Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Eric Depiereux
Molecular Biology Research Unit (URBM),
61 rue de Bruxelles, 5000 Namur
Belgium
Research Article
Enhanced Meta-analysis Highlights Genes Involved in Metastasis from Several Microarray Datasets
Author(s): Michael Pierre, Benoît DeHertogh, Bertrand DeMeulder, Eric Bareke, Sophie Depiereux, Carine Michiels and Eric DepiereuxMichael Pierre, Benoît DeHertogh, Bertrand DeMeulder, Eric Bareke, Sophie Depiereux, Carine Michiels and Eric Depiereux
Metastasis is the final stage of cancer and is still associated with high mortality despite breakthroughs in recent years. Hypoxia at the center of the primary tumor is a major cause of metastasis. Here, we present a new metaanalysis- based methodology to pick out genes involved in one or two biological processes from several microarray datasets using a statistic that avoids the definition of an arbitrary threshold, providing statistically-significant results. Applied to metastasis and hypoxia datasets, this methodology was able to select genes already known to be involved in these phenomena as well as new candidates for further analyses. 165 genes of interest were selected, many of which were already known to be involved in cancer, metastasis and/ or hypoxia. Moreover, some could be classified into 42 pathways, including 12 cancer pathways and 5 proliferation and cell motility path.. View More»
DOI:
10.4172/jpb.1000164