Analysis of somatic mutations across the kinome reveals loss-of-function mutations in multiple cancer types

Runjun D Kumar1,2, Ron Bose3

  • 1Division of Oncology, Department of Medicine, Washington University School of Medicine, 660S Euclid Ave, St. Louis, MO, 63110, USA.

Scientific Reports
|July 27, 2017
PubMed

Insights

This study identifies key functional residues in protein kinases using cancer mutation data. Eleven validated mutations from these sites significantly impair kinase function, highlighting potential cancer drivers.

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Protein kinases are crucial in cell signaling and frequently implicated in cancer.
  • Somatic mutations in cancer provide insights into gene function and disease mechanisms.

Purpose of the Study:

  • To identify functionally important residues in protein kinases using somatic mutation data.
  • To develop and apply statistical methods for detecting significantly mutated positions (SMPs).

Main Methods:

  • Development of statistical tests to identify SMPs indicative of selection pressure.
  • Analysis of 21,917 somatic mutations across aligned human kinase sequences.
  • Functional validation of eleven selected mutations from identified SMPs.

Main Results:

  • Identification of 23 SMPs within the human kinase superfamily, located in key regions like the A-loop and kinase lobes.
  • Experimental validation confirmed that all eleven tested mutations lead to reduced or lost kinase function.
  • Mutations were found in tumor suppressors (e.g., TGFBR1, CHEK2) and oncogenes (e.g., KDR, ERBB2) across various cancer types.

Conclusions:

  • The identified SMPs represent critical functional residues potentially important across multiple protein kinases.
  • These findings suggest several mutations may act as significant drivers of cancer.
  • Further investigation of these mutations is warranted for understanding cancer development and therapeutic targeting.

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