dc.creatorAbba, Martín Carlos
dc.creatorLacunza, Ezequiel
dc.creatorButti, Matías A.
dc.creatorAldaz, C. Marcelo
dc.date2010-10-27
dc.date2014-04-11T18:41:27Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/34620
dc.identifierhttp://www.la-press.com/breast-cancer-biomarker-discovery-in-the-functional-genomic-age-a-syst-article-a2325
dc.identifierissn:1177-2719
dc.descriptionIn 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 signifcantly 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 identifed meta-signature improves breast cancer patient stratifcation independently of traditional prognostic factors in a multivariate Cox proportional-hazards analysis.
dc.descriptionFacultad de Ciencias Médicas
dc.formatapplication/pdf
dc.format103-118
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectCiencias Médicas
dc.subjectbiomarkers
dc.subjectAPC protein
dc.subjectaurora A kinase
dc.subjectbreast cancer
dc.subjectBub1 related protein
dc.subjectgene expression signatures
dc.subjectcyclin
dc.subjectestrogen receptor alpha
dc.subjectforkhead transcription factor
dc.subjecthepatocyte nuclear factor 3alpha
dc.subjectmanganese superoxide dismutase
dc.subjectTTK protein kinase
dc.subjectubiquitin conjugating enzyme
dc.subjectmicroarray analysis
dc.subjectmitosis spindle
dc.titleBreast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
dc.typeArticulo
dc.typeRevision


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