Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome.
Humans
Single-Cell Analysis
/ methods
Tumor Microenvironment
/ genetics
Myeloid Cells
/ metabolism
Receptors, Immunologic
/ metabolism
Membrane Glycoproteins
/ metabolism
Prognosis
Neoplasms
/ genetics
Female
Programmed Cell Death 1 Receptor
/ metabolism
Biomarkers, Tumor
/ metabolism
Triple Negative Breast Neoplasms
/ genetics
Ovarian Neoplasms
/ pathology
B7-H1 Antigen
/ metabolism
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
07 Jul 2024
07 Jul 2024
Historique:
received:
31
07
2023
accepted:
19
06
2024
medline:
8
7
2024
pubmed:
8
7
2024
entrez:
7
7
2024
Statut:
epublish
Résumé
Tumor-associated myeloid-derived cells (MDCs) significantly impact cancer prognosis and treatment responses due to their remarkable plasticity and tumorigenic behaviors. Here, we integrate single-cell RNA-sequencing data from different cancer types, identifying 29 MDC subpopulations within the tumor microenvironment. Our analysis reveals abnormally expanded MDC subpopulations across various tumors and distinguishes cell states that have often been grouped together, such as TREM2+ and FOLR2+ subpopulations. Using deconvolution approaches, we identify five subpopulations as independent prognostic markers, including states co-expressing TREM2 and PD-1, and FOLR2 and PDL-2. Additionally, TREM2 alone does not reliably predict cancer prognosis, as other TREM2+ macrophages show varied associations with prognosis depending on local cues. Validation in independent cohorts confirms that FOLR2-expressing macrophages correlate with poor clinical outcomes in ovarian and triple-negative breast cancers. This comprehensive MDC atlas offers valuable insights and a foundation for futher analyses, advancing strategies for treating solid cancers.
Identifiants
pubmed: 38972873
doi: 10.1038/s41467-024-49916-4
pii: 10.1038/s41467-024-49916-4
doi:
Substances chimiques
Receptors, Immunologic
0
Membrane Glycoproteins
0
TREM2 protein, human
0
Programmed Cell Death 1 Receptor
0
Biomarkers, Tumor
0
PDCD1 protein, human
0
B7-H1 Antigen
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5694Informations de copyright
© 2024. The Author(s).
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