Evidence map›Paper›PMID 41083996›Full record

ArticleJournal of experimental & clinical cancer research : CR2025

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

Marcel Mayer, Lisa Nachtsheim, Louis Jansen, Philipp Wolber, Marcel Schmiel, Luc G T Morris, Fengshen Kuo, Alan L Ho, Alexander Quaas, Jens Peter Klussmann and 1 more

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In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Marcel MayerDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Cologne, Medical Faculty, Kerpener Straße 62, 50937, Cologne, Germany. marcel.mayer@uk-koeln.de.
Lisa NachtsheimDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Cologne, Medical Faculty, Kerpener Straße 62, 50937, Cologne, Germany.
Louis JansenDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Cologne, Medical Faculty, Kerpener Straße 62, 50937, Cologne, Germany.
Philipp WolberDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Cologne, Medical Faculty, Kerpener Straße 62, 50937, Cologne, Germany.
Marcel SchmielCenter for Molecular Medicine Cologne (CMMC), Medical Faculty, University of Cologne, Cologne, Germany.
Luc G T MorrisHead and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Fengshen KuoHead and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alan L HoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alexander QuaasCenter for Molecular Medicine Cologne (CMMC), Medical Faculty, University of Cologne, Cologne, Germany.
Jens Peter KlussmannDepartment of Otorhinolaryngology, Head and Neck Surgery, University of Cologne, Medical Faculty, Kerpener Straße 62, 50937, Cologne, Germany.
Christoph AroltCenter for Molecular Medicine Cologne (CMMC), Medical Faculty, University of Cologne, Cologne, Germany.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

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

methodsSGC, 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 cases. Spatial transcriptomics data of three SDC cases was leveraged to understand the molecular mechanisms of spatial interactions.

resultsAmong 509,364 cells, SDC exhibited the highest fractions of Collagen- and matrix-CAFs (mCAFs). Acinic cell carcinomas (ACC) showed enriched CD4

conclusionSDC are characterized by Collagen-/mCAF-rich microenvironments and mCAF-endothelial spatial interactions that are linked to metastasis. ACC display pronounced immune infiltration, suggesting its potential for immunotherapy. mCAFs in SDC emerge as prognostic biomarkers and therapeutic targets, highlighting the importance of targeting CAF-driven metastasis in future treatments. This study provides insights into the biology of SGC and identifies novel prognostic markers.

Indexed as

Image CytometrySalivary Gland NeoplasmsTumor MicroenvironmentAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorAcinic cell carcinomaAndrogen receptorCancer-associated fibroblasts (CAFs)Imaging mass cytometryMatrix-CAFsMucoepidermoid carcinomaSalivary duct carcinomaSalivary gland carcinomaSecretory carcinomaSpatial proteomicsTumor microenvironment

Identifiers

PMID41083996
PMCPMC12516863

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.