[Determination of molecular glioblastoma subclasses on the basis of analysis of gene expression].

Two glioblastoma groups, which are distinguished from each other by expression level of 416 genes (P < 0.05), were determined using a mathematical model of linear Boolean programming on the basis of gene expression data, obtained by microarray analysis of the glioblastomas and available in Gene Expression Omnibus (GEO) data base. The expression level of 15 genes was more than two-fold higher in the first group of glioblastoma (80 samples) in comparison with the second group (144 samples) and 401 genes and--more than two-fold lower as compared to the second group.