Evidence map›Paper›PMID 24762440›Full record

ArticleThe Journal of clinical investigation2014

ZEB1 sensitizes lung adenocarcinoma to metastasis suppression by PI3K antagonism.

Yanan Yang, Young-Ho Ahn, Yulong Chen, Xiaochao Tan, Lixia Guo, Don L Gibbons, Christin Ungewiss, David H Peng, Xin Liu, Steven H Lin and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
8.1field-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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

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18 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

16 authors at 5 institutions in 2 countries.

Yanan Yang
Young-Ho Ahn
Yulong Chen
Xiaochao Tan
Lixia Guo
Don L Gibbons
Christin Ungewiss
David H Peng
Xin Liu
Steven H Lin
Nishan Thilaganathan
Ignacio I Wistuba
Jaime Rodriguez-Canales
Georgia McLendon
Chad J Creighton
Jonathan M Kurie
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USEwha Womans University · KRMayo Clinic · USMayo Clinic in Arizona · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
TRAINING PROGRAM IN MOLECULAR GENETICS OF CANCERT32CA009299 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LOZANO, GUILLERMINA · 1985 to 2014
$4.7M
Regulation of Lung Cancer Metastasis by miR-200R01CA157450 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KURIE, JONATHAN M · 2011 to 2015
$1.6M
MicroRNA-200 family regulation by the apical-basal polarity complexes in EMT andK08CA151651 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GIBBONS, DON LYNN · 2010 to 2014
$853k
NCI NIH HHS K08 CA151651NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA70907NCI NIH HHS R01 CA157450NCI NIH HHS T32 CA009299
6 · The paper itself

Abstract

Epithelial tumor cells that have undergone epithelial-to-mesenchymal transition (EMT) are typically prone to metastasis and drug resistance and contribute to a poor clinical outcome. The transcription factor ZEB1 is a known driver of EMT, and mediators of ZEB1 represent potential therapeutic targets for metastasis suppression. Here, we have shown that phosphatidylinositol 3-kinase-targeted (PI3K-targeted) therapy suppresses metastasis in a mouse model of Kras/Tp53-mutant lung adenocarcinoma that develops metastatic disease due to high expression of ZEB1. In lung adenocarcinoma cells from Kras/Tp53-mutant animals and human lung cancer cell lines, ZEB1 activated PI3K by derepressing miR-200 targets, including amphiregulin (AREG), betacellulin (BTC), and the transcription factor GATA6, which stimulated an EGFR/ERBB2 autocrine loop. Additionally, ZEB1-dependent derepression of the miR-200 and miR-183 target friend of GATA 2 (FOG2) enhanced GATA3-induced expression of the p110α catalytic subunit of PI3K. Knockdown of FOG2, p110α, and RHEB ameliorated invasive and metastatic propensities of tumor cells. Surprisingly, FOG2 was not required for mesenchymal differentiation, suggesting that mesenchymal differentiation and invasion are distinct and separable processes. Together, these results indicate that ZEB1 sensitizes lung adenocarcinoma cells to metastasis suppression by PI3K-targeted therapy and suggest that treatments to selectively modify the metastatic behavior of mesenchymal tumor cells are feasible and may be of clinical value.

Indexed as

Phosphoinositide-3 Kinase InhibitorsAdenocarcinomaAdenocarcinoma of LungAnimalsCell Line, TumorEnzyme InhibitorsEpithelial-Mesenchymal TransitionErb-b2 Receptor Tyrosine KinasesErbB ReceptorsGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticGenes, p53GonanesHomeodomain ProteinsHumansKruppel-Like Transcription FactorsEGFR protein, mouseEnzyme InhibitorsErbb2 protein, mouseErb-b2 Receptor Tyrosine KinasesErbB ReceptorsGonanesHomeodomain ProteinsHras protein, mouseKruppel-Like Transcription FactorsPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins p21(ras)PX-866Transcription FactorsZEB1 protein, humanZEB1 protein, mouseZinc Finger E-box-Binding Homeobox 1

Identifiers

PMID24762440
PMCPMC4038569
OpenAlexW2165903333

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.