{"title":"模拟去分化对结直肠癌生长和化学免疫治疗反应的影响。","authors":"Yuman Wang, Mengfan Tan, Da Zhou","doi":"10.1007/s11538-025-01496-0","DOIUrl":null,"url":null,"abstract":"<p><p>Tumor cell heterogeneity poses a significant challenge in the treatment of colorectal cancer, with dedifferentiation being a key factor in the emergence and maintenance of such heterogeneity. Does dedifferentiation necessarily promote colorectal cancer growth? What are its regulatory mechanisms in treatment response? These critical questions remain insufficiently understood. To investigate this issue, we develop a cancer cell population dynamics model. Our findings reveal that dedifferentiation impacts cancer growth in complex and varied patterns. Specifically, dedifferentiation can either facilitate or hinder cancer growth, with the outcomes depending on the dedifferentiation probability and the growth rates of different types of tumor cells. Subsequently, we consider the implications of dedifferentiation for various treatment strategies. Chemotherapy, which simultaneously promotes cell death and induces dedifferentiation, shows variable efficacy, potentially leading to tumor shrinkage or growth. In contrast, the combination of chemotherapy and high-intensity immunotherapy significantly enhances therapeutic outcomes, achieving more stable tumor control. These findings underscore the importance of incorporating dedifferentiation dynamics into colorectal cancer growth models and treatment designs, highlighting the advantages of combination therapy in overcoming the limitations of monotherapy.</p>","PeriodicalId":9372,"journal":{"name":"Bulletin of Mathematical Biology","volume":"87 9","pages":"113"},"PeriodicalIF":2.2000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling the Impact of Dedifferentiation on Colorectal Cancer Growth and Chemo-Immunotherapy Response.\",\"authors\":\"Yuman Wang, Mengfan Tan, Da Zhou\",\"doi\":\"10.1007/s11538-025-01496-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Tumor cell heterogeneity poses a significant challenge in the treatment of colorectal cancer, with dedifferentiation being a key factor in the emergence and maintenance of such heterogeneity. Does dedifferentiation necessarily promote colorectal cancer growth? What are its regulatory mechanisms in treatment response? These critical questions remain insufficiently understood. To investigate this issue, we develop a cancer cell population dynamics model. Our findings reveal that dedifferentiation impacts cancer growth in complex and varied patterns. Specifically, dedifferentiation can either facilitate or hinder cancer growth, with the outcomes depending on the dedifferentiation probability and the growth rates of different types of tumor cells. Subsequently, we consider the implications of dedifferentiation for various treatment strategies. Chemotherapy, which simultaneously promotes cell death and induces dedifferentiation, shows variable efficacy, potentially leading to tumor shrinkage or growth. In contrast, the combination of chemotherapy and high-intensity immunotherapy significantly enhances therapeutic outcomes, achieving more stable tumor control. These findings underscore the importance of incorporating dedifferentiation dynamics into colorectal cancer growth models and treatment designs, highlighting the advantages of combination therapy in overcoming the limitations of monotherapy.</p>\",\"PeriodicalId\":9372,\"journal\":{\"name\":\"Bulletin of Mathematical Biology\",\"volume\":\"87 9\",\"pages\":\"113\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Mathematical Biology\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s11538-025-01496-0\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Mathematical Biology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11538-025-01496-0","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Modeling the Impact of Dedifferentiation on Colorectal Cancer Growth and Chemo-Immunotherapy Response.
Tumor cell heterogeneity poses a significant challenge in the treatment of colorectal cancer, with dedifferentiation being a key factor in the emergence and maintenance of such heterogeneity. Does dedifferentiation necessarily promote colorectal cancer growth? What are its regulatory mechanisms in treatment response? These critical questions remain insufficiently understood. To investigate this issue, we develop a cancer cell population dynamics model. Our findings reveal that dedifferentiation impacts cancer growth in complex and varied patterns. Specifically, dedifferentiation can either facilitate or hinder cancer growth, with the outcomes depending on the dedifferentiation probability and the growth rates of different types of tumor cells. Subsequently, we consider the implications of dedifferentiation for various treatment strategies. Chemotherapy, which simultaneously promotes cell death and induces dedifferentiation, shows variable efficacy, potentially leading to tumor shrinkage or growth. In contrast, the combination of chemotherapy and high-intensity immunotherapy significantly enhances therapeutic outcomes, achieving more stable tumor control. These findings underscore the importance of incorporating dedifferentiation dynamics into colorectal cancer growth models and treatment designs, highlighting the advantages of combination therapy in overcoming the limitations of monotherapy.
期刊介绍:
The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including:
Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations
Research in mathematical biology education
Reviews
Commentaries
Perspectives, and contributions that discuss issues important to the profession
All contributions are peer-reviewed.