A Computational Model of Cytokine Release Syndrome during CAR T-Cell Therapy

Zhuoyu Zhang, Lunan Liu, Chao Ma, Weiqiang Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Cytokine release syndrome (CRS) is a lethal adverse event in chimeric antigen receptor (CAR) T-cell therapy, hindering this promising therapy for cancers, such as B-cell acute lymphoblastic leukemia (B-ALL). Clinical management of CRS requires a better understanding of its underlying mechanisms. In this study, a computational model of CRS during CAR T-cell therapy is built to depict how the cellular interactions among CAR T-cells, B-ALL cells, and bystander monocytes, as well as the accompanying molecular interactions among various inflammatory cytokines, influence the severity of CRS. The model successfully defines the factors related to severe CRS and studies the effects of immunomodulatory therapy on CRS. The use of the model is also demonstrated as a precision medicine tool to optimize the treatment scheme, including personalized choice of CAR T-cell products and control of switchable CAR T-cell activity, for a more efficient and safer immunotherapy. This new computational oncology model can serve as a precision medicine tool to guide the clinical management of CRS during CAR T cell therapy.

Original languageEnglish (US)
JournalAdvanced Therapeutics
DOIs
StateAccepted/In press - 2022

Keywords

  • antigen receptor T-cell therapy
  • computational model
  • cytokine release syndrome
  • leukemia

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology
  • Pharmaceutical Science
  • Genetics(clinical)
  • Biochemistry, medical
  • Pharmacology (medical)

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