The optimized HLH inflammatory index: A novel prognostic tool for newly diagnosed patients with diffuse large B-cell lymphoma—Discovery and validation.
Abstract
7073 Background: The Optimized HLH Inflammatory (OHI) index (Zoref-Lorenz et al., Blood , 2022), based on serum soluble CD25 (sCD25) and ferritin, is a prognostic tool identifying inflammation in the hemophagocytic lymphohistiocytosis (HLH) spectrum and early mortality risk. Prior studies were retrospective and enriched with HLH-suspected cases. We hypothesized that the OHI index would predict outcomes in unselected diffuse large B-cell lymphoma (DLBCL). Methods: 670 newly diagnosed DLBCL patients from a prospective cohort (2002–2015) were analyzed: 335 for discovery and 335 for validation. Pre-treatment serum sCD25 and ferritin levels were quantified via ELISA, and we evaluated original thresholds (sCD25 ≥ 3,900 U/mL; ferritin ≥ 1,000 ng/mL) and developed DLBCL-optimized thresholds (using receiver operator curves) for predicting 500-day mortality. We also evaluated event-free survival (EFS), EFS at 24 months (EFS24), and overall survival (OS). Results: The median age was 64, and 51% were male. Using original thresholds, 4.2% (n=14) of patients were OHI+, with a 5.6-fold higher risk of 500-day mortality (95% CI 1.6–17; p<0.001). Optimized thresholds identified 23.6% (n=78) as OHI+ with a 9.2-fold higher 500-day mortality risk (95% CI 4.0–24; p<0.001). Optimized OHI+ also had a higher risk of EFS24 failure and inferior EFS and OS (Table). OHI+ patients had higher rates of B symptoms (35% vs. 20%; p=0.027), elevated LDH (76% vs. 34%; p<0.001), worse performance status (ECOG ≥2: 38% vs. 12%; p<0.001), and advanced-stage disease (Stage IV: 57% vs 38%; p<0.001), though IPI scores (3–5) were not significantly different (44% vs 36%; p=0.28). Adjusting for age and IPI, OHI+ independently predicted 500-day mortality (OR=5.0; CI 1.9–13; p=0.001), EFS24 failure (OR=3.2; CI 1.5–6.5; p=0.0018), and inferior long-term EFS (HR=2.2; CI 1.1–4.3; p=0.030) and OS (HR=2.0; CI 1.0–4.0; p=0.040) at a median follow up of 9.8 years in living patients. In validation, optimized OHI predicted 500-day mortality, EFS24 failure, and long-term OS and EFS (Table). Cytokine profiling revealed elevated inflammatory markers in OHI+ patients, including IL1a (p=0.008), CCL2 (p=0.03), CXCL10 (p<0.001), and CXCL9 (p<0.001), reflecting systemic hyperinflammation. Conclusions: The OHI index is a powerful predictor of early and long-term outcomes in DLBCL patients. Optimized thresholds identify a larger OHI+ group, highlighting hyperinflammation’s critical role in poor outcomes. These findings support its use in routine management and clinical trial design for novel therapies. Odds ratios or hazard ratios and p-values for optimized OHI+ and DLBCL prognosis. Outcome Discovery Validation OR for 500-day mortality 9.2; p<0.001 4.0; p=0.002 OR for EFS24 failure 5.2; p <0.001 6.3; p<0.001 HR for OS 2.3; p<0.001 1.8; p=0.006 HR for EFS 2.4; p<0.001 2.5; p<0.001
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (18)
Adi Zoref Lorenz
Meir Medical Center, Faculty of Medicine and Health Sciences, Tel Aviv University, Kfar Sava, Israel
Elliot Cahn
2Mayo Clinic, Department of Quantitative Health Sciences, Rochester, United States
Eric Mou
24Division of Hematology, Oncology, and Blood and Marrow Transplantation, Department of Internal Medicine, University of Iowa, Iowa City, IA
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
Matthew John Maurer
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
Andew L. Feldman
Mayo Clinic, Rochester, MN
Brianna J. Negaard
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
Raphael Mwangi
2Mayo Clinic, Rochester, United States
Gilad Itchaki
4Tel Aviv University, The Faculty of Medical and Health Sciences, Tel Aviv, Israel
Grzegorz S. Nowakowski
Thomas Matthew Habermann
Division of Hematology, Mayo Clinic, Rochester, MN
Brian K. Link
Stephen M. Ansell
3Department of Hematology/Oncology, Mayo School of Graduate Medicine, Mayo Clinic, Rochester, MN
Anne Novak
1Mayo Clinic, Rochester, United States
Gaurav Goyal
1Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL
Thomas E. Witzig
Division of Hematology, Mayo Clinic, Rochester, MN
James Robert Cerhan
Mayo Clinic, Rochester, MN
Michael Jordan