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Epigenetic Mechanisms Regulating Adaptive Responses to Targeted Kinase Inhibitors in Cancer

Steven P Angus1, Jon S Zawistowski1, Gary L Johnson1

  • 1Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina 27599, USA; email: steven.angus@unc.edu , jon_zawistowski@med.unc.edu , glj@med.unc.edu.

Insights

Cancer cells develop resistance to targeted kinase inhibitors through genetic mutations and adaptive epigenetic changes. Combining kinase inhibitors with epigenetic drugs shows promise in overcoming resistance and improving patient outcomes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Epigenetics

Background:

  • Targeted kinase inhibitors offer significant patient responses in cancer treatment.
  • Development of resistance to these therapies remains a major clinical challenge.
  • Resistance mechanisms include genomic alterations and adaptive transcriptional/signaling responses.

Purpose of the Study:

  • To review mechanisms of resistance to kinase inhibition in cancer.
  • To emphasize the role of the rewired kinome and transcriptional signaling networks.
  • To explore potential vulnerabilities for overcoming adaptive signaling changes.

Main Methods:

  • Review of existing literature on kinase inhibitor resistance.
  • Focus on genomic alterations (mutations, copy number changes).
  • Emphasis on epigenomic modulation (histone modifications, DNA methylation, noncoding RNAs) driving cell state changes.

Main Results:

  • Genomic alterations like gatekeeper mutations drive resistance.
  • Adaptive responses, including epithelial-to-mesenchymal transition and cancer stem cell phenotypes, are crucial.
  • Epigenomic remodeling underpins these adaptive cell state changes.
  • Combination therapies (kinase inhibitors + epigenetic drugs) show promise.

Conclusions:

  • Resistance to kinase inhibitors is complex, involving both genomic and adaptive epigenetic mechanisms.
  • Targeting epigenomic modulation and transcriptional networks offers new strategies to overcome resistance.
  • Combination therapies hold potential for improved cancer treatment outcomes.

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