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
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.