No evidence of correlation between p53 codon 72 G > C gene polymorphism and cancer risk in Indian population: a ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-09

AUTHORS

Raju K. Mandal, Suraj S. Yadav, Aditya K. Panda

ABSTRACT

p53 is a tumor suppressor gene, which is activated in response to several forms of cellular stress and exerts multiple antiproliferative functions, making it the most frequent target for genetic alteration in cancer. Various studies have evaluated the association between p53 codon 72 G > C (rs1042522) polymorphism and risk of cancer. However, results from the published studies remained inconclusive. The aim of this study is to investigate the precise association between this variant and a risk of cancer in a large-scale meta-analysis. We searched the PubMed (MEDLINE) and Google Scholar web databases for studies regarding the association of p53 codon 72 G > C polymorphism and risk of cancer in the Indian population. Pooled odds ratio (OR) with 95 % confidence interval (CI) were calculated by using random effect model to assess the association. Twenty studies with 3,258 cancer cases and 4,260 healthy controls were included. Overall, no significant association was detected for C allele carrier (C vs. G: OR = 1.135, 95 % CI = 0.930 to 1.386, p = 0.211) and homozygous (CC vs. GG: OR = 1.200, 95 % CI = 0.810 to 1.779, p = 0.364), heterozygous (CG vs. GG: OR = 1.204, 95 % CI = 0.921 to 1.575, p = 0.175), dominant (CC + CG vs. GG: OR = 1.231, 95 % CI = 0.932 to 1.625, p = 0.144), and recessive (CC vs. GG + GC: OR = 1.078, 95 % CI = 0.792 to 1.468, p = 0.632) genetic models, respectively. No significant publication bias was observed by using Begg's funnel plot and Egger's test. Present meta-analysis indicated that the p53 codon 72 G > C polymorphism was not associated with cancer risk. This suggests that this polymorphism may not be an independent risk factor for cancer in the Indian population. More... »

PAGES

8607-8613

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13277-014-2114-7

    DOI

    http://dx.doi.org/10.1007/s13277-014-2114-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052264916

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24863946


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