Evidence map›Paper›PMID 41131107›Full record

ArticleOncogene2025

High-resolution spatial transcriptomics uncover epidermal-dermal divergences in Merkel cell carcinoma: spatial context reshapes the gene expression landscape.

Kuan Cheok Lei, Nalini Srinivas, Mitalee Chandra, Vahan Serobyan, Selma Ugurel, Daniel Hoffmann, Thibault Kervarrec, Weng-Onn Lui, Jürgen C Becker

Abstract read
In one paragraph

Article in Oncogene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Pharmacologic reversion of Merkel cell carcinoma via CBP/p300 inhibition.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

9 authors.

Kuan Cheok LeiTranslational Skin Cancer Research, German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung - DKTK), Partner Site University Medicine Essen, Essen, Germany.ORCID 0000-0001-6804-8914
Nalini SrinivasTranslational Skin Cancer Research, German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung - DKTK), Partner Site University Medicine Essen, Essen, Germany.ORCID 0000-0002-6899-0800
Mitalee ChandraTranslational Skin Cancer Research, German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung - DKTK), Partner Site University Medicine Essen, Essen, Germany.ORCID 0000-0002-3593-7173
Vahan SerobyanTranslational Skin Cancer Research, German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung - DKTK), Partner Site University Medicine Essen, Essen, Germany.ORCID 0000-0001-5055-8422
Selma UgurelDepartment of Dermatology, University Hospital Essen, Essen, Germany.ORCID 0000-0002-9384-6704
Daniel HoffmannBioinformatics and Computational Biophysics, Faculty of Biology, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-2973-7869
Thibault KervarrecDepartment of Pathology, University Hospital of Tours, Tours, France.ORCID 0000-0002-2201-6914
Weng-Onn LuiDepartment of Oncology and Pathology, Karolinska Institutet; BioClinicum, Karolinska University Hospital, Solna, Sweden.ORCID 0000-0003-4717-4473
Jürgen C BeckerTranslational Skin Cancer Research, German Cancer Consortium (Deutsches Konsortium für Translationale Krebsforschung - DKTK), Partner Site University Medicine Essen, Essen, Germany. j.becker@dkfz.de.ORCID 0000-0001-9183-653X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is an aggressive skin cancer with neuroendocrine differentiation marked by high cellular plasticity, often manifesting as rapid therapy resistance. Although the cell-of-origin is presumed to be epithelial, epidermal localization of MCC is rarely observed, largely because in situ MCC is typically an incidental finding. Nevertheless, a subset of MCC tumors exhibits epidermotropism, wherein tumor cells are present in the epidermis. The behavior of cancer cells is profoundly influenced by the tumor microenvironment and interactions with neighboring cells. Notably, the normal counterparts of the cancer's cell-of-origin have been shown to attenuate tumor aggressiveness. Thus, epidermotropic MCC presents a unique opportunity to explore the potential role of epidermal microenvironment in modulating tumor cell behavior. While the epidermotropic tumor nests share histological resemblance with their dermal counterparts, their transcriptomic profiles remain unexplored. Here, we employed high-definition spatial and single-cell transcriptomics to dissect the gene expression profiles of epidermotropic MCC cells, comparing them to MCC cells in the tumor core and those adjacent to blood vessels. Notably, epidermotropic MCC cells exhibit a transcriptomic signature reminiscent of cutaneous squamous cell carcinoma, characterized by upregulation of genes encoding keratins, S100A proteins, as well as calmodulin-like proteins 3 and 5. Mechanistically, this keratinocytic differentiation is associated with enhanced p63 activity, leading to the upregulation of PERP. Collectively, our study demonstrates that MCC cells can adopt a keratinocytic differentiation program in response to microenvironmental cues, underscoring the remarkable phenotypic plasticity of this malignancy and the importance of the microenvironment for tumor cell characteristics.

Indexed as

Carcinoma, Merkel CellDermisEpidermisGene Expression Regulation, NeoplasticSkin NeoplasmsTranscriptomeAgedAged, 80 and overCell DifferentiationFemaleGene Expression ProfilingHumansMaleSingle-Cell Gene Expression AnalysisTranscription FactorsTumor MicroenvironmentTP63 protein, humanTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID41131107
PMCPMC12623243

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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.