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Journal of Medical Signals and Sensors، جلد ۹، شماره ۱، صفحات ۱۵-۲۳

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عنوان انگلیسی An Agent-based Model for Investigating the Effect of Myeloid-Derived Suppressor Cells and its Depletion on Tumor Immune Surveillance
چکیده انگلیسی مقاله Purpose: To predict the behavior of biological systems, mathematical models of biological systems have been shown to be useful. In particular, mathematical models of tumor-immune system interactions have demonstrated promising results in prediction of different behaviors of tumor against the immune system. Materials and Methods: This study aimed at the introduction of a new model of tumor-immune system interaction, which includes tumor and immune cells as well as myeloid-derived suppressor cells (MDSCs). MDSCs are immune suppressor cells that help the tumor cells to escape the immune system. The structure of this model is agent-based which makes possible to investigate each component as a separate agent. Moreover, in this model, the effect of low dose 5-fluorouracil (5-FU) on MDSCs depletion was considered. Results: Based on the findings of this study, MDSCs had suppressive effect on increment of immune cell number which consequently result in tumor cells escape the immune cells. It has also been demonstrated that low-dose 5-FU could help immune system eliminate the tumor cells through MDSCs depletion. Conclusions: Using this new agent-based model, multiple injection of low-dose 5-FU could eliminate MDSCs and therefore might have the potential to be considered in treatment of cancers.
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نویسندگان مقاله | Armin Allahverdy


| Alireza Khorrami Moghaddam


| Sarah Rahbar


| Sadjad Shafiekhani


| Hamid Reza Mirzaie


| Saeid Amanpour


| Yasaman Etemadi


| Jamshid Hadjati


| Amir Homayoun Jafari



نشانی اینترنتی http://jmss.mui.ac.ir/index.php/jmss/article/view/459
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/217/article-217-1955992.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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