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MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy
BACKGROUND: Immune checkpoint inhibitors, the most widespread class of immunotherapies, have demonstrated unique response patterns that are not always adequately captured by traditional response criteria such as the Response Evaluation Criteria in Solid Tumors or even immune-specific response criter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312343/ https://www.ncbi.nlm.nih.gov/pubmed/32581044 http://dx.doi.org/10.1136/jitc-2019-000328 |
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author | Jiang, Xiaoyu Dudzinski, Stephanie Beckermann, Kathryn E Young, Kirsten McKinley, Eliot McIntyre, J Oliver Rathmell, Jeffrey C Xu, Junzhong Gore, John C |
author_facet | Jiang, Xiaoyu Dudzinski, Stephanie Beckermann, Kathryn E Young, Kirsten McKinley, Eliot McIntyre, J Oliver Rathmell, Jeffrey C Xu, Junzhong Gore, John C |
author_sort | Jiang, Xiaoyu |
collection | PubMed |
description | BACKGROUND: Immune checkpoint inhibitors, the most widespread class of immunotherapies, have demonstrated unique response patterns that are not always adequately captured by traditional response criteria such as the Response Evaluation Criteria in Solid Tumors or even immune-specific response criteria. These response metrics rely on monitoring tumor growth, but an increase in tumor size and/or appearance after starting immunotherapy does not always represent tumor progression, but also can be a result of T cell infiltration and thus positive treatment response. Therefore, non-invasive and longitudinal monitoring of T cell infiltration are needed to assess the effects of immunotherapies such as checkpoint inhibitors. Here, we proposed an innovative concept that a sufficiently large influx of tumor infiltrating T cells, which have a smaller diameter than cancer cells, will change the diameter distribution and decrease the average size of cells within a volume to a degree that can be quantified by non-invasive MRI. METHODS: We validated our hypothesis by studying tumor response to combination immune-checkpoint blockade (ICB) of anti-PD-1 and anti-CTLA4 in a mouse model of colon adenocarcinoma (MC38). The response was monitored longitudinally using Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED), a diffusion MRI-based method which has been previously shown to non-invasively map changes in intracellular structure and cell sizes with the spatial resolution of MRI, in cell cultures and in animal models. Tumors were collected for immunohistochemical and flow cytometry analyzes immediately after the last imaging session. RESULTS: Immunohistochemical analysis revealed that increased T cell infiltration of the tumors results in a decrease in mean cell size (eg, a 10% increase of CD3(+) T cell fraction results a ~1 µm decrease in the mean cell size). IMPULSED showed that the ICB responders, mice with tumor volumes were less than 250 mm(3) or had tumors with stable or decreased volumes, had significantly smaller mean cell sizes than both Control IgG-treated tumors and ICB non-responder tumors. CONCLUSIONS: IMPULSED-derived cell size could potentially serve as an imaging marker for differentiating responsive and non-responsive tumors after checkpoint inhibitor therapies, a current clinical challenge that is not solved by simply monitoring tumor growth. |
format | Online Article Text |
id | pubmed-7312343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-73123432020-06-26 MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy Jiang, Xiaoyu Dudzinski, Stephanie Beckermann, Kathryn E Young, Kirsten McKinley, Eliot McIntyre, J Oliver Rathmell, Jeffrey C Xu, Junzhong Gore, John C J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Immune checkpoint inhibitors, the most widespread class of immunotherapies, have demonstrated unique response patterns that are not always adequately captured by traditional response criteria such as the Response Evaluation Criteria in Solid Tumors or even immune-specific response criteria. These response metrics rely on monitoring tumor growth, but an increase in tumor size and/or appearance after starting immunotherapy does not always represent tumor progression, but also can be a result of T cell infiltration and thus positive treatment response. Therefore, non-invasive and longitudinal monitoring of T cell infiltration are needed to assess the effects of immunotherapies such as checkpoint inhibitors. Here, we proposed an innovative concept that a sufficiently large influx of tumor infiltrating T cells, which have a smaller diameter than cancer cells, will change the diameter distribution and decrease the average size of cells within a volume to a degree that can be quantified by non-invasive MRI. METHODS: We validated our hypothesis by studying tumor response to combination immune-checkpoint blockade (ICB) of anti-PD-1 and anti-CTLA4 in a mouse model of colon adenocarcinoma (MC38). The response was monitored longitudinally using Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED), a diffusion MRI-based method which has been previously shown to non-invasively map changes in intracellular structure and cell sizes with the spatial resolution of MRI, in cell cultures and in animal models. Tumors were collected for immunohistochemical and flow cytometry analyzes immediately after the last imaging session. RESULTS: Immunohistochemical analysis revealed that increased T cell infiltration of the tumors results in a decrease in mean cell size (eg, a 10% increase of CD3(+) T cell fraction results a ~1 µm decrease in the mean cell size). IMPULSED showed that the ICB responders, mice with tumor volumes were less than 250 mm(3) or had tumors with stable or decreased volumes, had significantly smaller mean cell sizes than both Control IgG-treated tumors and ICB non-responder tumors. CONCLUSIONS: IMPULSED-derived cell size could potentially serve as an imaging marker for differentiating responsive and non-responsive tumors after checkpoint inhibitor therapies, a current clinical challenge that is not solved by simply monitoring tumor growth. BMJ Publishing Group 2020-06-23 /pmc/articles/PMC7312343/ /pubmed/32581044 http://dx.doi.org/10.1136/jitc-2019-000328 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Immunotherapy Biomarkers Jiang, Xiaoyu Dudzinski, Stephanie Beckermann, Kathryn E Young, Kirsten McKinley, Eliot McIntyre, J Oliver Rathmell, Jeffrey C Xu, Junzhong Gore, John C MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title | MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title_full | MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title_fullStr | MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title_full_unstemmed | MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title_short | MRI of tumor T cell infiltration in response to checkpoint inhibitor therapy |
title_sort | mri of tumor t cell infiltration in response to checkpoint inhibitor therapy |
topic | Immunotherapy Biomarkers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312343/ https://www.ncbi.nlm.nih.gov/pubmed/32581044 http://dx.doi.org/10.1136/jitc-2019-000328 |
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