{"title":"用溶瘤病毒靶向干细胞:一种数学建模方法。","authors":"Sana Jahedi, Kamran Kaveh, James Watmough","doi":"10.3934/mbe.2025090","DOIUrl":null,"url":null,"abstract":"<p><p>Intratumoural epigenetic heterogeneity, which affects the outcome of many cancer treatments, results from stem cell-differentiated cell hierarchy. Cancer stem cells, also known as tumour-initiating cells, are a pluripotent subpopulation of tumour cells capable of creating a tumour clone through self-renewal and differentiation. Oncolytic viral therapy is a category of cancer therapeutics with high specificity in targeting cancer cells while leaving normal cells unharmed. More recently, oncolytic viruses have been developed that target tumour initiating cells with some promising results. The question is what values for virus infectivity and stem cell specificity result in the best clinical outcome. To address this question, we model interactions between uninfected and infected cancer cells, within a stem cell-differentiated cell hierarchy, during oncolytic viral therapy. We calculate the basic reproduction number and use it to constrain the infectivity rates of initiating and differentiated cancer cells. Long-term tumour shrinkage is observable when this constraint is met; otherwise, treatment fails. Our results suggest that stem cell specificity of an oncolytic virus depends both on the average infectivity and mitotic rates of infected cells. There is a positive correlation between the average infectivity rate and stem cell specificity for nonmitotic infected cells: when average infectivity is high, an oncolytic virus with higher stem cell specificity leads to smaller tumours. In contrast, when average infectivity is low, the minimum tumour size is obtained when an oncolytic virus with higher potency targeting differentiated cells is used. For the perfect stem cell targeting regimen, we derive the condition that leads to the minimum tumour size.</p>","PeriodicalId":49870,"journal":{"name":"Mathematical Biosciences and Engineering","volume":"22 9","pages":"2458-2485"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Targeting stem cells with oncolytic viruses: a mathematical modelling approach.\",\"authors\":\"Sana Jahedi, Kamran Kaveh, James Watmough\",\"doi\":\"10.3934/mbe.2025090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Intratumoural epigenetic heterogeneity, which affects the outcome of many cancer treatments, results from stem cell-differentiated cell hierarchy. Cancer stem cells, also known as tumour-initiating cells, are a pluripotent subpopulation of tumour cells capable of creating a tumour clone through self-renewal and differentiation. Oncolytic viral therapy is a category of cancer therapeutics with high specificity in targeting cancer cells while leaving normal cells unharmed. More recently, oncolytic viruses have been developed that target tumour initiating cells with some promising results. The question is what values for virus infectivity and stem cell specificity result in the best clinical outcome. To address this question, we model interactions between uninfected and infected cancer cells, within a stem cell-differentiated cell hierarchy, during oncolytic viral therapy. We calculate the basic reproduction number and use it to constrain the infectivity rates of initiating and differentiated cancer cells. Long-term tumour shrinkage is observable when this constraint is met; otherwise, treatment fails. Our results suggest that stem cell specificity of an oncolytic virus depends both on the average infectivity and mitotic rates of infected cells. There is a positive correlation between the average infectivity rate and stem cell specificity for nonmitotic infected cells: when average infectivity is high, an oncolytic virus with higher stem cell specificity leads to smaller tumours. In contrast, when average infectivity is low, the minimum tumour size is obtained when an oncolytic virus with higher potency targeting differentiated cells is used. For the perfect stem cell targeting regimen, we derive the condition that leads to the minimum tumour size.</p>\",\"PeriodicalId\":49870,\"journal\":{\"name\":\"Mathematical Biosciences and Engineering\",\"volume\":\"22 9\",\"pages\":\"2458-2485\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Biosciences and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3934/mbe.2025090\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Biosciences and Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3934/mbe.2025090","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
Targeting stem cells with oncolytic viruses: a mathematical modelling approach.
Intratumoural epigenetic heterogeneity, which affects the outcome of many cancer treatments, results from stem cell-differentiated cell hierarchy. Cancer stem cells, also known as tumour-initiating cells, are a pluripotent subpopulation of tumour cells capable of creating a tumour clone through self-renewal and differentiation. Oncolytic viral therapy is a category of cancer therapeutics with high specificity in targeting cancer cells while leaving normal cells unharmed. More recently, oncolytic viruses have been developed that target tumour initiating cells with some promising results. The question is what values for virus infectivity and stem cell specificity result in the best clinical outcome. To address this question, we model interactions between uninfected and infected cancer cells, within a stem cell-differentiated cell hierarchy, during oncolytic viral therapy. We calculate the basic reproduction number and use it to constrain the infectivity rates of initiating and differentiated cancer cells. Long-term tumour shrinkage is observable when this constraint is met; otherwise, treatment fails. Our results suggest that stem cell specificity of an oncolytic virus depends both on the average infectivity and mitotic rates of infected cells. There is a positive correlation between the average infectivity rate and stem cell specificity for nonmitotic infected cells: when average infectivity is high, an oncolytic virus with higher stem cell specificity leads to smaller tumours. In contrast, when average infectivity is low, the minimum tumour size is obtained when an oncolytic virus with higher potency targeting differentiated cells is used. For the perfect stem cell targeting regimen, we derive the condition that leads to the minimum tumour size.
期刊介绍:
Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing.
MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).