Evidence map›Paper›PMID 42278404›Full record

ArticleInternational journal of molecular sciences2026

Disseminated Tumor Cells (DTCs) in Patients with Cervical Cancer Reveal Mesenchymal Properties and Potential Therapeutic Targets-A New Perspective?

Elisa Brochwitz, Ivonne Nel, Anne Eckardt, Laura Weydandt, Anne Kathrin Höhn, Karsten Winter, Bahriye Aktas

Abstract read
In one paragraph

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

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

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

7 authors.

Elisa BrochwitzDepartment of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.
Ivonne NelDepartment of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.
Anne EckardtDepartment of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.
Laura WeydandtDepartment of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0001-5216-3547
Anne Kathrin HöhnDepartment of Pathology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.
Karsten WinterInstitute of Anatomy, Medical Faculty, Leipzig University, 04103 Leipzig, Germany.
Bahriye AktasDepartment of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0002-5474-051X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite effective primary treatment, approximately 20% of cervical cancer patients experience recurrence, which may be driven by early hematogenous dissemination. While circulating (CTCs) and disseminated tumor cells (DTCs) are established prognostic markers in breast cancer, their role in cervical cancer remains poorly defined. Current detection methods rely predominantly on cytokeratin (CK) expression, but epithelial-mesenchymal transition (EMT) may lead to CK downregulation, potentially compromising detection sensitivity. We analyzed bone marrow (

Indexed as

Epithelial-Mesenchymal TransitionNeoplastic Cells, CirculatingUterine Cervical NeoplasmsAdultAgedB7-H1 AntigenBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16FemaleHumansKeratinsMiddle AgedPrognosisVascular Endothelial Growth Factor AVimentinB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCyclin-Dependent Kinase Inhibitor p16KeratinsVascular Endothelial Growth Factor AVimentincervical cancercirculating tumor cells (CTCs)cytokeratindisseminated tumor cells (DTCs)epithelial–mesenchymal transition (EMT)p16PD-L1phenotypeVEGFVimentin

Identifiers

PMID42278404
PMCPMC13256168

What OpenQuestion holds

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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.