A simple scoring system for response and toxicity following lymphoma CAR-T: Results from the Australian CAR-T real-world consortium
Abstract
Abstract Aim: Autologous anti-CD19 chimeric antigen receptor T-cell therapy (CAR-T) is now a standard-of-care for relapsed and/or refractory (R/R) large B-cell lymphoma (LBCL), but optimal patient selection, sequencing with other novel agents and bridging strategies are areas for improvement. Tisagenlecleucel (tisa-cel) and axicabtagene ciloleucel (axi-cel) have been publicly funded in Australia since January 2020 and August 2021, respectively. We evaluated the impact of baseline clinical and laboratory risk factors known at (1) apheresis and (2) pre-lymphodepletion (pre-LD), on efficacy and toxicity of CAR-T to inform clinical decision making. Methods: Adult patients with R/R LBCL eligible for CAR-T according to the Australian national criteria (ECOG <2, ≥2 prior lines or autologous stem cell transplant (autoSCT), adequate organ function) were included if they underwent apheresis with intent to receive CAR-T at 6 Australian centres between January 1, 2020 and December 31, 2024. For infused patients, progression-free survival (PFS) and overall survival (OS) were calculated from date of infusion. Univariable and multivariable Cox proportional hazards (CoxPH) models using routinely-available risk factors were applied at apheresis and pre-LD, and predictive scoring systems were established. Results: 632 patients were included. The median age was 66 years (16 to 85), histologies were high-grade B-cell lymphoma (HGBL) 11%, diffuse large B-cell lymphoma (DLBCL) 63%, transformed lymphoma 16%, Richters transformation 4%, primary mediastinal large B-cell lymphoma (PMBCL) 2%, T-cell/histiocyte rich large B-cell lymphoma (THRLBCL) 2%. Bridging therapy was used in 87% (46% systemic, 24% radiotherapy, 17% combined). 210 tisa-cel-intended patients underwent apheresis; 190 (90%) were infused. The best overall and complete response rates (ORR and CRR) were 73% and 59%, respectively. The 12-month PFS was 34% (intention-to-treat (ITT)), and 38% (infused). Grade (G) ≥3 CRS occurred in 9%, and G≥3 ICANS in 7%. 422 axi-cel-intended patients underwent apheresis; 395 (94%) proceeded to infusion. The best ORR and CRR were 85% and 72%, respectively. The 12-month PFS was 47% (ITT), and 50% (infused). G≥3 CRS occurred in 4%, and G≥3 ICANS occurred in 22%. CoxPH factors included: age (>75 vs ≤75), sex, ECOG (0 vs ≥1), histology (HGBL vs DLBCL vs transformed lymphoma), number of prior lines of therapy (2 vs 3 vs ≥4), prior autoSCT, history of primary refractory disease, relapsed/refractory to most recent systemic therapy, LDH (high vs normal), bridging response (PD/SD vs PR/CR vs no bridging, at pre-LD only). At time of apheresis, a two-factor model including relapsed/refractory status and LDH was selected. For tisa-cel patients the 12-month PFS (ITT) stratified by number of risk factors was, 0: 58% (44–76%), 1: 33% (24–45%), and 2: 24% (16–37%). Rates of failure to infuse were, 0: 5%, 1: 8%, and 2: 18%. For axi-cel 12-month PFS (ITT) was: 0: 63% (50–78%), 1: 53% (45–63%), and 2: 37% (30–45%). Rates of failure to infused were, 0: 2%, 1: 6%, and 2: 8%. At pre-LD, a three-factor model including ECOG, bridging response and LDH, was selected. For tisa-cel patients the 12-month PFS (infused) stratified by number of risk factors was, 0: 72% (58–89%), 1: 49% (38–63%), 2: 28% (17–46%), and 3: 3% (0–23%). For axi-cel 12-month PFS (infused) was, 0: 66% (54–80%), 1: 65% (55–76%), 2: 52% (43–63%), and 3: 23% (15–35%). Amongst tisa-cel patients with all 3 risk factors, the rate of G≥3 CRS was 22% and G≥3 ICANS was 12%, compared with 5% and 7%, respectively, with ≤2 risk factors. Amongst axi-cel patients with all 3 risk factors, the rate of G≥3 CRS was 9% and G≥3 ICANS was 31%, compared with 2% and 19%, respectively, with ≤2 risk factors. Conclusions: Real-world Australian outcomes of CAR-T for R/R LBCL in third-line and beyond are favourable. A two-factor model at pre-apheresis (relapsed/refractory status and LDH) and a three-factor model at pre-LD (ECOG, bridging response and LDH) stratifies for both PFS and high-grade toxicity risk. Response to bridging was associated with improved outcomes with either product. In the absence of identified risk factors outcomes were excellent with either product, with axi-cel more effective relative to tisa-cel as risk factors increased. These findings offer a simple and clinically useful framework for consideration of patient selection, product choice and bridging strategy in the era of alternative highly-effective therapies.
Article Details
Authors (25)
Mark Dowling
2Peter MacCallum Cancer Centre, Melbourne, Australia
Vinay Vanguru
4Department of Haematology, Royal Prince Alfred Hospital, Camperdown, Australia
Stephen Boyle
7Cancer Care Services, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia
Catelyn Cashion
6Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, Australia
Shafqat Inam
10Malignant Haematology, Transplantation and Cellular Therapy Service, Alfred Hospital, Melbourne, Australia
Thomas Buss
12Department of Haematology, Fiona Stanley Hospital, Murdoch, Australia
Anthony Jeffrey
4Department of Haematology, Royal Prince Alfred Hospital, Camperdown, Australia
Hamish Scott
2Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Clinical Haematology, Melbourne, Australia
Ross MacDonald
7Cancer Care Services, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Australia
Jian Li
Nicole O'Leary
1Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Department of Clinical Haematology, Melbourne, Australia
Adrian Minson
2Peter MacCallum Cancer Center, Cancer Immunology Program, Melbourne, Australia
Christina Brown
University of Chicago ,
Mary Ann Anderson
Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
Gaurav Sutrave
Westmead Institute for Medical Research, Westmead, Australia
Safia Belbachir
12Department of Haematology, Fiona Stanley Hospital, Murdoch, Australia
Jason Butler
1University of Florida, Medicine, Gainesville, United States
Cameron Curley
6Royal Brisbane and Women's Hospital, Cancer Care Services, Brisbane, Australia
Allison Barraclough
12Department of Haematology, Fiona Stanley Hospital, Murdoch, Australia
Constantine Tam
1Alfred Hospital and Monash University, Melbourne, Australia
Andrea Henden
7Royal Brisbane and Women's Hospital, Cancer Care Services, Brisbane, Australia
Emily Blyth
5Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
Phoebe Joy Ho
2Royal Prince Alfred Hospital, Camperdown, Australia
Simon Harrison
1Peter MacCallum Cancer Centre, Centre of Excellence for Cellular Immunotherapy, Melbourne, Australia
Michael Dickinson