Breast Cancer Biomarker Discovery in the Functional Genomic Age: A Systematic Review of 42 Gene Expression Signatures

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloCentro de Investigaciones Inmunológicas Básicas y Aplicadas es
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2017-09-14T13:42:02Z
dc.date.available2017-09-14T13:42:02Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/6149
dc.titleBreast Cancer Biomarker Discovery in the Functional Genomic Age: A Systematic Review of 42 Gene Expression Signaturesen
dc.typeRevisiónes
dcterms.abstractIn this review we provide a systematic analysis of transcriptomic signatures derived from 42 breast cancer gene expression studies, in an effort to identify the most relevant breast cancer biomarkers using a meta-analysis method. Meta-data revealed a set of 117 genes that were the most commonly affected ranging from 12% to 36% of overlap among breast cancer gene expression studies. Data mining analysis of transcripts and protein-protein interactions of these commonly modulated genes indicate three functional modules significantly affected among signatures, one module related with the response to steroid hormone stimulus, and two modules related to the cell cycle. Analysis of a publicly available gene expression data showed that the obtained meta-signature is capable of predicting overall survival (P < 0.0001) and relapse-free survival (P < 0.0001) in patients with early-stage breast carcinomas. In addition, the identified meta-signature improves breast cancer patient stratification independently of traditional prognostic factors in a multivariate Cox proportional-hazards analysis.en
dcterms.creator.authorAbba, Martín Carloses
dcterms.creator.authorLacunza, Ezequieles
dcterms.creator.authorButti, Matíases
dcterms.creator.authorAldaz, C. Marceloes
dcterms.extentp. 103-118es
dcterms.identifier.otherDOI: 10.4137/BMI.S5740es
dcterms.isPartOf.issuevol. 2010, no. 5es
dcterms.isPartOf.seriesBiomarker Insightses
dcterms.issued2010-10
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectbreast canceren
dcterms.subjectbiomarkersen
dcterms.subjectgene expression signaturesen
dcterms.subject.materiaCiencias Médicases

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