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Alderuccio JP, Reis IM, Hamadani M, Nachiappan M, Leslom S, Kahl BS, Ai WZ, Radford J, Solh M, Ardeshna KM, Hess BT, Lunning MA, Zinzani PL, Stathis A, Carlo-Stella C, Lossos IS, Caimi PF, Han S, Yang F, Kuker RA, Moskowitz CH. PET/CT Biomarkers Enable Risk Stratification of Patients with Relapsed/Refractory Diffuse Large B-cell Lymphoma Enrolled in the LOTIS-2 Clinical Trial. Clin Cancer Res 2024; 30:139-149. [PMID: 37855688 PMCID: PMC10872617 DOI: 10.1158/1078-0432.ccr-23-1561] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/11/2023] [Accepted: 10/17/2023] [Indexed: 10/20/2023]
Abstract
PURPOSE Significant progress has occurred in developing quantitative PET/CT biomarkers in diffuse large B-cell lymphoma (DLBCL). Total metabolic tumor volume (MTV) is the most extensively studied, enabling assessment of FDG-avid tumor burden associated with outcomes. However, prior studies evaluated the outcome of cytotoxic chemotherapy or chimeric antigen receptor T-cell therapy without data on recently approved FDA agents. Therefore, we aimed to assess the prognosis of PET/CT biomarkers in patients treated with loncastuximab tesirine. EXPERIMENTAL DESIGN We centrally reviewed screening PET/CT scans of patients with relapsed/refractory DLBCL enrolled in the LOTIS-2 (NCT03589469) study. MTV was obtained by computing individual volumes using the SUV ≥4.0 threshold. Other PET/CT metrics, clinical factors, and the International Metabolic Prognostic Index (IMPI) were evaluated. Logistic regression was used to assess the association between biomarkers and treatment response. Cox regression was used to determine the effect of biomarkers on time-to-event outcomes. We estimated biomarker prediction as continuous and binary variables defined by cutoff points. RESULTS Across 138 patients included in this study, MTV with a cutoff point of 96 mL was the biomarker associated with the highest predictive performance in univariable and multivariable models to predict failure to achieve complete metabolic response (OR, 5.42; P = 0.002), progression-free survival (HR, 2.68; P = 0.002), and overall survival (HR, 3.09; P < 0.0001). IMPI demonstrated an appropriate performance, however, not better than MTV alone. CONCLUSIONS Pretreatment MTV demonstrated robust risk stratification, with those patients demonstrating high MTV achieving lower responses and survival to loncastuximab tesirine in relapsed/refractory DLBCL.
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Affiliation(s)
- Juan Pablo Alderuccio
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Isildinha M. Reis
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Mehdi Hamadani
- Medical College of Wisconsin, Milwaukee, WI, United States
| | - Muthiah Nachiappan
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Salman Leslom
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Brad S. Kahl
- Washington University, St. Louis, MO, United States
| | - Weiyun Z. Ai
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, United States
| | - John Radford
- NIHR Clinical Research Facility, University of Manchester and the Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Melhem Solh
- Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, United States
| | - Kirit M. Ardeshna
- University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Brian T. Hess
- Medical University of South Carolina, Charleston, SC, United States
| | - Matthew A. Lunning
- University of Nebraska Medical Center- Fred and Pamela Buffett Cancer Center, Omaha, NE, United States
| | - Pier Luigi Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Anastasios Stathis
- Oncology Institute of Southern Switzerland, EOC, Bellinzona, Switzerland
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, and Department of Oncology and Hematology, Humanitas Research Hospital–IRCCS, Milano, Italy
| | - Izidore S. Lossos
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Paolo F. Caimi
- Cleveland Clinic Taussig Cancer Center, Cleveland, OH, United States
| | - Sunwoo Han
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Fei Yang
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Russ A. Kuker
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Craig H. Moskowitz
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States
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