Inflammatory and subtype-dependent serum protein signatures predict survival beyond the ctDNA in aggressive B cell lymphomas.

DLBCL Translation to patients circulating tumor DNA host response inflammation large B cell lymphoma liquid biopsy serum proteomics subtype characterization treatment response tumor microenvironment

Journal

Med (New York, N.Y.)
ISSN: 2666-6340
Titre abrégé: Med
Pays: United States
ID NLM: 101769215

Informations de publication

Date de publication:
02 Apr 2024
Historique:
received: 06 01 2024
revised: 24 02 2024
accepted: 11 03 2024
medline: 6 4 2024
pubmed: 6 4 2024
entrez: 5 4 2024
Statut: aheadofprint

Résumé

Biological heterogeneity of large B cell lymphomas (LBCLs) is poorly captured by current prognostic tools, hampering optimal treatment decisions. We dissected the levels of 1,463 serum proteins in a uniformly treated trial cohort of 109 patients with high-risk primary LBCL (ClinicalTrials.gov: NCT01325194) and correlated the profiles with molecular data from tumor tissue and circulating tumor DNA (ctDNA) together with clinical data. We discovered clinically and biologically relevant associations beyond established clinical estimates and ctDNA. We identified an inflamed serum protein profile, which reflected host response to lymphoma, associated with inflamed and exhausted tumor microenvironment features and high ctDNA burden, and translated to poor outcome. We composed an inflammation score based on the identified inflammatory proteins and used the score to predict survival in an independent LBCL trial cohort (ClinicalTrials.gov: NCT03293173). Furthermore, joint analyses with ctDNA uncovered multiple serum proteins that correlate with tumor burden. We found that SERPINA9, TACI, and TARC complement minimally invasive subtype profiling and that TACI and TARC can be used to evaluate treatment response in a subtype-dependent manner in the liquid biopsy. Altogether, we discovered distinct serum protein landscapes that dissect the heterogeneity of LBCLs and provide agile, minimally invasive tools for precision oncology. This research was funded by grants from the Research Council of Finland, Finnish Cancer Organizations, Sigrid Juselius Foundation, University of Helsinki, iCAN Digital Precision Cancer Medicine Flagship, Orion Research Foundation sr, and Helsinki University Hospital.

Sections du résumé

BACKGROUND BACKGROUND
Biological heterogeneity of large B cell lymphomas (LBCLs) is poorly captured by current prognostic tools, hampering optimal treatment decisions.
METHODS METHODS
We dissected the levels of 1,463 serum proteins in a uniformly treated trial cohort of 109 patients with high-risk primary LBCL (ClinicalTrials.gov: NCT01325194) and correlated the profiles with molecular data from tumor tissue and circulating tumor DNA (ctDNA) together with clinical data.
FINDINGS RESULTS
We discovered clinically and biologically relevant associations beyond established clinical estimates and ctDNA. We identified an inflamed serum protein profile, which reflected host response to lymphoma, associated with inflamed and exhausted tumor microenvironment features and high ctDNA burden, and translated to poor outcome. We composed an inflammation score based on the identified inflammatory proteins and used the score to predict survival in an independent LBCL trial cohort (ClinicalTrials.gov: NCT03293173). Furthermore, joint analyses with ctDNA uncovered multiple serum proteins that correlate with tumor burden. We found that SERPINA9, TACI, and TARC complement minimally invasive subtype profiling and that TACI and TARC can be used to evaluate treatment response in a subtype-dependent manner in the liquid biopsy.
CONCLUSIONS CONCLUSIONS
Altogether, we discovered distinct serum protein landscapes that dissect the heterogeneity of LBCLs and provide agile, minimally invasive tools for precision oncology.
FUNDING BACKGROUND
This research was funded by grants from the Research Council of Finland, Finnish Cancer Organizations, Sigrid Juselius Foundation, University of Helsinki, iCAN Digital Precision Cancer Medicine Flagship, Orion Research Foundation sr, and Helsinki University Hospital.

Identifiants

pubmed: 38579729
pii: S2666-6340(24)00119-3
doi: 10.1016/j.medj.2024.03.007
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT01325194', 'NCT03293173']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests H.H. (all outside of the submitted work): Genmab: honoraria, safety committee; Gilead: honoraria, advisory board; Incyte: honoraria, advisory board; Nordic Nanovector: honoraria, safety committee; Novartis: honoraria, advisory board; Takeda: honoraria, advisory board. J.J. (all outside of the submitted work): BMS: consultancy; Gilead: consultancy; Incyte: consultancy; Novartis: consultancy; Orion Pharma: consultancy; Roche: consultancy. M.B. (all outside of the submitted work): Astra Zeneca: consultancy; BMS/Celgene: consultancy; Incyte: consultancy; Janssen: consultancy; Mundipharma: consultancy; Nanexa: consultancy; Pfizer: consultancy; Roche: consultancy; Schain Research: consultancy; WntResearch: consultancy. M.J. (all outside of the submitted work): Abbvie: honoraria, research funding; Astra Zeneca: honoraria, research funding; BMS: honoraria, research funding; Genmab: honoraria; Incyte: honoraria; Janssen: honoraria, research funding; Kite/Gilead: consultancy, honoraria, research funding; Novartis: honoraria; Orion: honoraria; Roche: honoraria, research funding. S.L. (all outside of the submitted work): Genmab: consultancy, research funding; Gilead: consultancy; Incyte: consultancy; Nordic Nanovector: research funding; Novartis: consultancy, honoraria, research funding; Roche: consultancy, research funding; Merck: consultancy; Bayer: research funding; Celgene: consultancy, research funding; Orion: consultancy.

Auteurs

Maare Arffman (M)

Research Programs Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.

Leo Meriranta (L)

Research Programs Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.

Matias Autio (M)

Research Programs Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.

Harald Holte (H)

Department of Oncology, Oslo University Hospital and KG Jebsen Centre for B Cell Malignancies, Oslo, Norway.

Judit Jørgensen (J)

Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.

Peter Brown (P)

Department of Hematology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Sirkku Jyrkkiö (S)

Department of Oncology, Turku University Hospital, Turku, Finland.

Mats Jerkeman (M)

Department of Oncology, Skane University Hospital, Lund, Sweden.

Kristina Drott (K)

Department of Oncology, Skane University Hospital, Lund, Sweden.

Øystein Fluge (Ø)

Department of Oncology, Haukeland University Hospital, Bergen, Norway.

Magnus Björkholm (M)

Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.

Marja-Liisa Karjalainen-Lindsberg (ML)

Department of Pathology, Helsinki University Hospital, Helsinki, Finland.

Klaus Beiske (K)

Department of Pathology, Oslo University Hospital, Oslo, Norway.

Mette Ølgod Pedersen (MØ)

Department of Pathology, Zealand University Hospital, Roskilde, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Suvi-Katri Leivonen (SK)

Research Programs Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.

Sirpa Leppä (S)

Research Programs Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland. Electronic address: sirpa.leppa@helsinki.fi.

Classifications MeSH