Evidence map›Paper›PMID 18067675›Full record

ArticleBreast cancer research : BCR2007

Regulator of G-protein signalling 2 mRNA is differentially expressed in mammary epithelial subpopulations and over-expressed in the majority of breast cancers.

Matthew J Smalley, Marjan Iravani, Maria Leao, Anita Grigoriadis, Howard Kendrick, Tim Dexter, Kerry Fenwick, Joseph L Regan, Kara Britt, Sarah McDonald and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  17. Raising gestational choline intake alters gene expression in DMBA-evoked mammary tumors and prolongs survival.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2009
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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

13 authors at 2 institutions in 1 country.

Matthew J SmalleyBreakthrough Breast Cancer Research Centre, The Institute of Cancer Research, Fulham Road, London SW3 6JB, UK. matthew.smalley@icr.ac.uk
Marjan Iravani
Maria Leao
Anita Grigoriadis
Howard Kendrick
Tim Dexter
Kerry Fenwick
Joseph L Regan
Kara Britt
Sarah McDonald
Christopher J Lord
Alan Mackay
Alan Ashworth
Institute of Cancer Research · GBBreast Cancer Now · GB

Funding

Breast Cancer Now BREAST CANCER NOW RESEARCH CENTRE
6 · The paper itself

Abstract

introductionTo understand which signalling pathways become deregulated in breast cancer, it is necessary to identify functionally significant gene expression patterns in the stem, progenitor, transit amplifying and differentiated cells of the mammary epithelium. We have previously used the markers 33A10, CD24 and Sca-1 to identify mouse mammary epithelial cell subpopulations. We now investigate the relationship between cells expressing these markers and use gene expression microarray analysis to identify genes differentially expressed in the cell populations.

methodsFreshly isolated primary mouse mammary epithelial cells were separated on the basis of staining with the 33A10 antibody and an alpha-Sca-1 antibody. The populations identified were profiled using gene expression microarray analysis. Gene expression patterns were confirmed on normal mouse and human mammary epithelial subpopulations and were examined in a panel of breast cancer samples and cell lines.

resultsAnalysis of the separated populations demonstrated that Sca-1- 33A10High stained cells were estrogen receptor alpha (Esr1)- luminal epithelial cells, whereas Sca-1+ 33A10Low/- stained cells were a mix of nonepithelial cells and Esr1+ epithelial cells. Analysis of the gene expression data identified the gene Rgs2 (regulator of G-protein signalling 2) as being highly expressed in the Sca-1- 33A10Low/- population, which included myoepithelial/basal cells. RGS2 has previously been described as a regulator of angiotensin II receptor signalling. Gene expression analysis by quantitative real-time RT-PCR of cells separated on the basis of CD24 and Sca-1 expression confirmed that Rgs2 was more highly expressed in mouse myoepithelial/basal mammary cells than luminal cells. This expression pattern was conserved in normal human breast cells. Functional analysis demonstrated RGS2 to be a modulator of oxytocin receptor signalling. The potential significance of RGS2 expression in breast cancer was demonstrated by semi-quantitative RT-PCR analysis, data mining and quantitative real-time RT-PCR approaches, which showed that RGS2 was expressed in the majority of solid breast cancers at much higher levels than in normal human mammary cells.

conclusionMolecular analysis of prospectively isolated mammary epithelial cells identified RGS2 as a modulator of oxytocin receptor signalling, which is highly expressed in the myoepithelial cells. The RGS2 gene, but not the oxytocin receptor, was also shown to be over-expressed in the majority of breast cancers, identifying the product of this gene, or the pathway(s) it regulates, as potentially significant therapeutic targets.

Indexed as

Signal TransductionAnimalsBreast NeoplasmsEpithelial CellsFemaleFlow CytometryGene Expression ProfilingGene Expression Regulation, NeoplasticGTP-Binding ProteinsMammary Glands, AnimalMiceOligonucleotide Array Sequence AnalysisReceptors, OxytocinReverse Transcriptase Polymerase Chain ReactionRGS ProteinsRNA, MessengerGTP-Binding ProteinsReceptors, OxytocinRGS2 protein, humanRgs2 protein, mouseRGS ProteinsRNA, Messenger

Identifiers

PMID18067675
PMCPMC2246188
OpenAlexW2112304596

What OpenQuestion holds

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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.