Evidence map›Paper›PMID 21194007›Full record

ArticleClinical & experimental metastasis2011

A systems view of epithelial-mesenchymal transition signaling states.

Stuart Thomson, Filippo Petti, Izabela Sujka-Kwok, Peter Mercado, James Bean, Melissa Monaghan, Sean L Seymour, Gretchen M Argast, David M Epstein, John D Haley

Open access · hybridAbstract read
In one paragraph

Article in Clinical & experimental metastasis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

132 citing papers in PubMed, 211 citations in OpenAlex.

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72 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

10 authors at 1 institution in 1 country.

Stuart ThomsonTranslational Research, OSI Pharmaceuticals Inc, 1 Bioscience Park Drive, Farmingdale, NY 11735, USA.
Filippo Petti
Izabela Sujka-Kwok
Peter Mercado
James Bean
Melissa Monaghan
Sean L Seymour
Gretchen M Argast
David M Epstein
John D Haley
Sciex (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is an important contributor to the invasion and metastasis of epithelial-derived cancers. While considerable effort has focused in the regulators involved in the transition process, we have focused on consequences of EMT to prosurvival signaling. Changes in distinct metastable and 'epigentically-fixed' EMT states were measured by correlation of protein, phosphoprotein, phosphopeptide and RNA transcript abundance. The assembly of 1167 modulated components into functional systems or machines simplified biological understanding and increased prediction confidence highlighting four functional groups: cell adhesion and migration, metabolism, transcription nodes and proliferation/survival networks. A coordinate metabolic reduction in a cluster of 17 free-radical stress pathway components was observed and correlated with reduced glycolytic and increased oxidative phosphorylation enzyme capacity, consistent with reduced cell cycling and reduced need for macromolecular biosynthesis in the mesenchymal state. An attenuation of EGFR autophosphorylation and a switch from autocrine to paracrine-competent EGFR signaling was implicated in the enablement of tumor cell chemotaxis. A similar attenuation of IGF1R, MET and RON signaling with EMT was observed. In contrast, EMT increased prosurvival autocrine IL11/IL6-JAK2-STAT signaling, autocrine fibronectin-integrin α5β1 activation, autocrine Axl/Tyro3/PDGFR/FGFR RTK signaling and autocrine TGFβR signaling. A relatively uniform loss of polarity and cell-cell junction linkages to actin cytoskeleton and intermediate filaments was measured at a systems level. A more heterogeneous gain of ECM remodeling and associated with invasion and migration was observed. Correlation to stem cell, EMT, invasion and metastasis datasets revealed the greatest similarity with normal and cancerous breast stem cell populations, CD49f(hi)/EpCAM(-/lo) and CD44(hi)/CD24(lo), respectively.

Indexed as

Epithelial-Mesenchymal TransitionSignal TransductionCarcinoma, Non-Small-Cell LungEpithelial CellsExtracellular MatrixHomeodomain ProteinsHumansPhosphorylationReceptors, Fibroblast Growth FactorTranscription FactorsTumor Cells, CulturedZinc Finger E-box-Binding Homeobox 1Homeodomain ProteinsReceptors, Fibroblast Growth FactorTranscription FactorsZEB1 protein, humanZinc Finger E-box-Binding Homeobox 1

Identifiers

PMID21194007
PMCPMC3040305
OpenAlexW2022480285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.