Literature DB >> 26625757

Clinical Implication of EGF A61G Polymorphism in the Risk of Non Small Cell Lung Adenocarcinoma Patients: A Case Control Study.

Mirza Masroor1, Jain Amit, Jamsheed Javid, Rashid Mir, Y Prasant, A Imtiyaz, Z Mariyam, Anant Mohan, P C Ray, Alpana Saxena.   

Abstract

BACKGROUND: The epidermal growth factor (EGF) plays important roles in non-small cell lung cancer (NSCLC) susceptibility and functional polymorphism in the EGF (+61A/G) gene has been linked to increased risk of NSCLC. This study aimed to evaluate the role of the EGF +61A/G polymorphism in risk of NSCLC adenocarcinoma (ADC) occurrence and survival in an Indian population.
MATERIALS AND METHODS: This case- control study included 100 histopathologically confirmed NSCLC (ADC) patients and 100 healthy controls. EGF (A61G) was genotyped by AS-PCR to elucidate putative associations with clinical outcomes. The association of the polymorphism with the survival of NSCLC patients was estimated by Kaplan-Meier curves.
RESULTS: It was found that EGF 61AG heterozygous and GG homozygous genotype is significantly associated with increased risk of NSCLC (ADC) occurrence compared to AA genotype, [OR 2.61 (1.31-5.18) and 3.25 (1.31-8.06), RR 1.51(1.15-2.0) and 1.72 (1.08-2.73) and RD 23.2 (6.90-39.5) and 28.53(7.0-50.1) for heterozygous AG (p=0.005) and homozygous GG (p=0.009)]. Patients homozygous for the G allele exhibited a significantly poor overall survival. The median survival time for patients with EGF 61 AA, AG, and GG genotypes was 10.5, 7.4, and 7.1 months (p=0.02), respectively. NSCLC (ADC) patients with GG + AG exhibited 7.3 months median survival compared to the AA genotype (p=0.009).
CONCLUSIONS: The present study revealed that the EGF A61G genotype may be a novel independent prognostic marker to identify patients at higher risk of occurrence and an unfavourable clinical outcome.

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Year:  2015        PMID: 26625757     DOI: 10.7314/apjcp.2015.16.17.7529

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 in total

1.  Frequencies of EGFR single nucleotide polymorphisms in non-small cell lung cancer patients and healthy individuals in the Republic of Serbia: a preliminary study.

Authors:  Jasmina Obradović; Natasa Djordjević; Natasa Tošic; Jasminka Mrdjanović; Biljana Stanković; Jelena Stanić; Bojan Zarić; Branislav Perin; Sonja Pavlović; Vladimir Jurišić
Journal:  Tumour Biol       Date:  2016-02-05

2.  MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration.

Authors:  Yingnan Hou; Bo Gao; Guojun Li; Zhengchang Su
Journal:  Adv Sci (Weinh)       Date:  2018-07-23       Impact factor: 16.806

3.  Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis.

Authors:  Quan Chen; Yiming Zheng; Bingbing Wu; Xia Chen; Pengfei Ge; Pengcheng Wang
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

  3 in total

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