Dataset Information

Plasma extracellular vesicle proteome identifies diffuse large B cell lymphoma patients

ABSTRACT: The aggressive B cell lymphoma diffuse large B cell lymphoma (DLBCL) is a heterogeneous entity that requires more precise monitoring and prognosis molecular tools. Extracellular vesicles that are secreted by all cell types are currently recognized as serving as a proxy for the cell of origin. Utilizing cutting-edge mass spectrometry, the current study described and assessed the plasma small extracellular vesicles (sEVs) proteome's diagnostic and prognostic potential. The presence of DLBCL has a significant impact on the sEV proteome, and several proteins substantially correlate with DLBCL.Nevertheless, no proteins that highly correlated with non-GCB or GCB were found.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma, Extracellular Exosome

DISEASE(S): Lymphoma

SUBMITTER: Rune Matthiesen

LAB HEAD: Rune Matthiesen

PROVIDER: PXD036735 | Pride | 2023-03-11

REPOSITORIES: Pride

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Publications

Extracellular Vesicles in Diffuse Large B Cell Lymphoma: Characterization and Diagnostic Potential.

Matthiesen Rune R Gameiro Paula P Henriques Andreia A Bodo Cristian C Moraes Maria Carolina Strano MCS Costa-Silva Bruno B Cabeçadas José J Gomes da Silva Maria M Beck Hans Christian HC Carvalho Ana Sofia AS

International journal of molecular sciences 20221101 21

Diffuse large B cell lymphoma (DLBCL) is an aggressive B cell lymphoma characterized by a heterogeneous behavior and in need of more accurate biological characterization monitoring and prognostic tools. Extracellular vesicles are secreted by all cell types and are currently established to some extent as representatives of the cell of origin. The present study characterized and evaluated the diagnostic and prognostic potential of plasma extracellular vesicles (EVs) proteome in DLBCL by using stat ...[more]

PMID: 36362114

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Project description:Primary bone diffuse large B-cell lymphoma (PB-DLBCL) is a rare extranodal lymphoma subtype. This retrospective study elucidates the currently unknown genetic background of a large clinically well-annotated cohort of DLBCL with osseous localizations (O-DLBCL), including PB-DLBCL. 103 O-DLBCL patients were included and compared with 63 (extra)nodal non-osseous (NO)-DLBCLs with germinal center B-cell phenotype (NO-DLBCL-GCB). Cell-of-origin (COO) was determined by immunohistochemistry and gene-expression-profiling (GEP) using (extended)-NanoString/Lymph2Cx. Mutational profiles were identified with targeted next-generation deep-sequencing, including 52 B-cell lymphoma-relevant genes. O-DLBCLs, including 34 PB-DLBCL, were predominantly classified as GCB-phenotype based on immunohistochemistry (74%) and NanoString analysis (88%). Unsupervised hierarchical clustering of an extended-NanoString/Lymph2Cx demonstrated significantly different GEP-clusters for PB-DLBCL as opposed to NO-DLBCL-GCB (P<0.001). Expression levels of 23 genes of two different targeted GEP-panels, indicated a centrocyte–like phenotype for PB-DLBCL, whereas NO-DLBCL-GCB showed a centroblast-like constitution. PB-DLBCL had significantly more frequent mutations in four GCB-associated genes, i.e. B2M, EZH2, IRF8, and TNFRSF14, compared to NO-DLBCL-GCB (P=0.031, P=0.010, P=0.047, and P=0.003). PB-DLBCL with its corresponding specific mutational profile were significantly associated with a superior overall survival compared to equivalent Ann Arbor limited-stage I/II NO-DLBCL-GCB (P=0.011). This study is the first to demonstrate that PB-DLBCL is characterized by a GCB-phenotype, with a centrocyte-like GEP-pattern and a GCB-associated mutational profile (both involved in immune surveillance) and a favorable prognosis. These novel biology-associated features provide evidence that PB-DLBCL represents a distinct extranodal DLBCL entity and its specific mutational landscape holds potential for targeted therapies (e.g. EZH2-inhibitors). The NanoString analsyis consisted out of 219 probes for Lymph2Cx classifier (COO), MYC-activity GEP score, CNV-associated GEP signature, consensus clustering, and immune-ratio signature. This custome probeset was used to differentiate GEPs between osseous and non-osseos DLBCL of the GCB-phenotype.

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