Evidence map›Paper›PMID 19262752›Full record

ArticlePloS one2009

A functional and regulatory network associated with PIP expression in human breast cancer.

Marie-Anne Debily, Sandrine El Marhomy, Virginie Boulanger, Eric Eveno, Régine Mariage-Samson, Alessandra Camarca, Charles Auffray, Dominique Piatier-Tonneau, Sandrine Imbeaud

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Heat shock protein 27 and gross cystic disease fluid protein 15 play critical roles in molecular apocrine breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

9 authors at 2 institutions in 2 countries.

Marie-Anne DebilyArray s/IMAGE, Genexpress, Functional Genomics and Systems Biology for Health, LGN-UMR 7091-CNRS and Pierre & Marie Curie University, Paris VI, Villejuif, France. marie-anne.debily@cea.fr
Sandrine El Marhomy
Virginie Boulanger
Eric Eveno
Régine Mariage-Samson
Alessandra Camarca
Charles Auffray
Dominique Piatier-Tonneau
Sandrine Imbeaud
Centre National de la Recherche Scientifique · FRUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe PIP (prolactin-inducible protein) gene has been shown to be expressed in breast cancers, with contradictory results concerning its implication. As both the physiological role and the molecular pathways in which PIP is involved are poorly understood, we conducted combined gene expression profiling and network analysis studies on selected breast cancer cell lines presenting distinct PIP expression levels and hormonal receptor status, to explore the functional and regulatory network of PIP co-modulated genes. PRINCIPAL

findingsMicroarray analysis allowed identification of genes co-modulated with PIP independently of modulations resulting from hormonal treatment or cell line heterogeneity. Relevant clusters of genes that can discriminate between [PIP+] and [PIP-] cells were identified. Functional and regulatory network analyses based on a knowledge database revealed a master network of PIP co-modulated genes, including many interconnecting oncogenes and tumor suppressor genes, half of which were detected as differentially expressed through high-precision measurements. The network identified appears associated with an inhibition of proliferation coupled with an increase of apoptosis and an enhancement of cell adhesion in breast cancer cell lines, and contains many genes with a STAT5 regulatory motif in their promoters.

conclusionsOur global exploratory approach identified biological pathways modulated along with PIP expression, providing further support for its good prognostic value of disease-free survival in breast cancer. Moreover, our data pointed to the importance of a regulatory subnetwork associated with PIP expression in which STAT5 appears as a potential transcriptional regulator.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksApoptosisBreast NeoplasmsCarrier ProteinsCell AdhesionCell Line, TumorCell ProliferationCluster AnalysisDisease-Free SurvivalFemaleGlycoproteinsHumansMembrane Transport ProteinsOligonucleotide Array Sequence AnalysisPrognosisCarrier ProteinsGlycoproteinsMembrane Transport ProteinsPIP protein, humanSTAT5 Transcription Factor

Identifiers

PMID19262752
PMCPMC2650800
OpenAlexW2002375937

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.