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JOURNAL ARTICLE
META-ANALYSIS
REVIEW
High-mobility group box 1 protein (HMGB1) gene polymorphisms and cancer susceptibility: A comprehensive meta-analysis.
AIM: The role of HMGB1 polymorphisms in cancer predisposition remains unclear. This meta-analysis was performed assess four HMGB1 polymorphisms (rs1045411, rs2249825, rs1360485 and rs1412125) in cancer risk.
METHODS: We searched published studies till January 2018 from EMBASE, PubMed, Google scholar, and Cochrane library. Thereafter, the statistical software "R" was used to calculate Pooled Odds Ratios (OR), and 95% confidence intervals (CI) for assessment of association between different HMGB1 polymorphisms and cancer risk.
RESULT: In this meta-analysis we used eight studies totaling 7017 subjects. HMGB1 rs1045411 polymorphism in recessive model (OR 1.4159, 95% CI 0.9197-2.1798, P = 0.1142) and homozygous model (OR 1.4157, 95% CI 0.8711-2.3006, P = 0.1606) emerged as a risk factor for cancer development. Dominant model in rs2249825 polymorphism (OR: 0.8954) and rs1412125 polymorphism (OR: 0.9029) emerged as protective factors. Statistical significance was not achieved for any genetic model. Begg's test and Egger's test for all analysis suggested no publication bias.
CONCLUSION: This is the first meta-analysis exploring the association of four HMGB1 polymorphisms with cancer. Although polymorphism rs1045411 emerged as a risk candidate, additional studies are suggested to confirm these findings.
METHODS: We searched published studies till January 2018 from EMBASE, PubMed, Google scholar, and Cochrane library. Thereafter, the statistical software "R" was used to calculate Pooled Odds Ratios (OR), and 95% confidence intervals (CI) for assessment of association between different HMGB1 polymorphisms and cancer risk.
RESULT: In this meta-analysis we used eight studies totaling 7017 subjects. HMGB1 rs1045411 polymorphism in recessive model (OR 1.4159, 95% CI 0.9197-2.1798, P = 0.1142) and homozygous model (OR 1.4157, 95% CI 0.8711-2.3006, P = 0.1606) emerged as a risk factor for cancer development. Dominant model in rs2249825 polymorphism (OR: 0.8954) and rs1412125 polymorphism (OR: 0.9029) emerged as protective factors. Statistical significance was not achieved for any genetic model. Begg's test and Egger's test for all analysis suggested no publication bias.
CONCLUSION: This is the first meta-analysis exploring the association of four HMGB1 polymorphisms with cancer. Although polymorphism rs1045411 emerged as a risk candidate, additional studies are suggested to confirm these findings.
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