Related Experiment Video
Updated: Jun 6, 2026
Orthotopic Implantation and Peripheral Immune Cell Monitoring in the II-45 Syngeneic Rat Mesothelioma Model
Published on: October 2, 2015
Hodgkin-Inflammatory-Based Model ME-IPS Is a New Inflammatory-Based Prognostic Model Calculated at Diagnosis: Results
Andrea Duminuco1, Vittorio Del Fabro2, Gabriella Santuccio1
1Hematology With BMT Unit, A.O.U. "G. Rodolico-San Marco", Catania, Italy.
Background:
Identifying patients with a higher risk of recidivate/refractory Hodgkin lymphoma (R/R HL) is a challenge that needs to be addressed. The International Prognostic System (IPS) identifies patients with a poor prognosis in advanced stages, although its relevance has decreased due to advancements in modern treatment. The interim PET-2 scan after two chemotherapy cycles is now considered the most crucial prognostic tool, but it is only available after treatment initiation.
Methods:
We investigate the role of clinical and inflammatory indices associated with clinical data in 212 HL patients, focusing on peripheral blood ratios.
Results:
During follow-up, after a median of 60 months [3-213], 157 patients (74.1%) were in complete remission, and 55 were classified as R/R. SII (platelets × neutrophils/lymphocytes) ≥ 270, IgM < 50 mg/dL, male gender, and extranodal localization correlate with higher relapse and refractory rates. Assigning one point to each variable, a new prognostic score (ME-IPS) was developed, recognizing three risk classes. A total of 135 (63.7%) patients belonged to the low-risk class (0-1 points), 55 (25.9%) to intermediate (2 points), and 22 (10.4%) to high (3-4 points). The median PFS for the three groups was statistically different (not achieved vs. 89 vs. 8.8 months, p < 0.001), with a 5-year cut-off of 83%, 67%, and 27% (p < 0.001). ME-IPS, validated against the traditional IPS, performs better in identifying high-risk patients with data collected at diagnosis.
Conclusion:
Combining the ME-IPS model with PET-2 may provide a more effective tool for HL prognosis, particularly in cases of advanced disease, and guide treatment decisions in clinical practice.
