Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer.

Cancer-associated fibroblasts Imaging mass cytometry Non-small cell lung cancer Single cell Spatial analysis

Journal

Cancer cell
ISSN: 1878-3686
Titre abrégé: Cancer Cell
Pays: United States
ID NLM: 101130617

Informations de publication

Date de publication:
08 Jan 2024
Historique:
received: 29 03 2023
revised: 02 11 2023
accepted: 21 12 2023
medline: 20 1 2024
pubmed: 20 1 2024
entrez: 19 1 2024
Statut: aheadofprint

Résumé

Despite advances in treatment, lung cancer survival rates remain low. A better understanding of the cellular heterogeneity and interplay of cancer-associated fibroblasts (CAFs) within the tumor microenvironment will support the development of personalized therapies. We report a spatially resolved single-cell imaging mass cytometry (IMC) analysis of CAFs in a non-small cell lung cancer cohort of 1,070 patients. We identify four prognostic patient groups based on 11 CAF phenotypes with distinct spatial distributions and show that CAFs are independent prognostic factors for patient survival. The presence of tumor-like CAFs is strongly correlated with poor prognosis. In contrast, inflammatory CAFs and interferon-response CAFs are associated with inflamed tumor microenvironments and higher patient survival. High density of matrix CAFs is correlated with low immune infiltration and is negatively correlated with patient survival. In summary, our data identify phenotypic and spatial features of CAFs that are associated with patient outcome in NSCLC.

Identifiants

pubmed: 38242124
pii: S1535-6108(23)00449-X
doi: 10.1016/j.ccell.2023.12.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests B.B. has co-founded Navignostics, a spin-off company of the University of Zurich, and is one of its shareholders and a board member.

Auteurs

Lena Cords (L)

Department of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland; Life Science Zurich Graduate School, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland.

Stefanie Engler (S)

Department of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland.

Martina Haberecker (M)

Department of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.

Jan Hendrik Rüschoff (JH)

Department of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.

Holger Moch (H)

Department of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.

Natalie de Souza (N)

Department of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland.

Bernd Bodenmiller (B)

Department of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland. Electronic address: bernd.bodenmiller@uzh.ch.

Classifications MeSH