Experimental validation of 5 in-silico predicted glioma biomarkers.

ABSTRACT:

Background

Glioblastoma multiforme (GBM) is a high-grade glioma with poor prognosis. Identification of new biomarkers specific to GBM could help in disease diagnosis. We have developed and validated a bioinformatics method to predict proteins likely to be suitable as glioma biomarkers via a global microarray meta-analysis to identify uncharacterized genes consistently coexpressed with known glioma-associated genes.

Methods

A novel bioinformatics method was implemented called global microarray meta-analysis, using approximately 16,000 microarray experiments to identify uncharacterized genes consistently coexpressed with known glioma-associated genes. These novel biomarkers were validated as proteins highly expressed in human gliomas varying in tumor grades using immunohistoch

SUBMITTER: Towner RA 

PROVIDER: S-EPMC3829592 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature