Evidence map›Paper›PMID 17600130›Full record

ReviewThe American journal of pathology2007

Epithelial cell adhesion molecule: more than a carcinoma marker and adhesion molecule.

Monika Trzpis, Pamela M J McLaughlin, Lou M F H de Leij, Martin C Harmsen

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of pathology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 294 papers.

0numbers the graph read from it
0cells of the map it votes in
294citing papers in PubMed
11.0field-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

294 citing papers in PubMed, 563 citations in OpenAlex.

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  16. Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.International journal of molecular sciences · 2025
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234 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

4 authors at 2 institutions in 1 country.

Monika TrzpisDepartment of Pathology and Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Pamela M J McLaughlin
Lou M F H de Leij
Martin C Harmsen
University of Groningen · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial cell adhesion molecule (EpCAM, CD326) is a glycoprotein of approximately 40 kd that was originally identified as a marker for carcinoma, attributable to its high expression on rapidly proliferating tumors of epithelial origin. Normal epithelia express EpCAM at a variable but generally lower level than carcinoma cells. In early studies, EpCAM was proposed to be a cell-cell adhesion molecule. However, recent insights revealed a more versatile role for EpCAM that is not limited only to cell adhesion but includes diverse processes such as signaling, cell migration, proliferation, and differentiation. Cell surface expression of EpCAM may actually prevent cell-cell adhesion. Here, we provide a comprehensive review of the current knowledge on EpCAM biology in relation to other cell adhesion molecules. We discuss the implications of the newly identified functions of EpCAM in view of its prognostic relevance in carcinoma, inflammatory pathophysiology, and tissue development and regeneration as well as its role in normal epithelial homeostasis.

Indexed as

Antigens, NeoplasmBiomarkers, TumorCarcinomaCell Adhesion MoleculesCell CycleCell ProliferationEpithelial Cell Adhesion MoleculeHumansModels, BiologicalNeoplasmsSignal TransductionAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesEPCAM protein, humanEpithelial Cell Adhesion Molecule

Identifiers

PMID17600130
PMCPMC1934518
OpenAlexW2111708038

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.