Meta-analysis for the association between TP53 Arg72Pro polymorphism and human thyroid cancer risk

Abstract

Objective To explore the association of single nucleotide polymorphism (SNP) in TP53 Arg72Pro (rs1042522) locus with thyroid cancer risk in human. Methods Articles involved in the association between SNP in TP53 Arg72Pro (rs1042522) locus and thyroid cancer risk were retrieved from PubMed, Embase, and Web of Science databases, and studies which met the inclusion criteria were included. The meta-analysis, sensitivity analysis, subgroup analysis, and the assessment of publication-bias were performed by Stata 14.0 software. The odds ratio (OR) and their corresponding 95% Confidence Intervals (CI) were used to determine the strength of association between SNP in TP53 Arg72Pro locus and thyroid cancer risk. Results Thirteen case-control studies were eligible for this meta-analysis, including 2 112 thyroid cancer cases and 4 000 control subjects. Overall, mutated homozygous genotype (Pro/Pro) in TP53 Arg72Pro(rs1042522) locus was associated with significantly increased thyroid cancer risk(Recessive model, OR=1.78, 95% CI 1.24-2.56, P=0.002), showing a significantly higher Pro mutation frequency among thyroid cancer patients (Allelic model, OR=1.35, 95% CI 1.12-1.63, P=0.002). In the stratified analysis, mutated homozygous genotype (Pro/Pro) in TP53 Arg72Pro (rs1042522) locus was only asscociated with significantly increased thyroid cancer risk among Asians, but not among Europeans and South Americans; mutated homozygous genotype (Pro/Pro) in TP53 Arg72Pro (rs1042522) locus was asscociated with significantly increased risk of papillary thyroid carcinomas among total population, but not medullary thyroid carcinomas. Conclusion There is a significant association between Arg72Pro polymorphism in TP53 gene and thyroid cancer risk, and the mutated homozygous genotype (Pro/Pro) in this locus of TP53 maybe a risk factor for thyroid carcinoma among Asians. Key words: Thyroid cancer; Arg72Pro; TP53; Gene polymorphism; Meta-analysis