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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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