Cytometry Part B: Clinical Cytometry最新文献

Automation in flow cytometry has recently advanced from the partial laboratory automation and robotics islets, to more fully integrated systems. This article reviews three manufacturers' newest sample preparation systems: the Beckman CellMek, the Sysmex PS-10, and the BD FACSDuet. These three instruments are capable of performing many of the manual steps in flow cytometry sample processing (pipetting, staining, lysing, washing, fixing). General description, capabilities, advantages, and disadvantages of each system are compared. Overall, these systems have the potential to become mainstay items in today's busy clinical flow cytometry laboratories, and save a significant amount of hands-on time for laboratory staff.

In the era of personalized medicine, the list of targeted therapeutic drugs has been greatly expanded, many of which are employed to treat hematolymphoid neoplasms. These include drugs specifically targeting immune checkpoint signaling epitopes such as programmed cell death 1 (PD1) and its ligand PDL1 to inhibit T-cell activation. Alternatively, these drugs might target the surface antigens expressed by tumor cells such as CD19 and CD22 in B-cell neoplasms. Of the latter, targeted immunotherapies include monoclonal antibodies with or without drug conjugates, bispecific T-cell engagers, or chimeric antigen receptor (CAR) T-cell therapy. The binding sites of these therapeutic antibodies are often identical or in proximity with the binding sites of the diagnostic antibodies. Therefore, use of these therapies pose great challenges for clinical cytometry labs in the assessment of post-treatment samples, especially in the detection of measurable/minimal residual disease (MRD). In this issue, Chen, Gao, et al. (2023) provided an overview of MRD detection in B-lymphoblastic leukemia/lymphoma in the era of immunotherapy, and Gao et al. (2023) focused their review on the impact of targeted therapy on mature B- and plasma cell neoplasms utilizing flow cytometry assessments. In both reviews, the authors illustrated the challenges, identified the problems, and provided a list of available options and solutions. For each of the above-mentioned disease categories, optimal gating and analysis strategies were illustrated with literature review and inputs from the authors' experience and insights. The utility and interpretation of additional B-cell markers other than CD19 and CD20 for mature or immature B-cell neoplasms such as CD22, CD24, and cCD79a (Mikhailova et al., 2022) were studied as well as VS38, CD229, and CD319 (Pojero et al., 2016; Soh et al., 2021) for plasma cell neoplasms. The authors recommended that the flow cytometry assays in the era of targeted therapies must contain significant redundancy in the antibody panels allowing the detection of the cells of interest and additionally should be ready to utilize several gating strategies for accurate and consistent population identification.

Neoplastic mature B-cells often show restricted kappa or lambda light chain expression; however, light chain expression may be absent in around 5%–10% of mature B-cell lymphoma (Li et al., 2002). It is suggested that mature B-cells lacking surface light chain expression can be used as a surrogate marker to diagnose mature B-cell lymphomas. Huang et al. (2023) reported a series of 89 cases of surface light chain negative B-cell lymphoma which consisted primarily of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Interestingly, the authors also reported no detectable light chain expression in normal/reactive mature B cells collected from body fluids an

In the clinical laboratory, flow cytometry assays are critical to providing diagnostic and prognostic information to the treating clinicians. A validation or verification provides confidence that the assay will yield reliable results that can be trusted to make critical medical decisions. The following performance specifications should be included in a validation for laboratory developed tests as needed: accuracy (or trueness), precision (reproducibility and repeatability), detection capability, selectivity, reference range, and sample and reagent stability. We define these terms and present our approach to validation of several common flow cytometry assays, including examples of a leukemia/lymphoma assay and a paroxysmal nocturnal hemoglobinuria (PNH) assay.

Aren, M., Marce, S., Jurado, R., Tapia, G., Puigdefabregues, L., Raya, M., Cortes, M., Garcia-Caro, M., Junca, J., Mozas, P., Viñets, E., Cabezon, M., Plensa, E., Miljkovic, M., Sancho, J.-M., Navarro, J.-T., Zamora, L., & Sorigue, M. (2022). Flow cytometry to detect bone marrow involvement by follicular lymphoma. Cytometry Part B: Clinical Cytometry, 102(6), 427–439. https://doi.org/10.1002/cyto.b.22098

Coauthor Esther Plensa's affiliation was incorrectly given as Department of Hematology, ICO-Mataro, Badalona, Spain. The correct affiliation is Department of Hematology and Hemotherapy, Consorci Sanitari del Maresme, Hospital de Mataró, Institut Català d'Oncologia, Mataró, Spain.

We apologize for this error.