Fig. 1

Gene expression profiles of 27 B-ALL bone marrow diagnostic samples. a Unsupervised hierarchical clustering is able to differentiate between B-ALL patients. Hierarchical clustering analysis in bone marrow diagnostic samples from 27 adult B-ALL patients revealed 3 main groups included the normal bone marrow grouped together and separately from patient samples. Each square represents 1 sample, each row represents 1 gene. Above, cluster dendrogram of the bone marrow samples. Red square, Normal BM; black square, patients who did not achieve complete remission; blue square, patients with BCR-ABL translocation; grey square, patients who achieve complete remission. b Expression analysis of good versus poor induction treatment response patients. Analysis of gene expression from 5 patients who did not respond to induction therapy (yellow) and 22 patients who achieved complete remission (grey and blue). The hierarchical clustering identified 442 genes differentially expressed between both groups with p < 0.05. Gene Set Enrichment analysis was used to construct the heatmap showing the top 50 differentially expressed genes. Samples are shown in columns and gene sets are in rows. Increasing (red) or decreasing (blue) gene expression is shown relative to the median (black) for each gene. c Signaling pathway analysis using MetaCore revealed activation of different key hubs with p < 0.005 in patients with poor response to induction therapy. The total 442 differentially expressed genes were used for pathway analysis. The pathway with the highest activity and involving more of the input genes is the NF-kB signaling. Other signaling pathways like CD40L, IL-9, JAK1, IL-22 appears to be activated in this group of patients. Strong color represents activation key hub (red arrow) or inhibited key hub (blue arrow)