Ex Vivo-Activated MHC-Unrestricted Immune Effectors for Cancer Adoptive Immunotherapy
- Авторы: Leuci V.1, Mesiano G.2, Gammaitoni L.3, Todorovic M.4, Giraudo L.5, Carnevale-Schianca F.6, Aglietta M.7, Sangiolo D.8
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Учреждения:
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- Выпуск: Том 14, № 2 (2014)
- Страницы: 211-222
- Раздел: Oncology
- URL: https://filvestnik.nvsu.ru/1871-5206/article/view/695040
- DOI: https://doi.org/10.2174/18715206113136660371
- ID: 695040
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Аннотация
Adoptive immunotherapy is considered a promising strategy for the treatment of metastatic tumors and current research efforts are directed to define the optimal approach and facilitate the transferability from preclinical to clinical settings. Among several approaches it is possible to schematically distinguish strategies based on either MHC-restricted or MHC-unrestricted immune effectors. The first are mainly based on the infusion of tumor-specific T lymphocytes capable of recognizing determined MHC-restricted tumor associated antigens (TAA) through their T cell receptor. MHC-unrestricted approaches do not target specific tumor associated antigens and are mainly mediated by effectors of the innate immune system, like natural killer (NK) cells or NKT cells, first barrier against pathogens and tumorigenesis processes, or by ex vivo activated lymphocytes like cytokine-induced killer (CIK) cells. MHC-unrestricted effectors are usually more abundant than TAA-specific precursors and easier to expand. Furthermore their activity is not restricted to precise HLAhaplotypes, not limited to a single tumor histotype and could overcome downregulation of MHC molecules operated by tumor cells as immune escape mechanism. In this review we will discuss the main cancer immunotherapy strategies based on MHC-unrestricted immune effectors. The topic will be approached from the angle of ex vivo expansion protocols in clinical prospective, as well as potential approaches to favorably modulate their functions.
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Об авторах
Valeria Leuci
aff1
Email: info@benthamscience.net
Giulia Mesiano
aff2
Email: info@benthamscience.net
Loretta Gammaitoni
aff3
Email: info@benthamscience.net
Maja Todorovic
aff4
Email: info@benthamscience.net
Lidia Giraudo
aff5
Email: info@benthamscience.net
Fabrizio Carnevale-Schianca
aff6
Email: info@benthamscience.net
Massimo Aglietta
aff7
Email: info@benthamscience.net
Dario Sangiolo
aff8
Email: info@benthamscience.net
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