Enhanced meta-analysis highlights genes involved in metastasis from several microarray datasets

M. Pierre, Benoît De Hertogh, Bertrand De Meulder, E. Bareke, S. Depiereux, C. Michiels, E. Depiereux

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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 meta-analysis-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 pathways. Negative tests performed with random genes failed to provide such results. In additional independent validations, expression profiles were generated for the 165 genes of interest from two other datasets with MDA-MB-231, MCF-7 and L3.6pl cells and the previous results were confirmed in most cases. © 2011 Pierre M, et al.
Original languageEnglish
Pages (from-to)36-43
Number of pages8
JournalJournal of Proteomics and Bioinformatics
Issue number2
Publication statusPublished - 2011


  • Metastasis; Hypoxia; Microarray; Meta-analysis; Statistical threshold


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