Early Survival Prediction Framework in CD19-Specific CAR-T Cell Immunotherapy Using a Quantitative Systems Pharmacology Model

Early Survival Prediction Framework in CD19-Specific CAR-T Cell Immunotherapy Using a Quantitative Systems Pharmacology Model

Chimeric antigen receptor (CAR)-T cell therapy has revolutionized treatment of relapsed/refractory non-Hodgkin lymphoma (NHL). However, since 36–60% of patients relapse, early response prediction is crucial. We present a novel population quantitative systems pharmacology model, integrating literatur...

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Bibliographic Details
Main Authors: Anna Mueller-Schoell, Nahum Puebla-Osorio, Robin Michelet, Michael R. Green, Annette Künkele, Wilhelm Huisinga, Paolo Strati, Beth Chasen, Sattva S. Neelapu, Cassian Yee, Charlotte Kloft
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
chimeric antigen receptor T cells
non-Hodgkin lymphoma
CAR-T cells
mathematical modeling
pharmacometrics
Online Access:https://www.mdpi.com/2072-6694/13/11/2782

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https://www.mdpi.com/2072-6694/13/11/2782

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