Dataset Information

Association between EGFR polymorphisms and the risk of lung cancer.

ABSTRACT:

Target

The study aimed to investigate the role of epidermal growth factor receptor (EGFR) rs6965469 and rs763317 polymorphisms in the occurrence and development of lung cancer.

Methods

We used polymerase chain reaction-ligation detection reaction (PCR-LDR) method to detect the genotypes of EGFR rs6965469 and rs763317 polymorphisms and the data were analyzed by GeneMapper software. Odds ratios (ORs) with 95% confidence intervals (CIs) was calculated by χ(2) test to estimate the significance difference of genotype and allele frequencies in case and control groups. ORs and 95% CIs were adjusted by logistic regression analysis with age, gender, drinking and smoking. The genotypes distributions of control group were tested by Hardy-Weinberg equilibrium (HWE).

Results

The genotypes frequencies of controls for rs6965469 and rs763317 polymorphims were consistent with HWE. The distribution of rs6965469 TT genotype in two groups was significantly different (P<0.05) and TT genotype was associated with an increased risk of lung cancer (OR=6.92, 95% CI=1.33-36.00). AA genotype and A allele of rs763317 were also the susceptible factors of lung cancer. Individuals with AA genotype or A allele were more likely to suffer lung cancer (AA vs. GG: OR=7.20, 95% CI=1.33-39.07; A vs. G: OR=2.61, 95% CI=1.04-6.59).

Conclusions

The EGFR rs6965469 and rs763317 polymorphisms may be risk factors for lung cancer.

SUBMITTER: Liu C

PROVIDER: S-EPMC4713660 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between EGFR polymorphisms and the risk of lung cancer.

Liu Changjiang C Xu Xiaorong X Zhou Yufa Y

International journal of clinical and experimental pathology 20151101 11

<h4>Target</h4>The study aimed to investigate the role of epidermal growth factor receptor (EGFR) rs6965469 and rs763317 polymorphisms in the occurrence and development of lung cancer.<h4>Methods</h4>We used polymerase chain reaction-ligation detection reaction (PCR-LDR) method to detect the genotypes of EGFR rs6965469 and rs763317 polymorphisms and the data were analyzed by GeneMapper software. Odds ratios (ORs) with 95% confidence intervals (CIs) was calculated by χ(2) test to estimate the sig ...[more]

PMID: 26823874

Similar Datasets

Project description:BackgroundThe association between polymorphisms on 15q25.1 and lung cancer has been widely evaluated; however, the studies have yielded contradictory results. We sought to investigate this inconsistency by performing a comprehensive meta-analysis on two polymorphisms (CHRNA3 gene: rs1051730 and AGPHD1 gene: rs8034191) on 15q25.1.MethodsData were extracted from 15 and 14 studies on polymorphisms rs1051730 and rs8034191 involving 12301/14000 and 14075/12873 lung cancer cases/controls, respectively. The random-effects model was applied, addressing heterogeneity and publication bias.ResultsThe two polymorphisms followed Hardy-Weinberg equilibrium for all studies (P>0.05). For rs1051730-G/A, carriers of A allele had a 36% increased risk for lung cancer (95% confidence interval [CI]: 1.27-1.46; P<0.0005), without heterogeneity (P = 0.258) or publication bias (P(Egger) = 0.462). For rs8034191-T/C, the allelic contrast indicated that C allele conferred a 23% increased risk for lung cancer (95% CI: 1.08-1.4; P = 0.002), with significant heterogeneity (P<0.0005), without publication bias (P(Egger) = 0.682). Subgroup analyses suggested that the between-study heterogeneity was derived from ethnicity, study design, matched information, and lung cancer subtypes. For example, the association of polymorphisms rs1051730 and rs8034191 with lung cancer was heterogeneous between Caucasians (OR = 1.32 and 1.22; 95% CI: 1.25-1.44 and 1.05-1.42; P<0.0005 and 0.008, respectively) and East Asians (OR = 1.51 and 1.03; 95% CI: 0.76-3 and 0.47-2.27; P = 0.237 and 0.934, respectively) under the allelic model, and this association was relatively strengthened under the dominant model. There was no observable publication bias for both polymorphisms.ConclusionsOur findings demonstrated that CHRNA3 gene rs1051730-A allele and AGPHD1 gene rs8034191-T allele might be risk-conferring factors for the development of lung cancer in Caucasians, but not in East-Asians.

Dataset Information

Association between EGFR polymorphisms and the risk of lung cancer.

Target

Methods

Results

Conclusions

Publications

Association between EGFR polymorphisms and the risk of lung cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets