Olteanu, Horatiu

T-cell clonality testing is integral to the diagnostic work-up of T-cell malignancies; however, current methods lack specificity and sensitivity, which can make the diagnostic process difficult. The recent discovery of a monoclonal antibody (mAb) specific for human TRBC1 will greatly improve the outlook for T-cell malignancy diagnostics. The anti-TRBC1 mAb can be used in flow cytometry immunophenotyping assays to provide a low-cost, robust, and highly specific test that detects clonality of immunophenotypically distinct T-cell populations. Recent studies demonstrate the clinical utility of this approach in several contexts; use of this antibody in appropriately designed flow cytometry panels improves detection of circulating disease in patients with cutaneous T-cell lymphoma, eliminates the need for molecular clonality testing in the context of large granular lymphocyte leukemia, and provides more conclusive results in the context of many other T-cell disorders. It is worth noting that the increased ability to detect discrete clonal T-cell populations means that identification of T-cell clones of uncertain clinical significance (T-CUS) will become more common. This review discusses this new antibody and describes how it defines clonal T-cells. We present and discuss assay design and summarize findings to date about the use of flow cytometry TRBC1 analysis in the field of diagnostics, including lymph node and fluid sample investigations. We also make suggestions about how to apply the assay results in clinical work-ups, including how to interpret and report findings of T-CUS. Finally, we highlight areas that we think will benefit from further research.

Introduction Clonal cytopenias of undetermined significance (CCUS) is defined by the presence of somatic driver mutations/copy number variations in hematopoietic cells in patients with low blood counts, in the absence of morphological evidence for myeloid neoplasms. Patients with CCUS are often symptomatic and can be transfusion dependent (TD), with high rates of progression to myeloid neoplasms, especially myelodysplastic syndromes (MDS). In addition, similar to MDS, there are reports of CCUS patients responding to hypomethylating agents. Due to the lack of a formal diagnosis/morphological dysplasia, CCUS patients are often denied therapies or clinical trial enrollment. We carried out this study to validate our hypothesis that CCUS shares similar clinical and survival characteristics with lower risk MDS (LR-MDS). Methods CCUS patients were prospectively identified from the clonal hematopoiesis clinic, whereas LR-MDS patients were retrospectively identified from our institutional database. LR-MDS was defined as very low, low and intermediate risk MDS based on the R-IPSS categorization. Baseline demographics, blood counts, bone marrow (BM) morphology, cytogenetics, and NGS results were abstracted. Transfusion dependency was defined as requiring at least one unit of red cell or platelets every 4 weeks. The Mann-Whitney-U and Fischer's exact test were used to compare quantitative and qualitative data in subgroups. Kaplan-Meier overall survival (OS) estimates were used for survival analysis and compared using the log-rank test. Results 186 patients were included in the study; 74 (40%) with CCUS and 112 (60%) with LR-MDS, median age 66 years, with 63% being male (Table 1). In the CCUS group, 93% had one or more mutations (67% >1 mutation) detected by NGS, while 7% had clonal cytogenetic abnormalities. Common mutations in CCUS included TET2 (30%), SRSF2 (20%), DNMT3A (13%) and ASXL1 (11%); with 28% of patients being red cell TD and 15% being platelet TD. On application of the R-IPSS stratification, 40%, 45%, 12% and 3% were in the very low, low, intermediate and high risk categories, respectively. LR-MDS subtypes included MDS-RS (50%), MDS-MLD (21%), MDS-EB (10%), MDS del5q (7%), and MDS-U (12%). SF3B1 mutations were seen in 67% (95% of MDS-RS), while TET2 and DNMT3A mutations were seen in 29% and 21%, respectively. 60% of LR-MDS patients had >1 mutation. 44% were red cell TD, while 10% were platelet TD. In comparison to patients with CCUS, LR-MDS patients were more likely to have higher white blood cell counts (p=0.002), higher neutrophil counts (p=0.009), higher platelet counts (p<0.001), be red cell TD (p=0.031), have BM ring sideroblasts (p<0.001), have higher BM blast% (p=0.004) and carry SF3B1 mutations (p<0.001); whereas CCUS patients were more likely to have higher monocyte counts (p=0.009) and more likely to carry IDH1 (p=0.005), ZRSR2 (p=0.005) and ATM (p=0.012) mutations. Importantly there were no differences with regards to R-IPSS cytogenetic risk groups, R-IPSS prognostic categories, platelet TD, and mutations involving TET2, DNMT3A, SRSF2 and ASXL1 and TP53. Notably signal pathway mutations and mutations involving tumor suppressor genes were infrequent (<5%) in both groups. The LR-MDS patients had a longer median follow up (53 vs 15 months) and at last follow up 72 (64%) and 11 (15%) deaths had been documented in the LR-MDS and CCUS groups respectively. 13 (18%) CCUS patients progressed to MDS (10) and AML (3) over a median of 15 months, while 9 (8%) LR-MDS patients progressed to higher grade MDS (1) and AML (8), respectively (median follow up 53 months). There was no difference in the median survival between CCUS (median OS not reached) versus LR-MDS (median OS 8.3 years) (p=0.372, Figure 1). Conclusion In spite of subtle phenotypic/molecular differences between LR-MDS and CCUS, both entities had similar prognostication, distribution of high risk mutations and survival outcomes. Within a short follow-up, 18% of CCUS patients progressed to MDS/AML, indicating that regardless of the absence of dysplasia these entities are a continuum of myeloid neoplasms. In order to improve access to treatments and clinical trial opportunities, we recommend that close consideration be given to consider CCUS as a MDS subtype. Disclosures Shah: Dren Bio: Consultancy.

Introduction Germline predisposition syndromes (GPS) are inherited disorders associated with germinal aberrations that increase the risk of malignancies. While aberrations in certain genes increase the risk for all types of malignancies (Tp53, ATM, CDKN2A, CHEK2), there is a growing list of genes associated specifically with hematological malignancies (GATA2, RUNX1, DDX41, ETV6, ANKRD26). At our institution, we have established a hematology GPS clinic to diagnose and manage GPS and with this report, detail our experience with 130 patients. Methods GPS were investigated in pediatric and adult patients with one or more first degree relatives with hematological/visceral malignancies or in those with antecedent thrombocytopenia (ANKRD26, RUNX1, ETV6), or with specific syndromic features (short telomere syndromes/STS, GATA2 haploinsufficiency, Fanconi anemia/FA, Shwachman-Diamond syndrome/SDS). Depending on the phenotype, specific functional assays such as flow-FISH for telomere length assessment and chromosomal breakage assays were ordered. After informed consent and genetic counselling, germline testing was carried out on peripheral blood mononuclear cell, skin fibroblast, or hair follicle-derived DNA. A custom-designed marrow failure NGS panel (200 genes) was used in most cases and interrogation of variants, in silico studies, and functional assays were carried out as previously described (Mangaonkar et al MC Proc 2019). Copy number variations were identified by aCGH. At the time of progression/worsening cytopenias, bone marrow/lymph node biopsies and NGS (next generation sequencing) were carried out where indicated. Results 130 patients with germline predisposition have been identified to date. The spectrum of disorders seen include STS 29 (22%), FA 17 (13%), GATA2 16 (12%), Diamond Blackfan anemia/DBA 13 (10%), RUNX1-FPD 12 (9%), ATM deletions/mutations 11 (8%), ANKRD26 6 (5%), SDS 5 (4%), DDX41 4 (3%), MPL 3 (2%), CHEK2, MECOM, Tp53 mutations 2 (2%) each, and CBL, CEPBA, ELANE, NF1, CDKN2A, CSF3R, ETV6, and GATA1 mutations, 1 (1%) each. Evidence for clonal evolution (CCUS) and hematological malignancies were seen in 51 (39%) patients, involving all the aforementioned genes/syndromes with the exception of DBA, CBL, ETV6, MPL, CSF3R, and GATA1. Seven (64%) of 11 patients with germline ATM deletions/mutations developed lymphoid malignancies; homozygous ATM (Follicular NHL-1, Burkitt lymphoma-1, T-ALL-1, T-LPD-1) and heterozygous ATM (T-PLL-1, DLBCL-1, CLL-1). Clonal evolution occurred in 11 (69%) of 16 GATA2 haploinsufficient patients (CCUS-2, MDS-3, CMML-1, AML-5) and in 7 (58%) of 12 RUNX1-FPD patients (CCUS-1, MDS-1, MDS/MPN-3, AML-2). Five of 29 (17%) STS patients had clonal progression (CCUS-2, MDS-2, AML-1), and 5 (29%) of 17 FA patients progressed to MDS-2 or AML-3. JMML was seen in one patient with a germline NF1 mutation, while 1 (20%) of 5 SDS patients progressed to AML. NGS data at progression was available in 24 (55%) of 44 myeloid/CCUS progressions, with somatic truncating ASXL1 mutations being most frequent (29%), followed by RAS pathway mutations (15%). AML/MDS progressions in STS, FA, and SDS were universally associated with complex/monosomal karyotypes, translating to refractory disease. Seventeen (39%) of 44 patients with myeloid predisposition underwent allogenic HCT (GATA2-7, FA-3, RUNX1-FPD-3, STS-2, NF1-1, Tp53-1), with 10 (59%) being alive at last follow up (Table 1). Conclusion We demonstrate the spectrum of germline aberrations associated with predisposition to hematological malignancies and outline the phenotypic heterogeneity of clonal transformation. The advent of NGS allows identification of clonal progression earlier than morphological changes, with mutations in ASXL1 and RAS pathway genes being commonly implicated. This study supports the universal development of dedicated germline predisposition clinics. Disclosures Pruthi: CSL Behring: Honoraria; Genentech Inc.: Honoraria; Bayer Healthcare: Honoraria; HEMA Biologics: Honoraria; Instrumentation Laboratory: Honoraria; Merck: Honoraria.

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Abstract 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 β 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.

Abstract 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 TCRβ 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.

Abstract Background Flow cytometric detection of T‐cell clonality is challenging. The current available methodology for T‐cell receptor (TCR) Vβ 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 β 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.

BACKGROUND: Sézary syndrome and mycosis fungoides are two clinically distinct neoplasias of CD4-positive skin-resident T-cells that share remarkable morphologic and immunophenotypic similarities, commonly referred together as cutaneous T-cell lymphoma (CTCL). Prognostic clinical staging in CTCL requires flow cytometric quantitation of peripheral blood tumor cells (Sézary cells), based on aberrant loss of CD7 and/or CD26 within the CD4-positive T-cell compartment. Unfortunately, similar T-cell populations are frequently encountered in reactive conditions, creating uncertainty in the diagnostic interpretation. We recently reported a flow cytometric strategy to assess T-cell clonality using a single antibody (JOVI-1) against one of 2 mutually exclusive T-cell receptor beta constant (TRBC) regions randomly selected during T-cell receptor gene rearrangement. We hereby applied this strategy to a diagnostic Sézary cell flow cytometry panel, resulting in rapid, accurate and unequivocal identification and quantitation of clonal CD4-positive T-cells. METHODS: We studied 33 peripheral blood specimens from 24 patients with CTCL, and 28 specimens from patients with no clinical or laboratory evidence of T-cell malignancy. A routine Sézary cell flow cytometry panel (CD2/CD3/CD4/CD5/CD7/CD8/CD26/CD45) was modified to include a fluorescent labeled antibody against TRBC1. Gated CD4 T-cells were studied to identify discrete subsets lacking CD7, CD26 or both, in addition to other immunophenotypic abnormalities. Within each subset, clonality was defined as a dominant TRBC1-positive or TRBC1-negative population greater than 85%, or a dominant abnormal TRBC1-dim population, as previously described. RESULTS: Peripheral blood specimens from patients with CTCL showed subsets of CD4-positive T-cells lacking CD7 (median=35%; range 1.6% to 96%) or CD26 expression (median=54%; range 6.6% to 98%). Fifteen (45%) of these specimens had other identifiable phenotypic abnormalities, including decreased CD2, CD3, CD4 or CD5. Patients without a T-cell malignancy also had CD4-positive T-cells lacking CD7 (median=13%; range 0.5% to 38%) or CD26 expression (median=9.4%; range 0.7% to 30%), albeit to a lesser extent compared to CTCL patients (p<0.01 and p<0.0001 for CD7 and CD26, respectively). One febrile infant showed loss of CD2 on a small T-cell subset. Discrete CD4-positive T-cell subsets with monotypic TRBC expression were identified in 24 specimens (73%) from patients with CTCL (Figure A), ranging from 30 to12,000 cells/µL (median=632). Importantly, no TRBC-restricted CD4-positive T-cells were detected in any of the 28 patients without a T-cell malignancy. Nine specimens from CTCL patients without a TRBC-restricted subset were reviewed based on morphologic, immunophenotypic and clinical features, yielding no definitive evidence of Sézary cells. Absolute numbers of TRBC-restricted T-cells correlated with numbers of Sézary cells estimated based on lack of CD7 or CD26 expression (R=0.99), or absence of both antigens (R=0.7) (Figure B). However, all cases with no detectable clonal TRBC-restricted T-cells showed significant absolute numbers of CD4-positive T-cells lacking CD7 or CD26 (mean=208 cells/µL, range=22 to 1,078 cells/µL), resulting in common diagnostic uncertainties based on quantitation of these subsets. A narrower gating strategy on these same patients based on the combined loss of CD7 and CD26 yielded lower numbers of abnormal cells (mean=51 cells/µL, range=2 to 556 cells/µL), but grossly underestimated the number of TRBC-restricted CD4-positive T-cells by more than 500 cells/µL in 6 patients with CTCL (Figure B). CONCLUSIONS: A single anti-TRBC1 antibody added to a routine Sézary cell flow cytometry assay provides a rapid, simple and low-cost approach to query for clonality within immunophenotypically distinct CD4 T-cell subsets, eliminating the need for a separate T-cell clonality assay. Diagnostic uncertainties and quantitative biases resulting from immunophenotypic overlaps between Sézary cells and reactive T-cells are virtually resolved. Direct quantitation of clonal CD4 T-cells based on TRBC1 restriction is a biologically sound strategy for blood staging in CTCL, effectively overcoming the limitations and uncertainties of staging by immunophenotypic analysis based on current guidelines. Figure Disclosures Horna: MorphoSys AG: Research Funding.

BackgroundThe 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) β‐chain constant regions (TRBC1) provide an opportunity to facilitate the detection of clonal TCRαβ T‐cells based on TRBC‐restriction.MethodsTwenty 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.ResultsMonophasic (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.ConclusionInclusion 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

This article provides an overview of the role of flow cytometry in the diagnosis, prognosis, and follow‐up of T and NK‐cell lymphoproliferative disorders. For each category, we will briefly discuss the immunophenotypic features of normal T and NK cells, and address technical issues in flow cytometry, the approach to diagnosis in various contexts, pitfalls in interpretation, and its use in follow‐up and post‐therapy management. In addition to reviewing the diagnostic, prognostic, and therapeutic utility of flow cytometric immunophenotyping in several of specific T and NK cell entities, we will also cover some of the new immunophenotypic markers. Furthermore, we will touch upon incorporation of flow cytometry in the final diagnosis, including correlation with other ancillary tests. © 2019 International Clinical Cytometry Society