Evidence map›Paper›PMID 24863946›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

No evidence of correlation between p53 codon 72 G > C gene polymorphism and cancer risk in Indian population: a meta-analysis.

Raju K Mandal, Suraj S Yadav, Aditya K Panda

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Raju K MandalDepartment of Urology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raibareli Road, Lucknow, India, dr.rajumandal@hotmail.com.
Suraj S Yadav
Aditya K Panda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Polymorphism, Single NucleotideAllelesCase-Control StudiesGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansIndiaNeoplasmsOdds RatioRisk FactorsTumor Suppressor Protein p53Tumor Suppressor Protein p53

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.