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Time to evolve: predicting engineered T cell-associated toxicity with next-generation models

  • E. Donnadieu
  • , M. Luu
  • , M. Alb
  • , B. Anliker
  • , S. Arcangeli
  • , C. Bonini
  • , Angelis B. De
  • , R. Choudhary
  • , D. Espie
  • , A. Galy
  • , C. Holland
  • , Z. Ivics
  • , C. Kantari-Mimoun
  • , M. J. Kersten
  • , U. Kohl
  • , C. Kuhn
  • , B. Laugel
  • , Franco Locatelli
  • , I. Marchiq
  • , J. Markman
  • M. A. Moresco, E. Morris, H. Negre, C. Quintarelli, M. Rade, K. Reiche, M. Renner, E. Ruggiero, C. Sanges, H. Stauss, M. Themeli, den Brulle J. Van, M. Hudecek, M. Casucci
  • Université Paris Descartes
  • University of Würzburg
  • Paul-Ehrlich-Institut
  • IRCCS San Raffaele Scientific Institute
  • Vita-Salute San Raffaele University
  • University of Rome La Sapienza
  • Accelerator of Technological Research in Genomic Therapy
  • Johnson & Johnson
  • Institut de Recherches Servier
  • University College London
  • Fraunhofer Institute for Cell Therapy and Immunology
  • Leipzig University
  • Amsterdam UMC
  • Würzburg

Research output: Contribution to journalArticle

Abstract

Despite promising clinical results in a small subset of malignancies, therapies based on engineered chimeric antigen receptor and T-cell receptor T cells are associated with serious adverse events, including cytokine release syndrome and neurotoxicity. These toxicities are sometimes so severe that they significantly hinder the implementation of this therapeutic strategy. For a long time, existing preclinical models failed to predict severe toxicities seen in human clinical trials after engineered T-cell infusion. However, in recent years, there has been a concerted effort to develop models, including humanized mouse models, which can better recapitulate toxicities observed in patients. The Accelerating Development and Improving Access to CAR and TCR-engineered T cell therapy (T2EVOLVE) consortium is a public-private partnership directed at accelerating the preclinical development and increasing access to engineered T-cell therapy for patients with cancer. A key ambition in T2EVOLVE is to design new models and tools with higher predictive value for clinical safety and efficacy, in order to improve and accelerate the selection of lead T-cell products for clinical translation. Herein, we review existing preclinical models that are used to test the safety of engineered T cells. We will also highlight limitations of these models and propose potential measures to improve them.
Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalJournal for ImmunoTherapy of Cancer
Volume10
Issue number5
DOIs
Publication statusPublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Immunology
  • Molecular Medicine
  • Oncology
  • Pharmacology
  • Cancer Research

Keywords

  • immunotherapy

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