Figure 1
Figure 1. A myeloid transcriptomic signature is detected in blood of DLBCL patients. (A) Hierarchical clustering of 76 DLBCL and 87 HD. After raw data normalization and prefiltering, 11 302 PSs were classified by an unsupervised hierarchical clustering. Up- (yellow) and downregulated (orange) gene lists were separately analyzed by IPA for canonical pathways. (B) Genes were filtered (P < .05 and |fold change| > 1.5) before IPA analysis and the top 20 significant pathways are shown for both gene lists. (C) GSEA plot in the studied cohort for a list of gene involved in MDSCs (supplemental Table 1). Genes were ranked by signal to noise ratio. (D) With the same list of genes, the 76 DLBCLs were classified by an unsupervised hierarchical clustering in group B with low expression of MDSC-related genes (supplemental Figure 1) or in group A. The EFS probability was calculated for both groups with a log-rank test.

A myeloid transcriptomic signature is detected in blood of DLBCL patients. (A) Hierarchical clustering of 76 DLBCL and 87 HD. After raw data normalization and prefiltering, 11 302 PSs were classified by an unsupervised hierarchical clustering. Up- (yellow) and downregulated (orange) gene lists were separately analyzed by IPA for canonical pathways. (B) Genes were filtered (P < .05 and |fold change| > 1.5) before IPA analysis and the top 20 significant pathways are shown for both gene lists. (C) GSEA plot in the studied cohort for a list of gene involved in MDSCs (supplemental Table 1). Genes were ranked by signal to noise ratio. (D) With the same list of genes, the 76 DLBCLs were classified by an unsupervised hierarchical clustering in group B with low expression of MDSC-related genes (supplemental Figure 1) or in group A. The EFS probability was calculated for both groups with a log-rank test.

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