Dual T-cell constant ß chain (TRBC)1 and TRBC2 staining for the identification of T-cell neoplasms by flow cytometry.

The diagnosis of leukemic T-cell malignancies is often challenging, due to overlapping features with reactive T-cells and limitations of currently available T-cell clonality assays. Recently developed therapeutic antibodies specific for the mutually exclusive T-cell receptor constant ß chain (TRBC)1 and TRBC2 isoforms provide a unique opportunity to assess for TRBC-restriction as a surrogate of clonality in the flow cytometric analysis of T-cell neoplasms. To demonstrate the diagnostic utility of this approach, we studied 164 clinical specimens with (60) or without (104) T-cell neoplasia, in addition to 39 blood samples from healthy donors. Dual TRBC1 and TRBC2 expression was studied within a comprehensive T-cell panel, in a fashion similar to the routine evaluation of kappa and lambda immunoglobulin light chains for the detection of clonal B-cells. Polytypic TRBC expression was demonstrated on total, CD4+ and CD8+ T-cells from all healthy donors; and by intracellular staining on benign T-cell precursors. All neoplastic T-cells were TRBC-restricted, except for 8 cases (13%) lacking TRBC expression. T-cell clones of uncertain significance were identified in 17 samples without T-cell malignancy (13%) and accounted for smaller subsets than neoplastic clones (median: 4.7 vs. 69% of lymphocytes, p < 0.0001). Single staining for TRBC1 produced spurious TRBC1-dim subsets in 24 clinical specimens (15%), all of which resolved with dual TRBC1/2 staining. Assessment of TRBC restriction by flow cytometry provides a rapid diagnostic method to detect clonal T-cells, and to accurately determine the targetable TRBC isoform expressed by T-cell malignancies.

Superior detection rate of plasma cell FISH using FACS-FISH.

OBJECTIVES: Fluorescence in situ hybridization (FISH) for plasma cell neoplasms (PCNs) requires plasma cell (PC) identification or purification strategies to optimize results. We compared the efficacy of cytoplasmic immunoglobulin FISH (cIg-FISH) and fluorescence-activated cell sorting FISH (FACS-FISH) in a clinical laboratory setting. METHODS: The FISH analysis results of 14,855 samples from individuals with a suspected PCN subjected to cytogenetic evaluation between 2019 and 2022 with cIg-FISH (n = 6917) or FACS-FISH (n = 7938) testing were analyzed. RESULTS: Fluorescence-activated cell sorting-FISH increased the detection rate of abnormalities in comparison with cIg-FISH, with abnormal results documented in 54% vs 50% of cases, respectively (P < .001). It improved the detection of IGH::CCND1 (P < .001), IGH::MAF (P < .001), IGH::MAFB (P < .001), other IGH rearrangements (P < .001), and gains/amplifications of 1q (P < .001), whereas the detection rates of IGH::FGFR3 fusions (P = .3), loss of 17p (P = .3), and other abnormalities, including hyperdiploidy (P = .5), were similar. Insufficient PC yield for FISH analysis was decreased between cIg-FISH and FACS-FISH (22% and 3% respectively, P < .001). Flow cytometry allowed establishment of ploidy status in 91% of cases. In addition, FACS-FISH decreased analysis times, workload efforts, and operating costs. CONCLUSIONS: Fluorescence-activated cell sorting-FISH is an efficient PC purification strategy that affords significant improvement in diagnostic yield and decreases workflow requirements in comparison with cIg-FISH.

Establishing NK-Cell Receptor Restriction by Flow Cytometry and Detecting Potential NK-Cell Clones of Uncertain Significance.

Natural killer (NK) cells develop a complex inhibitory and/or activating NK-cell receptor system, including killer cell immunoglobulin-like receptors (KIRs or CD158) and CD94/NKG2 dimers, which are variably combined to generate the individual's NK-cell receptor repertoire. Establishing NK-cell receptor restriction by flow cytometric immunophenotyping is an important step in diagnosing NK-cell neoplasms, but reference interval (RI) data for interpreting these studies are lacking. Specimens from 145 donors and 63 patients with NK-cell neoplasms were used to identify discriminatory rules based on 95% and 99% nonparametric RIs for CD158a+, CD158b+, CD158e+, KIR-negative, and NKG2A+ NK-cell populations to establish NK-cell receptor restriction. These 99% upper RI limits (NKG2a >88% or CD158a >53% or CD158b >72% or CD158e >54% or KIR-negative >72%) provided optimal discrimination between NK-cell neoplasm cases and healthy donor controls with an accuracy of 100% compared with the clinicopathologic diagnosis. The selected rules were applied to 62 consecutive samples received in our flow cytometry laboratory that were reflexed to an NK-cell panel due to an expanded NK-cell percentage (exceeding 40% of total lymphocytes). Twenty-two (35%) of 62 samples were found to harbor a very small NK-cell population with restricted NK-cell receptor expression based on the rule combination, suggestive of NK-cell clonality. A thorough clinicopathologic evaluation for the 62 patients did not reveal diagnostic features of NK-cell neoplasms; therefore, these potential clonal populations of NK cells were designated as NK-cell clones of uncertain significance (NK-CUS). In this study, we established decision rules for NK-cell receptor restriction from the largest published cohorts of healthy donors and NK-cell neoplasms. The presence of small NK-cell populations with restricted NK-cell receptors does not appear to be an uncommon finding, and its significance requires further exploration.

Abnormal CD13/HLA-DR Expression Pattern on Myeloblasts Predicts Development of Myeloid Neoplasia in Patients With Clonal Cytopenia of Undetermined Significance.

OBJECTIVES: Patients with clonal cytopenia of undetermined significance (CCUS) are at increased risk of developing myeloid neoplasia (MN). We evaluated whether a simple flow cytometry immunophenotyping (FCIP) assay could differentiate the risk of development of MN in patients with CCUS. METHODS: Bone marrow aspirates were assessed by FCIP panel in a cohort of 80 patients identified as having CCUS based on next-generation sequencing or cytogenetics from March 2015 to May 2020, with available samples. Flow cytometric assay included CD13/HLA-DR expression pattern on CD34-positive myeloblasts; CD13/CD16 pattern on maturing granulocytic precursors; and aberrant expression of CD2, CD7, or CD56 on CD34-positive myeloblasts. Relevant demographic, comorbidity, and clinical and laboratory data, including the type and extent of genetic abnormalities, were extracted from the electronic health record. RESULTS: In total, 17 (21%) patients with CCUS developed MN over the follow-up period (median survival follow-up, 28 months [95% confidence interval, 19-31]). Flow cytometry immunophenotyping abnormalities, including the aberrant pattern of CD13/HLA-DR expression, as detected at the time of the diagnosis of CCUS, were significantly associated with risk of developing MN (hazard ratio, 2.97; P = .006). Additional FCIP parameters associated with the development of MN included abnormal expression of CD7 on myeloblasts and the presence vs absence of any FCIP abnormality. CONCLUSIONS: A simple FCIP approach that includes assessment of CD13/HLA-DR pattern on CD34-positive myeloblasts can be useful in identifying patients with CCUS at higher risk of developing MN.

Artificial Intelligence Enhances Diagnostic Flow Cytometry Workflow in the Detection of Minimal Residual Disease of Chronic Lymphocytic Leukemia.

Flow cytometric (FC) immunophenotyping is critical but time-consuming in diagnosing minimal residual disease (MRD). We evaluated whether human-in-the-loop artificial intelligence (AI) could improve the efficiency of clinical laboratories in detecting MRD in chronic lymphocytic leukemia (CLL). We developed deep neural networks (DNN) that were trained on a 10-color CLL MRD panel from treated CLL patients, including DNN trained on the full cohort of 202 patients (F-DNN) and DNN trained on 138 patients with low-event cases (MRD < 1000 events) (L-DNN). A hybrid DNN approach was utilized, with F-DNN and L-DNN applied sequentially to cases. "Ground truth" classification of CLL MRD was confirmed by expert analysis. The hybrid DNN approach demonstrated an overall accuracy of 97.1% (95% CI: 84.7−99.9%) in an independent cohort of 34 unknown samples. When CLL cells were reported as a percentage of total white blood cells, there was excellent correlation between the DNN and expert analysis [r > 0.999; Passing−Bablok slope = 0.997 (95% CI: 0.988−0.999) and intercept = 0.001 (95% CI: 0.000−0.001)]. Gating time was dramatically reduced to 12 s/case by DNN from 15 min/case by the manual process. The proposed DNN demonstrated high accuracy in CLL MRD detection and significantly improved workflow efficiency. Additional clinical validation is needed before it can be fully integrated into the existing clinical laboratory practice.

Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis.

BACKGROUND: Multiple myeloma (MM) measurable residual disease (MRD) evaluated by flow cytometry is a surrogate for progression-free and overall survival in clinical trials. However, analysis and reporting between centers lack uniformity. We designed and evaluated a consensus protocol for MM MRD analysis to reduce inter-laboratory variation in MM MRD reporting. METHODS: Seventeen participants from 13 countries performed blinded analysis of the same eight de-identified flow cytometry files from patients with/without MRD using their own method (Stage 1). A consensus gating protocol was then designed following survey and discussions, and the data re-analyzed for MRD and other bone marrow cells (Stage 2). Inter-laboratory variation using the consensus strategy was reassessed for another 10 cases and compared with earlier results (Stage 3). RESULTS: In Stage 1, participants agreed on MRD+/MRD- status 89% and 68% of the time respectively. Inter-observer variation was high for total numbers of analyzed cells, total and normal plasma cells (PCs), limit of detection, lower limit of quantification, and enumeration of cell populations that determine sample adequacy. The identification of abnormal PCs remained relatively consistent. By consensus method, average agreement on MRD- status improved to 74%. Better consistency enumerating all parameters among operators resulted in near-unanimous agreement on sample adequacy. CONCLUSION: Uniform flow cytometry data analysis substantially reduced inter-laboratory variation in reporting multiple components of the MM MRD assay. Adoption of a harmonized approach would meet an important need for conformity in reporting MM MRD for clinical trials, and wider acceptance of MM MRD as a surrogate clinical endpoint.

Flow Cytometric Evaluation of Surface and Cytoplasmic TRBC1 Expression in the Differential Diagnosis of Immature T-Cell Proliferations.

OBJECTIVES: Flow cytometric detection of T-cell clonality is challenging, particularly in differential diagnosis of immature T-cell proliferations. Studies have shown utility of TRBC1, in conjunction with other T-cell markers, as reliable means to identify T-cell clonality by flow cytometry. One limitation of surface TRBC1 (sTRBC1) evaluation is it cannot be detected in surface CD3 (sCD3)-negative T cells, such as normal or abnormal immature T-cell precursors. Here, we assess surface and cytoplasmic TRBC1 expression patterns in the differential diagnosis of T-lymphoblastic leukemia/lymphoma (T-ALL) vs normal thymocyte expansions. METHODS: Forty-three samples containing T-ALL, thymoma, normal thymus, and/or indolent T-lymphoblastic proliferation (i-TLBP), were evaluated. RESULTS: All 24 cases with normal thymocytes or i-TLBPs revealed a characteristic and reproducible sCD3/sTRBC1 expression pattern indicative of polytypic T-cell maturation. In contrast, all 19 T-ALLs lacked this polytypic maturation pattern and were either completely negative for sCD3/sTRBC1 or showed a minor sCD3-positive subset with a monotypic TRBC1 expression pattern. Cytoplasmic TRBC1 evaluation in 9 T-ALLs demonstrated a monotypic intracellular TRBC1-positive (n = 4) or TRBC1-negative (n = 5) expression, indicative of clonality. CONCLUSIONS: Our findings demonstrate flow cytometric evaluation of surface and cytoplasmic TRBC1 expression can aid detection of T-cell clonality and differential diagnosis of immature T-cell proliferations.

CD2 and CD7 are sensitive flow cytometry screening markers for T-lineage acute leukemia(s): a study of 465 acute leukemia cases.

T-lymphoblastic leukemia/lymphoma (T-ALL/LBL) is a rare acute leukemia that expresses cytoplasmic CD3 (cCD3) and frequently lacks surface CD3. Given that routine flow cytometric testing for cCD3 may not be feasible and cCD3 interpretation may be difficult, we investigate if surface CD2 and/or CD7 expression on blasts can be used by flow cytometry to screen for T-lineage acute leukemia. We retrospectively reviewed flow cytometric data from 233 acute leukemias (36 T-ALL/LBL, 8 mixed-phenotype acute leukemia T/myeloid, 80 acute myeloid leukemia, 97 B-ALL/LBL, 8 mixed-phenotype acute leukemia B/myeloid, and 4 acute undifferentiated leukemia cases). Uniform expression (≥75% of blasts) of CD2 and/or CD7 was seen in all 44 cCD3-positive cases but in only 11% (20/189) of cCD3-negative acute leukemias, thus demonstrating 100% sensitivity and 89% specificity in the identification of cCD3-positive (T-lineage) acute leukemia. To avoid selection bias, we prospectively studied 232 consecutive acute leukemias for which cCD3, CD2, and CD7 were automatically performed in all cases. Similar to the retrospective study, uniform expression of CD2 and/or CD7 on blasts showed 100% sensitivity and 88% specificity in the screening for cCD3-positive (T-lineage) acute leukemia. Therefore, acute leukemias with uniform expression of CD2 and/or CD7 warrant further testing for cCD3 to evaluate for T-lineage acute leukemia. Blasts that lack both uniform CD2 and CD7 expression do not require additional cCD3 testing. We propose that CD2 and CD7 could be utilized in a limited antibody flow cytometry panel as a sensitive, robust, and cost-effective way to screen for T-lineage acute leukemia.

Single-Antibody Evaluation of T-Cell Receptor ß Constant Chain Monotypia by Flow Cytometry Facilitates the Diagnosis of T-Cell Large Granular Lymphocytic Leukemia.

OBJECTIVES: The diagnosis of T-cell large granular lymphocytic leukemia (T-LGLL) is challenging because of overlapping immunophenotypic features with reactive T cells and limitations of T-cell clonality assays. We studied whether adding an antibody against T-cell receptor ß constant region 1 (TRBC1) to a comprehensive flow cytometry panel could facilitate the diagnosis of T-LGLL. METHODS: We added TRBC1 antibody to the standard T-cell and natural killer (NK) cell panel to assess T-cell clonality in 56 T-LGLLs and 34 reactive lymphocytoses. In addition, 20 chronic lymphoproliferative disorder of NK cells (CLPD-NKs) and 10 reactive NK-cell lymphocytoses were analyzed. RESULTS: Clonal T cells were detected in all available T-LGLLs by monotypic TRBC1 expression and clonal/equivocal T-cell receptor gene rearrangement (TCGR) studies, compared with only 27% of T-LGLLs by killer-cell immunoglobulin-like receptor (KIR) restriction. Overall, 85% of T-LGLLs had a blood tumor burden greater than 500 cells/µL. Thirty-four reactive cases showed polytypic TRBC1 expression, except for 5 that revealed small T-cell clones of uncertain significance. All CLPD-NKs showed expected clonal KIR expression and negative TRBC1 expression. CONCLUSIONS: Addition of TRBC1 antibody to the routine flow cytometry assay could replace the TCGR molecular study and KIR flow cytometric analysis to assess clonality, simplifying the diagnosis of T-LGLL.

Implications of detecting serum monoclonal protein by MASS-fix following stem cell transplantation in multiple myeloma.

Measurable residual disease (MRD) assessment by marrow-based next-generation flow cytometry (NGF) following autologous stem cell transplantation (ASCT) may lead to false-negative results due to patchy marrow involvement and extramedullary disease in patients with multiple myeloma. We assessed the value of simultaneous MRD evaluation with NGF and serum matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MASS-FIX). Of all 61 complete responders who were NGF-negative for MRD, around day-100 post ASCT, 59% were MASS-FIX-positive. At median follow-up of 26 months, 69% of MASS-FIX(+)/NGF(-) patients were alive and progression-free versus 96% of MASS-FIX(-)/NGF(-) patients, P = 0·02. MASS-FIX, a simple peripheral blood-based assay complements marrow-based NGF to accurately prognosticate patients with myeloma.

Flow cytometric evaluation of TRBC1 expression in tissue specimens and body fluids is a novel and specific method for assessment of T-cell clonality and diagnosis of T-cell neoplasms.

BACKGROUND: Flow cytometric detection of T-cell clonality is challenging. The current available methodology for T-cell receptor (TCR) Vß repertoire evaluation is a complex assay and has limited sensitivity especially for detecting low levels of disease. Therefore, there is an unmet need for a reliable, simple, and rapid assay to identify T-cell clonality. The rearrangement of the TCRB gene involves the random and mutually exclusive expression of one of two constant ß chain genes (TRBC1 and TRBC2), analogous to the kappa and lambda gene utilization by B cells. METHODS: Here, we used a single TRBC1 antibody, in conjunction with other T-cell associated markers, to detect T-cell clonality in tissue biopsies and body fluids. A total of 143 tissue/body fluid specimens from 46 patients with a definitive diagnosis of a T-cell neoplasm and 97 patients with no T-cell malignancy were analyzed with a cocktail of monoclonal antibodies including CD2/CD3/CD4/CD5/CD7/CD8/CD45/TCRγδ/TRBC1. RESULTS: We examined TRBC1 expression on neoplastic T-cell populations identified based on their immunophenotypic aberrancies, and monotypic TRBC1 expression was identified in all 46 known T-cell lymphoma cases. We applied a similar gating strategy to the 97 cases without T-cell neoplasms, and arbitrarily dissected T-cell populations into immunophenotypically distinct subsets; in this group, we found that all cases revealed an expected polytypic TRBC1 expression in all subsets. CONCLUSIONS: Single TRBC1 antibody detection of T-cell clonality by flow cytometry is a simple, rapid, and robust assay that could be routinely utilized in flow cytometric laboratories.

Cytoplasmic Expression of CD3ε Heterodimers by Flow Cytometry Rapidly Distinguishes Between Mature T-Cell and Natural Killer-Cell Neoplasms.

OBJECTIVES: Distinguishing between T-cell and natural killer (NK)-cell neoplasms could be difficult given their overlapping immunophenotype. In this study, we investigated whether a flow cytometry assay with cytoplasmic staining for CD3 could be used for this purpose. METHODS: Flow cytometry immunophenotyping was performed on 19 surface CD3 (sCD3)-negative mature T-cell neoplasms, 10 sCD3-positive mature T-cell neoplasms, 13 mature NK-cell neoplasms, and 19 normal controls. In addition to routine antibody panels (CD2, sCD3, CD4, CD5, CD7, CD8, CD16, CD45, CD56, CD57, CD94, CD158a, CD158b, CD158e, NKG2A TCRγ/δ), cytoplasmic staining for a monoclonal CD3 antibody (clone SK7/Leu-4) was assessed in all cases. A molecular study for T-cell receptor (TCR) gene rearrangement and an immunohistochemical study for TCRß were performed. RESULTS: Our data showed all T-cell neoplasms were uniformly positive for cytoplasmic CD3 (cCD3) regardless of sCD3 expression, whereas 85% of NK-cell neoplasms completely lacked cCD3 expression. The 2 cases with classic NK-cell immunophenotype but partial cCD3 expression showed no molecular genetic features of T-cell lineage by TCR gene rearrangement studies. CONCLUSIONS: Uniform cCD3 positivity and homogeneous cCD3 negativity highly suggest T-cell and NK lineage, respectively. When partial cCD3 expression is encountered, additional confirmatory studies should be pursued for the most accurate lineage assignment.

Single Antibody Detection of T-Cell Receptor αß Clonality by Flow Cytometry Rapidly Identifies Mature T-Cell Neoplasms and Monotypic Small CD8-Positive Subsets of Uncertain Significance.

BACKGROUND: The diagnosis of T-cell neoplasms is often challenging, due to overlapping features with reactive T-cells and limitations of currently available T-cell clonality assays. The description of an antibody specific for one of two mutually exclusive T-cell receptor (TCR) ß-chain constant regions (TRBC1) provide an opportunity to facilitate the detection of clonal TCRαß T-cells based on TRBC-restriction. METHODS: Twenty patients with mature T-cell neoplasms and 44 patients without evidence of T-cell neoplasia were studied. Peripheral blood (51), bone marrow (10), and lymph node (3) specimens were evaluated by 9-color flow cytometry including TRBC1 (CD2/CD3/CD4/CD5/CD7/CD8/CD45/TCRγδ/TRBC1 and/or CD2/CD3/CD4/CD5/CD7/CD8/CD26/CD45/TRBC1). Monophasic TRBC1 expression on any immunophenotypically distinct CD4-positive or CD8-positive/TCRγδ-negative T-cell subset was considered indicative of clonality. RESULTS: Monophasic (clonal) TRBC1 expression was identified on immunophenotypically abnormal T-cells from all 20 patients with T-cell malignancies (100% sensitivity), including 17 cases with either >97% or <3% TRBC1-positive events, and three cases with monophasic homogenous TRBC1-dim expression. All immunophenotypically distinct CD4-positive and CD8-positive/TCRγδ-negative T-cell subsets from 44 patients without T-cell malignancies showed the expected mixture of TRBC1-positive and TRBC-1-negative subpopulations (non-clonal), except for seven patients (16%) with very small CD8-positive T-cell subsets exhibiting a monophasic (clonal) pattern. CONCLUSION: Inclusion of a single anti-TRBC1 antibody into a diagnostic T-cell flow cytometry panel facilitates the rapid identification of T-cell neoplasms, in addition to small monotypic CD8-positive subsets of uncertain significance. © 2019 International Clinical Cytometry Society.

Prevalence and spectrum of T-cell lymphoproliferative disorders in patients with Hypereosinophilia: A reference laboratory experience.

Hypereosinophilia (HE) is defined as persistently elevated absolute eosinophil count (AEC) ≥ 1.5 × 109/L, which can be due to a variety of underlying causes. In this study, we investigated the prevalence and spectrum of T-cell lymphoproliferative disorders in 124 consecutive patients with HE by flow cytometric immunophenotyping. Available medical records, pathology reports and T-cell receptor (TCR) gene rearrangement were reviewed. Fifteen patients (12%) with HE had abnormal T-cell populations that were initially detected by flow cytometry. The presence of immunophenotypically abnormal T cells was not associated with higher AEC or higher absolute lymphocyte count levels, in comparison to those without abnormal T cells. Molecular studies concordantly identified a clonal TCR gene rearrangement in 8 of 10 cases tested. Based on the combination of clinical presentation, morphologic findings and laboratory studies, seven patients were diagnosed with the lymphocytic variant of hypereosinophilic syndrome and five with overt T-cell lymphoma (4 peripheral T-cell lymphoma NOS, 1 primary cutaneous T-cell lymphoma). The remaining three had an unknown diagnosis due to lack of information and additional workup would be warranted. These findings underscore the importance of flow cytometry as a screening tool to identify T-cell lymphoproliferative disorders in patients with HE.

Comprehensive Platelet Phenotypic Laboratory Testing and Bleeding History Scoring for Diagnosis of Suspected Hereditary Platelet Disorders: A Single-Institution Experience.

OBJECTIVES: Patients with hereditary/congenital platelet disorders (HPDs) have a broad range of clinical manifestations and laboratory phenotypes. We assessed the performance characteristics of the International Society on Thrombosis and Haemostasis bleeding assessment tool (ISTH-BAT) and clinically validated platelet laboratory tests for diagnosis of HPDs. METHODS: The records of 61 patients with suspected HPDs were reviewed and ISTH-BAT scores calculated. RESULTS: Nineteen (31%) patients had thrombocytopenia, and 46 (75%) had positive ISTH-BAT scores. Thirteen and 17 patients had prolonged PFA-100 (Dade Behring, Miami, FL) adenosine diphosphate and epinephrine closure times, respectively. Twenty-two had abnormal platelet light transmission aggregation. Twenty-four had platelet transmission electron microscopy (PTEM) abnormalities (10 dense granule deficiency, 14 other ultrastructural abnormalities). Positive ISTH-BAT scores were associated with thrombocytopenia (P < .0001) and abnormal PTEM (P = .002). Twenty-three patients had normal results. CONCLUSIONS: ISTH-BAT identified patients with suspected HPDs but lacked a robust association with laboratory abnormalities. Despite comprehensive laboratory testing, some patients may have normal results.