Related Experiment Video
Updated: Aug 29, 2026
![Dynamic Imaging of Chimeric Antigen Receptor T Cells with [18F]Tetrafluoroborate Positron Emission Tomography/Computed Tomography](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F62334.jpg&w=3840&q=50)
Dynamic Imaging of Chimeric Antigen Receptor T Cells with [18F]Tetrafluoroborate Positron Emission Tomography/Computed Tomography
Published on: February 17, 2022
InflaMix Predicts Severe CRS, ICU Admission, and Progression-Free Survival After CAR-T Therapy in LBCL
Eugenio Galli1, Daniele Mannina2, Alessandro Corrente3
1Department of Laboratory and Hematological Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Objectives:
Baseline systemic inflammation has emerged as a determinant of outcome after CD19-directed CAR-T therapy. We evaluated the prognostic performance of the recently developed INFLAmmation MIXture Model (InflaMix) in an independent bicentric cohort of patients with large B-cell lymphoma (LBCL) receiving commercial CAR-T cells, focusing on treatment-related toxicities.
Methods:
We retrospectively analyzed 212 consecutive patients with relapsed/refractory LBCL treated with axi-cel, tisa-cel, or liso-cel between 2020 and 2026. Patients were classified according to the InflaMix inflammatory phenotype. Progression-free survival (PFS), CAR-T-related toxicities, ICU admission, and concordance with CAR-HEMATOTOX and mEASIX were assessed.
Results:
An inflammatory InflaMix phenotype was identified in 21% of patients and was associated with inferior PFS (12-month PFS: 30% vs. 56%; p < 0.001). While overall grade 2-4 CRS and ICANS rates were comparable, inflammatory patients showed higher rates of grade 3-4 CRS (11.1% vs. 1.8%; OR 3.18) and ICU admission (24.4% vs. 5.6%; OR 3.00). No association with ICAHT was observed. Concordance was poor with CAR-HEMATOTOX and moderate with mEASIX.
Conclusions:
InflaMix was externally validated as a predictor of inferior PFS, severe CRS, and ICU admission after CAR-T therapy, and candidates as a practical tool for pre-infusion risk stratification and as a complement to existing scores.
More Related Videos
06:08Assessment of Chimeric Antigen Receptor T Cell-Associated Toxicities Using an Acute Lymphoblastic Leukemia Patient-Derived Xenograft Mouse Model
Published on: February 10, 2023
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025