Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network
Bortezomib and oncolytic virotherapy are two emerging targeted cancer therapies. Bortezomib, a proteasome inhibitor, disrupts protein degradation in cells, leading to the accumulation of unfolded proteins that induce apoptosis. On the other hand, virotherapy uses genetically modified oncolytic virus...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-02-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024173?viewType=HTML |
| _version_ | 1797263768970854400 |
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| author | Donggu Lee Aurelio A. de los Reyes V Yangjin Kim |
| author_facet | Donggu Lee Aurelio A. de los Reyes V Yangjin Kim |
| author_sort | Donggu Lee |
| collection | DOAJ |
| description | Bortezomib and oncolytic virotherapy are two emerging targeted cancer therapies. Bortezomib, a proteasome inhibitor, disrupts protein degradation in cells, leading to the accumulation of unfolded proteins that induce apoptosis. On the other hand, virotherapy uses genetically modified oncolytic viruses (OVs) to infect cancer cells, trigger cell lysis, and activate anti-tumor response. Despite progress in cancer treatment, identifying administration protocols for therapeutic agents remains a significant concern, aiming to strike a balance between efficacy, minimizing toxicity, and administrative costs. In this work, optimal control theory was employed to design a cost-effective and efficient co-administration protocols for bortezomib and OVs that could significantly diminish the population of cancer cells via the cell death program with the NFKB-BAX-RIP1 signaling network. Both linear and quadratic control strategies were explored to obtain practical treatment approaches by adapting necroptosis protocols to efficient cell death programs. Our findings demonstrated that a combination therapy commencing with the administration of OVs followed by bortezomib infusions yields an effective tumor-killing outcome. These results could provide valuable guidance for the development of clinical administration protocols in cancer treatment. |
| first_indexed | 2024-04-25T00:18:16Z |
| format | Article |
| id | doaj.art-e761134ef48f4982a27d941615437e04 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-25T00:18:16Z |
| publishDate | 2024-02-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-e761134ef48f4982a27d941615437e042024-03-13T01:15:48ZengAIMS PressMathematical Biosciences and Engineering1551-00182024-02-012133876390910.3934/mbe.2024173Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling networkDonggu Lee 0Aurelio A. de los Reyes V1Yangjin Kim21. Department of Mathematics, Konkuk University, Seoul, Republic of Korea2. Institute of Mathematics, University of the Philippines Diliman, Quezon City 1101, Philippines 3. Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon 34126, Republic of Korea1. Department of Mathematics, Konkuk University, Seoul, Republic of KoreaBortezomib and oncolytic virotherapy are two emerging targeted cancer therapies. Bortezomib, a proteasome inhibitor, disrupts protein degradation in cells, leading to the accumulation of unfolded proteins that induce apoptosis. On the other hand, virotherapy uses genetically modified oncolytic viruses (OVs) to infect cancer cells, trigger cell lysis, and activate anti-tumor response. Despite progress in cancer treatment, identifying administration protocols for therapeutic agents remains a significant concern, aiming to strike a balance between efficacy, minimizing toxicity, and administrative costs. In this work, optimal control theory was employed to design a cost-effective and efficient co-administration protocols for bortezomib and OVs that could significantly diminish the population of cancer cells via the cell death program with the NFKB-BAX-RIP1 signaling network. Both linear and quadratic control strategies were explored to obtain practical treatment approaches by adapting necroptosis protocols to efficient cell death programs. Our findings demonstrated that a combination therapy commencing with the administration of OVs followed by bortezomib infusions yields an effective tumor-killing outcome. These results could provide valuable guidance for the development of clinical administration protocols in cancer treatment.https://www.aimspress.com/article/doi/10.3934/mbe.2024173?viewType=HTMLoncolytic virusbortezomibmathematical modeloptimal control theory |
| spellingShingle | Donggu Lee Aurelio A. de los Reyes V Yangjin Kim Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network Mathematical Biosciences and Engineering oncolytic virus bortezomib mathematical model optimal control theory |
| title | Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network |
| title_full | Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network |
| title_fullStr | Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network |
| title_full_unstemmed | Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network |
| title_short | Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network |
| title_sort | optimal strategies of oncolytic virus bortezomib therapy via the apoptotic necroptotic and oncolysis signaling network |
| topic | oncolytic virus bortezomib mathematical model optimal control theory |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2024173?viewType=HTML |
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