Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations

Bin Zou1, Victor H F Lee2, Lijiang Chen1,3

  • 1Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.

Scientific Reports
|July 28, 2017
PubMed

Insights

Drug resistance in EGFR-mutated non-small cell lung cancer (NSCLC) often involves the T790M mutation. Initial EGFR mutation type influences the likelihood of developing this resistance, guiding future TKI development.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Metastatic non-small-cell lung cancer (NSCLC) with EGFR mutations initially responds well to tyrosine kinase inhibitors (TKIs).
  • Acquired T790M mutation is a common mechanism of resistance to first and second-generation TKIs in NSCLC.
  • Understanding resistance mechanisms is crucial for developing effective, next-generation therapies.

Purpose of the Study:

  • To prospectively investigate the correlation between initial EGFR mutational status and the acquisition of T790M resistance mutations in NSCLC patients.
  • To explore the molecular basis of T790M acquisition using computational methods.

Main Methods:

  • Prospective recruitment of 68 metastatic EGFR-mutated NSCLC patients progressing on TKI therapy.
  • Liquid biopsy for detecting acquired T790M mutations post-treatment.
  • Attribute ranking to identify factors associated with T790M acquisition.
  • Computational studies to assess EGFR mutation stability.

Main Results:

  • Initial EGFR mutational type was identified as a significant factor correlating with T790M acquisition.
  • The EGFR delE746_A750 mutation showed lower stability around residue T790 compared to delS752_I759 and L858R.
  • Patients with delE746_A750 were more prone to acquiring the T790M mutation.

Conclusions:

  • The specific type of initial EGFR mutation impacts the likelihood of developing T790M-mediated resistance in NSCLC.
  • Computational findings support clinical observations, highlighting the role of mutation stability.
  • These insights are vital for developing novel, mutation-specific TKIs to overcome acquired resistance.

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