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. 2019 Jun;104(6):e252-e255.
doi: 10.3324/haematol.2018.209031. Epub 2019 Jan 3.

Convergence of risk prediction models in follicular lymphoma

Anjali Silva  1 , Sleiman Bassim  1 , Clémentine Sarkozy  2 , Anja Mottok  3 , Tracy Lackraj  1 , Vindi Jurinovic  4   5 , Marianne Brodtkorb  6 , Ole Christian Lingjaerde  6 , Laurie H Sehn  2 , Randy D Gascoyne  2 , Oliver Weigert  4 , Christian Steidl  2 , Robert Kridel  7
Affiliations

Convergence of risk prediction models in follicular lymphoma

Anjali Silva et al. Haematologica. 2019 Jun.
No abstract available

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Figures

Figure 1.
Figure 1.
Coefficients, scores and clusters generated based on the modified Gene-Expression Profiling (mGEP) Score reveal distinct patient outcomes. (A) Plot showing the coefficients from Cox regression analysis from our cohort (cDNA-mediated annealing, selection, extension and ligation, DASL) and coefficients from Huet et al. (Affymetrix). (B) Progression-free survival (PFS) by mGEP Score in our cohort. Five-year PFS was 54% versus 78% in patients with high and low scores, respectively. (C) PFS by mGEP Score and m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI) category in our cohort. (D) PFS by cluster in our cohort. Five-year PFS was 54% versus 68% in patients with Cluster 2 and Cluster 1, respectively. (E) Heatmap showing the genes along rows and patients along columns. Three genes, SHISA8, EML6 and DCAF12, from the GEP score were not included in the mGEP Score calculations. Gene names in red are associated with poor outcome in the mGEP Score. Cluster 1 and Cluster 2 were characterized by high expression of genes associated with favorable and poor outcome, respectively.
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.
See this image and copyright information in PMC

References

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