Drug resistance missense mutations in cancer are subject to evolutionary constraints

Ran Friedman1

  • 1Department of Chemistry and Biomedical Sciences, Linnæus University, Kalmar, Sweden ; Linnæus University Centre for Biomaterials Chemistry, Linnæus University, Kalmar, Sweden.

Plos One
|December 31, 2013
PubMed

Insights

Cancer drug resistance mutations often follow evolutionary paths, driven by evolutionary pressure. Understanding these patterns may help counter resistance, especially complex compound mutations in genes like Abl1.

Area of Science:

  • Oncology
  • Genetics
  • Evolutionary Biology

Background:

  • Oncogene addiction describes cancer cell dependence on specific genes.
  • Targeted therapies offer temporary relief but often face relapse due to resistance mutations.
  • Compound mutations (≥2 mutations in a single clone) can cause significant drug resistance.

Purpose of the Study:

  • To investigate the evolutionary pathways of drug resistance mutations in cancer.
  • To analyze how evolutionary pressure shapes the mutational landscape of targeted cancer therapies.
  • To explore the prevalence and implications of compound mutations in drug resistance.

Main Methods:

  • Bioinformatic analysis of somatic mutations in tyrosine kinase inhibitors.
  • Examination of resistance mutations in Abl1, ALK, and EGFR (exons 20 and 21).
  • Comparative analysis of mutation types (conservative vs. radical) across different genes.

Main Results:

  • The majority of resistance mutations follow predictable evolutionary pathways.
  • Mutations favor amino acid substitutions found in related evolutionary proteins.
  • Abl1 mutations are often biochemically conservative, while ALK and EGFR mutations are radical.
  • Compound mutations in Abl1 appear more prevalent and harder to counteract than previously thought.

Conclusions:

  • Evolutionary pressure significantly shapes the landscape of cancer drug resistance mutations.
  • Understanding these evolutionary constraints may enable strategies to overcome single point mutations.
  • Compound mutations represent a significant challenge and potential escape route in targeted cancer therapy.

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