Home Hematology and Oncology Risk Stratification Can Predict Outcomes for CAR T-Cell Therapy in Lymphoma

Risk Stratification Can Predict Outcomes for CAR T-Cell Therapy in Lymphoma

Stratification based on prelymphodepletion C-reactive protein, ferritin can classify patients into high, intermediate, and low risk

By Elana Gotkine HealthDay Reporter

THURSDAY, Feb. 15, 2024 (HealthDay News) — For patients with diffuse large B-cell lymphoma (DLBCL), a simple risk stratification can predict outcomes for patients treated with CD19 chimeric antigen receptor (CAR) T-cell therapy, according to a study published online Feb. 8 in Blood Cancer Discovery.

Noting that some patients with DLBCL treated with CD19 CAR T-cell therapy have poor clinical outcomes, Rawan G. Faramand, M.D., from the H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida, and colleagues examined serum proteins associated with severe immune-mediated toxicities and inferior clinical responses in 146 patients with relapsed or refractory DLBCL who were treated with axicabtagene ciloleucel. Patients were classified into low-, intermediate-, and high-risk groups using a simple stratification developed based on prelymphodepletion C-reactive protein and ferritin.

The researchers found that the likelihood of developing grade ≥3 toxicities was higher for patients in the high-risk category, and they had inferior overall and progression-free survival. The findings were validated in two independent international cohorts, which showed excellent efficacy and safety outcomes for low-risk patients.

“Here we demonstrate that simple, and widely available, laboratory tests can similarly predict those patients with a decreased chance for success with CAR T. New strategies are needed for these patients, although CAR T remains the best therapeutic option for most patients we studied,” coauthor Frederick Locke, M.D., also from Moffitt Cancer Center, said in a statement.

Several authors disclosed ties to the pharmaceutical industry.

Copyright © 2024 HealthDay. All rights reserved.