CD49b, CD87, and CD95 Are Markers for Activated Cancer-Associated Fibroblasts Whereas CD39 Marks Quiescent Normal Fibroblasts in Murine Tumor Models.

CD39 CD49b CD87 cancer-associated fibroblasts normal fibroblasts subcutaneous 4T1 mouse tumor model subcutaneous CT26.WT mouse tumor model

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2019
Historique:
received: 29 04 2019
accepted: 18 07 2019
entrez: 21 8 2019
pubmed: 21 8 2019
medline: 21 8 2019
Statut: epublish

Résumé

Fibroblasts are thought to be key players in the tumor microenvironment. Means to identify and isolate fibroblasts as well as an understanding of their cancer-specific features are essential to dissect their role in tumor biology. To date, the identification of cancer-associated fibroblasts is widely based on generic markers for activated fibroblasts in combination with their origin in tumor tissue. This study was focused on a deep characterization of the cell surface marker profile of cancer-associated fibroblasts in widely used mouse tumor models and defining aberrant expression profiles by comparing them to their healthy counterparts. We established a generic workflow to isolate healthy and cancer-associated fibroblasts from solid tissues, thereby reducing bias, and background noise introduced by non-target cells. We identified CD87, CD44, CD49b, CD95, and Ly-6C as cancer-associated fibroblast cell surface markers, while CD39 was identified to mark normal fibroblasts from healthy tissues. In addition, we found a functional association of most cancer-related fibroblast markers to proliferation and a systemic upregulation of CD87, and CD49b in tumor-bearing mice, even in non-affected tissues. These novel markers will facilitate the characterization of fibroblasts and shed further light in their functions and implication in cancer progression.

Identifiants

pubmed: 31428583
doi: 10.3389/fonc.2019.00716
pmc: PMC6690267
doi:

Types de publication

Journal Article

Langues

eng

Pagination

716

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Auteurs

David J Agorku (DJ)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.
HAN Master Programmes, HAN University of Applied Sciences, Nijmegen, Netherlands.

Anne Langhammer (A)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

Ute Heider (U)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

Stefan Wild (S)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

Andreas Bosio (A)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

Olaf Hardt (O)

Miltenyi Biotec GmbH, Bergisch Gladbach, Germany.

Classifications MeSH