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Abstract Background:
Clonal mature B-cell lymphoproliferative disorders (B-LPDs) are a
heterogeneous group of neoplasia characterized by the proliferation of
mature B lymphocytes in the peripheral blood, bone marrow, and/or
lymphoid tissues. B-LPDs classification into different subtypes and
their diagnosis is based on a multiparametric approach. However,
accurate diagnosis may be challenging, especially in cases of ambiguous
interpretation. Multiparameter flow cytometry (MFC) represents an
extensively used technique to detect the presence of different cellular
lines in immunology and hematology. MFC results provide an essential
contribution to the B-LPDs diagnostic process, even more so considering
that panels are constantly integrating novel markers to improve
diagnostic accuracy. |
Introduction
Methods
Flow cytometry. B-LPD diagnosis was assessed by MFC using a combination of monoclonal antibodies (mAbs) recommended by the EuroFlow Consortium.[30-31] Peripheral blood (PB) and/or bone marrow (BM) samples were stained within 24 hours of collection before any treatment, including steroids. Total leukocyte cells were incubated with an appropriate volume of mAbs directed against B, T, and NK lymphoid lineage antigens. with a combination of mAbs against CD45, CD5, CD19, CD20, CD22, CD200, ROR1, CD43, CD81, CD27, CD10, CD123, CD103, CD25, CD11c, CD49d, CD38, CD18, CD11a, CD79-b, FMC-7, Ig λ and Ig k, CD3, CD4, CD8, CD16, CD56, CD57, CD158a, CD158b, TCR-αβ, TCR-ϒẟ (Becton et al.; Società Italiana Chimici, SIC, Life Sciences, Rome, Italy, Beckman Coulter, Brea, CA). Data on standardized 8-12 color staining combinations were acquired on FACSCanto II or BD FACS Lyric flow cytometers (Becton Dickinson) by collecting at least 50,000 ungated events and analyzed using the PAINT-A-GATE and FACSDIVA software (Becton Dickinson). Cytometer setup and tracking beads (BD) were used for daily cytometer optimization. Leukemic cells were gated within the total CD45+ leukocyte population, considering that all cases of B-LPDs were positive for the pan-leukocyte antigen. Representative plots of the flow gating strategy are reported in Figure 1. The presence of pathological cells was identified in comparison with the known patterns of antigen expression and MFI profile with the known pattern of normal maturing lymphoid precursors.[32] In all cases, antigen expression was defined by the percentage of pathological lymphocytes that resulted in positive for the different markers in the immunological gate. Furthermore, cell surface antigen expression was estimated by assessing the proportion of positive leukemic cells for each given antigen with a positivity cutoff of more than or equal to 20%. Antigen expression levels were quantified based on MFI values obtained with specific mAbs compared with values given by the internal negative controls, which were represented by a cell population that does not express the antigen of interest and thus remains unlabeled in an antibody-labeled cell suspension but that has been exposed to identical conditions (including exposure to the antibody directed to the antigen of interest) as the cell population under study.Results
In this study, data from 2615 cases tested by MFC were retrospectively analyzed. Patients’ characteristics are displayed in supplementary table 1. The median age of patients at the MFC test was 66 years (IQR, 53-74), and 1509 (57.7%) were male. The overall median absolute lymphocyte count (ALC) among patients was 8.5 x109/L (IQR, 4.6-16.3), with a median clonal B-cell count of 6.0 x109/L (IQR, 2.3-13.3). Figure 2 presents the distribution of B-LPDs into specific entities. Overall, CLL was the most prevalent diagnosis, accounting for 1.401 cases (53.6%). Additionally, 466 cases (17.8%) were identified as CLL/SLL-type MBL and 32 cases (1.2%) were classified as non-CLL/SLL-type MBL. HCL was diagnosed in 144 cases (5.5%), including 112 cases of classic HCL (cHCL) and 32 cases of variant HCL (vHCL – according to 2022 ICC). Other mature B-cell neoplasia were identified in 294 cases (11.2%). In some of these, MFC phenotype pointed to specific lymphoma subtypes, which were subsequently confirmed by histological examinations (i.e., mantle cell lymphoma, MCL; follicular lymphoma, FL; marginal zone lymphoma, MZL; diffuse large B-cell lymphoma, DLBCL; and lymphoplasmacytic lymphoma, LPL).Table 2. A) Antigens positivity rate comparison between B-LPDs of CD200, ROR1, and CD43. B) P-Value Comparisons between selected B-LPDs couples, proving statistically significant differences. |
Discussion
Routinely, MFC panels for B-LPDs may be, in certain cases, sufficient to make a simple diagnosis and to prove cell clonality; however, nowadays, the addition of new markers with a qualitative or semiquantitative diagnostic interpretation may help to improve the likelihood of a correct immunophenotypic differential diagnosis. As already mentioned, CD200, ROR1, and CD43 are three antigens expressed in various hematological diseases, the simultaneous use of which in MFC panels may improve the diagnostic yield.Conclusions
Our study shows that the inclusion of CD200, CD43, and ROR1 and their MFIs in routine MFC analysis improves the diagnostic accuracy of B-LPDs (especially CLL) and helps in the differential diagnosis between CLL and MCL, resulting in indispensable in the diagnostic workup. Routine MFC panels, enriched with these three antigens, allow an exceptionally rapid diagnostic evaluation of patients presenting with lymphocytosis. Such panels may be used along with classical MFC scores such as the Matutes score, but they may be considered diagnostically accurate on their own. Moreover, it is important to consider that while routinely performed MFC analysis can pinpoint a CLL diagnosis, for all other B-LPDs, by guidelines, additional diagnostic exams are required, such as histologic, cytogenetic, and mutational analysis. Nevertheless, these “enriched” MFC panels can suggest and support additional diagnostic exams for B-LPDs. Hence, we believe that, nowadays, CD200, CD43, and ROR1 antigens detection has become a pivotal part of the diagnostic process of B-LPDs.Author Contributions
Alessandro Laganà and Raffaele Maglione: Writing – original draft in equal contribution. Alessandro Costa: Data collection, acquisition, analysis, and interpretation. Maria Laura Bisegna: Contribution to the lab work and review of the manuscript. Maria Laura Milani: Flow cytometry data collection, acquisition, and analysis. Biancamaria Mandelli: Contribution to the lab work and data analysis. Luigi Petrucci: Followed the patients and supervised data collection. Valeria Filipponi, Tania Soriano, Eugenio Santacroce: Contribution to the lab work and data collection. Maria Grazia Nardacci: Contribution to the lab work and complementary exams. Carla Giordano: Provided histological diagnosis and manuscript editing. Maurizio Martelli: Supervision and Manuscript editing. Maria Stefania De Propris: Conceptualization, Investigation, Formal analysis, Writing – original draft.References
Supplementary Files
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