1. Supplementary Data from Next-Generation Sequencing in Diffuse Large B-Cell Lymphoma Highlights Molecular Divergence and Therapeutic Opportunities: a LYSA Study
- Author
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Fabrice Jardin, Karen Leroy, Hervé Tilly, Gilles Salles, Nicolas Ketterer, Marc André, André Bosly, Frédéric Peyrade, Richard Delarue, Bertrand Coiffier, Bettina Fabiani, Danielle Canioni, Tony Petrella, Josette Brière, Christiane Copie-Bergman, Thierry Lamy, Corinne Haioun, Thierry Fest, Fabienne Desmots, Thierry J. Molina, Martin Figeac, Pauline Peyrouze, Jean-Philippe Jais, Catherine Maingonnat, Philippe Ruminy, Philippe Bertrand, Elodie Bohers, Sylvain Mareschal, Pierre-Julien Viailly, and Sydney Dubois
- Abstract
Supplementary methods, figures, and tables Figure S1: Variant filters applied to Lymphopanel NGS data. Figure S2: Validation of variants according to SIFT and CADD scores. Figure S3: PMBL samples harbor more mutations than other DLBCL subtypes. Figure S4: Role of AID-induced SHM in DLBCL. Figure S5: Mutation frequency by subtype. Figure S6: Clustering of gene mutations according to subtype. Figure S7: Protein representations of observed mutations. Figure S8: Correlations between age and specific gene mutations. Figure S9: Prognosis according to IPI and subtype. Figure S10: Prognostic impact of gene mutations among the Lymphopanel. Table S1: Clinical characteristics of patients in our cohort. Table S2: Overview of the Lymphopanel used for NGS analysis. Table S3: Overview of pathway selection Table S4: Validation of variant filtering by an independent study of seven non-tumoral samples from DLBCL patients Table S5: Validated variants. Table S6: Lymphopanel NGS detection of genes with high AID target frequencies. Table S7: Prognostic impact of mutations in Lymphopanel genes
- Published
- 2023