Fig. 2: Differential transcriptomic analysis of diffuse large B-cell lymphoma and small cell lymphoma.
From: Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma
a Two-dimensional principal component analysis map computed on GCB DLBCL (gold) and follicular lymphoma (orange) cases for the 137 markers included in the panel. The expression of the 40 most discriminatory markers is plotted. b Volcano plots computed on GCB DLBCL (gold) and follicular lymphoma (orange) cases for the 137 markers included in the panel showing up- or downregulation between these two conditions (absolute log2-fold change >1 and a significant FDR (<0.05)). c Differential expression of Ki67, the macrophage marker CD68, GRB, immune escape marker PD-L2, and Tfh markers in GCB DLBCL and FL samples. ****p < 10−4 by the Wilcoxon test. d Two-dimensional principal component analysis map computed on DLBCL (green) and small cell lymphoma (blue) cases for the 137 markers included in the panel. The expression of the 40 most discriminatory markers is plotted. e Volcano plots computed on DLBCL (green) and small cell lymphoma (blue) cases for the 137 markers included in the panel showing up- or downregulation between these two conditions (absolute log2-fold change >1 and a significant FDR (<0.05)). f Differential expression of a selection of markers involved in proliferation and the immune response between DLBCL and small cell lymphomas. ****p < 10−4 by the Wilcoxon test.
