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Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma

Tumors invade the surrounding tissues to progress, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insight required for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics o...

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Autores principales: Yerly, Laura, Pich-Bavastro, Christine, Di Domizio, Jeremy, Wyss, Tania, Tissot-Renaud, Stéphanie, Cangkrama, Michael, Gilliet, Michel, Werner, Sabine, Kuonen, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391376/
https://www.ncbi.nlm.nih.gov/pubmed/35986012
http://dx.doi.org/10.1038/s41467-022-32670-w
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author Yerly, Laura
Pich-Bavastro, Christine
Di Domizio, Jeremy
Wyss, Tania
Tissot-Renaud, Stéphanie
Cangkrama, Michael
Gilliet, Michel
Werner, Sabine
Kuonen, François
author_facet Yerly, Laura
Pich-Bavastro, Christine
Di Domizio, Jeremy
Wyss, Tania
Tissot-Renaud, Stéphanie
Cangkrama, Michael
Gilliet, Michel
Werner, Sabine
Kuonen, François
author_sort Yerly, Laura
collection PubMed
description Tumors invade the surrounding tissues to progress, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insight required for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics on human basal cell carcinomas, we define the cellular contributors of tumor progression. In the invasive niche, tumor cells exhibit a collective migration phenotype, characterized by the expression of cell-cell junction complexes. In physical proximity, we identify cancer-associated fibroblasts with extracellular matrix-remodeling features. Tumor cells strongly express the cytokine Activin A, and increased Activin A-induced gene signature is found in adjacent cancer-associated fibroblast subpopulations. Altogether, our data identify the cell populations and their transcriptional reprogramming contributing to the spatial organization of the basal cell carcinoma invasive niche. They also demonstrate the power of integrated spatial and single-cell multi-omics to decipher cancer-specific invasive properties and develop targeted therapies.
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spelling pubmed-93913762022-08-21 Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma Yerly, Laura Pich-Bavastro, Christine Di Domizio, Jeremy Wyss, Tania Tissot-Renaud, Stéphanie Cangkrama, Michael Gilliet, Michel Werner, Sabine Kuonen, François Nat Commun Article Tumors invade the surrounding tissues to progress, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their potential interactions hampered mechanistic insight required for efficient therapeutic targeting. Here, combining single-cell and spatial transcriptomics on human basal cell carcinomas, we define the cellular contributors of tumor progression. In the invasive niche, tumor cells exhibit a collective migration phenotype, characterized by the expression of cell-cell junction complexes. In physical proximity, we identify cancer-associated fibroblasts with extracellular matrix-remodeling features. Tumor cells strongly express the cytokine Activin A, and increased Activin A-induced gene signature is found in adjacent cancer-associated fibroblast subpopulations. Altogether, our data identify the cell populations and their transcriptional reprogramming contributing to the spatial organization of the basal cell carcinoma invasive niche. They also demonstrate the power of integrated spatial and single-cell multi-omics to decipher cancer-specific invasive properties and develop targeted therapies. Nature Publishing Group UK 2022-08-20 /pmc/articles/PMC9391376/ /pubmed/35986012 http://dx.doi.org/10.1038/s41467-022-32670-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yerly, Laura
Pich-Bavastro, Christine
Di Domizio, Jeremy
Wyss, Tania
Tissot-Renaud, Stéphanie
Cangkrama, Michael
Gilliet, Michel
Werner, Sabine
Kuonen, François
Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title_full Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title_fullStr Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title_full_unstemmed Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title_short Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
title_sort integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391376/
https://www.ncbi.nlm.nih.gov/pubmed/35986012
http://dx.doi.org/10.1038/s41467-022-32670-w
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