Evidence map›Paper›PMID 18648847›Full record

ReviewHistochemistry and cell biology2008

Molecular and pathological signatures of epithelial-mesenchymal transitions at the cancer invasion front.

Olivier De Wever, Patrick Pauwels, Bram De Craene, Michèle Sabbah, Shahin Emami, Gérard Redeuilh, Christian Gespach, Marc Bracke, Geert Berx

Open access · bronzeAbstract readReview
In one paragraph

Review in Histochemistry and cell biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
9.5field-weighted citation impact, top 1% of its field
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

119 citing papers in PubMed, 224 citations in OpenAlex.

  1. Article
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  5. Microfabricated Organ-Specific Models of Tumor Microenvironments.Annual review of biomedical engineering · 2025
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59 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Olivier De WeverLaboratory of Experimental Cancer Research, Department of Radiotherapy and Nuclear Medicine, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium. olivier.dewever@UGent.be
Patrick Pauwels
Bram De Craene
Michèle Sabbah
Shahin Emami
Gérard Redeuilh
Christian Gespach
Marc Bracke
Geert Berx
Ghent University Hospital · BEInserm · FRGhent University · BESorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduction of epithelial cell-cell adhesion via the transcriptional repression of cadherins in combination with the acquisition of mesenchymal properties are key determinants of epithelial-mesenchymal transition (EMT). EMT is associated with early stages of carcinogenesis, cancer invasion and recurrence. Furthermore, the tumor stroma dictates EMT through intensive bidirectional communication. The pathological analysis of EMT signatures is critically, especially to determine the presence of cancer cells at the resection margins of a tumor. When diffusion barriers disappear, EMT markers may be detected in sera from cancer patients. The detection of EMT signatures is not only important for diagnosis but can also be exploited to enhance classical chemotherapy treatments. In conclusion, further detailed understanding of the contextual cues and molecular mediators that control EMT will be required in order to develop diagnostic tools and small molecule inhibitors with potential clinical implications.

Indexed as

Cell DifferentiationAnimalsBody FluidsEpithelial CellsExtracellular SpaceHumansMesenchymal Stem CellsNeoplasm Invasiveness

Identifiers

PMID18648847
PMCPMC2522326
OpenAlexW2117962623

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.