Original Articles
Vol. 15 No. 1 (2023): Review Articles, Original Article, Scientific Letter, Case Reports Letter to the Editor

MULTIPARAMETRIC FLOW CYTOMETRY REFINES RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA PATIENTS

Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Received: May 17, 2023
Accepted: July 23, 2023
Published: August 29, 2023
1146
Views
654
Downloads
257
HTML

Authors

Multiple myeloma (MM) is a heterogeneous malignancy characterized by the proliferation of abnormal plasma cells in the bone marrow. Multiparametric flow cytometry (MFC) plays a role in the work-up of the disease in view of the aberrant expression of surface antigens. Our study aimed at describing the antigenic profile detected by MFC in a series of newly diagnosed MM patients to correlate the level of expression with other features of the disease. Between April 2018 and June 2022, 84 consecutive MM patients were studied at presentation. CD56 and CD117 were commonly detected, while CD45, CD28, CD20, CD19, CD13 and CD33 were less recurrent. CD20 expression was associated with the type of secretory MM (p=0.041) and with a higher disease burden (p=0.038). CD28 positivity correlated with a lower platelet count at baseline (p=0.005) and with a lower rate of complete response (p=0.038). Furthermore, CD28 positivity and a lower CD138 expression tended to associate with the high-risk chromosomal translocations t(14;16) and t(4;14). The results of this study indicate that in the diagnostic work-up of MM, MFC may help to identify different patient subsets and improve risk stratification. These observations need to be validated in larger series of patients with a longer follow-up.

Downloads

Download data is not yet available.

Citations

Rawstron AC, Orfao A, Beksac M, Bezdickova L, Brooimans RA, Bumbea H, Dalva K, Fuhler G, Gratama J, Hose D, Kovarova L, Lioznov M, Mateo G, Morilla R, Mylin AK, Omedé P, Pellat-Deceunynck C, Perez Andres M, Petrucci M, Ruggeri M, Rymkiewicz G, Schmitz A, Schreder M, Seynaeve C, Spacek M, de Tute RM, Van Valckenborgh E, Weston-Bell N, Owen RG, San Miguel JF, Sonneveld P, Johnsen HE; European Myeloma Network. Report of the European Myeloma Network on multiparametric flow cytometry in multiple myeloma and related disorders. Haematologica. 2008 Mar;93(3):431-8. DOI: 10.3324/haematol.11080
Flores-Montero J, de Tute R, Paiva B, Perez JJ, Böttcher S, Wind H, Sanoja L, Puig N, Lecrevisse Q, Vidriales MB, van Dongen JJ, Orfao A. Immunophenotype of normal vs. myeloma plasma cells: Toward antibody panel specifications for MRD detection in multiple myeloma. Cytometry B Clin Cytom. 2016 Jan;90(1):61-72. DOI: 10.1002/cyto.b.21265
Paiva B, Almeida J, Pérez-Andrés M, Mateo G, López A, Rasillo A, Vídriales MB, López-Berges MC, Miguel JF, Orfao A. Utility of flow cytometry immunophenotyping in multiple myeloma and other clonal plasma cell-related disorders. Cytometry B Clin Cytom. 2010 Jul;78(4):239-52. DOI: 10.1002/cyto.b.20512
Courville EL, Yohe S, Shivers P, Linden MA. VS38 identifies myeloma cells with dim CD38 expression and plasma cells following daratumumab therapy, which interferes with CD38 detection for 4 to 6 months. Am J Clin Pathol. 2020 Jan 2;153(2):221-228. DOI: 10.1093/ajcp/aqz153
Paiva B, Vidriales MB, Pérez JJ, Mateo G, Montalbán MA, Mateos MV, Bladé J, Lahuerta JJ, Orfao A, San Miguel JF; GEM (Grupo Español de MM) cooperative study group; PETHEMA (Programa para el Estudio de la Terapéutica en Hemopatías Malignas) cooperative study group. Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients. Haematologica. 2009 Nov;94(11):1599-602. DOI: 10.3324/haematol.2009.009100
Bataille R, Jégo G, Robillard N, Barillé-Nion S, Harousseau JL, Moreau P, Amiot M, Pellat-Deceunynck C. The phenotype of normal, reactive and malignant plasma cells. Identification of "many and multiple myelomas" and of new targets for myeloma therapy. Haematologica. 2006 Sep;91(9):1234-40.
Mateo G, Montalbán MA, Vidriales MB, Lahuerta JJ, Mateos MV, Gutiérrez N, Rosiñol L, Montejano L, Bladé J, Martínez R, de la Rubia J, Diaz-Mediavilla J, Sureda A, Ribera JM, Ojanguren JM, de Arriba F, Palomera L, Terol MJ, Orfao A, San Miguel JF; PETHEMA Study Group; GEM Study Group. Prognostic value of immunophenotyping in multiple myeloma: a study by the PETHEMA/GEM cooperative study groups on patients uniformly treated with high-dose therapy. J Clin Oncol. 2008 Jun 1;26(16):2737-44. DOI: 10.1200/JCO.2007.15.4120
Palumbo A, Avet-Loiseau H, Oliva S, Lokhorst HM, Goldschmidt H, Rosinol L, Richardson P, Caltagirone S, Lahuerta JJ, Facon T, Bringhen S, Gay F, Attal M, Passera R, Spencer A, Offidani M, Kumar S, Musto P, Lonial S, Petrucci MT, Orlowski RZ, Zamagni E, Morgan G, Dimopoulos MA, Durie BG, Anderson KC, Sonneveld P, San Miguel J, Cavo M, Rajkumar SV, Moreau P. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group. J Clin Oncol. 2015 Sep 10;33(26):2863-9. DOI: 10.1200/JCO.2015.61.2267
Bahlis NJ, King AM, Kolonias D, Carlson LM, Liu HY, Hussein MA, Terebelo HR, Byrne GE Jr, Levine BL, Boise LH, Lee KP. CD28-mediated regulation of multiple myeloma cell proliferation and survival. Blood. 2007 Jun 1;109(11):5002-10. DOI: 10.1182/blood-2006-03-012542
Koumpis E, Tassi I, Malea T, Papathanasiou K, Papakonstantinou I, Serpanou A, Tsolas E, Kapsali E, Vassilakopoulos TP, Papoudou-Bai A, Hatzimichael E. CD56 expression in multiple myeloma: Correlation with poor prognostic markers but no effect on outcome. Pathol Res Pract. 2021 Sep;225:153567. DOI: 10.1016/j.prp.2021.153567
Abdallah N, Rajkumar SV, Greipp P, Kapoor P, Gertz MA, Dispenzieri A, Baughn LB, Lacy MQ, Hayman SR, Buadi FK, Dingli D, Go RS, Hwa YL, Fonder A, Hobbs M, Lin Y, Leung N, Kourelis T, Warsame R, Siddiqui M, Lust J, Kyle RA, Bergsagel L, Ketterling R, Kumar SK. Cytogenetic abnormalities in multiple myeloma: association with disease characteristics and treatment response. Blood Cancer J. 2020 Aug 11;10(8):82. DOI: 10.1038/s41408-020-00348-5
Aref S, Goda T, El-Sherbiny M. Syndecan-1 in multiple myeloma: relationship to conventional prognostic factors. Hematology. 2003 Aug;8(4):221-8. DOI: 10.1080/1024533031000153630

Ethics Approval

MTP and MSDP designed the research study; FF wrote the manuscript; MLM and SI processed patient samples; MZL and GL performed cytogenetics tests; MSDP performed flow-cytometric analysis; MTP; FF and GL visited patients; AP performed statistical analysis; MM corrected the manuscript; RF and AG discussed the results and critically revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Supporting Agencies

This work was supported by Associazione Italiana Ricerca sul Cancro (AIRC), Special 5x1000 Program Metastases (21198), Milan, Italy (RF).

How to Cite



“MULTIPARAMETRIC FLOW CYTOMETRY REFINES RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA PATIENTS” (2023) Mediterranean Journal of Hematology and Infectious Diseases, 15(1), p. e2023047. doi:10.4084/MJHID.2023.047.