Comprehensive peripheral blood immunoprofiling reveals five immunotypes with immunotherapy response characteristics in patients with cancer.
B cells
Immunotherapy
Kassandra
Machine learning
NK cells
RNA Sequencing
T cells
blood test
cancer
cancer patients
cell-typing
classifier
flow cytometry
immune cells
immune checkpoint blockade
immune status
immune system
immunoprofiling
immunotherapy biomarker
immunotype
immunotype signature scores
immunotype signatures
monocytes
peripheral blood
systems immunology
tumor microenvironment
Journal
Cancer cell
ISSN: 1878-3686
Titre abrégé: Cancer Cell
Pays: United States
ID NLM: 101130617
Informations de publication
Date de publication:
13 May 2024
13 May 2024
Historique:
received:
31
08
2023
revised:
20
02
2024
accepted:
15
04
2024
medline:
15
5
2024
pubmed:
15
5
2024
entrez:
14
5
2024
Statut:
ppublish
Résumé
The lack of comprehensive diagnostics and consensus analytical models for evaluating the status of a patient's immune system has hindered a wider adoption of immunoprofiling for treatment monitoring and response prediction in cancer patients. To address this unmet need, we developed an immunoprofiling platform that uses multiparameter flow cytometry to characterize immune cell heterogeneity in the peripheral blood of healthy donors and patients with advanced cancers. Using unsupervised clustering, we identified five immunotypes with unique distributions of different cell types and gene expression profiles. An independent analysis of 17,800 open-source transcriptomes with the same approach corroborated these findings. Continuous immunotype-based signature scores were developed to correlate systemic immunity with patient responses to different cancer treatments, including immunotherapy, prognostically and predictively. Our approach and findings illustrate the potential utility of a simple blood test as a flexible tool for stratifying cancer patients into therapy response groups based on systemic immunoprofiling.
Identifiants
pubmed: 38744245
pii: S1535-6108(24)00132-6
doi: 10.1016/j.ccell.2024.04.008
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
759-779.e12Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests This research was funded by BostonGene, Corp. N.F. is the Chief Medical Officer of BostonGene, Corp., and all authors affiliated with BostonGene, Corp. were employees thereof at the time the study was performed. M.F.G., A.Bagaev, D.D., A.Z., B.S., E.T., P.T., and A.A.S. are inventors on patents related to this work.