A B-cell receptor-related gene signature predicts survival in mantle cell lymphoma: results from the Fondazione Italiana Linfomi MCL-0208 trial

Haematologica
Riccardo BombenValter Gattei

Abstract

Mantle cell lymphoma patients have variable clinical courses, ranging from indolent cases that do not require immediate treatment to aggressive, rapidly progressing diseases. Thus, diagnostic tools capable of stratifying patients according to their risk of relapse and death are needed. This study included 83 samples from the Fondazione Italiana Linfomi MCL-0208 clinical trial. Through gene expression profiling and quantitative real-time PCR we analyzed 46 peripheral blood and 43 formalin-fixed paraffin-embedded lymph node samples. A prediction model to classify patients was developed. By analyzing the transcriptome of 27 peripheral blood samples, two subgroups characterized by a differential expression of genes from the B-cell receptor pathway (B-cell receptorlow and B-cell receptorhigh) were identified. The prediction model based on the quantitative real-time PCR values of six representative genes (AKT3, BCL2, BTK, CD79B, PIK3CD, and SYK), was used to classify the 83 cases (43 B-cell receptorlow and 40 B-cell receptorhigh). The B-cell receptorhigh signature associated with shorter progression-free survival (P=0.0074), selected the mantle cell lymphoma subgroup with the shortest progression-free survival and overall survival (P...Continue Reading

Citations

Apr 10, 2019·American Journal of Hematology·Preetesh Jain, Michael Wang
Jul 12, 2019·Frontiers in Oncology·Susanna GrassiSara Galimberti
Apr 1, 2019·Annals of Nuclear Medicine·Domenico AlbanoFrancesco Bertagna
Aug 28, 2020·Expert Opinion on Therapeutic Targets·Pavel Klener
Aug 31, 2020·Hematology/oncology Clinics of North America·Alba NavarroElías Campo
Mar 31, 2021·British Journal of Haematology·Elisabeth SilkenstedtMartin Dreyling

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Datasets Mentioned

BETA
GSE89447

Methods Mentioned

BETA
PCR
PCA
biopsies

Software Mentioned

GSEA
Gene set enrichment analysis ( GSEA
MedCalc
GeneSpring GX

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