs2910164. These two common SNPs in miRNAs may be potential biomarkers of lung cancer.

Original languageEnglish
Pages (from-to)2419-2427
Number of pages9
JournalOncoTargets and Therapy
Volume11
DOIs
Publication statusPublished - Apr 30 2018
Externally publishedYes

Fingerprint

MicroRNAs
Single Nucleotide Polymorphism
Lung Neoplasms
Odds Ratio
Confidence Intervals
Neoplasms
Biological Phenomena
PubMed
China
Biomarkers
Genotype
Research Personnel
Databases

Keywords

  • Lung cancer
  • Meta-analysis
  • MicroRNA
  • Single nucleotide polymorphisms
  • Susceptibility

ASJC Scopus subject areas

  • Oncology
  • Pharmacology (medical)

Cite this

A meta-analytic review of the association between two common SNPs in miRNAs and lung cancer susceptibility. / Xiao, Sha; Sun, Songzan; Long, Wenfang; Kuang, Shicheng; Liu, Yunru; Huang, Hairong; Zhou, Jing; Zhou, Yongjiang; Lu, Xiaobo.

In: OncoTargets and Therapy, Vol. 11, 30.04.2018, p. 2419-2427.

Research output: Contribution to journalReview article

Xiao, Sha ; Sun, Songzan ; Long, Wenfang ; Kuang, Shicheng ; Liu, Yunru ; Huang, Hairong ; Zhou, Jing ; Zhou, Yongjiang ; Lu, Xiaobo. / A meta-analytic review of the association between two common SNPs in miRNAs and lung cancer susceptibility. In: OncoTargets and Therapy. 2018 ; Vol. 11. pp. 2419-2427.
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abstract = "Background: MicroRNAs (miRNAs) are involved in many biological processes, including tumor suppression. Multiple studies have shown an association between the miRNA-196a2 rs11614913 and miRNA-146a rs2910164 polymorphisms and cancer risk. However, the implications of the reported data are debatable and inconclusive. Materials and methods: Relevant articles were retrieved from the PubMed, EMBASE, China National Knowledge Infrastructure, and WanFang databases from January 1, 2007, to April 30, 2017. Studies were assessed based on designated inclusion and exclusion criteria, and data were manually extracted from relevant studies by two investigators. Pooled odds ratios (ORs) and 95{\%} confidence intervals (CIs) were calculated to explore the association between two single-nucleotide polymorphisms (SNPs) in miRNAs and lung cancer susceptibility. Results: Nine eligible articles were included, consisting of 3,101 cancer cases and 3,234 controls for miRNA-196a2 rs11614913, and 3,483 cases and 3,578 controls for miRNA-146a rs2910164. For studies evaluating miRNA-196a2 rs11614913, significant associations with lung cancer risk were discovered. Overall, the pooled analysis showed that miRNA-196a2 rs11614913 was associated with a decreased cancer risk (CC vs TT: OR = 1.25, 95{\%} CI: 1.09-1.44; CT vs TT: OR = 1.26, 95{\%} CI: 1.03-1.53). For miRNA-146a rs2910164, only the CC genotype was found to be associated with high lung cancer risk (OR = 1.30, 95{\%} CI: 1.13-1.49). Subgroup analyses based on ethnicity, source of control group, and country indicated that there were strong associations between miRNA-146a rs2910164 and cancer risk. Conclusion: The results indicated that lung cancer risk was significantly associated with miRNA-196a2 rs11614913 and miRNA-146a rs2910164. These two common SNPs in miRNAs may be potential biomarkers of lung cancer.",
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T1 - A meta-analytic review of the association between two common SNPs in miRNAs and lung cancer susceptibility

AU - Xiao, Sha

AU - Sun, Songzan

AU - Long, Wenfang

AU - Kuang, Shicheng

AU - Liu, Yunru

AU - Huang, Hairong

AU - Zhou, Jing

AU - Zhou, Yongjiang

AU - Lu, Xiaobo

PY - 2018/4/30

Y1 - 2018/4/30

N2 - Background: MicroRNAs (miRNAs) are involved in many biological processes, including tumor suppression. Multiple studies have shown an association between the miRNA-196a2 rs11614913 and miRNA-146a rs2910164 polymorphisms and cancer risk. However, the implications of the reported data are debatable and inconclusive. Materials and methods: Relevant articles were retrieved from the PubMed, EMBASE, China National Knowledge Infrastructure, and WanFang databases from January 1, 2007, to April 30, 2017. Studies were assessed based on designated inclusion and exclusion criteria, and data were manually extracted from relevant studies by two investigators. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to explore the association between two single-nucleotide polymorphisms (SNPs) in miRNAs and lung cancer susceptibility. Results: Nine eligible articles were included, consisting of 3,101 cancer cases and 3,234 controls for miRNA-196a2 rs11614913, and 3,483 cases and 3,578 controls for miRNA-146a rs2910164. For studies evaluating miRNA-196a2 rs11614913, significant associations with lung cancer risk were discovered. Overall, the pooled analysis showed that miRNA-196a2 rs11614913 was associated with a decreased cancer risk (CC vs TT: OR = 1.25, 95% CI: 1.09-1.44; CT vs TT: OR = 1.26, 95% CI: 1.03-1.53). For miRNA-146a rs2910164, only the CC genotype was found to be associated with high lung cancer risk (OR = 1.30, 95% CI: 1.13-1.49). Subgroup analyses based on ethnicity, source of control group, and country indicated that there were strong associations between miRNA-146a rs2910164 and cancer risk. Conclusion: The results indicated that lung cancer risk was significantly associated with miRNA-196a2 rs11614913 and miRNA-146a rs2910164. These two common SNPs in miRNAs may be potential biomarkers of lung cancer.

AB - Background: MicroRNAs (miRNAs) are involved in many biological processes, including tumor suppression. Multiple studies have shown an association between the miRNA-196a2 rs11614913 and miRNA-146a rs2910164 polymorphisms and cancer risk. However, the implications of the reported data are debatable and inconclusive. Materials and methods: Relevant articles were retrieved from the PubMed, EMBASE, China National Knowledge Infrastructure, and WanFang databases from January 1, 2007, to April 30, 2017. Studies were assessed based on designated inclusion and exclusion criteria, and data were manually extracted from relevant studies by two investigators. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to explore the association between two single-nucleotide polymorphisms (SNPs) in miRNAs and lung cancer susceptibility. Results: Nine eligible articles were included, consisting of 3,101 cancer cases and 3,234 controls for miRNA-196a2 rs11614913, and 3,483 cases and 3,578 controls for miRNA-146a rs2910164. For studies evaluating miRNA-196a2 rs11614913, significant associations with lung cancer risk were discovered. Overall, the pooled analysis showed that miRNA-196a2 rs11614913 was associated with a decreased cancer risk (CC vs TT: OR = 1.25, 95% CI: 1.09-1.44; CT vs TT: OR = 1.26, 95% CI: 1.03-1.53). For miRNA-146a rs2910164, only the CC genotype was found to be associated with high lung cancer risk (OR = 1.30, 95% CI: 1.13-1.49). Subgroup analyses based on ethnicity, source of control group, and country indicated that there were strong associations between miRNA-146a rs2910164 and cancer risk. Conclusion: The results indicated that lung cancer risk was significantly associated with miRNA-196a2 rs11614913 and miRNA-146a rs2910164. These two common SNPs in miRNAs may be potential biomarkers of lung cancer.

KW - Lung cancer

KW - Meta-analysis

KW - MicroRNA

KW - Single nucleotide polymorphisms

KW - Susceptibility

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