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Evolutionary dynamics of cancer in response to targeted combination therapy

In solid tumors, targeted treatments can lead to dramatic regressions, but responses are often short-lived because resistant cancer cells arise. The major strategy proposed for overcoming resistance is combination therapy. We present a mathematical model describing the evolutionary dynamics of lesio...

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Autores principales: Bozic, Ivana, Reiter, Johannes G, Allen, Benjamin, Antal, Tibor, Chatterjee, Krishnendu, Shah, Preya, Moon, Yo Sup, Yaqubie, Amin, Kelly, Nicole, Le, Dung T, Lipson, Evan J, Chapman, Paul B, Diaz, Luis A, Vogelstein, Bert, Nowak, Martin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691570/
https://www.ncbi.nlm.nih.gov/pubmed/23805382
http://dx.doi.org/10.7554/eLife.00747
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author Bozic, Ivana
Reiter, Johannes G
Allen, Benjamin
Antal, Tibor
Chatterjee, Krishnendu
Shah, Preya
Moon, Yo Sup
Yaqubie, Amin
Kelly, Nicole
Le, Dung T
Lipson, Evan J
Chapman, Paul B
Diaz, Luis A
Vogelstein, Bert
Nowak, Martin A
author_facet Bozic, Ivana
Reiter, Johannes G
Allen, Benjamin
Antal, Tibor
Chatterjee, Krishnendu
Shah, Preya
Moon, Yo Sup
Yaqubie, Amin
Kelly, Nicole
Le, Dung T
Lipson, Evan J
Chapman, Paul B
Diaz, Luis A
Vogelstein, Bert
Nowak, Martin A
author_sort Bozic, Ivana
collection PubMed
description In solid tumors, targeted treatments can lead to dramatic regressions, but responses are often short-lived because resistant cancer cells arise. The major strategy proposed for overcoming resistance is combination therapy. We present a mathematical model describing the evolutionary dynamics of lesions in response to treatment. We first studied 20 melanoma patients receiving vemurafenib. We then applied our model to an independent set of pancreatic, colorectal, and melanoma cancer patients with metastatic disease. We find that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed. We also find that simultaneous therapy with two drugs is much more effective than sequential therapy. Our results provide realistic expectations for the efficacy of new drug combinations and inform the design of trials for new cancer therapeutics. DOI: http://dx.doi.org/10.7554/eLife.00747.001
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spelling pubmed-36915702013-06-26 Evolutionary dynamics of cancer in response to targeted combination therapy Bozic, Ivana Reiter, Johannes G Allen, Benjamin Antal, Tibor Chatterjee, Krishnendu Shah, Preya Moon, Yo Sup Yaqubie, Amin Kelly, Nicole Le, Dung T Lipson, Evan J Chapman, Paul B Diaz, Luis A Vogelstein, Bert Nowak, Martin A eLife Genomics and Evolutionary Biology In solid tumors, targeted treatments can lead to dramatic regressions, but responses are often short-lived because resistant cancer cells arise. The major strategy proposed for overcoming resistance is combination therapy. We present a mathematical model describing the evolutionary dynamics of lesions in response to treatment. We first studied 20 melanoma patients receiving vemurafenib. We then applied our model to an independent set of pancreatic, colorectal, and melanoma cancer patients with metastatic disease. We find that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed. We also find that simultaneous therapy with two drugs is much more effective than sequential therapy. Our results provide realistic expectations for the efficacy of new drug combinations and inform the design of trials for new cancer therapeutics. DOI: http://dx.doi.org/10.7554/eLife.00747.001 eLife Sciences Publications, Ltd 2013-06-25 /pmc/articles/PMC3691570/ /pubmed/23805382 http://dx.doi.org/10.7554/eLife.00747 Text en Copyright © 2013, Bozic et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genomics and Evolutionary Biology
Bozic, Ivana
Reiter, Johannes G
Allen, Benjamin
Antal, Tibor
Chatterjee, Krishnendu
Shah, Preya
Moon, Yo Sup
Yaqubie, Amin
Kelly, Nicole
Le, Dung T
Lipson, Evan J
Chapman, Paul B
Diaz, Luis A
Vogelstein, Bert
Nowak, Martin A
Evolutionary dynamics of cancer in response to targeted combination therapy
title Evolutionary dynamics of cancer in response to targeted combination therapy
title_full Evolutionary dynamics of cancer in response to targeted combination therapy
title_fullStr Evolutionary dynamics of cancer in response to targeted combination therapy
title_full_unstemmed Evolutionary dynamics of cancer in response to targeted combination therapy
title_short Evolutionary dynamics of cancer in response to targeted combination therapy
title_sort evolutionary dynamics of cancer in response to targeted combination therapy
topic Genomics and Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691570/
https://www.ncbi.nlm.nih.gov/pubmed/23805382
http://dx.doi.org/10.7554/eLife.00747
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