Optimal control of effector-tumor-normal cells dynamics in presence of adoptive immunotherapy
- Authors
- Das, Anusmita; Dehingia, Kaushik; Sharmah, Hemanta Kumar; Park, Choonkil; Lee, Jung Rye; Sadri, Khadijeh; Hosseini, Kamyar; Salahshour, Soheil
- Issue Date
- Jun-2021
- Publisher
- AMER INST MATHEMATICAL SCIENCES-AIMS
- Keywords
- mathematical model of cancer; adoptive immunotherapy; stability analysis; optimal control problem; quadratic control principle
- Citation
- AIMS MATHEMATICS, v.6, no.9, pp.9813 - 9834
- Indexed
- SCIE
SCOPUS
- Journal Title
- AIMS MATHEMATICS
- Volume
- 6
- Number
- 9
- Start Page
- 9813
- End Page
- 9834
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141760
- DOI
- 10.3934/math.2021570
- ISSN
- 2473-6988
- Abstract
- Interactive dynamics between effector-tumor-normal cells in a mathematical model related to the growth of cancer in presence of immunotherapy has been discussed in the present paper. Adoptive immunotherapy has been added to the original model proposed by De Pillis et al. [1]. This has been done to get rid of the tumor cells. Different dynamical behaviours of the modified systems have been studied. The existence of the solution and global stability conditions of the healthy equilibrium point is addressed. Corresponding optimal control problem has been formulated to find the best possible way of administration of adoptive immunotherapy by which cancer cells can be eradicated without putting the patient at any health-related risk. To achieve this purpose, the quadratic control principle has been adopted. The dynamical behaviour of the effector-tumor-normal cells model with control is also numerically verified and demonstrated. Through numerical simulations, it is formally shown that the optimal regimens eradicate the tumor load in less time without putting the patientso health at any risk.
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