Deciphering the cellular tumor microenvironment landscape in salivary gland carcinomas using multiplexed imaging mass cytometry.

ABSTRACT:

Background

To spatially characterize the single-cell tumor microenvironment (TME) of salivary gland carcinomas (SGC) and identify prognostic biomarkers.

Methods

SGC, including salivary duct carcinomas (SDC), acinic cell, mucoepidermoid, and secretory carcinomas, were analyzed using a 13-marker imaging mass cytometry panel. Multichannel image data from 54 primary cases and nodal metastases were processed to generate single-cell datasets. Cell phenotypes (tumor cells, cancer-associated fibroblasts (CAFs), endothelia, immune cells) were classified using a validated CAF algorithm, followed by spatial analysis and clinicopathological correlation. Clinicopathological results were validated using a previously published independent bulk RNA-sequencing (RNA-seq) cohort of n = 67 SDC

SUBMITTER: Mayer M 

PROVIDER: S-EPMC12516863 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature