Evidence map›Paper›PMID 22333974›Full record

ArticleMolecular systems biology2012

Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer.

Stefan Uhlmann, Heiko Mannsperger, Jitao David Zhang, Emöke-Ágnes Horvat, Christian Schmidt, Moritz Küblbeck, Frauke Henjes, Aoife Ward, Ulrich Tschulena, Katharina Zweig and 3 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 1 pooled it
8.4field-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

123 citing papers in PubMed, 1 synthesis or guideline pooled it, 201 citations in OpenAlex.

  1. Pooled it
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  14. Trials and Tribulations of MicroRNA Therapeutics.International journal of molecular sciences · 2024
    Review
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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 3 countries.

Stefan UhlmannDivision of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany.
Heiko Mannsperger
Jitao David Zhang
Emöke-Ágnes Horvat
Christian Schmidt
Moritz Küblbeck
Frauke Henjes
Aoife Ward
Ulrich Tschulena
Katharina Zweig
Ulrike Korf
Stefan Wiemann
Ozgür Sahin
Heidelberg University · DEGerman Cancer Research Center · DEHeidelberg University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The EGFR-driven cell-cycle pathway has been extensively studied due to its pivotal role in breast cancer proliferation and pathogenesis. Although several studies reported regulation of individual pathway components by microRNAs (miRNAs), little is known about how miRNAs coordinate the EGFR protein network on a global miRNA (miRNome) level. Here, we combined a large-scale miRNA screening approach with a high-throughput proteomic readout and network-based data analysis to identify which miRNAs are involved, and to uncover potential regulatory patterns. Our results indicated that the regulation of proteins by miRNAs is dominated by the nucleotide matching mechanism between seed sequences of the miRNAs and 3'-UTR of target genes. Furthermore, the novel network-analysis methodology we developed implied the existence of consistent intrinsic regulatory patterns where miRNAs simultaneously co-regulate several proteins acting in the same functional module. Finally, our approach led us to identify and validate three miRNAs (miR-124, miR-147 and miR-193a-3p) as novel tumor suppressors that co-target EGFR-driven cell-cycle network proteins and inhibit cell-cycle progression and proliferation in breast cancer.

Indexed as

Breast NeoplasmsCarcinomaCell Cycle ProteinsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, erbB-1High-Throughput Screening AssaysHumansMetabolic Networks and PathwaysMicroRNAsModels, BiologicalProtein BindingProteomicsTranscriptomeCell Cycle ProteinsMicroRNAsMIRN124 microRNA, humanMIRN147 microRNA, humanMIRN193 microRNA, human

Identifiers

PMID22333974
PMCPMC3293631
OpenAlexW2170873880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.