Defining the relationship of salivary gland malignancies to novel cell subpopulations in human salivary glands using single nucleus RNA-sequencing.

immunohistochemistry (IHC) salivary gland cancer (SGC) salivary glands single nucleus RNA-seq

Journal

International journal of cancer
ISSN: 1097-0215
Titre abrégé: Int J Cancer
Pays: United States
ID NLM: 0042124

Informations de publication

Date de publication:
16 Nov 2023
Historique:
revised: 26 09 2023
received: 20 02 2023
accepted: 17 10 2023
medline: 17 11 2023
pubmed: 17 11 2023
entrez: 16 11 2023
Statut: aheadofprint

Résumé

Salivary glands have essential roles in maintaining oral health, mastication, taste and speech, by secreting saliva. Salivary glands are composed of several types of cells, and each cell type is predicted to be involved in the carcinogenesis of different types of cancers including adenoid cystic carcinoma (ACC), acinic cell carcinoma (AciCC), salivary duct carcinoma (SDC), myoepithelial carcinoma (MECA) and other histology. In our study, we performed single nucleus RNA-seq on three human salivary gland samples to clarify the gene expression profile of each complex cellular component of the salivary glands and related these expression patterns to expression found in salivary gland cancers (SGC) to infer cell of origin. By single nucleus RNA-seq, salivary gland cells were stratified into four clusters: acinar cells, ductal cells 1, ductal cells 2 and myoepithelial cells/stromal cells. The localization of each cell group was verified by IHC of each cluster marker gene, and one group of ductal cells was found to represent intercalated ductal cells labeled with HES1. Furthermore, in comparison with SGC RNA-seq data, acinar cell markers were upregulated in AciCC, but downregulated in ACC and ductal cell markers were upregulated in SDC but downregulated in MECA, suggesting that markers of origin are highly expressed in some SGC. Cell type expressions in specific SGC histology are similar to those found in normal salivary gland populations, indicating a potential etiologic relationship.

Identifiants

pubmed: 37971144
doi: 10.1002/ijc.34790
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : The Mulzet Cure for the Cure Initiative in Head and Neck Cancer
ID : N/A

Informations de copyright

© 2023 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

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Auteurs

Takuya Nakagawa (T)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Jessica Santos (J)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Chanond A Nasamran (CA)

Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, California, USA.

Prakriti Sen (P)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Sayed Sadat (S)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Abdula Monther (A)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Joseph Bendik (J)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Koji Ebisumoto (K)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.

Jingjing Hu (J)

Department of Pathology, University of California San Diego, San Diego, California, USA.

Sebastian Preissl (S)

Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA.

Theresa Guo (T)

Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, California, USA.

Vera Vavinskaya (V)

Department of Pathology, University of California San Diego, San Diego, California, USA.

Kathleen M Fisch (KM)

Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, California, USA.

Joseph A Califano (JA)

Moores Cancer Center, University of California San Diego, La Jolla, California, USA.
Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, California, USA.

Classifications MeSH