Predictive role of endothelial cell activation in cytokine release syndrome after chimeric antigen receptor T cell therapy for acute lymphoblastic leukaemia.
Fei HongMing ShiJiang CaoYing WangYanqing GongHui GaoZhenyu LiJunnian ZhengLingyu ZengAili HeKailin XuPublished in: Journal of cellular and molecular medicine (2021)
CD19-target chimeric antigen receptor (CAR)-T cell therapy is highly effective for relapsed/refractory (R/R) acute lymphoblastic leukaemia (ALL), but is often complicated by cytokine release syndrome (CRS), which is potentially life-threatening. Endothelial cells are the core regulator of CRS in many infectious diseases and may also play a key role after CAR-T cell therapy. We provided a detailed clinical, laboratory description and endothelial cell activation biomarkers in patients with CRS. Endothelial cell activation was associated with occurrence, development and severity of CRS, manifested by decreased serum angiopoietin (Ang)-1 levels and increased levels of von Willebrand Factor (VWF), Ang-2, Ang-2:Ang-1, sE-selectin, soluble intercellular adhesion molecule (sICAM-1) and soluble vascular cell adhesion molecule (sVCAM)-1. Besides, the endothelial activation was correlated with the hepatic, kidney and hematopoietic dysfunction in CRS patients. After infusion of CAR-T cells, we detected changes of endothelial activation-related biomarkers within 36 hours in patients who subsequently developed CRS, especially severe CRS. Using top tree models, we could predict which patients would develop CRS, especially severe CRS, or identify the severity of CRS by certain biomarkers of endothelial activation. These data provide a new idea and will help identify new targets for early intervention and prevention of CRS.
Keyphrases
- endothelial cells
- cell therapy
- end stage renal disease
- angiotensin ii
- cell adhesion
- chronic kidney disease
- high glucose
- newly diagnosed
- randomized controlled trial
- stem cells
- liver failure
- infectious diseases
- drug induced
- early onset
- risk assessment
- acute myeloid leukemia
- oxidative stress
- acute lymphoblastic leukemia
- case report
- transcription factor
- patient reported outcomes
- hepatitis b virus
- pseudomonas aeruginosa
- big data
- patient reported
- acute respiratory distress syndrome
- deep learning
- cell migration