Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures

In 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 affe...

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Detalles Bibliográficos
Autores principales: Abba, Martín Carlos, Lacunza, Ezequiel, Butti, Matías A., Aldaz, C. Marcelo
Formato: Articulo Revision
Lenguaje:Inglés
Publicado: 2010
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/34620
http://www.la-press.com/breast-cancer-biomarker-discovery-in-the-functional-genomic-age-a-syst-article-a2325
Aporte de:
id I19-R120-10915-34620
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Médicas
biomarkers
APC protein
aurora A kinase
breast cancer
Bub1 related protein
gene expression signatures
cyclin
estrogen receptor alpha
forkhead transcription factor
hepatocyte nuclear factor 3alpha
manganese superoxide dismutase
TTK protein kinase
ubiquitin conjugating enzyme
microarray analysis
mitosis spindle
spellingShingle Ciencias Médicas
biomarkers
APC protein
aurora A kinase
breast cancer
Bub1 related protein
gene expression signatures
cyclin
estrogen receptor alpha
forkhead transcription factor
hepatocyte nuclear factor 3alpha
manganese superoxide dismutase
TTK protein kinase
ubiquitin conjugating enzyme
microarray analysis
mitosis spindle
Abba, Martín Carlos
Lacunza, Ezequiel
Butti, Matías A.
Aldaz, C. Marcelo
Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
topic_facet Ciencias Médicas
biomarkers
APC protein
aurora A kinase
breast cancer
Bub1 related protein
gene expression signatures
cyclin
estrogen receptor alpha
forkhead transcription factor
hepatocyte nuclear factor 3alpha
manganese superoxide dismutase
TTK protein kinase
ubiquitin conjugating enzyme
microarray analysis
mitosis spindle
description In 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.
format Articulo
Revision
author Abba, Martín Carlos
Lacunza, Ezequiel
Butti, Matías A.
Aldaz, C. Marcelo
author_facet Abba, Martín Carlos
Lacunza, Ezequiel
Butti, Matías A.
Aldaz, C. Marcelo
author_sort Abba, Martín Carlos
title Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
title_short Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
title_full Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
title_fullStr Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
title_full_unstemmed Breast cancer biomarker discovery in the functional genomic age: A systematic review of 42 gene expression signatures
title_sort breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/34620
http://www.la-press.com/breast-cancer-biomarker-discovery-in-the-functional-genomic-age-a-syst-article-a2325
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