Evidence map›Paper›PMID 24059244›Full record

ArticleBMC genomics2013

Integrated genomic analysis of triple-negative breast cancers reveals novel microRNAs associated with clinical and molecular phenotypes and sheds light on the pathways they control.

Emanuele de Rinaldis, Patrycja Gazinska, Anca Mera, Zora Modrusan, Grazyna M Fedorowicz, Brian Burford, Cheryl Gillett, Pierfrancesco Marra, Anita Grigoriadis, David Dornan and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

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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.

Emanuele de RinaldisBreakthrough Breast Cancer Research Unit, Division of Cancer Studies, School of Medicine, King's College London, Guy's Hospital, London, UK. emanuele.de_rinaldis@kcl.ac.uk.
Patrycja Gazinska
Anca Mera
Zora Modrusan
Grazyna M Fedorowicz
Brian Burford
Cheryl Gillett
Pierfrancesco Marra
Anita Grigoriadis
David Dornan
Lars Holmberg
Sarah Pinder
Andrew Tutt

Funding

Cancer Research UK
6 · The paper itself

Abstract

backgroundThis study focuses on the analysis of miRNAs expression data in a cohort of 181 well characterised breast cancer samples composed primarily of triple-negative (ER/PR/HER2-negative) tumours with associated genome-wide DNA and mRNA data, extensive patient follow-up and pathological information.

resultsWe identified 7 miRNAs associated with prognosis in the triple-negative tumours and an additional 7 when the analysis was extended to the set of all ER-negative cases. miRNAs linked to an unfavourable prognosis were associated with a broad spectrum of motility mechanisms involved in the invasion of stromal tissues, such as cell-adhesion, growth factor-mediated signalling pathways, interaction with the extracellular matrix and cytoskeleton remodelling. When we compared different intrinsic molecular subtypes we found 46 miRNAs that were specifically expressed in one or more intrinsic subtypes. Integrated genomic analyses indicated these miRNAs to be influenced by DNA genomic aberrations and to have an overall influence on the expression levels of their predicted targets. Among others, our analyses highlighted the role of miR-17-92 and miR-106b-25, two polycistronic miRNA clusters with known oncogenic functions. We showed that their basal-like subtype specific up-regulation is influenced by increased DNA copy number and contributes to the transcriptional phenotype as well as the activation of oncogenic pathways in basal-like tumours.

conclusionsThis study analyses previously unreported miRNA, mRNA and DNA data and integrates these with pathological and clinical information, from a well-annotated cohort of breast cancers enriched for triple-negative subtypes. It provides a conceptual framework, as well as integrative methods and system-level results and contributes to elucidate the role of miRNAs as biomarkers and modulators of oncogenic processes in these types of tumours.

Indexed as

Gene Expression Regulation, NeoplasticGenomicsPhenotypeSignal TransductionCluster AnalysisDNA Copy Number VariationsFemaleFollow-Up StudiesGene DosageGene Expression ProfilingHumansMicroRNAsPolymorphism, Single NucleotidePrognosisRNA InterferenceTranscription, GeneticMicroRNAs

Identifiers

PMID24059244
PMCPMC4008358

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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.