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Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies
Despite the significant contributions of immunocompetent mouse models to the development and assessment of cancer immunotherapies, they inadequately represent the genetic and biological complexity of corresponding human cancers. Immunocompromised mice reconstituted with a human immune system (HIS) a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423639/ https://www.ncbi.nlm.nih.gov/pubmed/33830275 http://dx.doi.org/10.1007/s00262-021-02897-5 |
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author | Bareham, Bethany Georgakopoulos, Nikitas Matas-Céspedes, Alba Curran, Michelle Saeb-Parsy, Kourosh |
author_facet | Bareham, Bethany Georgakopoulos, Nikitas Matas-Céspedes, Alba Curran, Michelle Saeb-Parsy, Kourosh |
author_sort | Bareham, Bethany |
collection | PubMed |
description | Despite the significant contributions of immunocompetent mouse models to the development and assessment of cancer immunotherapies, they inadequately represent the genetic and biological complexity of corresponding human cancers. Immunocompromised mice reconstituted with a human immune system (HIS) and engrafted with patient-derived tumor xenografts are a promising novel preclinical model for the study of human tumor-immune interactions. Whilst overcoming limitations of immunocompetent models, HIS-tumor models often rely on reconstitution with allogeneic immune cells, making it difficult to distinguish between anti-tumor and alloantigen responses. Models that comprise of autologous human tumor and human immune cells provide a platform that is more representative of the patient immune-tumor interaction. However, limited access to autologous tissues, short experimental windows, and poor retention of tumor microenvironment and tumor infiltrating lymphocyte components are major challenges affecting the establishment and application of autologous models. This review outlines existing preclinical murine models for the study of immuno-oncology, and highlights innovations that can be applied to improve the feasibility and efficacy of autologous models. |
format | Online Article Text |
id | pubmed-8423639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-84236392021-09-09 Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies Bareham, Bethany Georgakopoulos, Nikitas Matas-Céspedes, Alba Curran, Michelle Saeb-Parsy, Kourosh Cancer Immunol Immunother Review Despite the significant contributions of immunocompetent mouse models to the development and assessment of cancer immunotherapies, they inadequately represent the genetic and biological complexity of corresponding human cancers. Immunocompromised mice reconstituted with a human immune system (HIS) and engrafted with patient-derived tumor xenografts are a promising novel preclinical model for the study of human tumor-immune interactions. Whilst overcoming limitations of immunocompetent models, HIS-tumor models often rely on reconstitution with allogeneic immune cells, making it difficult to distinguish between anti-tumor and alloantigen responses. Models that comprise of autologous human tumor and human immune cells provide a platform that is more representative of the patient immune-tumor interaction. However, limited access to autologous tissues, short experimental windows, and poor retention of tumor microenvironment and tumor infiltrating lymphocyte components are major challenges affecting the establishment and application of autologous models. This review outlines existing preclinical murine models for the study of immuno-oncology, and highlights innovations that can be applied to improve the feasibility and efficacy of autologous models. Springer Berlin Heidelberg 2021-04-08 2021 /pmc/articles/PMC8423639/ /pubmed/33830275 http://dx.doi.org/10.1007/s00262-021-02897-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Bareham, Bethany Georgakopoulos, Nikitas Matas-Céspedes, Alba Curran, Michelle Saeb-Parsy, Kourosh Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title | Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title_full | Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title_fullStr | Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title_full_unstemmed | Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title_short | Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
title_sort | modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423639/ https://www.ncbi.nlm.nih.gov/pubmed/33830275 http://dx.doi.org/10.1007/s00262-021-02897-5 |
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