Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms
Abstract Despite advances in targeted cancer therapy, the promise of precision medicine has been limited by resistance to these treatments. In this study, we propose a mathematical modelling framework incorporating cellular heterogeneity, genetic evolutionary dynamics, and non-genetic plasticity, ac...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Systems Biology and Applications |
| Online Access: | https://doi.org/10.1038/s41540-025-00547-5 |
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| _version_ | 1849399715025649664 |
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| author | Wei He Matthew D. McCoy Rebecca B. Riggins Robert A. Beckman Chen-Hsiang Yeang |
| author_facet | Wei He Matthew D. McCoy Rebecca B. Riggins Robert A. Beckman Chen-Hsiang Yeang |
| author_sort | Wei He |
| collection | DOAJ |
| description | Abstract Despite advances in targeted cancer therapy, the promise of precision medicine has been limited by resistance to these treatments. In this study, we propose a mathematical modelling framework incorporating cellular heterogeneity, genetic evolutionary dynamics, and non-genetic plasticity, accounting for both irreversible and reversible drug resistance. Previously we proposed Dynamic Precision Medicine (DPM), a personalized treatment strategy that designed individualized treatment sequences by simulations of irreversible genetic evolutionary dynamics in a heterogeneous tumor. Here we apply DPM to the joint model of reversible and irreversible drug resistance mechanisms, analyze the simulation results and compare the efficacy of various treatment strategies. The results indicate that this enhanced version of DPM significantly outperforms current personalized medicine treatment approaches. Our results provide insights into cancer treatment strategies for heterogeneous tumors with genetic evolutionary dynamics and non-genetic cellular plasticity, potentially leading to improvements in survival time for cancer patients. |
| format | Article |
| id | doaj-art-ba7f1fed92bb4c88a10e2cdd497dbc6a |
| institution | Kabale University |
| issn | 2056-7189 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Systems Biology and Applications |
| spelling | doaj-art-ba7f1fed92bb4c88a10e2cdd497dbc6a2025-08-20T03:38:15ZengNature Portfolionpj Systems Biology and Applications2056-71892025-07-0111111510.1038/s41540-025-00547-5Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanismsWei He0Matthew D. McCoy1Rebecca B. Riggins2Robert A. Beckman3Chen-Hsiang Yeang4Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical CenterInstitute of Statistical Science, Academia SinicaAbstract Despite advances in targeted cancer therapy, the promise of precision medicine has been limited by resistance to these treatments. In this study, we propose a mathematical modelling framework incorporating cellular heterogeneity, genetic evolutionary dynamics, and non-genetic plasticity, accounting for both irreversible and reversible drug resistance. Previously we proposed Dynamic Precision Medicine (DPM), a personalized treatment strategy that designed individualized treatment sequences by simulations of irreversible genetic evolutionary dynamics in a heterogeneous tumor. Here we apply DPM to the joint model of reversible and irreversible drug resistance mechanisms, analyze the simulation results and compare the efficacy of various treatment strategies. The results indicate that this enhanced version of DPM significantly outperforms current personalized medicine treatment approaches. Our results provide insights into cancer treatment strategies for heterogeneous tumors with genetic evolutionary dynamics and non-genetic cellular plasticity, potentially leading to improvements in survival time for cancer patients.https://doi.org/10.1038/s41540-025-00547-5 |
| spellingShingle | Wei He Matthew D. McCoy Rebecca B. Riggins Robert A. Beckman Chen-Hsiang Yeang Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms npj Systems Biology and Applications |
| title | Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| title_full | Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| title_fullStr | Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| title_full_unstemmed | Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| title_short | Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| title_sort | personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms |
| url | https://doi.org/10.1038/s41540-025-00547-5 |
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