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letter
. 2019 Jun;104(6):e252–e255. doi: 10.3324/haematol.2018.209031

Figure 2.

Figure 2.

Convergence of outcome prediction tools in follicular lymphoma (FL). (A, B and C) The mean modified Gene-Expression Profiling (mGEP) Score was significantly higher in cases who had high FOXP1 expression, were EZH2 mutation wild-type and were classified as high-risk m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI) category. (D) Volcano plot, with genes from the mGEP score highlighted by labeling. Positive log fold-change (logFC) indicates higher expression in cases with high FOXP1 expression, and vice versa. The horizontal, dashed, green line indicates -log10(adjusted P=0.05) and the dashed, purple line indicates -log10(adjusted P=0.01). Adjusted P-values were calculated using the Benjamini and Hochberg method. (E and F) Gene set enrichment analysis (GSEA) shows that genes with positive coefficients from the mGEP Score and genes with a positive weight in the ICA13 signature were significantly enriched in cases with high FOXP1 expression. (G and H) GSEA shows that genes with negative coefficients from the mGEP score and genes with a negative weight in the ICA13 signature were significantly enriched in cases with low FOXP1 expression. (I) Gene connections based on related expression.