Evidence map›Paper›PMID 41046340›Full record

ArticleMolecular oncology2025

Characterizing epithelial-mesenchymal transition-linked heterogeneity in breast cancer circulating tumor cells at a single-cell level.

Justyna Topa, Julia Richert, Tomasz Stokowy, Alicja Staśczak, Mariusz Szajewski, Maciej Ciesielski, Petra M Grešner, Bartłomiej Tomasik, Łukasz Arcimowicz, Agnieszka Stankiewicz and 5 more

Abstract read
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

15 authors.

Justyna TopaLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.ORCID 0000-0002-1065-2825
Julia RichertLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.
Tomasz StokowyScientific Computing Group, IT Division, University of Bergen, Norway.
Alicja StaśczakDepartment of Systems Biology and Engineering, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.
Mariusz SzajewskiDepartment of Oncological Surgery, Gdynia Oncology Centre, Pomeranian Hospitals, Gdynia, Poland.
Maciej CiesielskiDepartment of Oncological Surgery, Gdynia Oncology Centre, Pomeranian Hospitals, Gdynia, Poland.
Petra M GrešnerCentre of Biostatistics and Bioinformatics, Medical University of Gdańsk, Poland.
Bartłomiej TomasikCentre for Experimental Cardiooncology, Medical University of Gdańsk, Poland.
Łukasz ArcimowiczLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.ORCID 0000-0003-2073-619X
Agnieszka StankiewiczLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.
Grażyna SuchodolskaDepartment of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdańsk, Poland.
Elżbieta SenkusDepartment of Oncology and Radiotherapy, Faculty of Medicine, Medical University of Gdańsk, Poland.
Wiesław KruszewskiDepartment of Oncological Surgery, Gdynia Oncology Centre, Pomeranian Hospitals, Gdynia, Poland.
Anna J ŻaczekLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.
Aleksandra MarkiewiczLaboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology University of Gdańsk and Medical Univeristy of Gdańsk, Medical University of Gdańsk, Poland.ORCID 0000-0003-4590-4698

Funding

National Centre for Research and Development, Poland WPC/33HESCAP/2019National Science Centre, Poland 2016/21/D/NZ3/02629National Science Centre, Poland 2020/39/I/NZ5/03434
6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) generates heterogeneity in circulating tumor cells (CTCs), affecting their biological properties and hampering their detection. This limits our understanding of the mechanisms underlying hematogenous dissemination, especially in early breast cancer (BC), where CTCs are rare. Here, we aimed to detect CTCs with different EMT statuses from BC patients. CTCs in blood samples from 107 BC patients were evaluated using immunomagnetic depletion and multi-marker immunofluorescence (EpCAM, E-cadherin, MCAM, cell surface vimentin, CD31, CD45), followed by single-cell transcriptomics. CTCs were detected in 51.9% of therapy-naïve early BC cases, with 3.8% showing only epithelial CTCs (eCTCs), 5.8% epithelial-mesenchymal (emCTCs), 26.0% mesenchymal (mCTCs), and 16.3% mixed phenotypes. CTC heterogeneity was more frequent in triple-negative (86%) than in luminal BC (17%, P = 0.008). Lymph node involvement strongly predicted dissemination of all CTC phenotypes, while tumor size correlated with mCTC abundance. Single-cell RNA sequencing revealed downregulation of ribosomal genes and translation inhibition in CTCs with mesenchymal features, linked to mTORC1 signaling. Findings were also validated in an independent dataset, highlighting vulnerabilities in CTCs during dissemination.

Indexed as

Breast NeoplasmsEpithelial-Mesenchymal TransitionNeoplastic Cells, CirculatingSingle-Cell AnalysisAdultAgedBiomarkers, TumorFemaleHumansMiddle AgedBiomarkers, Tumorbreast cancercirculating tumor cellsepithelial–mesenchymal transitionmetastasisRNA‐Seqsingle cell transcriptomics

Identifiers

PMID41046340
PMCPMC12688172

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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.