Literature DB >> 17400332

Lack of evidence that p53 Arg72Pro influences lung cancer prognosis: an analysis of survival in 619 female patients.

Athena Matakidou1, Rachid El Galta, Emily L Webb, Matthew F Rudd, Helen Bridle, Tim Eisen, Richard S Houlston.   

Abstract

The prognostic significance of the Arg72Pro polymorphism of the p53 tumour suppressor gene in cancer is controversial. To determine whether Arg72Pro is a marker for lung cancer prognosis we genotyped 619 female lung cancer patients with incident disease and examined the relationship between genotype and overall survival (OS). Nonparametric tests provided no evidence for a relationship between SNP genotype and OS (P-values 0.131, 0.161, and 0.156 for log rank, Wilcoxon and Fleming-Harrington test statistics, respectively). Under the Cox proportional hazards model the HRs associated with Arg/Pro, Pro/Pro and Pro-carrier status were: 0.98 (95%CI: 0.79-1.22), 0.76 (95%CI: 0.51-1.15) and 0.93 (95%CI: 0.76-1.15), respectively. Despite employing a comprehensive set of statistical tests including those sensitive to the detection of differences in early survival our data provide little evidence to support the tenet that the p53 Arg72Pro polymorphism is a clinically useful prognostic marker for lung cancer.

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Year:  2007        PMID: 17400332     DOI: 10.1016/j.lungcan.2007.02.021

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

1.  Association of p53 codon 72 polymorphism and survival of North Indian lung cancer patients treated with platinum-based chemotherapy.

Authors:  Ankita Kumari; Charu Bahl; Navneet Singh; Digambar Behera; Siddharth Sharma
Journal:  Mol Biol Rep       Date:  2016-09-10       Impact factor: 2.316

2.  TP53 Arg72Pro polymorphism is associated with increased overall survival but not response to therapy in Portuguese/Caucasian patients with advanced cervical cancer.

Authors:  Ana Coelho; Augusto Nogueira; Sílvia Soares; Joana Assis; Deolinda Pereira; Isabel Bravo; Raquel Catarino; Rui Medeiros
Journal:  Oncol Lett       Date:  2018-03-26       Impact factor: 2.967

Review 3.  p53 polymorphisms: cancer implications.

Authors:  Catherine Whibley; Paul D P Pharoah; Monica Hollstein
Journal:  Nat Rev Cancer       Date:  2009-02       Impact factor: 60.716

4.  Effect of p53 codon 72 polymorphism on the survival outcome in advanced stage cervical cancer patients in India.

Authors:  Akanksha Bansal; Poulami Das; Sadhana Kannan; Umesh Mahantshetty; Rita Mulherkar
Journal:  Indian J Med Res       Date:  2016-09       Impact factor: 2.375

  4 in total

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