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Publications

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia


Nadeu F, Royo R, Massoni-Badosa R, Playa-Albinyana H, Garcia-Torre B, Duran-Ferrer M, Dawson KJ, Kulis M, Diaz-Navarro A, Villamor N, Melero JL, Chapaprieta V, Dueso-Barroso A, Delgado J, Moia R, Ruiz-Gil S, Marchese D, Giró A, Verdaguer-Dot N, Romo M, Clot G, Rozman M, Frigola G, Rivas-Delgado A, Baumann T, Alcoceba M, González M, Climent F, Abrisqueta P, Castellví J, Bosch F, Aymerich M, Enjuanes A, Ruiz-Gaspà S, López-Guillermo A, Jares P, Beà S, Capella-Gutierrez S, Gelpí JL, López-Bigas N, Torrents D, Campbell PJ, Gut I, Rossi D, Gaidano G, Puente XS, Garcia-Roves PM, Colomer D, Heyn H, Maura F, Martín-Subero JI, Campo E.
Nature Medicine Aug 2022
Abstract

Richter transformation (RT) is a paradigmatic evolution of chronic lymphocytic leukemia (CLL) into a very aggressive large B cell lymphoma conferring a dismal prognosis. The mechanisms driving RT remain largely unknown. We characterized the whole genome, epigenome and transcriptome, combined with single-cell DNA/RNA-sequencing analyses and functional experiments, of 19 cases of CLL developing RT. Studying 54 longitudinal samples covering up to 19 years of disease course, we uncovered minute subclones carrying genomic, immunogenetic and transcriptomic features of RT cells already at CLL diagnosis, which were dormant for up to 19 years before transformation. We also identified new driver alterations, discovered a new mutational signature (SBS-RT), recognized an oxidative phosphorylation (OXPHOS)high-B cell receptor (BCR)low-signaling transcriptional axis in RT and showed that OXPHOS inhibition reduces the proliferation of RT cells. These findings demonstrate the early seeding of subclones driving advanced stages of cancer evolution and uncover potential therapeutic targets for RT

VIEW

Area

Heme

Institution Type

Academia

Indication / Modality

Chronic Lymphocytic Leukemia (CLL), Richter's Syndrome

Goal of Study

Biomarker Discovery, Clonal Evolution, Clonal Heterogeneity, Disease Progression, Longitudinal

Key Genes

TP53, SF3B1, NOTCH1, CDKN2A, CDKN2B, IGLV3

PAD Project

No

Analytes Assessed

InDels, SNV

Sample Storage

Fresh Frozen

Sample Prep

Whole Cells

Sample Type

Patient Material, PBMC

Tissue / Organ

Bone Marrow Aspirates

Species

Human

Panel Used

CLL Catalog Panel

Proof Point Demonstrated

Better than Bulk, Clonality, Co-occurrence, Phylogeny, Sensitivity
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