Cargando…

Modelling the tumor immune microenvironment for precision immunotherapy

The complexity of the cellular and acellular players within the tumor microenvironment (TME) allows for significant variation in TME constitution and role in anticancer treatment response. Spatial alterations in populations of tumor cells and adjacent non‐malignant cells, including endothelial cells...

Descripción completa

Detalles Bibliográficos
Autores principales: Mackenzie, Nathan J, Nicholls, Clarissa, Templeton, Abby R, Perera, Mahasha PJ, Jeffery, Penny L, Zimmermann, Kate, Kulasinghe, Arutha, Kenna, Tony J, Vela, Ian, Williams, Elizabeth D, Thomas, Patrick B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234475/
https://www.ncbi.nlm.nih.gov/pubmed/35782339
http://dx.doi.org/10.1002/cti2.1400
_version_ 1784736084598456320
author Mackenzie, Nathan J
Nicholls, Clarissa
Templeton, Abby R
Perera, Mahasha PJ
Jeffery, Penny L
Zimmermann, Kate
Kulasinghe, Arutha
Kenna, Tony J
Vela, Ian
Williams, Elizabeth D
Thomas, Patrick B
author_facet Mackenzie, Nathan J
Nicholls, Clarissa
Templeton, Abby R
Perera, Mahasha PJ
Jeffery, Penny L
Zimmermann, Kate
Kulasinghe, Arutha
Kenna, Tony J
Vela, Ian
Williams, Elizabeth D
Thomas, Patrick B
author_sort Mackenzie, Nathan J
collection PubMed
description The complexity of the cellular and acellular players within the tumor microenvironment (TME) allows for significant variation in TME constitution and role in anticancer treatment response. Spatial alterations in populations of tumor cells and adjacent non‐malignant cells, including endothelial cells, fibroblasts and tissue‐infiltrating immune cells, often have a major role in determining disease progression and treatment response in cancer. Many current standard systemic antineoplastic treatments target the cancer cells and could be further refined to directly target commonly dysregulated cell populations of the TME. Recent developments in immuno‐oncology and bioengineering have created an attractive potential to model these complexities at the level of the individual patient. These developments, along with the increasing momentum in precision medicine research and application, have catalysed exciting new discoveries in understanding drug–TME interactions, target identification, and improved efficacy of therapies. While rapid progress has been made, there are still many challenges to overcome in the development of accurate in vitro, in vivo and ex vivo models incorporating the cellular interactions that take place in the TME. In this review, we describe how advances in immuno‐oncology and patient‐derived models, such as patient‐derived organoids and explant cultures, have enhanced the landscape of personalised immunotherapy prediction and treatment of solid organ malignancies. We describe and compare different immunological targets and perspectives on two‐dimensional and three‐dimensional modelling approaches that may be used to better rationalise immunotherapy use, ultimately providing a knowledge base for the integration of the autologous TME into these predictive models.
format Online
Article
Text
id pubmed-9234475
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-92344752022-06-30 Modelling the tumor immune microenvironment for precision immunotherapy Mackenzie, Nathan J Nicholls, Clarissa Templeton, Abby R Perera, Mahasha PJ Jeffery, Penny L Zimmermann, Kate Kulasinghe, Arutha Kenna, Tony J Vela, Ian Williams, Elizabeth D Thomas, Patrick B Clin Transl Immunology Reviews The complexity of the cellular and acellular players within the tumor microenvironment (TME) allows for significant variation in TME constitution and role in anticancer treatment response. Spatial alterations in populations of tumor cells and adjacent non‐malignant cells, including endothelial cells, fibroblasts and tissue‐infiltrating immune cells, often have a major role in determining disease progression and treatment response in cancer. Many current standard systemic antineoplastic treatments target the cancer cells and could be further refined to directly target commonly dysregulated cell populations of the TME. Recent developments in immuno‐oncology and bioengineering have created an attractive potential to model these complexities at the level of the individual patient. These developments, along with the increasing momentum in precision medicine research and application, have catalysed exciting new discoveries in understanding drug–TME interactions, target identification, and improved efficacy of therapies. While rapid progress has been made, there are still many challenges to overcome in the development of accurate in vitro, in vivo and ex vivo models incorporating the cellular interactions that take place in the TME. In this review, we describe how advances in immuno‐oncology and patient‐derived models, such as patient‐derived organoids and explant cultures, have enhanced the landscape of personalised immunotherapy prediction and treatment of solid organ malignancies. We describe and compare different immunological targets and perspectives on two‐dimensional and three‐dimensional modelling approaches that may be used to better rationalise immunotherapy use, ultimately providing a knowledge base for the integration of the autologous TME into these predictive models. John Wiley and Sons Inc. 2022-06-26 /pmc/articles/PMC9234475/ /pubmed/35782339 http://dx.doi.org/10.1002/cti2.1400 Text en © 2022 The Authors. Clinical & Translational Immunology published by John Wiley & Sons Australia, Ltd on behalf of Australian and New Zealand Society for Immunology, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Mackenzie, Nathan J
Nicholls, Clarissa
Templeton, Abby R
Perera, Mahasha PJ
Jeffery, Penny L
Zimmermann, Kate
Kulasinghe, Arutha
Kenna, Tony J
Vela, Ian
Williams, Elizabeth D
Thomas, Patrick B
Modelling the tumor immune microenvironment for precision immunotherapy
title Modelling the tumor immune microenvironment for precision immunotherapy
title_full Modelling the tumor immune microenvironment for precision immunotherapy
title_fullStr Modelling the tumor immune microenvironment for precision immunotherapy
title_full_unstemmed Modelling the tumor immune microenvironment for precision immunotherapy
title_short Modelling the tumor immune microenvironment for precision immunotherapy
title_sort modelling the tumor immune microenvironment for precision immunotherapy
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234475/
https://www.ncbi.nlm.nih.gov/pubmed/35782339
http://dx.doi.org/10.1002/cti2.1400
work_keys_str_mv AT mackenzienathanj modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT nichollsclarissa modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT templetonabbyr modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT pereramahashapj modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT jefferypennyl modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT zimmermannkate modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT kulasinghearutha modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT kennatonyj modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT velaian modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT williamselizabethd modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy
AT thomaspatrickb modellingthetumorimmunemicroenvironmentforprecisionimmunotherapy