Sequential Application of Anticancer Drugs Enhances Cell Death by Rewiring Apoptotic Signaling Networks
Name
Lee-2012-Sequential Applicati.pdf
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2.52 MB
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Author(s)
Lee, Michael J.
Ye, Albert S.
Gardino, Alexandra Kate
Heijink, Anne Margriet
Sorger, Peter K.
MacBeath, Gavin
Yaffe, Michael B.
Sorger, Peter K.
Yaffe, Michael B.
Date Issued
May 2012
Journal
Cell
Publisher
Elsevier
Citation
Lee, Michael J., Albert S. Ye, Alexandra K. Gardino, Anne Margriet Heijink, Peter K. Sorger, Gavin MacBeath, and Michael B. Yaffe. “Sequential Application of Anticancer Drugs Enhances Cell Death by Rewiring Apoptotic Signaling Networks.” Cell 149, no. 4 (May 2012): 780–794. © 2012 Elsevier Inc.
Version
Final published version
Abstract
Crosstalk and complexity within signaling pathways and their perturbation by oncogenes limit component-by-component approaches to understanding human disease. Network analysis of how normal and oncogenic signaling can be rewired by drugs may provide opportunities to target tumors with high specificity and efficacy. Using targeted inhibition of oncogenic signaling pathways, combined with DNA-damaging chemotherapy, we report that time-staggered EGFR inhibition, but not simultaneous coadministration, dramatically sensitizes a subset of triple-negative breast cancer cells to genotoxic drugs. Systems-level analysis—using high-density time-dependent measurements of signaling networks, gene expression profiles, and cell phenotypic responses in combination with mathematical modeling—revealed an approach for altering the intrinsic state of the cell through dynamic rewiring of oncogenic signaling pathways. This process converts these cells to a less tumorigenic state that is more susceptible to DNA damage-induced cell death by reactivation of an extrinsic apoptotic pathway whose function is suppressed in the oncogene-addicted state.
MIT Department
Massachusetts Institute of Technology. Cell Decision Process Center
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1016/j.cell.2012.03.031
