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Independent Drug Action in Combination Therapy: Implications for Precision Oncology
Combination therapies are superior to monotherapy for many cancers. This advantage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904281/ https://www.ncbi.nlm.nih.gov/pubmed/34983746 http://dx.doi.org/10.1158/2159-8290.CD-21-0212 |
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author | Plana, Deborah Palmer, Adam C. Sorger, Peter K. |
author_facet | Plana, Deborah Palmer, Adam C. Sorger, Peter K. |
author_sort | Plana, Deborah |
collection | PubMed |
description | Combination therapies are superior to monotherapy for many cancers. This advantage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence that independent drug action, described in 1961, explains the efficacy of many practice-changing combination therapies: it provides populations of patients with heterogeneous drug sensitivities multiple chances of benefit from at least one drug. Understanding response heterogeneity could reveal predictive or pharmacodynamic biomarkers for more precise use of existing drugs and realize the benefits of additivity or synergy. SIGNIFICANCE: The model of independent drug action represents an effective means to predict the magnitude of benefit likely to be observed in new clinical trials for combination therapies. The “bet-hedging” strategy implicit in independent action suggests that individual patients often benefit from only a subset—sometimes one—of the drugs in a combination. Personalized, targeted combination therapy, consisting of agents likely to be active in a particular patient, will increase, perhaps substantially, the magnitude of therapeutic benefit. Precision approaches of this type will require a better understanding of variability in drug response and new biomarkers, which will entail preclinical research on diverse panels of cancer models rather than studying drug synergy in unusually sensitive models. |
format | Online Article Text |
id | pubmed-8904281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-89042812022-09-01 Independent Drug Action in Combination Therapy: Implications for Precision Oncology Plana, Deborah Palmer, Adam C. Sorger, Peter K. Cancer Discov Reviews Combination therapies are superior to monotherapy for many cancers. This advantage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence that independent drug action, described in 1961, explains the efficacy of many practice-changing combination therapies: it provides populations of patients with heterogeneous drug sensitivities multiple chances of benefit from at least one drug. Understanding response heterogeneity could reveal predictive or pharmacodynamic biomarkers for more precise use of existing drugs and realize the benefits of additivity or synergy. SIGNIFICANCE: The model of independent drug action represents an effective means to predict the magnitude of benefit likely to be observed in new clinical trials for combination therapies. The “bet-hedging” strategy implicit in independent action suggests that individual patients often benefit from only a subset—sometimes one—of the drugs in a combination. Personalized, targeted combination therapy, consisting of agents likely to be active in a particular patient, will increase, perhaps substantially, the magnitude of therapeutic benefit. Precision approaches of this type will require a better understanding of variability in drug response and new biomarkers, which will entail preclinical research on diverse panels of cancer models rather than studying drug synergy in unusually sensitive models. American Association for Cancer Research 2022-03-01 2022-03-08 /pmc/articles/PMC8904281/ /pubmed/34983746 http://dx.doi.org/10.1158/2159-8290.CD-21-0212 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Reviews Plana, Deborah Palmer, Adam C. Sorger, Peter K. Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title | Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title_full | Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title_fullStr | Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title_full_unstemmed | Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title_short | Independent Drug Action in Combination Therapy: Implications for Precision Oncology |
title_sort | independent drug action in combination therapy: implications for precision oncology |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904281/ https://www.ncbi.nlm.nih.gov/pubmed/34983746 http://dx.doi.org/10.1158/2159-8290.CD-21-0212 |
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