Protein-protein interaction networks (PPIs) govern the majority of biological processes, but how oncogenic mutations impact these interactions and their functions at a network scale is poorly understood. Mutations of epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) is a pre-requisition for EGFR tyrosine kinase inhibitor (TKI) treatment. Identification of interaction partners that bind to mutated EGFR can help understand the mechanism of action and pathways that mediate drug resistance. In this study, we characterized the dynamic interaction network of a pair of EGFR wildtype and mutant NSCLC cell lines. We performed immunoprecipitation of endogenous EGFR at various time points following EGF treatment and analyzed the associated proteins by quantitative mass spectrometry. Our results showed that the core signaling modules and key downstream pathways are maintained in the mutant cell line, but receptor internalization and intracellular trafficking in the mutant is delayed. Furthermore, we identified mutant EGFR-associated proteins that could affect EGFR functions in lung adenocarcinoma. SIGNIFICANCE: We analyzed the dynamic EGFR interaction network in NSCLC cell lines expressing wild-type and mutant EGFR. By comparing the similarities and differences in the EGFR proteome, we gained a better understanding of EGFR signal transduction network, and identified new factors for further functional characterizations and clinical significance assessment.
Keywords: EGFR; IP-MS; Mutant; Protein-protein interaction; Signal transduction.
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