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

Authors
Abba, Martín Carlos; Lacunza, Ezequiel; Butti, Matías; Aldaz, C. Marcelo
Publication Year
2010
Language
English
Format
review
Status
Published version
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 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.
Subject
Ciencias Médicas
Access level
Open access
License
Attribution 4.0 International (BY 4.0)
Repository
CIC Digital (CICBA)
Institution
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identifier
oai:digital.cic.gba.gob.ar:11746/6149