A dual compartment peripheral blood signature of soluble and membrane-bound immune checkpoints predicts outcome in lymphoma patients

Lymphomas, particularly aggressive non-Hodgkin lymphomas (NHL), remain challenging due to poor outcomes in a subset of patients who fail initial therapy. Current minimally invasive biomarkers for risk stratification need further improvement. Immune checkpoint inhibitors (ICIs), while with limited efficacy in NHL, highlight the immune system's crucial role in cancer control. This study investigated the predictive and prognostic potential of soluble immune checkpoints (sICs) and their membrane-bound isoforms in the peripheral blood of lymphoma patients. Levels of sCD27, sCD28, and sCD80 were measured using multiplex immunoassay in 100 lymphoma patients and 62 healthy donors (HD). Expression of membrane-bound isoforms on PBMCs was analyzed via flow cytometry in 40 patients and 10 HD. All three sICs were significantly higher in lymphoma patients compared to HD. High levels were associated with significantly impaired disease control (DC) and survival at 12 and 24 months, progression free-survival (PFS) and overall survival (OS). The highest prediction capacity was achieved when assessing all three molecules in a combined score (p<sub>PFS</sub> < 0.001, p<sub>OS</sub> = 0.013, for score 0 vs 3: DC<sub>12mo</sub>:85% vs 18.5%, OS<sub>24mo</sub>:87% vs 27%). Integrating expression of related membrane-bound markers on PBMCs led to a highly robust peripheral blood-based biomarker score comprising the soluble and membrane-bound compartments (2COMPIC-Score:3 sICs + 7 PBMC subsets) (p<sub>PFS</sub> < 0.001, HR<sub>PFS</sub> = 18.1;p<sub>OS</sub> = 0.001,HR<sub>OS</sub> = 19.2), corroborated by multivariate analysis, outperforming the clinically validated NCCN-IPI prognostic score. We unveil the potential of combining different minimally invasive liquid biopsy-based immune checkpoint assessments into a robust clinical score for prognostic prediction in lymphoma, mainly B(cell)-NHL. Pending prospective validation, our findings could aid clinicians in guiding therapeutic decisions.

Authors

Institutions

Publication Details

Journal
OncoImmunology
Published
2025-08-28
DOI
https://doi.org/10.1080/2162402x.2025.2543511
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A dual compartment peripheral blood signature of soluble and membrane-bound immune checkpoints predicts outcome in lymphoma patients

Paul Kachel, Timo Trenkner, Johann von Felden, Marcus Altfeld et al.
1 links
OncoImmunology
Lymphoma Diagnosis and Treatment
article

A dual compartment peripheral blood signature of soluble and membrane-bound immune checkpoints predicts outcome in lymphoma patients

Paul Kachel, Timo Trenkner, Johann von Felden, Marcus Altfeld, Joao Gorgulho, Winfried Alsdorf, Urte Matschl, Ansgar Wilhelm Lohse, Angelique Hölzemer, Carsten Bokemeyer, Wilfredo Garcia Beltran, Britta Fritzsche, Samuel Huber, Sven Peine, Eva Kinkel
article en

Abstract

Lymphomas, particularly aggressive non-Hodgkin lymphomas (NHL), remain challenging due to poor outcomes in a subset of patients who fail initial therapy. Current minimally invasive biomarkers for risk stratification need further improvement. Immune checkpoint inhibitors (ICIs), while with limited efficacy in NHL, highlight the immune system's crucial role in cancer control. This study investigated the predictive and prognostic potential of soluble immune checkpoints (sICs) and their membrane-bound isoforms in the peripheral blood of lymphoma patients. Levels of sCD27, sCD28, and sCD80 were measured using multiplex immunoassay in 100 lymphoma patients and 62 healthy donors (HD). Expression of membrane-bound isoforms on PBMCs was analyzed via flow cytometry in 40 patients and 10 HD. All three sICs were significantly higher in lymphoma patients compared to HD. High levels were associated with significantly impaired disease control (DC) and survival at 12 and 24 months, progression free-survival (PFS) and overall survival (OS). The highest prediction capacity was achieved when assessing all three molecules in a combined score (p<sub>PFS</sub> < 0.001, p<sub>OS</sub> = 0.013, for score 0 vs 3: DC<sub>12mo</sub>:85% vs 18.5%, OS<sub>24mo</sub>:87% vs 27%). Integrating expression of related membrane-bound markers on PBMCs led to a highly robust peripheral blood-based biomarker score comprising the soluble and membrane-bound compartments (2COMPIC-Score:3 sICs + 7 PBMC subsets) (p<sub>PFS</sub> < 0.001, HR<sub>PFS</sub> = 18.1;p<sub>OS</sub> = 0.001,HR<sub>OS</sub> = 19.2), corroborated by multivariate analysis, outperforming the clinically validated NCCN-IPI prognostic score. We unveil the potential of combining different minimally invasive liquid biopsy-based immune checkpoint assessments into a robust clinical score for prognostic prediction in lymphoma, mainly B(cell)-NHL. Pending prospective validation, our findings could aid clinicians in guiding therapeutic decisions.

OncoImmunologyVol. 14(1)
Leibniz Institute of Virology (LIV) (DE), Universität Hamburg (DE), Ragon Institute of MGH, MIT and Harvard (US), Massachusetts General Hospital (US), Harvard–MIT Division of Health Sciences and Technology (US), University Medical Center Hamburg-Eppendorf (DE), German Center for Infection Research (DE), University Cancer Center Hamburg (DE), Eppendorf (Belgium) (BE), Institute of Virology of the Slovak Academy of Sciences (SK)
Wilhelm Sander-Stiftung, Deutsche Forschungsgemeinschaft, Deutsche Krebshilfe
Zero hunger
Openalex Percentile: Top 68%
Lymphoma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.