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

• Published in: International journal of molecular sciences Vol. 23; no. 21; p. 13327
• Main Authors: Matthiesen, Rune, Gameiro, Paula, Henriques, Andreia, Bodo, Cristian, Moraes, Maria Carolina Strano, Costa-Silva, Bruno, Cabeçadas, José, Gomes da Silva, Maria, Beck, Hans Christian, Carvalho, Ana Sofia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-11-2022; MDPI
• Subjects: Algorithms; B-cell lymphoma; Biomarkers; Biomonitoring; Biopsy; cancer; Cancer therapies; diagnostic; diffuse large B cell lymphoma; Extracellular vesicles; Functional analysis; Gene expression; liquid biopsy; Lymphocytes B; Lymphoma; Mass spectrometry; Mass spectroscopy; Medical prognosis; Methods; Patients; Plasma; Proteins; Proteomes; Proteomics; Scientific imaging; Survival; Tumors; Vesicles
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms232113327

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 state-of-the-art mass spectrometry. The EV proteome is strongly affected by DLBCL status, with multiple proteins uniquely identified in the plasma of DLBCL. A proof-of-concept classifier resulted in highly accurate classification with a sensitivity and specificity of 1 when tested on the holdout test data set. On the other hand, no proteins were identified to correlate with non-germinal center B-cell like (non-GCB) or GCB subtypes to a significant degree after correction for multiple testing. However, functional analysis suggested that antigen binding is regulated when comparing non-GCB and GCB. Survival analysis based on protein quantitative values and clinical parameters identified multiple EV proteins as significantly correlated to survival. In conclusion, the plasma extracellular vesicle proteome identifies DLBCL cancer patients from healthy donors and contains potential EV protein markers for prediction of survival.