Optimizing risk stratification in patients aged 80+ years with large B-cell lymphoma: Comparison of prognostic indices in three pooled international cohorts
Abstract
Abstract Introduction The International Prognostic Index (IPI) is widely used to stratify risk in large B-cell lymphoma (LBCL) across all ages, with age-adjusted (aa)IPI applied to younger patients. While there have been efforts to develop prognostic indices (PIs) tailored to older patients, few are adopted in clinical practice due to their complexity and reliance on functional assessments, which are not routinely collected in real-world registry datasets. Recently proposed SENIOR-IPI (Dubois, ASH 2024) was developed for older patients with LBCL receiving anthracycline (A)-based therapy. We assessed the performance of standard and novel PIs in patients aged 80+ years and externally validated the SENIOR-IPI. Methods We harmonized and pooled data of patients aged 80+ years with newly diagnosed LBCL from a national registry and two prospective cohorts: NiHiL (Czech Republic, enrolled 2010–2023), LEO (USA; n=222, 2015–2020), and MER (USA; n=77, 2010–2015), forming a cohort of 819 individuals. We included 536 individuals with complete data on IPI components and albumin, including 485 treated with chemotherapy and 397 with A-based regimens (primary cohort). Following PIs were evaluated: IPI, NCCN-IPI, (aa)IPI, and SENIOR-IPI (age per year, aaIPI components, LDH >3x ULN as extra point, and albumin, all weighted six-fold; extranodal involvement excluded due to lack of prognostic significance). Multivariable hazard ratios (HR) were estimated using Cox proportional hazards models; discriminative ability was assessed using C-index and calibration plots. The primary endpoint was overall survival (OS); event-free survival results were consistent (230/357 events were deaths) and are not reported here. Results Among the 397 A-treated patients (median age 82 years, range 80–99), ECOG performance status (PS) 2–4 was observed in 35% of patients, clinical stage III–IV in 67%, elevated LDH in 65% (8% with >3x ULN), >1 extranodal (EN) site in 32%, and albumin levels < 3.5 g/dL in 27%. In multivariable modeling, only age per year (HR=1.07, P<0.01), and clinical stage (HR=1.36, P=0.048) were independent predictors of OS, whereas ECOG PS (HR=1.27, P=0.12), trichotomized LDH by ULN (HR=1.23, P=0.08) and albumin (HR=1.17, P=0.35) were not significant. SENIOR-IPI had the highest discrimination (C-index 0.631) in A-treated patients, outperforming IPI (0.617), NCCN-IPI (0.591), and aaIPI (0.620), with consistent results across cohorts: NiHiL (0.633), LEO (0.619), and MER (0.621). SENIOR-IPI stratified patients into low- (L-Risk, 0–9 points, 28%), low-intermediate (L-Int, 10–19 points, 42%), high-intermediate (H-Int, 20–29 points, 23%), and high-risk (H-Risk, 30–40 points, 7%) categories, with OS medians of 6.3, 3.8, 2.4, and 1.4 years, respectively (P<0.01), and significant separation between L-Int and H-Int (HR=1.47, P=0.02). By comparison, IPI categorized patients as L-Risk (12%), L-Int (24%), H-Int (27%), and H-Risk (37%), with median OS of 8.7, 4.6, 4.8, and 1.9 years, resp. (P<0.01). aaIPI yielded following distributions: 13%, 29%, 37%, and 21%; and median OS: 8.7, 5.3, 3.4, and 1.5 years; P<0.01. NCCN-IPI stratified patients into three groups: L-Int (13%), H-Int (49%), and H-Risk (39%), with respective OS medians of 8.7, 4.1, and 2.5 years (P<0.01). All PIs showed modest overestimation of mortality (calibration slopes: SENIOR-IPI 1.36; IPI 1.24; aaIPI 1.30; NCCN-IPI 1.26; intercept: -0.97, -0.87, -0.92, -0.87, resp.). In the entire cohort (n=536), SENIOR-IPI showed highest C-index (0.651 vs IPI 0.622, aaIPI 0.631, NCCN-IPI 0.606), and stratified patients into L-Risk (26%, 2-year OS: 6.4 years), L-Int (40%, 3.2 years), H-Int (24%, 1.5 years), and H-Risk (10%, 0.6 years). Calibration slope was 1.18 (intercept -0.33). Among patients not receiving chemotherapy, SENIOR-IPI also performed best (C-index 0.759 vs IPI 0.738, aaIPI 0.757, NCCN-IPI 0.728). Conclusion SENIOR-IPI enables effective risk stratification of patients aged 80+ years with LBCL into four prognostically distinct groups, outperforming traditional indices (IPI, NCCN-IPI, aaIPI) in patients receiving A-based therapy, as well as in the entire cohort and in patients not receiving chemotherapy. While its discrimination is superior, modest miscalibration suggests that future recalibration may improve precision. These findings support SENIOR-IPI as a clinically relevant prognostic tool for the elderly LBCL patient population. Funding: NU21-03-00411, P50 CA97274, U01 CA195568.
Article Details
Authors (47)
Prokop Vodička
1First Department of Medicine, First Faculty of Medicine Charles University and General Hospital, Prague, Czech Republic
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
Katerina Benesova
6Department of Haematology and Oncology, Faculty of Medicine, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
Patrick Reagan
5University of Rochester, Rochester, United States
David Salek
4Department of Hematology and Oncology, Faculty of Medicine, Masaryk University and University Hospital, Brno, Czech Republic
Izidore S. Lossos
29Division of Hematology, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
Vit Prochazka
Jean Koff
7Winship Cancer Institute, Emory University School of Medicine, Hematology and Medical Oncology, Atlanta, United States
Alice Sykorova
Eric Mou
24Division of Hematology, Oncology, and Blood and Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA
Heidi Mocikova
Andrew Feldman
2Mayo Clinic, Rochester, United States
Zuzana Prouzová
Brad Kahl
8Washington University, Division of Oncology, St. Louis, United States
Juraj Ďuraš
11Department of Hematology, Medical Faculty of the Ostrava University and University Hospital, Ostrava, Czech Republic
Mazie Tsang
2Mayo Clinic Comprehensive Cancer Center, Phoenix, United States
Katerina Steinerova
6Department of Haematology and Oncology, Faculty of Medicine, Charles University and University Hospital Pilsen, Pilsen, Czech Republic
Chijioke Nze
6MD Anderson Cancer Center, Houston, United States
Diana Malarikova
2First Department of Medicine, First Faculty of Medicine, Charles University and General Hospital, Prague, Czech Republic
Raphael Mwangi
2Mayo Clinic, Rochester, United States
Andrea Janíková
26Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
Arushi Khurana
2Mayo Clinic, Rochester, United States
Jan Galko
8First Faculty of Medicine, Charles University and General Hospital, Institute of Pathology, Prague, Czech Republic
Peter Martin
Kamila Polgarova
1First Faculty of Medicine, Charles University and General Hospital, First Department of Medicine, Prague, Czech Republic
Sergei Syrbu
3University of Iowa, Iowa City, United States
Jan Koren
2First Department of Medicine, First Faculty of Medicine, Charles University and General Hospital, Prague, Czech Republic
Ales Obr
8Faculty of Medicine and Dentistry, Palacky University and University Hospital, Department of Haemato-Oncology, Olomouc, Czech Republic
Jonathan Friedberg
15Wilmot Cancer Center, University of Rochester, Department of Medicine, Hematology/Oncology, Rochester, United States
David Belada
4th Department of Internal Medicine - Haematology, University Hospital and Faculty of Medicine, Hradec Kralove, Czech Republic
Michal Kascak
14Medical Faculty of the Ostrava University and University Hospital, Department of Hematology, Ostrava, Czech Republic
Jonathon Cohen
15Winship Cancer Institute, Emory University, Atlanta CA
Michal Masar
1First Faculty of Medicine, Charles University and General Hospital, First Department of Medicine, Prague, Czech Republic
Alexandra Suri
7Department of Hematology, Fakultni nemocnice Kralovske Vinohrady and Third Faculty of Medicine, Charles University, Prague, Czech Republic
Grzegorz Nowakowski
1Mayo Clinic, Rochester, United States
Samuel Hricko
1Masaryk University Brno, Brno, Czech Republic, Faculcy of medicine, Brno, Czech Republic
Andrea Hrušková
6Faculty of Medicine and Dentistry, Palacky University and University Hospital, Department of Haemato-Oncology, Olomouc, Czech Republic
Christopher Flowers
1Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
Veronika Bergerova
16Faculty of Medicine, Charles University and University Hospital Pilsen, Department of Haematology and Oncology, Pilsen, Czech Republic
Petra Blahovcova
2General University Hospital in Prague, Brno, Czech Republic, First Department of Medicine, Prague, Czech Republic
Matthew Maurer
2Mayo Clinic, Rochester, United States
Jozef Michalka
4Department of Hematology and Oncology, Faculty of Medicine, Masaryk University and University Hospital, Brno, Czech Republic
Vit Campr
19Department of Pathology and Molecular Medicine, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
Thomas Habermann
2Mayo Clinic, Rochester, United States
Pavel Klener
James Cerhan
2Mayo Clinic, Rochester, United States
Marek Trneny