Literature DB >> 21604156

Association between the p53 polymorphisms and breast cancer risk: meta-analysis based on case-control study.

Xiao-Feng He1, Jiao Su, Ying Zhang, Xian Huang, Yi Liu, Da-Peng Ding, Wei Wang, K Arparkorn.   

Abstract

p53 is a tumor suppressor gene and plays an important role in the etiology of breast cancer. However, studies on the association between p53 polymorphisms and breast cancer risk have yielded conflicting results. We performed a meta-analysis to investigate the association between breast cancer and the p53 polymorphisms codon 72 (27,046 cases and 30,998 controls), IVS3 16 bp (3,332 cases and 3,700 controls) and IVS6+62A>G (8,787 cases and 9,869 controls) in different inheritance models. When all the eligible studies of codon 72 polymorphism were pooled into this meta-analysis, there was no evidence of significant association between breast cancer risk and p53 codon 72 polymorphism in any genetic model. However, in the stratified analysis for Indian population, significantly association was observed in additive model (OR = 0.62, 95% CI = 0.46-0.82, P value of heterogeneity test [P (h)] = 0.153) and recessive model (OR = 0.70, 95% CI = 0.50-0.92, P (h) = 0.463). IVS3 16 bp was significantly associated with breast cancer risk in a pooled 15 studies dataset (dominant model: OR = 1.14, 95% CI = 1.02-1.27, P (h) = 0.30; recessive model: OR = 1.61, 95% CI = 1.21-2.25, P(h) = 0.25; additive model: OR = 1.66, 95% CI = 1.24-2.21, P (h) = 0.28). No significant association was found between IVS6+62A>G polymorphism and breast cancer risk in a total of 14 studies. In summary, these results indicate that IVS3 16 bp is likely an important genetic marker contributing to susceptibility of breast cancer, and codon 72 homozygous mutants may be associated with decreased breast cancer risk in Indian population.

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Year:  2011        PMID: 21604156     DOI: 10.1007/s10549-011-1583-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  14 in total

1.  Epistatic interaction of Arg72Pro TP53 and -710 C/T VEGFR1 polymorphisms in breast cancer: predisposition and survival.

Authors:  Patricia Rodrigues; Jessica Furriol; Eduardo Tormo; Sandra Ballester; Ana Lluch; Pilar Eroles
Journal:  Mol Cell Biochem       Date:  2013-04-06       Impact factor: 3.396

2.  The p53 codon 72 polymorphism is associated with risk and early onset of breast cancer among Saudi women.

Authors:  Abeer Al-Qasem; Mohamed Toulimat; Asma Tulbah; Naser Elkum; Taher Al-Tweigeri; Abdelilah Aboussekhra
Journal:  Oncol Lett       Date:  2012-01-24       Impact factor: 2.967

3.  p53 codon 72 polymorphism and hematological cancer risk: an update meta-analysis.

Authors:  Yu Weng; Liqin Lu; Guorong Yuan; Jing Guo; Zhizhong Zhang; Xinyou Xie; Guangdi Chen; Jun Zhang
Journal:  PLoS One       Date:  2012-09-24       Impact factor: 3.240

4.  Prognostic and predictive value of TP53 mutations in node-positive breast cancer patients treated with anthracycline- or anthracycline/taxane-based adjuvant therapy: results from the BIG 02-98 phase III trial.

Authors:  Lynnette Fernández-Cuesta; Catherine Oakman; Priscila Falagan-Lotsch; Ke-Seay Smoth; Emmanuel Quinaux; Marc Buyse; M Stella Dolci; Evandro De Azambuja; Pierre Hainaut; Patrizia Dell'orto; Denis Larsimont; Prudence A Francis; John Crown; Martine Piccart-Gebhart; Giuseppe Viale; Angelo Di Leo; Magali Olivier
Journal:  Breast Cancer Res       Date:  2012-05-02       Impact factor: 6.466

5.  Association Between the TP53 Polymorphisms and Breast Cancer Risk: An Updated Meta-Analysis.

Authors:  Lin Zhao; Xiang-Xiongyi Yin; Jun Qin; Wei Wang; Xiao-Feng He
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.599

6.  A meta-analysis of cancer risk associated with the TP53 intron 3 duplication polymorphism (rs17878362): geographic and tumor-specific effects.

Authors:  C Sagne; V Marcel; A Amadou; P Hainaut; M Olivier; J Hall
Journal:  Cell Death Dis       Date:  2013-02-14       Impact factor: 8.469

Review 7.  Ethnic background and genetic variation in the evaluation of cancer risk: a systematic review.

Authors:  Lijun Jing; Li Su; Brian Z Ring
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

8.  Establishment and characterization of two primary breast cancer cell lines from young Indian breast cancer patients: mutation analysis.

Authors:  Santhi Latha Pandrangi; Sarangadhara Appala Raju Bagadi; Navin Kumar Sinha; Manoj Kumar; Rima Dada; Meena Lakhanpal; Abha Soni; Shreshtha Malvia; Sheeba Simon; Chintamani Chintamani; Ravindar Singh Mohil; Dinesh Bhatnagar; Sunita Saxena
Journal:  Cancer Cell Int       Date:  2014-02-05       Impact factor: 5.722

9.  Association of TP53 PIN3 polymorphism with breast cancer in Moroccan population.

Authors:  Chaymaa Marouf; Amal Tazzite; Brehima Diakité; Hassan Jouhadi; Abdellatif Benider; Sellama Nadifi
Journal:  Tumour Biol       Date:  2014-09-09

10.  The Pro allele of the p53 codon 72 polymorphism is associated with decreased intratumoral expression of BAX and p21, and increased breast cancer risk.

Authors:  Katharina Proestling; Alexandra Hebar; Nina Pruckner; Erika Marton; Ursula Vinatzer; Martin Schreiber
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

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