Videos

7 experts are featured in this series.

Teams from Roswell Park and New York City discuss advances in CAR T-cell therapy for large B-cell lymphoma. Team Roswell presents real-world data comparing second-line CAR T therapy with standard salvage chemotherapy and transplant approaches, highlighting improved event-free and overall survival outcomes with CAR T. Team NYC challenges the findings, raising questions about patient selection, treatment bias, and how real-world data should be interpreted alongside randomized clinical trial results.

7 experts are featured in this series.

Panelists debate whether the treatment paradigm in relapsed/refractory LBCL has fundamentally shifted from salvage chemotherapy and autologous transplant toward novel immune-based strategies. The discussion centers on CAR T-cell therapy versus bispecific antibodies, examining differences in outcomes. Faculty explore how emerging data, sequencing considerations, and real-world constraints are redefining treatment decision-making.

7 experts are featured in this series.

Panelists debate how to select between axicabtagene ciloleucel and lisocabtagene maraleucel for patients with rapidly progressive second-line DLBCL. Key arguments examine differences in efficacy signals, vein-to-vein time, and toxicity profiles and how these factors influence urgency of treatment. Faculty explore how real-world experience, institutional infrastructure, and patient-specific risk factors and lifestyle shape optimal CAR T product selection.

7 experts are featured in this series.

Panelists debate whether high-risk disease biology should accelerate referral for CAR T-cell therapy in second-line DLBCL. Key arguments consider patient-specific sequencing approaches, emphasizing individualized assessments before committing to CAR T. The opposing argument supports early referral for CAR T in biologically high-risk patients. Faculty weigh the balance between urgency and personalization, exploring how disease kinetics, logistical barriers, and real-world practice patterns influence optimal timing of referral.