Critical Role of Flow Cytometric Immunophenotyping in the Diagnosis, Subtyping, and Staging of T-Cell/NK-Cell Non-Hodgkin's Lymphoma in Real-World Practice: A Study of 232 Cases From a Tertiary Cancer Center in India.

Background: T-cell/NK-cell non-Hodgkin's lymphoma (T/NK-NHL) is an uncommon heterogeneous group of diseases. The current classification of T/NK-NHL is mainly based on histopathology and immunohistochemistry. In practice, however, the lack of unique histopathological patterns, overlapping cytomorphology, immunophenotypic complexity, inadequate panels, and diverse clinical presentations pose a great challenge. Flow cytometric immunophenotyping (FCI) is a gold standard for the diagnosis, subtyping, and monitoring of many hematological neoplasms. However, studies emphasizing the role of FCI in the diagnosis and staging of T/NK-NHL in real-world practice are scarce. Methods: We included T-cell non-Hodgkin's lymphoma (T-NHL) patients evaluated for the diagnosis and/or staging of T/NK-NHL using FCI between 2014 and 2020. We studied the utility of FCI in the diagnosis and subtyping of T/NK-NHL and correlated the FCI findings with the results of histopathology/immunohistochemistry. For correlation purposes, patients were categorized under definitive diagnosis and subtyping, inadequate subtyping, inadequate diagnosis, and misdiagnosis based on the findings of each technique. Results: A total of 232 patients were diagnosed with T/NK-NHL. FCI findings provided definitive diagnoses in 198 patients and subtyping in 187/198 (95.45%) patients. The correlation between FCI and histopathological/immunohistochemistry results (n = 150) demonstrated an agreement on the diagnosis and subtyping in 69/150 (46%) patients. Of the remaining cases, the diagnosis and subtyping were inadequate in 64/150 (42.7%), and 14/150 (9.33%) were misdiagnosed on histopathology/immunohistochemistry results. FCI provided definitive diagnosis and subtyping in 51/64 (79.7%) patients. Among these, 13 patients diagnosed with peripheral T-cell lymphoma not-otherwise-specified were reclassified (angioimmunoblastic T-cell lymphoma (AITL)-11 and prolymphocytic leukemia-2) on FCI. It corrected the diagnosis in 14 patients that were misdiagnosed (6 B-cell NHL (B-NHL), 3 Hodgkin's lymphoma, 1 acute leukemia, and 1 subcutaneous panniculitis-like T-cell lymphoma) and misclassified (3 T-NHL) on histopathological results. AITL was the commonest T-NHL misclassified on histopathological results. FCI also confirmed the definite involvement in 7/83 (8.4%) and 27/83 (32.5%) bone marrow (BM) samples reported as suspicious and uninvolved, respectively, on histopathological evaluation. Conclusion: AITL was the most frequently diagnosed T/NK-NHL in this study. FCI provided a distinct advantage in detecting BM involvement by T/NK-NHL, especially in patients with low-level involvement. Overall, our study concluded that FCI plays a critical role in the diagnosis, subtyping, and staging of T/NK-NHL in real-world practice.

Detecting hypodiploidy with endoreduplication and masked hypodiploidy in B-cell acute lymphoblastic leukemia using multicolor flow cytometry.

BACKGROUND: Multicolor flow cytometry-based DNA-ploidy (MFC-ploidy) analysis is a simple, sensitive, and popular method for ploidy analysis in B-cell acute lymphoblastic leukemia (B-ALL). However, the utility of MFC-ploidy in the detection of B-ALL with endoreduplication or masked hypodiploidy has not been reported. Herein, we studied the patterns of MFC-ploidy assessment and its utility to detect B-ALL with hypodiploidy and endoreduplication. METHODS: MFC-ploidy analysis was performed using FxCycle Violet-dye-based method, and cytogenetic ploidy was evaluated using chromosomal-counting and FISH analysis. A total of 20 B-ALL cases with endoreduplication were studied for the patterns of MFC-ploidy analysis and compared with 250 patients with hyperdiploidy and 11 cases with pure hypodiploidy. RESULTS: All B-ALL with endoreduplication revealed two distinct peaks (populations) on MFC-ploidy analysis: the first (hypodiploid) peak (median-DNA-index [DI], 0.82; range, 0.6-0.95) and the second (hyperdiploid) peak with almost twice DI (median-DI, 1.53; range, 1.14-1.75). Cytogenetic findings were available in 19 cases and confirmed hypodiploidy with endoreduplication in 13/19 (68.4%) and only hypodiploidy in 3/19 cases. The remaining three cases showed hyperdiploid blasts in cytogenetic studies. Of these three, two cases had <10% blasts population with hypodiploidy. Thus, masked-hypodiploidy could be diagnosed correctly in 3/19 cases on MFC-ploidy analysis. CONCLUSION: MFC-ploidy analysis shows a characteristic pattern of DNA-ploidy in samples with endoreduplication. It allows the distinction between samples with masked hypodiploidy from true hyperdiploidy. An integrated approach involving cytogenetic and MFC-ploidy detection is very helpful in the risk stratification of B-ALL in routine clinical practice.

Mimics and artefacts of measurable residual disease in a highly sensitive multicolour flow cytometry assay for B-lymphoblastic leukaemia/lymphoma: critical consideration for analysis of measurable residual disease.

High-sensitivity multicolour flow cytometry (MFC)-based B-lymphoblastic leukaemia (B-ALL) measurable residual disease (BMRD) assay is increasingly being used in clinical practice. Herein, we describe six consistently present low-level populations immunophenotypically mimicking abnormal B-ALL blasts in 441 BMRD samples from 301 children. These included CD19+ CD123+ plasmacytoid dendritic cells differentiating from lymphoid precursors, CD10+ transitional B cells with CD10+ /CD38dim-to-negative/CD20bright/CD45bright phenotype, CD19+ natural killer (NK) cells, CD73bright/CD10+ mesenchymal stromal/stem cells, CD73bright/CD34+ endothelial cells, and a CD34+ CD38dim-to-negative/CD10- /CD20bright/CD45bright subset of mature B cells. We provide the proportions, comprehensive immunophenotype, and practical clues for proper identification of these low-level populations. Knowledge regarding the presence and immunophenotype of these mimics is essential for accurate interpretation in high-sensitivity MFC-BMRD analysis.