Evidence map›Paper›PMID 41537454›Full record

ArticleThe Journal of pathology2026

Single-nucleus RNA sequencing identifies a novel tenogenic heterologous differentiation in endometrial carcinosarcomas: implications for diagnosis and tumor classification.

Silvia González-Martínez, José Palacios, Irene Carretero-Barrio, Val Fernández-Lanza, Alfonso Cortés-Salgado, Javier Román, Xavier Matias-Guiu, Sonia Gatius, Javier Cortés, Belén Pérez-Mies

Abstract read
In one paragraph

Article in The Journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Silvia González-Martínez'Contigo Contra el Cáncer de la Mujer' Foundation, Madrid, Spain.ORCID https://orcid.org/0000-0002-8139-8369
José PalaciosMolecular Pathology of Cancer Group, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, Spain.
Irene Carretero-BarrioMolecular Pathology of Cancer Group, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, Spain.ORCID https://orcid.org/0000-0003-1986-2965
Val Fernández-LanzaCentre for Biomedical Research in Infectious Diseases Networks (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Alfonso Cortés-SalgadoDepartment of Medical Oncology, Ramón y Cajal University Hospital, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, Spain.
Javier RománIOB Madrid, Institute of Oncology, Beata María Ana Hospital, Madrid, Spain.
Xavier Matias-GuiuDepartment of Pathology, Hospital Universitari Arnau de Vilanova, University of Lleida, IRBLLEIDA, CIBERONC, Lleida, Spain.
Sonia GatiusDepartment of Pathology, Hospital Universitari Arnau de Vilanova, University of Lleida, IRBLLEIDA, CIBERONC, Lleida, Spain.
Javier CortésIOB Madrid, Institute of Oncology, Beata María Ana Hospital, Madrid, Spain.
Belén Pérez-MiesMolecular Pathology of Cancer Group, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, Spain.

Funding

"A way to achieve Europe" (FEDER)"Contigo contra el cancer de la mujer" FoundationInstituto de Salud Carlos III PI22/01892Instituto de Salud Carlos III PI25/01933Instituto de Salud Carlos III PMP21/00107Instituto de Salud Carlos III PMP22/00054
6 · The paper itself

Abstract

Carcinosarcomas (CSs) are aggressive biphasic tumors characterized by epithelial and mesenchymal components, whose histogenesis and differentiation dynamics remain poorly understood. We present single-nucleus RNA sequencing (snRNA-seq) analysis of six CSs (five endometrial and one ovarian) and two normal endometrial samples, profiling over 96,298 cells. By integrating transcriptomic data with inferred copy number variations (CNVs), immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and in situ hybridization (ISH) validation, we resolved the complex cellular architecture of these tumors, identified lineage-specific programs, and revealed unexpected differentiation trajectories. snRNA-seq was used to further refine the histopathological classification of three cases by uncovering heterologous differentiation not previously recognized: one rhabdomyogenic, one osteogenic, and, notably, one exhibiting a novel tenogenic program, defined by the expression of SCX, MKX, and TNMD. All CSs displayed a prominent mesenchymal compartment comprising both undifferentiated fibroblast-like cells and distinct lineage committed populations, including rhabdomyoblasts (Rhab), tenoblasts (Teno), osteoblasts (Osteo), and chondroblasts (Chond). In some tumors, multiple mesenchymal identities co-existed, and in others, differentiation gradients (e.g. immature versus mature rhabdomyoblasts) were observed. These patterns underscore the cellular plasticity and multilineage potential of the sarcomatous component. Furthermore, the expression of specialized interface markers (COL22A1, NCAM1, ACAN, CHRNG, MUSK) suggests that some tumors use structured developmental programs reminiscent of the muscle-tendon junction, enthesis, or neuromuscular junction. CNV analysis revealed tumor-specific genomic alterations with clonal and subclonal patterns linked to differentiation state, which were validated by FISH. Altogether, this study demonstrates that CSs are not static biphasic tumors but rather complex ecosystems with extensive developmental plasticity. Our findings redefine their classification and support the use of single-nucleus approaches to uncover hidden differentiation trajectories in highly heterogeneous cancers, including the discovery of a previously unreported tenogenic lineage. Our results challenge the diagnosis of homologous CS when only morphological criteria are applied. © 2026 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

Biomarkers, TumorCarcinosarcomaCell DifferentiationEndometrial NeoplasmsCell LineageDNA Copy Number VariationsFemaleHumansIn Situ Hybridization, FluorescenceRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression AnalysisBiomarkers, Tumorcarcinosarcomascellular heterogeneityendometriumheterologous differentiationmesenchymal lineagesplasticitysnRNA‐seqtenogenic differentiation

Identifiers

PMID41537454
PMCPMC12805614

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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.