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Association between the TP53 polymorphisms and lung cancer risk: a meta-analysis
Authors:Xiang-Hua Ye  Zhi-Bin Bu  Jie Feng  Ling Peng  Xin-Biao Liao  Xin-Li Zhu  Xiao-li Sun  Hao-Gang Yu  Dan-Fang Yan  Sen-Xiang Yan
Institution:1. Department of Radiotherapy, First Affiliated Hospital, Zhejiang University School of Medicine, No. 79, Qingchun Road, Hangzhou, 310003, Zhejiang, China
2. Department of Hematology, Zhejiang Hospital, 12, Linyin Road, Hangzhou, 310003, Zhejiang, China
3. Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China
4. Department of Thoracic Oncology, First Affiliated Hospital, Zhejiang University School of Medicine, No. 79, Qing Chun Road, Hangzhou, 310003, Zhejiang, China
Abstract:The previous published data on the association between TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk remained controversial. This meta-analysis of literatures was performed to derive a more precise estimation of the relationship. 38 publications with 51 studies were selected for this meta-analysis, including 17,337 cases and 16,127 controls for TP53 codon 72 (from 43 studies), 2,201 cases and 2,399 controls for TP53 intron 6 (from four studies), and 4,322 cases and 4,558 controls for TP53 intron 3 16 bp (from four studies). When all the eligible studies were pooled into the meta-analysis of codon 72 polymorphism, there was significant association between lung cancer risk and codon 72 polymorphism in any genetic model (dominant model: OR = 1.13, 95 % CI 1.05–1.21; recessive model: OR = 1.14, 95 % CI 1.02–1.27; additive model: OR = 1.19, 95 % CI 1.05–1.33). In the subgroup analysis by ethnicity, histological type, source of control, and smoking status, significantly increased risks were observed in subgroups such as Asians, Caucasians, lung squamous cell carcinoma patients for Asians, population-based study, hospital-based study, non-smokers, and smokers. When all the eligible studies were pooled into the meta-analysis of intron 6 polymorphism, there was significant association between lung cancer risk and intron 6 polymorphism in dominant model (OR = 1.27, 95 % CI 1.11–1.44). When all the eligible studies were pooled into the meta-analysis of intron 3 16 bp polymorphism, there was significant association between lung cancer risk and intron 3 16 bp polymorphism in dominant model (OR = 1.12, 95 % CI 1.02–1.23) and additive model (OR = 1.41, 95 % CI 1.04–1.90). Additionally, when one study was deleted in the sensitive analysis, the results of TP53 intron 3 16 bp duplication polymorphism were changed in the dominant model (OR = 1.11, 95 % CI 0.87–1.42) and additive model (OR = 1.01, 95 % CI 0.65–1.56). In summary, this meta-analysis indicates that codon 72 and intron 6 polymorphisms show an increased lung cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk.
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