Evidence map›Paper›PMID 19342369›Full record

ReviewThe American journal of pathology2009

Epithelial-mesenchymal transition: a cancer researcher's conceptual friend and foe.

Michael W Klymkowsky, Pierre Savagner

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 266 papers.

0numbers the graph read from it
0cells of the map it votes in
266citing papers in PubMed
22.7field-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

266 citing papers in PubMed, 536 citations in OpenAlex.

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206 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

2 authors at 2 institutions in 2 countries.

Michael W KlymkowskyDepartment of Molecular, Cellular, and Development Biology, University of Colorado, Boulder, Colorado, USA.
Pierre Savagner
Institut de Recherche en Cancérologie de Montpellier · FRUniversity of Colorado Boulder · US

Funding

FASEB SUMMER CONFERENCE ON PHOSPHOLIPASESR13GM058004 · NIGMS · FEDERATION OF AMER SOC FOR EXPER BIOLOGY · PI LESLIE, CHRISTINA CARROLL · 1998 to 1998
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NIGMS NIH HHS GM58004
6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) describes a series of rapid changes in cellular phenotype. During EMT, epithelial cells down-modulate cell-cell adhesion structures, alter their polarity, reorganize their cytoskeleton, and become isolated, motile, and resistant to anoikis. The term EMT is often applied to distinct biological events as if it were a single conserved process, but in fact EMT-related processes can vary in intensity from a transient loss of cell polarity to the total cellular reprogramming, as found by transcriptional analysis. Based on clinical observations, it is more appropriate in most cases to describe the emergence of an EMT-like phenotype during tumor progression. Although EMT implies complete trans-differentiation, EMT-like emphasizes the intermediary phenotype associated with tumor cell renewal and adaptation to specific microenvironments. Here, we categorize the various EMT-like phenotypes found in human carcinomas that, depending on the tumor type, may or not represent analogous stages in tumor progression. We based these categories on the global tumor phenotype. The tumor microenvironment, which is associated with stromal reactions, hypoxia, paucity of nutrients, impaired differentiation, and activation of various EMT-associated pathways, modulates overall tumor phenotype and leads to tumor heterogeneity.

Indexed as

Disease ProgressionEpithelial CellsHumansMesodermNeoplasms

Identifiers

PMID19342369
PMCPMC2671246
OpenAlexW1497663772

What OpenQuestion holds

Textmetadata
LicenceTDM
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.