Abstract
Studies over the past decade have shown that many cancers have evolved receptor tyrosine kinase (RTK) co-activation as a mechanism to drive tumour progression and limit the lethal effects of therapy. This review summarises the general principles of RTK co-activation and discusses approaches to exploit this phenomenon in cancer therapy and drug discovery. Computational strategies to predict kinase co-dependencies by integrating drug screening data and kinase inhibitor selectivity profiles will also be described. We offer a perspective on the implications of RTK co-activation on tumour heterogeneity and cancer evolution and conclude by surveying emerging computational and experimental approaches that will provide insights into RTK co-activation biology and deliver new developments in effective cancer therapies.
Original language | English |
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Pages (from-to) | 72-84 |
Number of pages | 13 |
Journal | Drug Discovery Today |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2017 Jan 1 |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Ltd
ASJC Scopus subject areas
- Pharmacology
- Drug Discovery