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Dataset Information

Identification of enriched driver gene alterations in subgroups of non-small cell lung cancer patients based on histology and smoking status.


ABSTRACT:

Background

Appropriate patient selection is needed for targeted therapies that are efficacious only in patients with specific genetic alterations. We aimed to define subgroups of patients with candidate driver genes in patients with non-small cell lung cancer.

Methods

Patients with primary lung cancer who underwent clinical genetic tests at Guangdong General Hospital were enrolled. Driver genes were detected by sequencing, high-resolution melt analysis, qPCR, or multiple PCR and RACE methods.

Results

524 patients were enrolled in this study, and the differences in driver gene alterations among subgroups were analyzed based on histology and smoking status. In a subgroup of non-smokers with adenocarcinoma, EGFR was the most frequently altered gene, with a mutation rate

SUBMITTER: An SJ 

PROVIDER: S-EPMC3387024 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature