Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
Lale Kostakoglu,
Federico Mattiello,
Maurizio Martelli,
Laurie H. Sehn,
David Belada,
Chiara Ghiggi,
Neil Chua,
Eva González-Barca,
Xiaonan Hong,
Antonio Pinto,
Yuankai Shi,
Yoichi Tatsumi,
Christopher Bolen,
Andrea Knapp,
Gila Sellam,
Tina Nielsen,
Deniz Sahin,
Umberto Vitolo,
Marek Trněný
Affiliations
Lale Kostakoglu
Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA
Federico Mattiello
F. Hoffmann-La Roche Ltd, Basel
Maurizio Martelli
Department of translational and precision medicine, Sapienza University, Rome
Laurie H. Sehn
BC Cancer Centre for Lymphoid Cancer and the University of British Columbia, Vancouver, BC
David Belada
4th Department of Internal Medicine—Hematology, Charles University, Hospital and Faculty of Medicine, Hradec Králové, Czech Republic
Chiara Ghiggi
Universitaria San Martino, Genoa
Neil Chua
Cross Cancer Institute, University of Alberta, Edmonton, AB
Eva González-Barca
Institut Català d’Oncologia, Institut d’Investigació Biomédica de Bellvitge, Universitat de Barcelona, Hospitalet de Llobregat, Barcelona
Xiaonan Hong
Fudan University Shanghai Cancer Center, Shanghai
Antonio Pinto
Hematology-Oncology, Istituto Nazionale Tumori, Fondazione G. Pascale, IRCCS, Naples
Yuankai Shi
Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
Yoichi Tatsumi
Department of Patient Safety and Management, Kindai University Hospital and Department of Hematology and Rheumatology, Kindai University Faculty of Medicine, Osaka
Christopher Bolen
Genentech, Inc., South San Francisco, CA
Andrea Knapp
F. Hoffmann-La Roche Ltd, Basel
Gila Sellam
F. Hoffmann-La Roche Ltd, Basel
Tina Nielsen
F. Hoffmann-La Roche Ltd, Basel
Deniz Sahin
F. Hoffmann-La Roche Ltd, Basel
Umberto Vitolo
Multidisciplinary Oncology Outpatient Clinic, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin
Marek Trněný
First Department of Medicine, Charles University General Hospital, Prague, Czech Republic
This retrospective analysis of the phase III GOYA study investigated the prognostic value of baseline metabolic tumor volume parameters and maximum standardized uptake values for overall and progression-free survival (PFS) in treatment-naïve diffuse large B-cell lymphoma. Baseline total metabolic tumor volume (determined for tumors >1 mL using a threshold of 1.5 times the mean liver standardized uptake value +2 standard deviations), total lesion glycolysis, and maximum standardized uptake value positron emission tomography data were dichotomized based on receiver operating characteristic analysis and divided into quartiles by baseline population distribution. Of 1,418 enrolled patients, 1,305 had a baseline positron emission tomography scan with detectable lesions. Optimal cut-offs were 366 cm3 for total metabolic tumor volume and 3,004 g for total lesion glycolysis. High total metabolic tumor volume and total lesion glycolysis predicted poorer PFS, with associations retained after adjustment for baseline and disease characteristics (high total metabolic tumor volume hazard ratio: 1.71, 95% confidence interval [CI]: 1.35– 2.18; total lesion glycolysis hazard ratio: 1.46; 95% CI: 1.15–1.86). Total metabolic tumor volume was prognostic for PFS in subgroups with International Prognostic Index scores 0–2 and 3–5, and those with different cell-of-origin subtypes. Maximum standardized uptake value had no prognostic value in this setting. High total metabolic tumor volume associated with high International Prognostic Index or non-germinal center B-cell classification identified the highest-risk cohort for unfavorable prognosis. In conclusion, baseline total metabolic tumor volume and total lesion glycolysis are independent predictors of PFS in patients with diffuse large B-cell lymphoma after first-line immunochemotherapy.