PET-adaptive beacopp- versus ABVD-based therapies for advanced-stage (AS) classic Hodgkin lymphoma (cHL): Survival comparisons leveraging a multi-state model and analyzing the impact of a-hipi scores across the disease course
Abstract
Abstract Background: Despite recent therapeutic advances in AS cHL, PET-adaptive chemotherapy-based regimens remain a first-line treatment option, especially for patients (pts) without access to novel agents. Most PET-adaptive regiments start with either 2 cycles of escBEACOPP (escBEACOPP2) or ABVD (ABVD2) prior to interim PET assessment (iPET), followed by treatment de-escalation or intensification by iPET result. There have been no direct comparisons of escBEACOPP2 vs ABVD2 PET-adaptive regimens. Additionally, the AS-Hodgkin Lymphoma International Prognostication Index (A-HIPI) score (Rodday JCO 2023) has not been fully explored in escBEACOPP2 regimens. Therefore, we utilized multiple analytic approaches to compare outcomes of PET-adaptive escBEACOPP2 and ABVD2 regimens, while adjusting for and assessing the effect of the baseline A-HIPI score. Methods: Through the global HoLISTIC Consortium (www.hodgkinconsortium.com), we obtained individual patient data from 4 AS clinical trials of newly diagnosed cHL pts treated with PET-adaptive escBEACOPP2 (AHL2011) or ABVD2 (SWOG0816, RATHL, HD0607) regimens. Pts were restricted to age 18 to 65 years (y), stage IIB-IV, and PET-adapted treatment arms. Positive iPET was based on Deauville score >3. Treatment effects of escBEACOPP2 vs ABVD2 (reference) on 5y progression-free survival (PFS) and overall survival (OS) were first evaluated using Cox models. Importantly, baseline disease risk was adjusted for using the 5y PFS or OS A-HIPI score (including stage, sex, age, bulk, lymphocyte count, albumin, white blood cell count), where higher scores indicate higher predicted risk (scale 1-100). The A-HIPI was modeled per 1 standard deviation (SD) increase. Our multistate model (MSM) comprised 4 health states: diagnosis, sustained remission at 1yr, treatment failure, and death from any cause. Pts all started in the diagnosis state and transitioned to other states without return to prior states. We assessed the impact of treatment on transitions (except binary sustained remission at 1y) that involved ≥5 pts per treatment group, adjusting for A-HIPI for all transitions. All effects are reported as adjusted hazard ratios (aHRs) with 95% confidence intervals (CI). Results: 2,381 AS cHL pts were included (n=372 for escBEACOPP2, n=2009 for ABVD2). For escBEACOPP2 and ABVD2 groups (median follow-up 60 and 56 months), respectively, the mean baseline A-HIPI scores (i.e., predicted 5y PFS event rate) were 25.1 (SD=6.3) and 22.9 (SD=6.5), the rates of positive iPET were 11.3% and 17.0%, 5y PFS was 87.0% and 79.5%, and 5y OS was 96.3% and 94.6%. In Cox models, escBEACOPP2 was associated with significantly improved PFS compared to ABVD2 (aHR=0.54, 95% CI=0.39-0.73); the aHR for OS was 0.67 (95% CI=0.37-1.19). Notably, higher risk A-HIPI score was associated with significantly worse PFS (aHR=1.42, 95% CI=1.31-1.54) and OS (aHR=1.60, 95% CI=1.47-1.76), independent of treatment. In the MSM, the effect of escBEACOPP2 compared to ABVD2 regimens was modeled in 3 transitions with adjustment for A-HIPI score: those treated with escBEACOPP2 had lower likelihood of treatment failure with (aHR=0.38, 95% CI=0.22-0.66) or without (aHR=0.61, 95% CI=0.40-0.92) sustained remission at 1y; the aHR for treatment failure to death was 0.55 (95% CI=0.25-1.22). Higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure and death without sustained remission at 1y (aHR=1.43, 95% CI=1.28-1.61 and aHR=2.50, 95% CI=1.80-3.49, respectively). Furthermore, higher risk baseline A-HIPI score was associated with higher likelihood of treatment failure after achieving sustained remission at 1y (aHR=1.29, 95% CI=1.12-1.48) as well as death after treatment failure (aHR=1.54, 95% CI=1.27-1.86). Conclusions: Comparing newly diagnosed adult AS cHL PET-adaptive regimens with adjustment for baseline A-HIPI score, we found pts treated with escBEACOPP2 on AHL2011 had improved PFS versus pooled pt data from 3 ABVD2 trials. Using MSM, we further demonstrated that escBEACOPP2 was associated with a lower likelihood of treatment failure with or without achieving sustained remission at 1yr. In addition, baseline A-HIPI score was associated with PFS and OS, which was independent of treatment. Finally, higher baseline A-HIPI scores maintained prognostic impact throughout the disease course, including increased risk of treatment failure for pts in remission at 1yr and death after treatment failure.
Article Details
Authors (28)
Zhu Cui
1Tufts Medical Center, Boston, United States
Angie Mae Rodday
1Tufts Medical Center, Boston, United States
Hocine Tighiouart
1Tufts Medical Center, Boston, United States
Nicholas Counsell
6Cancer Research UK and University College London Cancer Trials Centre, Cancer Institute, University College London, London, United Kingdom
Sara Rossetti
7Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Jenica Upshaw
Beth Israel Deaconess Medical Center, Brookline, Massachusetts, United States
Amy Kirkwood
3CRUK and UCL Cancer Trials Centre, London, United Kingdom
Hongli Li
Key Laboratory of Genetic Evolution and Animal Models of the Chinese Academy of Sciences, Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, and Kunming Institute of Zoology and Chinese University of Hong Kong Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences
Ranjana Advani
8Stanford University, Stanford, United States
Olivier Casasnovas
11CHU de Dijon – Hôpital François Mitterrand, Dijon, France
James Cerhan
2Mayo Clinic, Rochester, United States
Massimo Federico
10CHIMOMO Department, University of Modena and Reggio Emilia, Modena, Italy
Andrea Gallamini
Research and Innovation Department Antoine Lacassagne Cancer Center Nice France
Hervé Ghesquieres
Hopital Lyon Sud, Claude Bernard Lyon 1 University, Pierre-Benite, France
Eliza Hawkes
1Olivia Newton-John Cancer Research Institute, Heidelberg, Australia
David Hodgson
Martin Hutchings
15Department of Haematology, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
Peter Johnson
Brian Link
13University of Iowa, Iowa City, United States
Eric Mou
24Division of Hematology, Oncology, and Blood and Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA
John Radford
15University of Manchester, Christie NHS Foundation Trust and NIHR Manchester Biomedical Research Centre, Manchester, United Kingdom
Kerry Savage
14University of British Columbia and the Department of Medical Oncology, BCCancer, Centre for Lymphoid Cancer, Vancouver, Canada
Deborah Stephens
1University of North Carolina at Chapel Hill, Hematology, Chapel Hill, United States
Pier Luigi Zinzani
12IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli,” Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
Matthew Maurer
2Mayo Clinic, Rochester, United States
Cédric Rossi
19Clinical Hematology, Dijon University Hospital, Dijon, France
Andrew Evens
16Rutgers Cancer Institute, New Brunswick, United States
Susan Parsons
15Tufts Medical Center, Boston, United States