Literature DB >> 19625214

TP53 codon 72 polymorphism and cervical cancer: a pooled analysis of individual data from 49 studies.

Stefanie J Klug1, Meike Ressing, Jochem Koenig, Martin C Abba, Theodoros Agorastos, Sylvia M F Brenna, Marco Ciotti, B R Das, Annarosa Del Mistro, Aleksandra Dybikowska, Anna R Giuliano, Zivile Gudleviciene, Ulf Gyllensten, Andrea L F Haws, Aslaug Helland, C Simon Herrington, Alan Hildesheim, Olivier Humbey, Sun H Jee, Jae Weon Kim, Margaret M Madeleine, Joseph Menczer, Hextan Y S Ngan, Akira Nishikawa, Yoshimitsu Niwa, Rosemary Pegoraro, M R Pillai, Gulielmina Ranzani, Giovanni Rezza, Adam N Rosenthal, Susanta Roychoudhury, Dhananjaya Saranath, Virginia M Schmitt, Sharmila Sengupta, Wannapa Settheetham-Ishida, Hiroshi Shirasawa, Peter J F Snijders, Mark H Stoler, Angel E Suárez-Rincón, Krisztina Szarka, Ruth Tachezy, Masatsugu Ueda, Ate G J van der Zee, Magnus von Knebel Doeberitz, Ming-Tsang Wu, Tsuyoshi Yamashita, Ingeborg Zehbe, Maria Blettner.   

Abstract

BACKGROUND: Cervical cancer is caused primarily by human papillomaviruses (HPV). The polymorphism rs1042522 at codon 72 of the TP53 tumour-suppressor gene has been investigated as a genetic cofactor. More than 80 studies were done between 1998 and 2006, after it was initially reported that women who are homozygous for the arginine allele had a risk for cervical cancer seven times higher than women who were heterozygous for the allele. However, results have been inconsistent. Here we analyse pooled data from 49 studies to determine whether there is an association between TP53 codon 72 polymorphism and cervical cancer.
METHODS: Individual data on 7946 cases and 7888 controls from 49 different studies worldwide were reanalysed. Odds ratios (OR) were estimated using logistic regression, stratifying by study and ethnic origin. Subgroup analyses were done for infection with HPV, ethnic origin, Hardy-Weinberg equilibrium, study quality, and the material used to determine TP53 genotype.
FINDINGS: The pooled estimates (OR) for invasive cervical cancer were 1.22 (95% CI 1.08-1.39) for arginine homozygotes compared with heterozygotes, and 1.13 (0.94-1.35) for arginine homozygotes versus proline homozygotes. Subgroup analyses showed significant excess risks only in studies where controls were not in Hardy-Weinberg equilibrium (1.71 [1.21-2.42] for arginine homozygotes compared with heterozygotes), in non-epidemiological studies (1.35 [1.15-1.58] for arginine homozygotes compared with heterozygotes), and in studies where TP53 genotype was determined from tumour tissue (1.39 [1.13-1.73] for arginine homozygotes compared with heterozygotes). Null results were noted in studies with sound epidemiological design and conduct (1.06 [0.87-1.29] for arginine homozygotes compared with heterozygotes), and studies in which TP53 genotype was determined from white blood cells (1.06 [0.87-1.29] for arginine homozygotes compared with heterozygotes).
INTERPRETATION: Subgroup analyses indicated that excess risks were most likely not due to clinical or biological factors, but to errors in study methods. No association was found between cervical cancer and TP53 codon 72 polymorphism when the analysis was restricted to methodologically sound studies. FUNDING: German Research Foundation (DFG).

Entities:  

Mesh:

Year:  2009        PMID: 19625214     DOI: 10.1016/S1470-2045(09)70187-1

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  66 in total

1.  TP53 Arg72Pro polymorphism and endometrial cancer risk: a meta-analysis.

Authors:  De-Ke Jiang; Lei Yao; Wei-Hua Ren; Wen-Zhang Wang; Bo Peng; Long Yu
Journal:  Med Oncol       Date:  2010-06-15       Impact factor: 3.064

2.  Association between the STK15 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Jun Qin; Xiao-Feng He; Wu Wei; Zhi-Zhong Liu; Jian-Jun Xie; Wei Wang; Ya-Ping Du; Yu Chen; Hui-Qiang Si
Journal:  Mol Genet Genomics       Date:  2014-08-26       Impact factor: 3.291

3.  Association between the MTHFR A1298C polymorphism and risk of cancer: evidence from 265 case-control studies.

Authors:  Xin-Li Zhu; Zhi-Zhong Liu; Sen-Xiang Yan; Wei Wang; Rui-Xia Chang; Chun-Yan Zhang; Yan Guo
Journal:  Mol Genet Genomics       Date:  2015-07-09       Impact factor: 3.291

4.  Association between the XRCC1 Arg194Trp polymorphism and risk of cancer: evidence from 201 case-control studies.

Authors:  Yan-Zhong Feng; Yi-Ling Liu; Xiao-Feng He; Wu Wei; Xu-Liang Shen; Dao-Lin Xie
Journal:  Tumour Biol       Date:  2014-07-27

5.  Association between the CYP1A2 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Wen-Xia Sun; Ying-Hua Chen; Zhi-Zhong Liu; Jian-Jun Xie; Wei Wang; Ya-Ping Du; Yu Chen; Xu-Liang Shen; Xiao-Feng He; Li-Xia Wu; Wu Wei; Lin Zhang
Journal:  Mol Genet Genomics       Date:  2014-12-04       Impact factor: 3.291

6.  Association between the CYP1B1 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Jie-Ying Liu; Yu Yang; Zhi-Zhong Liu; Jian-Jun Xie; Ya-Ping Du; Wei Wang
Journal:  Mol Genet Genomics       Date:  2014-12-05       Impact factor: 3.291

7.  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

8.  TP53 Arg72Pro polymorphism is associated with esophageal cancer risk: a meta-analysis.

Authors:  De-Ke Jiang; Lei Yao; Wen-Zhang Wang; Bo Peng; Wei-Hua Ren; Xian-Mei Yang; Long Yu
Journal:  World J Gastroenterol       Date:  2011-03-07       Impact factor: 5.742

9.  Combined p53-related genetic variants together with HPV infection increase oral cancer risk.

Authors:  Zhongqiu Wang; Erich M Sturgis; Yang Zhang; Zhigang Huang; Qi Zhou; Qingyi Wei; Guojun Li
Journal:  Int J Cancer       Date:  2011-12-02       Impact factor: 7.396

10.  Association between p53 codon 72 genetic polymorphisms and tobacco use and lung cancer risk in a Chinese population.

Authors:  Dazhong Liu; Fei Wang; Xiaotong Guo; Qiushi Wang; Wei Wang; Hao Xu; Guangquan Xu
Journal:  Mol Biol Rep       Date:  2012-10-11       Impact factor: 2.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.