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Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma
EGFRvIII targeted chimeric antigen receptor T (CAR-T) cell therapy has recently been reported for treating glioblastomas (GBMs); however, physiology-based MRI parameters have not been evaluated in this setting. Ten patients underwent multiparametric MRI at baseline, 1, 2 and 3 months after CAR-T the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325110/ https://www.ncbi.nlm.nih.gov/pubmed/30478409 http://dx.doi.org/10.1038/s41416-018-0342-0 |
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author | Wang, Sumei O’Rourke, Donald M. Chawla, Sanjeev Verma, Gaurav Nasrallah, MacLean P. Morrissette, Jennifer J. D. Plesa, Gabriela June, Carl H. Brem, Steven Maloney, Eileen Desai, Arati Wolf, Ronald L. Poptani, Harish Mohan, Suyash |
author_facet | Wang, Sumei O’Rourke, Donald M. Chawla, Sanjeev Verma, Gaurav Nasrallah, MacLean P. Morrissette, Jennifer J. D. Plesa, Gabriela June, Carl H. Brem, Steven Maloney, Eileen Desai, Arati Wolf, Ronald L. Poptani, Harish Mohan, Suyash |
author_sort | Wang, Sumei |
collection | PubMed |
description | EGFRvIII targeted chimeric antigen receptor T (CAR-T) cell therapy has recently been reported for treating glioblastomas (GBMs); however, physiology-based MRI parameters have not been evaluated in this setting. Ten patients underwent multiparametric MRI at baseline, 1, 2 and 3 months after CAR-T therapy. Logistic regression model derived progression probabilities (PP) using imaging parameters were used to assess treatment response. Four lesions from “early surgery” group demonstrated high PP at baseline suggestive of progression, which was confirmed histologically. Out of eight lesions from remaining six patients, three lesions with low PP at baseline remained stable. Two lesions with high PP at baseline were associated with large decreases in PP reflecting treatment response, whereas other two lesions with high PP at baseline continued to demonstrate progression. One patient didn’t have baseline data but demonstrated progression on follow-up. Our findings indicate that multiparametric MRI may be helpful in monitoring CAR-T related early therapeutic changes in GBM patients. |
format | Online Article Text |
id | pubmed-6325110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63251102019-11-27 Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma Wang, Sumei O’Rourke, Donald M. Chawla, Sanjeev Verma, Gaurav Nasrallah, MacLean P. Morrissette, Jennifer J. D. Plesa, Gabriela June, Carl H. Brem, Steven Maloney, Eileen Desai, Arati Wolf, Ronald L. Poptani, Harish Mohan, Suyash Br J Cancer Brief Communication EGFRvIII targeted chimeric antigen receptor T (CAR-T) cell therapy has recently been reported for treating glioblastomas (GBMs); however, physiology-based MRI parameters have not been evaluated in this setting. Ten patients underwent multiparametric MRI at baseline, 1, 2 and 3 months after CAR-T therapy. Logistic regression model derived progression probabilities (PP) using imaging parameters were used to assess treatment response. Four lesions from “early surgery” group demonstrated high PP at baseline suggestive of progression, which was confirmed histologically. Out of eight lesions from remaining six patients, three lesions with low PP at baseline remained stable. Two lesions with high PP at baseline were associated with large decreases in PP reflecting treatment response, whereas other two lesions with high PP at baseline continued to demonstrate progression. One patient didn’t have baseline data but demonstrated progression on follow-up. Our findings indicate that multiparametric MRI may be helpful in monitoring CAR-T related early therapeutic changes in GBM patients. Nature Publishing Group UK 2018-11-27 2019-01-08 /pmc/articles/PMC6325110/ /pubmed/30478409 http://dx.doi.org/10.1038/s41416-018-0342-0 Text en © Cancer Research UK 2018 https://creativecommons.org/licenses/by/4.0/This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0). |
spellingShingle | Brief Communication Wang, Sumei O’Rourke, Donald M. Chawla, Sanjeev Verma, Gaurav Nasrallah, MacLean P. Morrissette, Jennifer J. D. Plesa, Gabriela June, Carl H. Brem, Steven Maloney, Eileen Desai, Arati Wolf, Ronald L. Poptani, Harish Mohan, Suyash Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title | Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title_full | Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title_fullStr | Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title_full_unstemmed | Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title_short | Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma |
title_sort | multiparametric magnetic resonance imaging in the assessment of anti-egfrviii chimeric antigen receptor t cell therapy in patients with recurrent glioblastoma |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325110/ https://www.ncbi.nlm.nih.gov/pubmed/30478409 http://dx.doi.org/10.1038/s41416-018-0342-0 |
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