Literature DB >> 16434604

Combined effects of the p53 and p73 polymorphisms on lung cancer risk.

Matthew B Schabath1, Xifeng Wu, Qingyi Wei, Guojun Li, Jian Gu, Margaret R Spitz.   

Abstract

Lung cancer is a multigenic disease where one variant single nucleotide polymorphism may have only a modest independent effect on the disease phenotype, yet in aggregate, multiple biologically relevant single nucleotide polymorphisms may provide a more accurate representation of risk. Polymorphisms in members of the p53 family, such as p53 and p73, that have a functional relevance would be predicted to contribute to the disease phenotype. In this analysis, we used genotype data from 863 lung cancer cases and 852 healthy controls to test for multigenetic effects of polymorphisms at p53 exon 4, introns 3 and 6, and at p73 exon 2. All individuals in this analysis were self-reported non-Hispanic Caucasians. When the p73 and p53 variant alleles were combined and analyzed as a continuous variable, there was a 13% increase [odds ratios (OR), 1.13; 95% confidence intervals (CI), 1.05-1.21] in lung cancer risk for each additional variant allele. Furthermore, when the number of variant alleles was categorized into three groups (zero, one to three, and four or more variants), there was evidence of a gene-dosage effect with increased risks for individuals with one to three variants (OR, 1.30; 95% CI, 1.05-1.61) and four or more variants (OR, 1.78; 95% CI, 1.23-2.56). When the data were stratified by smoking status, an increased risk for lung cancer was evident only in current (OR, 2.32; 95% CI, 1.25-4.33) and former smokers (OR, 1.73; 95% CI, 1.02-2.94) with four or more variants. Younger individuals with four or more variants were also at a significantly increased risk for lung cancer (OR, 3.15; 95% CI, 1.62-6.12). This study provides support for the multigenetic effects of variant alleles from p53 exon 4, and introns 3 and 6, and p73, and their interplay with smoking, resulting in a significantly increased risk for lung cancer in this Caucasian population. (Cancer Epidemiol Biomarkers Prev 2006;15(1):158-61).

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Year:  2006        PMID: 16434604     DOI: 10.1158/1055-9965.EPI-05-0622

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  16 in total

1.  Correlating observed odds ratios from lung cancer case-control studies to SNP functional scores predicted by bioinformatic tools.

Authors:  Yong Zhu; Aaron Hoffman; Xifeng Wu; Heping Zhang; Yawei Zhang; Derek Leaderer; Tongzhang Zheng
Journal:  Mutat Res       Date:  2007-11-26       Impact factor: 2.433

2.  Combined effects of the p53 codon 72 and p73 G4C14-to-A4T14 polymorphisms on the risk of HPV16-associated oral cancer in never-smokers.

Authors:  Xingming Chen; Erich M Sturgis; Adel K El-Naggar; Qingyi Wei; Guojun Li
Journal:  Carcinogenesis       Date:  2008-08-13       Impact factor: 4.944

3.  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
Journal:  Mol Biol Rep       Date:  2013-11-23       Impact factor: 2.316

Review 4.  Impact of p73 gene polymorphism on cancer susceptibility: a meta analysis.

Authors:  Yixuan Liu; Weiwei Dong; Quan Mou; Yuxin Leng; Lu Zhang; Liping Duan
Journal:  Int J Clin Exp Pathol       Date:  2014-09-15

5.  p53 Pro72Arg polymorphism and prostate cancer in men of African descent.

Authors:  L Ricks-Santi; T Mason; V Apprey; C Ahaghotu; A McLauchlin; D Josey; G Bonney; G M Dunston
Journal:  Prostate       Date:  2010-12-01       Impact factor: 4.104

6.  Association of p73 G4C14-to-A4T14 polymorphism with lung cancer risk.

Authors:  Hua Liu; Yuli Liang; Hua Liao; Lanying Li; Hongyun Wang
Journal:  Tumour Biol       Date:  2014-06-19

7.  Combined analysis of the association between p73 G4C14-to-A4T14 polymorphisms and cancer risk.

Authors:  Lan Wang; Rui Gao; Long Yu
Journal:  Mol Biol Rep       Date:  2011-05-27       Impact factor: 2.316

8.  Association between the p73 gene G4C14-to-A4T14 single nucleotide polymorphism and risk of cervical cancer by high resolution melting and PCR with confronting two-pair primers in a Chinese population.

Authors:  Haiyan Guo; Shaodi Yang; Lijian Xu; Ding Li; Jianxin Tang; Shuangshaung Wang; Benjie Wei; Zhengchun Liu
Journal:  Oncol Lett       Date:  2016-06-01       Impact factor: 2.967

9.  PTEN gene polymorphisms and susceptibility to oral squamous cell carcinoma in a Chinese Han population.

Authors:  Xu-Dong Yang; Su-Feng Zhao; Qian Zhang; Wei Li; Yu-Xin Wang; Xiao-Wei Hong; Qin-Gang Hu
Journal:  Tumour Biol       Date:  2015-08-02

10.  Association between p53 codon 72 genetic polymorphism and tobacco use and lung cancer risk.

Authors:  Dante D Cáceres; Luis A Quiñones; Jane C Schroeder; Leonel D Gil; Carlos E Irarrázabal
Journal:  Lung       Date:  2009-01-07       Impact factor: 2.584

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