Competition between cancer cells and T cells under immunotherapy: a structured population approach
| Autor: | Marcello Edoardo Delitala, Tommaso Lorenzi, Matteo Melensi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
education.field_of_study
lcsh:T58.5-58.64 lcsh:Information technology medicine.medical_treatment Repertoire animal diseases Population food and beverages chemical and pharmacologic phenomena Immunotherapy Immunological memory Biology biochemical phenomena metabolism and nutrition Evasion (ethics) Immune system Antigen Immunology Cancer cell medicine bacteria education |
| Zdroj: | ITM Web of Conferences, Vol 5, p 00005 (2015) |
| ISSN: | 2271-2097 |
| Popis: | T cells are key players in the immune action against the invasion of can- cer cells. During an immune response, antigen-specific T cells dynamically sculpt the antigenic distribution of cancer cells, and cancer cells concurrently shape the repertoire of antigen-specific T cells. The succession of these reciprocal selective sweeps can re- sult in "chase-and-escape" dynamics, and lead to immune evasion. It has been proposed that immune evasion can be countered by immunotherapy strategies aimed at regulating the immune response. In this work, we present a mathematical model of the compe- tition between cancer cells and T cells under immunotherapy. We show that effective immunotherapy protocols can be designed by using therapeutic agents that boost T-cell proliferation in combination with boosters of immune memory. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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