Background: Genome-wide association studies have indicated that most of the currently identified disease and trait-associated single nucleotide polymorphisms (SNPs) are intronic or intergenic. RegulomeDB is a recently developed database that provides functional annotations for regulatory features of SNPs located in non-coding regions. We evaluated the potential regulatory SNPs in the EGFR gene region using RegulomeDB and their associations with prognosis after surgery in non-small cell lung cancer (NSCLC) patients.
Methods: A total of 698 patients with surgically resected NSCLC were enrolled and seven SNPs were selected based on the RegulomeDB database. All SNPs were genotyped using SEQUENOM MassARRAY iPLEX assay.
Results: Among the seven SNPs evaluated, rs9642391 (EGFR ivs19+2851C>G) was significantly associated with survival outcome (adjusted hazard ratio [HR] for overall survival = 0.70, 95% confidence interval [CI] 0.56-0.87, P = 0.001; adjusted HR for disease-free survival = 0.82, 95% CI 0.70-0.97, P = 0.02; under a codominant model). According to RegulomeDB, rs9642391C>G, which is located in intron 19 of EGFR, was predicted to influence the expression of GBAS but not EGFR. As predicted, rs9642391C>G was associated with GBAS (P = 0.024) but not EGFR messenger RNA expression in tumor tissues.
Conclusion: In conclusion, our study provides evidence that rs9642391C>G in the intron of EGFR is associated with GBAS expression and survival outcomes of patients with surgically resected early-stage NSCLC.
Keywords: EGFR; RegulomeDB; lung cancer; survival.
© 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.