Phenotypic Characterization of Diffuse Large B-Cell Lymphoma Cells and Prognostic Impact - Université de Montpellier
Article Dans Une Revue Journal of Clinical Medicine Année : 2019

Phenotypic Characterization of Diffuse Large B-Cell Lymphoma Cells and Prognostic Impact

Résumé

Multiparameter flow cytometry (MFC) is a fast and cost-effective technique to evaluate the expression of many lymphoid markers in mature B-cell neoplasms, including diffuse large B cell lymphoma (DLBCL), which is the most frequent non-Hodgkin lymphoma. In this study, we first characterized by MFC the expression of 27 lymphoid markers in 16 DLBCL-derived cell lines to establish a robust algorithm for their authentication. Then, using the expression profile in DLBCL samples of the genes encoding B lymphoid markers that are routinely investigated by MFC, we built a gene expression-based risk score, based on the expression level of BCL2, BCL6, CD11c, and LAIR1, to predict the outcome of patients with DLBCL. This risk score allowed splitting patients in four risk groups, and was an independent predictor factor of overall survival when compared with the previously published prognostic factors. Lastly, to investigate the potential correlation between BCL2, BCL6, CD11c, and LAIR1 protein level and resistance to treatment, we investigated the response of the 16 DLBCL cell lines to cyclophosphamide, etoposide, doxorubicin, and gemcitabine. We found a correlation between BCL6 overexpression and resistance to etoposide. These results show the interest of MFC for the routine characterization of DLBCL cells and tumors samples for research and diagnostic/prognostic purposes.
Fichier principal
Vignette du fichier
jcm-08-01074.pdf (2.72 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02571739 , version 1 (25-05-2021)

Identifiants

Citer

Julie Devin, Alboukadel Kassambara, Angelique Bruyer, Jérôme Moreaux, Caroline Bret. Phenotypic Characterization of Diffuse Large B-Cell Lymphoma Cells and Prognostic Impact. Journal of Clinical Medicine, 2019, 8 (7), pp.1074. ⟨10.3390/jcm8071074⟩. ⟨hal-02571739⟩
30 Consultations
51 Téléchargements

Altmetric

Partager

More