Exploiting receptor tyrosine kinase co-activation for cancer therapy

Aik-Choon Tan1, Simon Vyse2, Paul H Huang2

  • 1Translational Bioinformatics and Cancer Systems Biology Laboratory, Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Drug Discovery Today
|July 26, 2016
PubMed

Insights

Receptor tyrosine kinase (RTK) co-activation drives cancer progression and therapy resistance. This review explores targeting RTK co-activation for novel cancer therapies and drug discovery, using computational methods to predict kinase dependencies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Receptor tyrosine kinases (RTKs) play crucial roles in cell signaling.
  • Aberrant RTK signaling, specifically co-activation, is implicated in numerous cancers.
  • RTK co-activation contributes to tumor progression and therapeutic resistance.

Purpose of the Study:

  • To summarize the principles of RTK co-activation in cancer.
  • To discuss therapeutic strategies targeting RTK co-activation.
  • To explore computational approaches for predicting kinase co-dependencies.

Main Methods:

  • Review of existing literature on RTK co-activation.
  • Analysis of computational strategies integrating drug screening and kinase inhibitor profiles.
  • Discussion of implications for tumor heterogeneity and cancer evolution.

Main Results:

  • RTK co-activation is a significant mechanism in cancer progression and treatment failure.
  • Computational methods can predict kinase co-dependencies.
  • Understanding RTK co-activation offers insights into tumor evolution.

Conclusions:

  • Targeting RTK co-activation presents a promising avenue for cancer therapy and drug discovery.
  • Emerging computational and experimental approaches are key to advancing RTK co-activation biology.
  • New developments in effective cancer therapies are anticipated.

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