Exploiting Temporal Collateral Sensitivity in Tumor Clonal Evolution

The prevailing approach to addressing secondary drug resistance in cancer focuses on treating the resistance mechanisms at relapse. However, the dynamic nature of clonal evolution, along with potential fitness costs and cost compensations, may present exploitable vulnerabilities-a notion that we ter...

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Bibliographic Details
Main Authors: Zhao, Boyang (Contributor), Srinivas, Raja Ram (Contributor), Creixell Morera, Pau (Contributor), Tidor, Bruce (Contributor), Lauffenburger, Douglas A (Contributor), Hemann, Michael (Contributor), Pritchard, Justin R. (Author)
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor), Pritchard, Justin Robert (Contributor)
Format: Article
Language:English
Published: Elsevier, 2017-09-05T19:40:58Z.
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