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 JD, Plesa, Gabriela, June, Carl H, Brem, Steven, Maloney, Eileen
et al (show 4 more authors) (2019) Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma. BRITISH JOURNAL OF CANCER, 120 (1). pp. 54-56.

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Cell Line, Tumor, Humans, Glioblastoma, Neoplasm Recurrence, Local, Magnetic Resonance Imaging, Immunotherapy, Adoptive, Middle Aged, Female, Male, ErbB Receptors, Receptors, Chimeric Antigen
Depositing User: Symplectic Admin
Date Deposited: 30 Nov 2018 10:24
Last Modified: 19 Jan 2023 01:11
DOI: 10.1038/s41416-018-0342-0
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3029263