A ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast cancer

Simple item page
dc.citation.issueNumber5en_US
dc.citation.volumeNumber10en_US
dc.contributor.authorOztemur, Y.en_US
dc.contributor.authorBekmez, T.en_US
dc.contributor.authorAydos, A.en_US
dc.contributor.authorYulug I.G.en_US
dc.contributor.authorBozkurt, B.en_US
dc.contributor.authorDedeoglu, B.G.en_US
dc.date.accessioned2016-02-08T09:53:26Z
dc.date.available2016-02-08T09:53:26Z
dc.date.issued2015en_US
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.description.abstractBreast cancer is one of the most important causes of cancer-related deaths worldwide in women. In addition to gene expression studies, the progressing work in the miRNA area including miRNA microarray studies, brings new aspects to the research on the cancer development and progression. Microarray technology has been widely used to find new biomarkers in research and many transcriptomic microarray studies are available in public databases. In this study, the breast cancer miRNA and mRNA microarray studies were collected according to the availability of their data and clinical information, and combined by a newly developed ranking-based meta-analysis approach to find out candidate miRNA biomarkers (meta-miRNAs) that classify breast cancers according to their grades and explain the relation between miRNAs and mRNAs. This approach provided meta-miRNAs specific to breast cancer grades, pointing out let-7 family members as grade classifiers. The qRTPCR studies performed with independent breast tumors confirmed the potential biomarker role of let-7 family members (meta-miRNAs). The concordance between the meta-mRNAs and miRNA target genes specific to tumor grade (common genes) supported the idea of mRNAs as miRNA targets. The pathway analysis results showed that most of the let-7 family miRNA targets, and also common genes, were significantly taking part in cancer-related pathways. The qRT-PCR studies, together with bioinformatic analyses, confirmed the results of meta-analysis approach, which is dynamic and allows combining datasets from different platforms. © 2015 Oztemur et al.en_US
dc.identifier.doi10.1371/journal.pone.0126837en_US
dc.identifier.issn19326203
dc.identifier.urihttp://hdl.handle.net/11693/21948
dc.language.isoEnglishen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0126837en_US
dc.source.titlePLoS ONEen_US
dc.subjectB lymphocyte induced maturation protein 1en_US
dc.subjectbiological markeren_US
dc.subjectdendritic cell lysosome associated membrane proteinen_US
dc.subjectheme oxygenase 1en_US
dc.subjectmammalian target of rapamycinen_US
dc.subjectmessenger RNAen_US
dc.subjectmicroRNAen_US
dc.subjectmicroRNA 30a 3pen_US
dc.subjectmicroRNA 30a 5pen_US
dc.subjectmicroRNA 320en_US
dc.subjectmicroRNA 7en_US
dc.subjectmicroRNA 99aen_US
dc.subjectmicroRNA let 7en_US
dc.subjectmicroRNA let 7aen_US
dc.subjectmicroRNA let 7ben_US
dc.subjectmicroRNA let 7cen_US
dc.subjectmicroRNA let 7den_US
dc.subjectmicroRNA let 7een_US
dc.subjectmicroRNA let 7fen_US
dc.subjectmicroRNA let 7gen_US
dc.subjectmicroRNA let 7ien_US
dc.subjectminichromosome maintenance protein 2en_US
dc.subjectmitogen activated protein kinaseen_US
dc.subjectmonocarboxylate transporter 4en_US
dc.subjectsuppressor of cytokine signaling 1en_US
dc.subjectthioredoxin reductase 1en_US
dc.subjecttransforming growth factor betaen_US
dc.subjectunclassified drugen_US
dc.subjectvasculotropinen_US
dc.subjectapoptosisen_US
dc.subjectArticleen_US
dc.subjectbreast canceren_US
dc.subjectcancer gradingen_US
dc.subjectcell cycleen_US
dc.subjectdown regulationen_US
dc.subjectgeneen_US
dc.subjectgene expression regulationen_US
dc.subjectgenetic associationen_US
dc.subjectHMOX1 geneen_US
dc.subjecthumanen_US
dc.subjecthuman tissueen_US
dc.subjectIQGAP3 geneen_US
dc.subjectLAMP3 geneen_US
dc.subjectLMNB2 geneen_US
dc.subjectMCM2 geneen_US
dc.subjectME1 geneen_US
dc.subjectPOLA2 geneen_US
dc.subjectPOLR2C geneen_US
dc.subjectPRDM1 geneen_US
dc.subjectPSAT1 geneen_US
dc.subjectRDH10 geneen_US
dc.subjectreverse transcription polymerase chain reactionen_US
dc.subjectSAMSN1 geneen_US
dc.subjectSEC24A geneen_US
dc.subjectSELL geneen_US
dc.subjectsignal transductionen_US
dc.subjectSLC16A3 geneen_US
dc.subjectSLC25A13 geneen_US
dc.subjectSLC7A5 geneen_US
dc.subjectSOAT1 geneen_US
dc.subjectSOCS1 geneen_US
dc.subjectSQSTM1 geneen_US
dc.subjectSRM geneen_US
dc.subjectSTMN1 geneen_US
dc.subjectTCF19 geneen_US
dc.subjectTRIP13 geneen_US
dc.subjectTXNRD1 geneen_US
dc.subjectTYMS geneen_US
dc.subjectupregulationen_US
dc.titleA ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast canceren_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast cancer.pdf
Size:
1.66 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Department of Molecular Biology and Genetics