Risk factors for cytokine release syndrome and neurotoxicity in patients receiving epcoritamab or glofitamab for large B cell lymphoma: A multi-center, retrospective, real world analysis.
Abstract
Abstract Introduction: CD20xCD3 bispecific antibodies (BsAb) have been approved for use in relapsed/refractory (RR) large B-Cell lymphomas (LBCLs) with manageable toxicities. The main adverse events of clinical interest are cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). The risk factors for CRS and ICANS are not well understood. Knowledge of variables that contribute to increased risk may help clinicians identify and tailor management for high-risk patients (pts) and increase the comfort level for providers using these therapies in community practices. Methods: We performed a multicenter retrospective study at 21 US centers evaluating pts with RR LBCLs receiving commercially available epcoritamab (epco) or glofitamab (glofit) between 2023 and 2025. We obtained baseline characteristics, safety and efficacy outcomes. Univariate analysis was performed to identify associations between CRS, ICANS, and clinical variables of interest. Results: As of May 31, 2025, a total of 312 pts with RR LBCLs were treated with BsAb, Epco n=193 (62%), Glofit n= 119 (38%); median age 68; 63% male; 70% ECOG PS 0-1. Most common histologic type was diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS) (n=239, 84%) followed by high-grade B-cell lymphoma (HGBL) (n=46, 16%). 179 pts (57%) were previously treated with chimeric antigen receptor T-cell (CAR-T) therapy, with 47% receiving CAR-T <6 months (mo) prior to BsAb. Among pts with prior CAR-T, CRS with CAR-T therapy of any grade occurred in 63%, with 26% ≥ grade 2. ICANS of any grade (G) occurred in 25% of pts (9.4% ≥ G3). Overall and complete response (ORR and CR) rates to BsAb were 51% and 29%, respectively. With a median follow up of 5 mo, median progression-free and overall survival (PFS and OS) were 2.3 and 7.3 mo, respectively. With BsAb treatment, CRS of any grade occurred in 117 (39%) patients: 24% G1, 8.7% G2, 4% G3, 1% G4 and 1% G5. The max grade CRS occurred most frequently after the third dose of epco (35%) and the first dose of glofit (23%). CRS was managed with additional steroids in 24% of pts and tocilizumab in 22%. 13% of pts experienced ICANS: 5.8% G1, 3.4% G2, 2% G3, 1% G4 and 0.3% G5. Factors that increased the risk for any grade CRS included: bulky disease ≥ 7.5 cm at time of BsAb treatment (OR 2.04, 95% CI 1.17 – 3.55, p = 0.012), elevated LDH (OR 2.56, 95% CI 1.45– 4.76, p = 0.002) and treatment with epco compared to glofit (OR 1.69, 95% CI 1.04- 2.77, p = 0.036). As G ≥2 CRS generally requires inpatient monitoring and management, we next compared the risk factors between pts with no CRS or G1 CRS and G ≥2 CRS. Factors associated with increased risk for high grade CRS included: bone marrow involvement by lymphoma (OR 3.47, 95% CI 0.97 – 11.3, p = 0.043), platelet count ≤ 75 (OR 2.46, 95% CI 1.21 – 4.87, p = 0.011), ≥ 2 extra nodal sites (OR 2.04, 95% CI 1.07 – 3.97, p = 0.032) and ≥G2 CRS with prior CAR-T (OR 3.35, 95% CI 1.13 – 9.97, p = 0.027). Factors that increased the risk for ICANS included: bulky disease (OR 2.67, 95% CI 1.28 – 5.49, p = 0.008), elevated Cr ≥ 1.5x ULN (OR 3.79, 95% CI 1.25 – 10.4, p = 0.012), elevated AST/ALT ≥ 3x ULN (OR 4.65, 95% CI 0.92 – 19.9, p = 0.042), low albumin (OR 2.85, 95% CI 1.49 - 5.5, p = 0.002), and co-occurrence of CRS with BsAb (OR 9.1, 95% CI 3.85- 25, p < 0.001). No other clinical variables including older age, histologic subtype, ECOG PS, B symptoms, IPI score, cell of origin or histologic subtype, baseline labs such as ALC, CRP, fibrinogen or D-dimer were significantly associated with CRS or ICANS risk. There was no difference in ORR or CR rates in patients who experienced CRS or ICANS. Conclusions: Our analysis of pts treated with commercial BsAb for LBCL shows an increased risk for CRS and ICANs based on clinical variables that are routinely obtained at baseline including tumor bulk, sites of disease, laboratory parameters, and history of prior CRS with CAR-T therapy. Differences in baseline populations receiving epco and glofit treatments in this real-world analysis have been previously reported (Brooks et al, Blood 2025) and the comparative risk for CRS between these treatments remains unclear. Future plans including multivariable analysis may allow for development of a predictive model to identify pts at high risk of CRS and ICANS with BsAb treatment, potentially leading to prospective clinical trials evaluating prophylactic interventions for high-risk pts.
Article Details
Authors (43)
Xi Yang
Yasmin Karimi
4University of Michigan, Ann Arbor, United States
Xiaoying Chen
Adrienne Nedved
2Mayo Clinic, Rochester, United States
Yucai Wang
State Key Laboratory of Immune Response and Immunotherapy, Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine
Natalie Grover
11Division of Hematology, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
Tenley Schwarz
5Swedish Cancer Institute, Seattle, United States
Matthew Schwede
5Swedish Cancer Institute, Seattle, United States
Marshall McKenna
6Rutgers Cancer Institute of New Jersey, New Brunswick, United States
Yun Kyoung Tiger
6Rutgers Cancer Institute of New Jersey, New Brunswick, United States
Nayef Abdel-Razeq
7Mayo Clinic, Jacksonville, United States
Muhamad Alhaj Moustafa
2Mayo Clinic Florida, Division of Hematology-Oncology, Jacksonville, United States
Catherine Reinert
8University of Colorado Cancer Center, Aurora, United States
Ajay Major
Daniel Trotier
9University of Wisconsin, Carbone Cancer, Division of Hematology, Medical Oncology and Palliative Care, Madison, United States
Priyanka Pophali
9University of Wisconsin, Carbone Cancer, Division of Hematology, Medical Oncology and Palliative Care, Madison, United States
Kelsey Baron
5Division of Hematology, Department of Medicine, Huntsman Cancer Institute, The University of Utah, Salt Lake City, UT
Boyu Hu
Sally Jones
11University of Alabama at Birmingham, Birmingham, United States
Aditi Saha
6Moffitt Cancer Center, Tampa, FL
Nikita Dave
12University of Pennsylvania School of Medicine, Philadelphia, United States
Daniel Landsburg
12University of Pennsylvania School of Medicine, Philadelphia, United States
Megan Sears-Smith
13Levine Cancer Institute, Charlotte, United States
Nilanjan Ghosh
5Levine Cancer Institute/Advocate Health, Wake Forest University School of Medicine, Charlotte, NC
Kiarash Salafian
14University of Virginia, Charlottesville, United States
Emily Ayers
14University of Virginia, Charlottesville, United States
Suchitra Sundaram
15Icahn School of Medicine at Mount Sinai, New York, United States
Joshua Brody
15Icahn School of Medicine at Mount Sinai, New York, United States
Justin Kline
16University of Chicago Comprehensive Cancer Center, Chicago, United States
Alyssa Gibson
16University of Chicago Comprehensive Cancer Center, Chicago, United States
Javier Muñoz
Raja Prince-Eladnani
18Allegheny Health Network, Pittsburgh, United States
Rodolfo Garza Morales
17Mayo Clinic, Phoenix, United States
Cyrus Khan
18Allegheny Health Network, Pittsburgh, United States
Brenda Castillo
19Fred Hutchinson Cancer Center, Seattle, United States
Stephen Smith
Fadzai Chinyengetere
20Duke University, Durham, United States
Sandeep Dave
Alex Niu
21Roswell Park Comprehensive Cancer Center, Buffalo, United States
Francisco Hernandez-Ilizaliturri
21Roswell Park Comprehensive Cancer Center, Buffalo, United States
Paolo Caimi
1Cleveland Clinic Foundation, Department of Hematology and Medical Oncology, Cleveland, United States
Brian Hill
1Cleveland Clinic Foundation, Department of Hematology and Medical Oncology, Cleveland, United States
Taylor Brooks
1Cleveland Clinic Foundation, Department of Hematology and Medical Oncology, Cleveland, United States