An unbiased in vitro screen for activating epidermal growth factor receptor mutations

Deepankar Chakroborty1,2,3, Kari J Kurppa1,4, Ilkka Paatero3

  • 1From the Institute of Biomedicine and Medicity Research Laboratories and.

Insights

Researchers developed a novel screening platform, iSCREAM, to rapidly identify activating mutations in the epidermal growth factor receptor (EGFR) gene. This method efficiently characterizes thousands of variants, uncovering new cancer-driving mutations.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Cancer genomes contain numerous mutations, but functional characterization of oncogenic variants, particularly in receptor tyrosine kinases (RTKs), remains a challenge.
  • Identifying gain-of-function mutations is crucial for understanding cancer evolution and developing targeted therapies.

Purpose of the Study:

  • To develop and validate an unbiased platform, iSCREAM (screen for activating mutations), for high-throughput functional characterization of RTK variants.
  • To identify novel activating mutations in the epidermal growth factor receptor (EGFR) gene using this platform.

Main Methods:

  • Developed the iSCREAM platform for unbiased, single-assay functional characterization of thousands of gene variants.
  • Utilized a library of 7,216 randomly mutated EGFR single-nucleotide variants tested in Ba/F3 cells dependent on interleukin-3 (IL-3) for growth.
  • Employed a somatic cancer evolution model with selection for gain-of-function EGFR mutants that confer IL-3 independence.

Main Results:

  • The iSCREAM platform successfully enriched 21 activating EGFR variants from 7,216 tested mutations.
  • Identified EGFR A702V as a novel activating variant that stabilizes the kinase dimer interface and is sensitive to afatinib.
  • Validated the platform's efficacy by recapitulating known activating mutations, including EGFR L858R.

Conclusions:

  • The iSCREAM platform provides a powerful tool for unbiased identification of activating RTK variants under selection pressure.
  • This approach facilitates the discovery of novel oncogenic mutations within a model of cancer heterogeneity and evolution.
  • Findings highlight the potential of iSCREAM for accelerating the functional annotation of cancer-associated genetic variants.

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