Evidence map›Paper›PMID 20863401›Full record

ArticleMolecular cancer2010

Runx2 transcriptome of prostate cancer cells: insights into invasiveness and bone metastasis.

Sanjeev K Baniwal, Omar Khalid, Yankel Gabet, Ruchir R Shah, Daniel J Purcell, Deepak Mav, Alice E Kohn-Gabet, Yunfan Shi, Gerhard A Coetzee, Baruch Frenkel

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 173 citations in OpenAlex.

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44 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 4 institutions in 1 country.

Sanjeev K BaniwalDepartment of Biochemistry & Molecular Biology, University of Southern California, Los Angeles, CA, USA. baniwal@usc.edu
Omar Khalid
Yankel Gabet
Ruchir R Shah
Daniel J Purcell
Deepak Mav
Alice E Kohn-Gabet
Yunfan Shi
Gerhard A Coetzee
Baruch Frenkel
University of Southern California · USResearch Triangle Park Foundation · USSRA International (United States) · USUSC Norris Comprehensive Cancer Center · US

Funding

Prostate Cancer Risk EnhancersR01CA136924 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COETZEE, GERHARD A, FARNHAM, PEGGY J · 2010 to 2019
$5.4M
AR and RUNX2 target genes in prostate cancerR01CA109147 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COETZEE, GERHARD A · 2006 to 2010
$1.3M
NCI NIH HHS R01 CA 109147NCI NIH HHS R01 CA 136924
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) cells preferentially metastasize to bone at least in part by acquiring osteomimetic properties. Runx2, an osteoblast master transcription factor, is aberrantly expressed in PCa cells, and promotes their metastatic phenotype. The transcriptional programs regulated by Runx2 have been extensively studied during osteoblastogenesis, where it activates or represses target genes in a context-dependent manner. However, little is known about the gene regulatory networks influenced by Runx2 in PCa cells. We therefore investigated genome wide mRNA expression changes in PCa cells in response to Runx2.

resultsWe engineered a C4-2B PCa sub-line called C4-2B/Rx2 dox, in which Doxycycline (Dox) treatment stimulates Runx2 expression from very low to levels observed in other PCa cells. Transcriptome profiling using whole genome expression array followed by in silico analysis indicated that Runx2 upregulated a multitude of genes with prominent cancer associated functions. They included secreted factors (CSF2, SDF-1), proteolytic enzymes (MMP9, CST7), cytoskeleton modulators (SDC2, Twinfilin, SH3PXD2A), intracellular signaling molecules (DUSP1, SPHK1, RASD1) and transcription factors (Sox9, SNAI2, SMAD3) functioning in epithelium to mesenchyme transition (EMT), tissue invasion, as well as homing and attachment to bone. Consistent with the gene expression data, induction of Runx2 in C4-2B cells enhanced their invasiveness. It also promoted cellular quiescence by blocking the G1/S phase transition during cell cycle progression. Furthermore, the cell cycle block was reversed as Runx2 levels declined after Dox withdrawal.

conclusionsThe effects of Runx2 in C4-2B/Rx2 dox cells, as well as similar observations made by employing LNCaP, 22RV1 and PC3 cells, highlight multiple mechanisms by which Runx2 promotes the metastatic phenotype of PCa cells, including tissue invasion, homing to bone and induction of high bone turnover. Runx2 is therefore an attractive target for the development of novel diagnostic, prognostic and therapeutic approaches to PCa management. Targeting Runx2 may prove more effective than focusing on its individual downstream genes and pathways.

Indexed as

Adaptor Proteins, Vesicular TransportApoptosisBiomarkers, TumorBone NeoplasmsCell CycleCell Line, TumorCell ProliferationChemokine CXCL12Core Binding Factor Alpha 1 SubunitCystatinsDual Specificity Phosphatase 1Gene Expression Regulation, NeoplasticGranulocyte-Macrophage Colony-Stimulating FactorHumansMaleMatrix Metalloproteinase 9Adaptor Proteins, Vesicular TransportBiomarkers, TumorChemokine CXCL12Core Binding Factor Alpha 1 SubunitCST7 protein, humanCystatinsDual Specificity Phosphatase 1DUSP1 protein, humanGranulocyte-Macrophage Colony-Stimulating FactorMatrix Metalloproteinase 9Microfilament ProteinsProtein-Tyrosine KinasesRUNX2 protein, humanSDC2 protein, humanSH3PXD2A protein, humanSyndecan-2TWF1 protein, human

Identifiers

PMID20863401
PMCPMC2955618
OpenAlexW2107118735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.