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

Risultato della ricerca: Contributo in rivistaArticolo

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.
Lingua originaleInglese
pagine (da-a)1-18
Numero di pagine18
RivistaJournal for ImmunoTherapy of Cancer
Volume10
Numero di pubblicazione5
DOI
Stato di pubblicazionePubblicato - 2022

All Science Journal Classification (ASJC) codes

  • Immunologia e Allergia
  • Immunologia
  • Medicina Molecolare
  • Oncologia
  • Farmacologia
  • Ricerca sul Cancro

Keywords

  • immunotherapy

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