Functionally distinct cancer-associated fibroblast subpopulations establish a tumor promoting environment in squamous cell carcinoma

Cutaneous squamous cell carcinoma (cSCC) is a serious public health problem due to its high incidence and metastatic potential. It may progress from actinic keratosis (AK), a precancerous lesion, or the in situ carcinoma, Bowen’s disease (BD). During this progression, malignant keratinocytes activat...

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Veröffentlicht in:Nature communications 2023-09, Vol.14 (1), p.5413-5413, Article 5413
Hauptverfasser: Schütz, Sabrina, Solé-Boldo, Llorenç, Lucena-Porcel, Carlota, Hoffmann, Jochen, Brobeil, Alexander, Lonsdorf, Anke S., Rodríguez-Paredes, Manuel, Lyko, Frank
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Sprache:eng
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Zusammenfassung:Cutaneous squamous cell carcinoma (cSCC) is a serious public health problem due to its high incidence and metastatic potential. It may progress from actinic keratosis (AK), a precancerous lesion, or the in situ carcinoma, Bowen’s disease (BD). During this progression, malignant keratinocytes activate dermal fibroblasts into tumor promoting cancer-associated fibroblasts (CAFs), whose origin and emergence remain largely unknown. Here, we generate and analyze >115,000 single-cell transcriptomes from healthy skin, BD and cSCC of male donors. Our results reveal immunoregulatory and matrix-remodeling CAF subtypes that may derive from pro-inflammatory and mesenchymal fibroblasts, respectively. These CAF subtypes are largely absent in AK and interact with different cell types to establish a pro-tumorigenic microenvironment. These findings are cSCC-specific and could not be recapitulated in basal cell carcinomas. Our study provides important insights into the potential origin and functionalities of dermal CAFs that will be highly beneficial for the specific targeting of the cSCC microenvironment. During the progression of cutaneous squamous cell carcinoma (cSCC), dermal fibroblasts become activated into cancer-associated fibroblasts (CAFs) which are pro-tumorigenic. Here, using single-cell RNA sequencing of patients’ samples at different stages of cSCC progression, the authors identify two main CAF subsets and deduce their potential functions using bioinformatics.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-41141-9