Literature DB >> 22707142

An updated meta-analysis of the p53 codon 72 polymorphism and gastric cancer risk.

Kui-Jie Liu1, Hai-Zhi Qi, Hong-Liang Yao, San-Lin Lei, Zhen-Dong Lei, Tie-Gang Li, Hua Zhao.   

Abstract

To investigate the association between p53 codon 72 polymorphisms and gastric cancer risk, a meta-analysis published in 2007 was updated with new data. Relevant literature was retrieved by searching PubMed and statistical analysis conducted using Review Manager software. Twenty-eight case-control studies were included in this meta-analysis, with 6,859 cases and 9,277 controls. The pooled results for all included studies showed that patients with gastric cancer had a borderline lower frequency of the Arg/Arg phenotype (odds ratio (OR) = 0.91, 95 % CI = 0.83-1.00, p = 0.04). When stratified for race, the difference in Arg/Arg frequency was significant among Asians (OR = 0.87, 95 % CI = 0.78-0.97, p = 0.01). On stratifying the various studies we found that, among Asians: (i) patients with cardial gastric cancer had a significantly higher frequency of the Pro/Pro genotype (OR = 1.35, 95 % CI = 1.03-1.77, p = 0.04) than those with non-cardial gastric cancer; (ii) patients with advanced (stage III/IV) gastric cancer had a significantly higher frequency of Arg/Arg (OR = 1.30, 95 % CI = 1.06-1.61, p = 0.01) than those with early (stage I/II) cancer; and (iii) patients with metastasis had a significantly higher frequency of Pro/Pro (OR = 3.31, 95 % CI = 1.31-8.41) than those without metastasis. Our study suggests that, among Asians, the p53 codon 72 Arg/Arg genotype is associated with a modestly decreased risk of gastric cancer, and that this difference in genotype distribution may be associated with cancer stage, location, differentiation and metastasis.

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Year:  2012        PMID: 22707142     DOI: 10.1007/s11033-012-1674-0

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  47 in total

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2.  Need for clarification of data in the recent meta-analysis about p53 polymorphism and gastric cancer risk.

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4.  P53, p21, and p73 gene polymorphisms in gastric carcinoma.

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Review 8.  Awakening guardian angels: drugging the p53 pathway.

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Journal:  Nat Rev Cancer       Date:  2009-12       Impact factor: 60.716

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  7 in total

1.  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

2.  P53 codon 72 polymorphism and lung cancer risk: evidence from 27,958 subjects.

Authors:  Chao Zhou; Hao Chen; An Wang
Journal:  Tumour Biol       Date:  2013-05-30

3.  Screening of susceptibility genes and multi-gene risk analysis in gastric cancer.

Authors:  Xiao-bing Shen; Jia Wang; Peng-fei Li; Xiao-feng Ren; Xiao-luan Yan; Fan Wang
Journal:  Med Oncol       Date:  2014-09-23       Impact factor: 3.064

Review 4.  Perspectives on new biomarkers in gastric cancer: diagnostic and prognostic applications.

Authors:  Danilo do Rosário Pinheiro; Wallax Augusto Silva Ferreira; Mariceli Baia Leão Barros; Mariana Diniz Araújo; Symara Rodrigues-Antunes; Bárbara do Nascimento Borges
Journal:  World J Gastroenterol       Date:  2014-09-07       Impact factor: 5.742

5.  Association of P53 gene polymorphism with gastric cancer in Northern Iran as a high-risk region.

Authors:  Akbar Hedayatizadeh-Omran; Reza Alizadeh-Navaei; Ghasem Janbabaei; Versa Omrani-Nava; Yahya Hasheminasab; Omolbanin Amjadi; Mohsen Tehrani
Journal:  Biomed Rep       Date:  2018-02-22

6.  P53 codon 72 Arg/Pro polymorphism and lung cancer risk in Asians: an updated meta-analysis.

Authors:  Siyang Wang; Xingang Lan; Sheng Tan; Siwen Wang; Yu Li
Journal:  Tumour Biol       Date:  2013-06-28

7.  Genetic variation in the TP53 pathway and bladder cancer risk. a comprehensive analysis.

Authors:  Silvia Pineda; Roger L Milne; M Luz Calle; Nathaniel Rothman; Evangelina López de Maturana; Jesús Herranz; Manolis Kogevinas; Stephen J Chanock; Adonina Tardón; Mirari Márquez; Lin T Guey; Montserrat García-Closas; Josep Lloreta; Erin Baum; Anna González-Neira; Alfredo Carrato; Arcadi Navarro; Debra T Silverman; Francisco X Real; Núria Malats
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

  7 in total

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