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Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics
Immunotherapies, including cell-based therapies, targeting the tumor microenvironment (TME) result in variable and delayed responses. Thus, it has been difficult to gauge the efficacy of TME-directed therapies early after administration. We investigated a nano-radiomics approach (quantitative analys...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439308/ https://www.ncbi.nlm.nih.gov/pubmed/32832602 http://dx.doi.org/10.1126/sciadv.aba6156 |
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author | Devkota, Laxman Starosolski, Zbigniew Rivas, Charlotte H. Stupin, Igor Annapragada, Ananth Ghaghada, Ketan B. Parihar, Robin |
author_facet | Devkota, Laxman Starosolski, Zbigniew Rivas, Charlotte H. Stupin, Igor Annapragada, Ananth Ghaghada, Ketan B. Parihar, Robin |
author_sort | Devkota, Laxman |
collection | PubMed |
description | Immunotherapies, including cell-based therapies, targeting the tumor microenvironment (TME) result in variable and delayed responses. Thus, it has been difficult to gauge the efficacy of TME-directed therapies early after administration. We investigated a nano-radiomics approach (quantitative analysis of nanoparticle contrast–enhanced three-dimensional images) for detection of tumor response to cellular immunotherapy directed against myeloid-derived suppressor cells (MDSCs), a key component of TME. Animals bearing human MDSC-containing solid tumor xenografts received treatment with MDSC-targeting human natural killer (NK) cells and underwent nanoparticle contrast–enhanced computed tomography (CT) imaging. Whereas conventional CT-derived tumor metrics were unable to differentiate NK cell immunotherapy tumors from untreated tumors, nano-radiomics revealed texture-based features capable of differentiating treatment groups. Our study shows that TME-directed cellular immunotherapy causes subtle changes not effectively gauged by conventional imaging metrics but revealed by nano-radiomics. Our work provides a method for noninvasive assessment of TME-directed immunotherapy potentially applicable to numerous solid tumors. |
format | Online Article Text |
id | pubmed-7439308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74393082020-08-20 Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics Devkota, Laxman Starosolski, Zbigniew Rivas, Charlotte H. Stupin, Igor Annapragada, Ananth Ghaghada, Ketan B. Parihar, Robin Sci Adv Research Articles Immunotherapies, including cell-based therapies, targeting the tumor microenvironment (TME) result in variable and delayed responses. Thus, it has been difficult to gauge the efficacy of TME-directed therapies early after administration. We investigated a nano-radiomics approach (quantitative analysis of nanoparticle contrast–enhanced three-dimensional images) for detection of tumor response to cellular immunotherapy directed against myeloid-derived suppressor cells (MDSCs), a key component of TME. Animals bearing human MDSC-containing solid tumor xenografts received treatment with MDSC-targeting human natural killer (NK) cells and underwent nanoparticle contrast–enhanced computed tomography (CT) imaging. Whereas conventional CT-derived tumor metrics were unable to differentiate NK cell immunotherapy tumors from untreated tumors, nano-radiomics revealed texture-based features capable of differentiating treatment groups. Our study shows that TME-directed cellular immunotherapy causes subtle changes not effectively gauged by conventional imaging metrics but revealed by nano-radiomics. Our work provides a method for noninvasive assessment of TME-directed immunotherapy potentially applicable to numerous solid tumors. American Association for the Advancement of Science 2020-07-10 /pmc/articles/PMC7439308/ /pubmed/32832602 http://dx.doi.org/10.1126/sciadv.aba6156 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Devkota, Laxman Starosolski, Zbigniew Rivas, Charlotte H. Stupin, Igor Annapragada, Ananth Ghaghada, Ketan B. Parihar, Robin Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title | Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title_full | Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title_fullStr | Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title_full_unstemmed | Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title_short | Detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
title_sort | detection of response to tumor microenvironment–targeted cellular immunotherapy using nano-radiomics |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439308/ https://www.ncbi.nlm.nih.gov/pubmed/32832602 http://dx.doi.org/10.1126/sciadv.aba6156 |
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