A Computational Model of Cytokine Release Syndrome during CAR T‐Cell Therapy. Issue 10 (15th August 2022)

• Record Type: Journal Article
• Authors: Zhang, Zhuoyu; Liu, Lunan; Ma, Chao; Chen, Weiqiang
• Is Part Of: Advanced therapeutics. Volume 5:Issue 10(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-15
• Subjects: antigen receptor T‐cell therapy -- computational model -- cytokine release syndrome -- leukemia; Therapeutics -- Periodicals; Pharmaceutical technology -- Periodicals; Pharmacogenetics -- Periodicals; 615.5
• DOI: 10.1002/adtp.202200130
• Languages: English
• ISSNs: 2366-3987

Abstract

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. Abstract : Cytokine release syndrome (CRS) is a lethal adverse event in chimeric antigen receptor (CAR) T‐cell therapy for B‐cell acute lymphoblastic leukemia. A computational model of CRS during CAR T‐cell therapy is established using clinical data to faithfully recapitulate the whole picture of cellular and molecular interactions in CRS, which can be used for guiding clinical management of CRS.