Literature DB >> 20630574

Meta-analysis of association between TP53 Arg72Pro polymorphism and bladder cancer risk.

De-Ke Jiang1, Wei-Hua Ren, Lei Yao, Wen-Zhang Wang, Bo Peng, Long Yu.   

Abstract

OBJECTIVES: To perform a meta-analysis to explore a more robust estimate of the effect of the TP53 Arg72Pro polymorphism on bladder cancer risk. Studies investigating the association between TP53 Arg72Pro polymorphism and bladder cancer risk have reported conflicting results.
METHODS: All eligible studies were searched in PubMed. The quality of the studies was evaluated according to a predefined scale. Crude odds ratios, with the 95% confidence intervals, were assessed for the association using fixed- and random-effects models.
RESULTS: We identified 10 case-control studies involving 3549 subjects for the present meta-analysis. Overall, no evidence of an association was observed between the TP53 genotypes and bladder cancer susceptibility when all the studies were pooled into the meta-analysis. However, a significantly decreased risk of bladder cancer was associated with TP53 genotypes for Arg/Arg versus Pro/Pro (odds ratio 0.74, 95% confidence interval 0.55-0.99) and Arg/Arg plus Arg/Pro versus Pro/Pro (odds ratio 0.77, 95% confidence interval 0.59-1.00) in Asians. In contrast, no effect of this polymorphism on bladder cancer in whites, Africans, or other population was observed when only high-quality scored studies were considered.
CONCLUSIONS: The results of the present meta-analysis suggest that the TP53 Arg72 allele is a protective factor and that the Pro/Pro genotype might increase the susceptibility to bladder cancer in Asians. The conflicting findings among studies might have resulted from variations in the allele frequencies among the different races, as well as the methodologic quality of the studies.
Copyright © 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20630574     DOI: 10.1016/j.urology.2010.04.044

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  18 in total

1.  Meta-analysis shows significant association of the TP53 Arg72Pro with ovarian cancer risk.

Authors:  Su-Qin Shen; De-Ke Jiang; Guo-Yuan Liu; Fang Chen; Long Yu
Journal:  Mol Biol Rep       Date:  2011-09-28       Impact factor: 2.316

2.  Evaluation of COMT Gene rs4680 Polymorphism as a Risk Factor for Endometrial Cancer.

Authors:  Pradeep Kumar; Garima Singh; Vandana Rai
Journal:  Indian J Clin Biochem       Date:  2018-12-04

3.  Quantitative assessment of the association between TP53 Arg72Pro polymorphism and bladder cancer risk.

Authors:  Zhi-Hong Liu; Er-Dun Bao
Journal:  Mol Biol Rep       Date:  2012-11-27       Impact factor: 2.316

4.  Association between ALDH2 Glu504Lys polymorphism and colorectal cancer risk: a meta-analysis.

Authors:  Jiang Xinhua; Zhao Yanfei
Journal:  Afr Health Sci       Date:  2017-03       Impact factor: 0.927

5.  TP53 gene polymorphism: importance to cancer, ethnicity and birth weight in a Brazilian cohort.

Authors:  Helena S Thurow; Ricardo Haack; Fernando P Hartwig; Isabel O De Oliveira; Odir A Dellagostin; Denise P Gigante; Bernardo L Horta; Tiago Collares; Fabiana K Seixas
Journal:  J Biosci       Date:  2011-12       Impact factor: 1.826

6.  APE1 Asp148Glu gene polymorphism and bladder cancer risk: a meta-analysis.

Authors:  Chuan Liu; Qinghua Yin; Lian Li; Ying-Zhi Zhuang; Xuyu Zu; Yajie Wang
Journal:  Mol Biol Rep       Date:  2012-11-10       Impact factor: 2.316

7.  Association between vascular endothelial growth factor gene polymorphisms and bladder cancer risk.

Authors:  Yanfeng Yang; Xuepei Zhang; Dongkui Song; Jinxing Wei
Journal:  Mol Clin Oncol       Date:  2014-05-19

8.  An association between XPC Lys939Gln polymorphism and the risk of bladder cancer: a meta-analysis.

Authors:  Yan Zhang; Xinhua Wang; Wei Zhang; Shengkai Gong
Journal:  Tumour Biol       Date:  2012-12-27

9.  Association between p53 Pro72Arg polymorphism and prostate cancer risk: a meta-analysis.

Authors:  Lifeng Zhang; Ning Shao; Qianqian Yu; Lixin Hua; Yuanyuan Mi; Ninghan Feng
Journal:  J Biomed Res       Date:  2011-01

10.  Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection.

Authors:  Zoi Lanara; Efstathia Giannopoulou; Marta Fullen; Evangelos Kostantinopoulos; Jean-Christophe Nebel; Haralabos P Kalofonos; George P Patrinos; Cristiana Pavlidis
Journal:  Hum Genomics       Date:  2013-06-05       Impact factor: 4.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.