89
Views
28
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLEClinical Translational Therapeutics

p53 Arg72Pro Polymorphism Predicts Survival Outcome in Lung Cancer Patients in Indian Population

, , , , &
Pages 41-46 | Published online: 11 Jun 2009
 

Abstract

In response to many forms of cellular stress, including DNA damage, the p53 protein functions to induce growth arrest, DNA repair, or apoptosis. Common allele variants in the TP53 gene modulate pathways of lung carcinogenesis and susceptibility to or prognosis of lung cancer. The prognostic role of the polymorphism was assessed in 422 subjects using PCR-RFLP. Logistic regression analysis showed a dominant presentation of Pro/Pro homozygotes in lung carcinoma population than in control population (OR = 2.1, P = 0.003). We further investigated the association of p53 codon 72 polymorphism with prognosis in 170 lung cancer patients. Kaplan-Meier survival analyses showed a significant difference in survival between p53 variant genotypes and overall survival (P = 0.02). Cox regression analysis showed p53 Arg72Pro heterozygous genotype was overall an independent prognostic factor (Risk ratio of death, 2.2; P = 0.02), suggesting Pro72Pro genotype to be a potential risk factor favoring the development of lung carcinoma and that Arg72Pro genotype is independently associated with a poorer prognosis of lung cancer.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,193.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.