Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors
Malignant tumor (cancer) is the leading cause of death globally and the annual cost of managing cancer is trillions of dollars. Although, there are established therapies including radiotherapy, chemotherapy and phototherapy for malignant tumors, the hypoxic environment of tumors and poor perfusion a...
| Published in: | Mathematics |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Online Access: | https://www.mdpi.com/2227-7390/10/13/2188 |
| _version_ | 1850324599397416960 |
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| author | Abdulkareem Afolabi Ibrahim Normah Maan Khairunadwa Jemon Afeez Abidemi |
| author_facet | Abdulkareem Afolabi Ibrahim Normah Maan Khairunadwa Jemon Afeez Abidemi |
| author_sort | Abdulkareem Afolabi Ibrahim |
| collection | DOAJ |
| container_title | Mathematics |
| description | Malignant tumor (cancer) is the leading cause of death globally and the annual cost of managing cancer is trillions of dollars. Although, there are established therapies including radiotherapy, chemotherapy and phototherapy for malignant tumors, the hypoxic environment of tumors and poor perfusion act as barriers to these therapies. Hyperthermia takes advantage of oxygen deficiency and irregular perfusion in the tumor environment to destroy malignant cells. Despite successes recorded with hyperthermia, there are concerns with the post-treatment condition of patients as well as the required thermal dose to prevent harm. The investigation of the dynamics of tumor-induced immune suppression with hyperthermia treatment using mathematical analysis and optimal control theory is potentially valuable in the development of hyperthermia treatment. The role of novel tumor-derived cytokines in counterattacking immune cells is considered in this study as a mechanism accounting for the aggressiveness of malignant tumors. Since biological processes are not instantaneous, a discrete time delay is used to model biological processes involved in tumor inhibitory mechanisms by secretion, the elaboration of suppressive cells, and effector cell differentiation to produce suppressive cells. Analytical results obtained using Lyapunov’s function indicate the conditions required for global stability of the tumor-present steady-state. A thermal optimal control strategy is pursued based on optimal control theory, and the best strategy to avoid adverse outcomes is obtained. We validate the analytical results numerically and demonstrate the impact of both inadequate and excessive heat on the dynamics of interactive cell functioning. |
| format | Article |
| id | doaj-art-b736cc2699f847ff82c1cc182db00a22 |
| institution | Directory of Open Access Journals |
| issn | 2227-7390 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-b736cc2699f847ff82c1cc182db00a222025-08-19T23:21:19ZengMDPI AGMathematics2227-73902022-06-011013218810.3390/math10132188Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant TumorsAbdulkareem Afolabi Ibrahim0Normah Maan1Khairunadwa Jemon2Afeez Abidemi3Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, MalaysiaDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, MalaysiaDepartment of Bioscience, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, MalaysiaDepartment of Mathematical Sciences, Federal University of Technology, Akure PMB 704, Ondo State, NigeriaMalignant tumor (cancer) is the leading cause of death globally and the annual cost of managing cancer is trillions of dollars. Although, there are established therapies including radiotherapy, chemotherapy and phototherapy for malignant tumors, the hypoxic environment of tumors and poor perfusion act as barriers to these therapies. Hyperthermia takes advantage of oxygen deficiency and irregular perfusion in the tumor environment to destroy malignant cells. Despite successes recorded with hyperthermia, there are concerns with the post-treatment condition of patients as well as the required thermal dose to prevent harm. The investigation of the dynamics of tumor-induced immune suppression with hyperthermia treatment using mathematical analysis and optimal control theory is potentially valuable in the development of hyperthermia treatment. The role of novel tumor-derived cytokines in counterattacking immune cells is considered in this study as a mechanism accounting for the aggressiveness of malignant tumors. Since biological processes are not instantaneous, a discrete time delay is used to model biological processes involved in tumor inhibitory mechanisms by secretion, the elaboration of suppressive cells, and effector cell differentiation to produce suppressive cells. Analytical results obtained using Lyapunov’s function indicate the conditions required for global stability of the tumor-present steady-state. A thermal optimal control strategy is pursued based on optimal control theory, and the best strategy to avoid adverse outcomes is obtained. We validate the analytical results numerically and demonstrate the impact of both inadequate and excessive heat on the dynamics of interactive cell functioning.https://www.mdpi.com/2227-7390/10/13/2188malignant tumorsdelay modelglobal stabilitythermal optimal controlhyperthermia |
| spellingShingle | Abdulkareem Afolabi Ibrahim Normah Maan Khairunadwa Jemon Afeez Abidemi Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors malignant tumors delay model global stability thermal optimal control hyperthermia |
| title | Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors |
| title_full | Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors |
| title_fullStr | Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors |
| title_full_unstemmed | Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors |
| title_short | Global Stability and Thermal Optimal Control Strategies for Hyperthermia Treatment of Malignant Tumors |
| title_sort | global stability and thermal optimal control strategies for hyperthermia treatment of malignant tumors |
| topic | malignant tumors delay model global stability thermal optimal control hyperthermia |
| url | https://www.mdpi.com/2227-7390/10/13/2188 |
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