title: Investigation of the epidermal growth factor receptor mutation rate in non-small cell lung cancer patients and the analysis of associated risk factors using logistic regression.
abstract: The aim of the present study was to investigate the mutation rate of the epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) patients and to apply logistic regression analysis to investigate the factors associated with EGFR gene mutation to provide data for the treatment of NSCLC. Paraffin tissue, bronchoscopy or pleural effusion specimens were collected from 176 NSCLC patients following pathological diagnosis. The EGFR gene exon 19 delL747-S75linss and delL747-S752ins deletion mutations, and the exon 20 T790M and exon 21 L858R mutations were identified using amplification refractory mutation system analysis. The clinical data and laboratory results of the patients were collected, and the total mutation rate of the EGFR gene in exons 19, 20 and 21 in the 176 NSCLC patients was found to be 48.3% (85/176). In addition, the EGFR gene mutation rate in adenocarcinoma was found to be significantly higher than that in squamous cell and large cell carcinoma (χ2=12.454; P=0.002). Furthermore, the mutation rate was found to be significantly higher in females than in males (χ2=13.78; P=0.001). The rate of exon 19 mutation was 21.0% (37/176), whereas the rate of exon 20 T90M mutation was 1.7% (3/176) and that of exon 21 L858R mutation was 29.0% (51/176). The logistic regression analysis revealed that the female gender, adenocarcinoma, distant metastasis and chemotherapy are factors associated with EGFR gene mutation (P<0.05). The female gender resulted in an increased incidence (2.438 times that of males) of EGFR mutation. Similarly, adenocarcinoma, distant metastasis and chemotherapy exhibited an increase in EGFR mutation risk (by 2.571, 2.810 and 0.367 times, respectively). The rate of EGFR mutation was high in the NSCLC patients, predominantly in exons 21 and 19. Therefore, these factors (female gender, adenocarcinoma, distant metastasis and chemotherapy) may increase the probability of EGFR gene mutations.
authors.affiliation: Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Qinshi
authors.initials: Q
authors.lastname: Pan
authors.affiliation: Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Yumin
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Jie
authors.initials: J
authors.lastname: Chen
authors.affiliation: Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Gang
authors.initials: G
authors.lastname: Xu
authors.affiliation: Department of Surgical Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Bicheng
authors.initials: B
authors.lastname: Chen
authors.affiliation: Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Jingye
authors.initials: J
authors.lastname: Pan
authors.affiliation: Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
authors.forename: Kate
authors.initials: K
authors.lastname: Huang
keywords: epidermal growth factor receptor; logistic regression analysis; mutation; non-small cell lung carcinoma