Mathematical modeling of cyclic treatments of chronic myeloid leukemia

Cyclic treatmentstrategies in Chronic Myeloid Leukemia (CML) are characterized byalternating applications of two (or more) different drugs, given oneat a time. One of the main causes for treatment failure in CML is thegeneration of drug resistance by mutations of cancerous cells. We usemathematical...

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Main Author: Natalia L. Komarova
Format: Article
Language:English
Published: AIMS Press 2011-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.289
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author Natalia L. Komarova
author_facet Natalia L. Komarova
author_sort Natalia L. Komarova
collection DOAJ
description Cyclic treatmentstrategies in Chronic Myeloid Leukemia (CML) are characterized byalternating applications of two (or more) different drugs, given oneat a time. One of the main causes for treatment failure in CML is thegeneration of drug resistance by mutations of cancerous cells. We usemathematical methods to develop general guidelines on optimal cyclictreatment scheduling, with the aim of minimizing the resistancegeneration. We define a condition on the drugs' potencies which allowsfor a relatively successful application of cyclic therapies. We findthat the best strategy is to start with the stronger drug, but uselonger cycle durations for the weaker drug. We further investigate thesituation where a degree of cross-resistance is present, such thatcertain mutations cause cells to become resistant to both drugssimultaneously.
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record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-b4d2e714c6a345069b2845dfe368d17b2025-01-24T02:01:39ZengAIMS PressMathematical Biosciences and Engineering1551-00182011-03-018228930610.3934/mbe.2011.8.289Mathematical modeling of cyclic treatments of chronic myeloid leukemiaNatalia L. Komarova0Department of Mathematics, University of California Irvine, Irvine CA 92697Cyclic treatmentstrategies in Chronic Myeloid Leukemia (CML) are characterized byalternating applications of two (or more) different drugs, given oneat a time. One of the main causes for treatment failure in CML is thegeneration of drug resistance by mutations of cancerous cells. We usemathematical methods to develop general guidelines on optimal cyclictreatment scheduling, with the aim of minimizing the resistancegeneration. We define a condition on the drugs' potencies which allowsfor a relatively successful application of cyclic therapies. We findthat the best strategy is to start with the stronger drug, but uselonger cycle durations for the weaker drug. We further investigate thesituation where a degree of cross-resistance is present, such thatcertain mutations cause cells to become resistant to both drugssimultaneously.https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.289the worst drug rulecmlmathematical modeling of cancerdrugs resistancecross-resistance.
spellingShingle Natalia L. Komarova
Mathematical modeling of cyclic treatments of chronic myeloid leukemia
Mathematical Biosciences and Engineering
the worst drug rule
cml
mathematical modeling of cancer
drugs resistance
cross-resistance.
title Mathematical modeling of cyclic treatments of chronic myeloid leukemia
title_full Mathematical modeling of cyclic treatments of chronic myeloid leukemia
title_fullStr Mathematical modeling of cyclic treatments of chronic myeloid leukemia
title_full_unstemmed Mathematical modeling of cyclic treatments of chronic myeloid leukemia
title_short Mathematical modeling of cyclic treatments of chronic myeloid leukemia
title_sort mathematical modeling of cyclic treatments of chronic myeloid leukemia
topic the worst drug rule
cml
mathematical modeling of cancer
drugs resistance
cross-resistance.
url https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.289
work_keys_str_mv AT natalialkomarova mathematicalmodelingofcyclictreatmentsofchronicmyeloidleukemia