Stromal signals dominate gene expression signature scores that aim to describe cancer cell-intrinsic stemness or mesenchymality characteristics.


Journal

Cancer research communications
ISSN: 2767-9764
Titre abrégé: Cancer Res Commun
Pays: United States
ID NLM: 9918281580506676

Informations de publication

Date de publication:
13 Feb 2024
Historique:
accepted: 09 02 2024
received: 30 08 2023
revised: 14 12 2023
medline: 13 2 2024
pubmed: 13 2 2024
entrez: 13 2 2024
Statut: aheadofprint

Résumé

Epithelial-to-mesenchymal transition (EMT) in cancer cells confers migratory abilities, a crucial aspect in the metastasis of tumors that frequently leads to death. In multiple studies authors proposed gene expression signatures for EMT, stemness, or mesenchymality of tumors based on bulk tumor expression profiling. However, recent studies suggested that non-cancerous cells from the micro- or macroenvironment (TME) heavily influence such signature profiles. Here, we strengthen these findings by investigating 11 published and frequently referenced gene expression signatures that were proposed to describe EMT-related (EMT, mesenchymal, or stemness) characteristics in various cancer types. By analyses of bulk, single cell, and pseudo bulk expression data, we show that the cell type composition of a tumor sample frequently dominates scores of these EMT-related signatures. A comprehensive, integrated analysis of bulk RNA-seq and single-cell RNA-seq data shows that stromal cells, most often fibroblasts, are the main drivers of EMT-related signature scores. We call attention to the risk of false conclusions about tumor properties when interpreting EMT-related signatures, especially in a clinical setting: high patient scores of EMT-related signatures or calls of "stemness subtypes" often result from low cancer cell content in tumor biopsies rather than cancer cell-specific stemness or mesenchymal/EMT characteristics.

Identifiants

pubmed: 38349551
pii: 734248
doi: 10.1158/2767-9764.CRC-23-0383
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Julian Kreis (J)

Merck, Darmstadt, Hesse, Germany.

Bogac Aybey (B)

Merck, Darmstadt, Hesse, Germany.

Felix Geist (F)

the healthcare business of Merck KGaA, Darmstadt, Germany, Darmstadt, Hesse, Germany.

Benedikt Brors (B)

German Cancer Research Center, Heidelberg, Germany.

Eike Staub (E)

Merck Healthcare KGaA, Darmstadt, Germany.

Classifications MeSH