Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments

Tina Ghodsi Asnaashari, Young Hwan Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Despite great advances in modeling and cancer therapy using optimal control theory, tumor heterogeneity and drug resistance are major obstacles in cancer treatments. Since recent biological studies demonstrated the evidence of tumor heterogeneity and assessed potential biological and clinical implications, tumor heterogeneity should be taken into account in the optimal control problem to improve treatment strategies. Here, first we study the effects of two different treatment strategies (i.e., symmetric and asymmetric) in a minimal two-population model to examine the long-term effects of these treatment methods on the system. Second, by considering tumor adaptation to treatment as a factor of the cost function, the optimal treatment strategy is derived. Numerical examples show that optimal treatment decreases tumor burden for the long-term by decreasing rate of tumor adaptation over time.

Original languageEnglish (US)
Title of host publicationMathematical and Computational Oncology - Third International Symposium, ISMCO 2021, Proceedings
EditorsGeorge Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie
PublisherSpringer Science and Business Media Deutschland GmbH
Pages49-60
Number of pages12
ISBN (Print)9783030912406
DOIs
StatePublished - 2021
Externally publishedYes
Event3rd International Symposium on Mathematical and Computational Oncology, ISMCO 2021 - Virtual, Online
Duration: Oct 11 2021Oct 13 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13060 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Symposium on Mathematical and Computational Oncology, ISMCO 2021
CityVirtual, Online
Period10/11/2110/13/21

Keywords

  • Cancer treatment
  • Optimal control
  • Tumor heterogeneity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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