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Dataset Information

Structure-based classification of EGFR mutations in operable pre-invasive and invasive non-small cell lung cancer: a cross-sectional study.


ABSTRACT:

Background

It has been reported that the structure-based approach for defining functional groups of epidermal growth factor receptor (EGFR) mutations predicts the efficacy of EGFR inhibitors better than the traditional exon-based approach in the advanced stage. However, less is known about this structure-based classification of EGFR mutations in operable early-stage lung adenocarcinoma.

Methods

Non-small cell lung cancer (NSCLC) patients with pathological stage I-III or adenocarcinoma in situ (AIS) who had EGFR mutations identified in next-generation sequencing (NGS) testing were recruited. Both exon-based and structure-based groupings of EGFR mutations were compared between the AIS and stage I-III patients using Fisher's exact test.

Results

SUBMITTER: Wang T 

PROVIDER: S-EPMC9562547 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature