Timm, Michael

Abstract Background: Multiple myeloma cells are heterogenous in terms of the expression of CD45 and previous studies have suggested important clinical and biological implications of the CD45 expression. It has been shown that expression of CD45 on myeloma cells has prognostic value and that the CD45 positive cells contain the proliferative fraction of the myeloma cells. We have also demonstrated that the CD45+ population has a higher apoptotic rate compared to CD45− cells. Given the hypothesis that CD45+ cells represent myeloma cells earlier in their development and are more proliferative and more dependent on the marrow microenvironment we studied differences between the two populations in patients with different stages of monoclonal gammopathies and in normal plasma cells. Methods: Fresh bone marrow aspirates were subjected to ACK lysis for removal of RBCs subjected to multicolor flow cytometry to study the expression of different surface antigens on the plasma cells. Plasma cells were identified based on their characteristic CD38/45 expression. The surface expression of CD19 (B cell marker), CD56 (NCAM), CD87, (involved in cellular adhesion, cell motility and angiogenesis), CD126 (IL-6 receptor alpha chain), sVEGF (surface VEGF; surrogate measure of VEGF receptor expression), and CD71 (proliferation marker) were studied and compared between the CD45 + and CD45− cells by gating separately on these populations. Results: Patients with active myeloma (76), smoldering myeloma (32), MGUS/amyloid (44), and normal patients (23) were studied. Not all markers were performed on all patients. Among the patient samples, the expression of CD19, CD87, CD71, CD126, and sVEGF were higher among the CD45+ cells compared to CD45− cells (Table: % of cells with expression). There was no significant difference between the two in terms of the expression of CD56. Among the normal plasma cells, the expression of CD19, CD87, CD126 and sVEGF was greater on the CD45+ cells compared to CD45− plasma cells and CD56 was not different. When the patient cells were compared to normal cells, the expression of CD19 was higher among the normal CD45+ plasma cells and CD56, CD87 and CD126 were less. The expression sVEGF was comparable Conclusion: In this study we demonstrate differences between CD45+ and CD45− plasma cells in patients with monoclonal gammopathies. These findings are important for understanding the disease biology and provide an insight into the functional differences seen between these two populations. The increased expression of CD19 in the CD45+ cells supports the notion that these cells are likely to be at an earlier developmental stage. The comparable CD56 expression is not in accordance with previous studies and needs to be examined in a larger group of patients. Increased expression of sVEGF and CD126 as well as the adhesion molecules is in accordance with increased responsiveness and dependence of the CD45+ cells to VEGF and IL-6 and the increased proliferative rates. These findings indirectly support the hypothesis that CD45 negative cells are less dependent on the marrow microenvironment and the cytokine milieu that it provides.

Abstract Background: Prior studies suggest that the presence of >5% polyclonal plasma cells (pPCs) among total plasma cells (PCs) within the bone marrow (BM) is associated with a longer progression-free survival, higher response rates, and lower frequency of high-risk cytogenetic abnormalities in patients with newly diagnosed multiple myeloma (MM). However, the incidence and prognostic utility of this factor in patients with relapsed and/or refractory MM has not been previously evaluated. Thus, we evaluated the prognostic value of quantifying the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM. Methods: We evaluated all MM patients with actively relapsing disease (biochemical and/or symptomatic) seen at the Mayo Clinic, Rochester, from 2012 to 2013, who had BM samples evaluated by seven-color multiparametric flow cytometry. All patients had at least 24 months of follow-up from the date of flow evaluation. Cell surface antigens were assessed by direct immunofluorescence antibodies for CD45, CD19, CD38, CD138, cytoplasmic Kappa and Lambda Ig light chains, and DAPI nuclear stain. The flow cytometry data was collected using the Becton Dickinson FACSCanto II instruments that analyzed 150,000 events (cells); this data was then analyzed by multi-parameter analysis using the BD FACS DIVA Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Clonal PCs were separated from pPCs based on the differential expression of CD45, CD19, DAPI (in non-diploid cases), and immunoglobulin light chains. The percentage of pPCs was calculated in total PCs detected. Survival analysis was performed by the Kaplan-Meier method and differences were assessed using the log rank test. Results: There were 180 consecutive patients with actively relapsing MM who had BM biopsies analyzed via flow cytometry as part of their routine clinical evaluation. The median age of this group was 65 years (range: 40 - 87); 52% were male. At the time of this analysis, 104 patients had died, and the 2-year overall survival (OS) rate for the cohort was 58%. The median number of therapies received was 4 (range: 1 - 15). Of these patients, 61% received a prior ASCT, and almost all (99%) received prior regimens containing either immunomodulators or proteasome inhibitors. There were 55 (30%) patients with >5% pPCs among the total PCs in their BM. The median percentage of pPCs among total PCs in these 55 patients was 33% (range: 5 - 99). The median OS for those with >5% pPCs was not reached compared with 22 months for those with <5% pPCs (P = 0.028; Figure 1). Patients with <5% pPCs PCs had a higher likelihood of high-risk FISH cytogenetics compared with the rest of the patients. In a univariate analysis, increasing number of pPCs was associated with an improved OS, while higher labeling index, number of prior therapies, and the presence of high-risk FISH cytogenetics were associated with a worse OS. In a multivariate analysis, only the increasing number of pPCs (P = 0.006), higher labeling index (P = 0.0002) and number of prior therapies (P = 0.003) retained statistical significance. Conclusion: Quantitative estimation of the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM was determined to be a predictor of worse OS. As such, this parameter is able to identify a group of patients with MM with actively relapsing disease who have a particularly poor outcome. Further studies evaluating its biological significance are warranted. Figure 1 Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Figure 1. Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Disclosures Kapoor: Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Prothena Therapeutics: Research Funding; Novartis: Research Funding; Alnylam Pharmaceuticals: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Celgene: Honoraria; NCI Frederick: Honoraria; Sandoz Inc: Honoraria; GSK: Honoraria; Ionis: Research Funding; Annexon Biosciences: Research Funding. Kumar:AbbVie: Research Funding; Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy.

Abstract Background: Proliferation rate of plasma cells (PC) is a powerful tool in evaluating all types of monoclonal gammopathies, predicting for progression as well as survival in all phases of the disease. A flow cytometry (FC)-based method to delineate the cell cycle of clonotypic PCs and determine the proportion in S-phase was developed. This method replaces a labor-intensive slide based methodology, but the prognostic power of this FC approach has not been clearly elucidated. Methods: A total of 1061 patients who had bone marrow (BM) FC PC proliferation analysis at Mayo Clinic, Rochester from May 2012 to December 2013 were studied. These included MGUS/ SMM (n=134), newly diagnosed (NMM; n=88), plateau in response (>=PR; n=544), and stable disease (n=38), and relapsed disease (RMM; n=257). PC proliferation was measured by 8-color FC using antibodies to CD19, CD38, CD138, CD45, and cytoplasmic kappa and lambda Ig light chains, and DAPI DNA staining. The DNA content of the abnormal, clonotypic PCs was specifically analyzed and the %S-phase was determined by measuring the proportion of cells between G0/G1 and G2/M. All studies collected 5x105 events on BD FACSCanto II instruments and analysis was performed with BD FACSDiva software. The CV of the DAPI staining of G0/G1 lymphocytes as an internal control population was always less than 3.5. Patients with fewer than 300 PCs for assessment of %SP were designated as 0%. Results: The median follow up from testing for the entire cohort was 13 months (95% CI; 12.7, 13.3); 156 (15%) had died. The proportion of patients with adequate numbers of plasma cells available for %SP estimation and the median (IQR) %SP for the different groups are as shown in table. As expected, patients with MGUS/SMM and those in a response state had slightly lower proportions of patients with sufficient PCs to estimate %SP. The clinical features and outcomes were further analyzed using two cutoffs, %SP ≥1 and ≥2, in the different patient groups. Among most of the disease groups, especially the newly diagnosed MM and relapsed disease, %SP was prognostic for OS using both cutoffs (Table). Among the NMM in univariate analysis, %SP ≥2, B2microglobulin >5.5, age >70 and creatinine > 2 mg/dl were all significant, but only B2microglobulin >5.5 retained significance in multivariable analysis. Among the RMM, in univariate analysis, %SP ≥2, B2microglobulin >5.5, HR FISH (t4; 14, t14;16, t14;20 & del17p) and LDH >221 were all significant, but only %SP ≥2 was significant in multivariable analysis. Conclusion: The %S-phase of clonal PCs determined by FC is of prognostic value in patients with MM, in all disease phases. This is particularly relevant among patients with relapsed disease, where it is independent of some of the other known poor prognostic factors such as high risk FISH. This is in sharp contrast with recent studies that have shown no prognostic value for slide based labeling index in patients treated with novel agents. Abstract 2053. Table MGUS/SMM NMM >=PR SD Relapse N 134 88 544 38 257 N (%) with PCs measurable for proliferation 103 (77%) 84 (96%) 245 (45%) 31 (82%) 210 (82%) %SP (IQR) 0.3(0.1-0.7) 0.8 (0.4- 1.5) 0(0- 0.9) 0.8(0.3-1.3) 1.2(0.4- 2.7) OS (%SP >1 vs. rest) NS NR for either(P<0.01) NR for either (P<0.001) NR for either(P=0.02) 19 vs. NR(P<0.001) OS (%SP >2 vs. rest) NS NR for either (P=0.03) 20 vs. NR(P<0.001) NR for either(P=NS) 16 vs. NR(P<0.001) Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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

AbstractTrisomies of odd numbered chromosomes are seen in nearly half of patients with multiple myeloma (MM) and typically correlate with a hyperdiploid state and better overall survival (OS). We compared DNA ploidy of monoclonal plasma cells (as a surrogate for the presence of trisomies) assessed simultaneously by PCPRO (plasma cell proliferative index), a novel method that estimates DNA index by multi‐parametric flow cytometry to fluorescence in situ hybridization (FISH) in 1703 patients with plasma cell disorders. The distribution of ploidy was hyperdiploid: 759 (45%), diploid 765 (45%), hypodiploid: 71 (4%), tetraploid/near‐tetraploid: 108 (6%). FISH identified trisomies in 82% (621/756) of patients with hyperdiploidy by PCPRO and no trisomy by FISH was observed in 88% (730/834) of patients without hyperdiploidy. 95% (795/834) of patients without hyperdiploidy on PCPRO had one or less trisomy by FISH. Sensitivity and specificity of PCPRO for detecting hyperdiploidy was 86% (621/725) and 84% (730/865), respectively. Sensitivity increased to 94% (579/618) for patients with more than one trisomy. Newly diagnosed MM patients with hyperdiploidy on PCPRO (147/275) had better OS compared to nonhyperdiploid patients (median not reached vs 59 months, P = 0.008) and better progression free survival (median: 33 vs 23 months, P = 0.03). Within the hyperdiploidy group, patients with high‐hyperdiploidy (DNA index: 1.19‐1.50) versus those with low‐hyperdiploidy (DNA index: 1.05‐1.18) had superior OS (3 year OS of 88% vs 68% P = 0.03). Ploidy assessment by flow cytometry can provide rapid, valuable prognostic information and also reduces the number of copy number FISH probes required and hence the cost of FISH.

Abstract Introduction: Hyperdiploidy on FISH portends a good prognosis in myeloma. We compared hyperdiploidy determined by MFC to that by conventional FISH. Methods: We studied 1711 patients with plasma cell disorders who had simultaneous FISH and DNA index testing. Monotypic plasma cells in bone marrow are identified by MFC with antibodies to CD19, CD38, CD45, CD138, kappa and lambda; followed by staining by DAPI. DNA index is determined by dividing the measured DNA content of the G0/G1 abnormal plasma cells by the DNA content of the normal G0/G1 plasma cells present. Plasma cells with DNA content index of &lt;0.95 are hypodiploid and G0/G1 DNA content index of &gt;1.05 are considered hyperdiploid. Results: Distribution DNA index and FISH results are described in Table 1. Sensitivity and specificity of DNA index by hyperdiploidy was 86% and 83%. Cohen's Kappa coefficient for concordance was 0.69. Sensitivity increased to 94% for those with 2 or more trisomies and 97% for 3 or more trisomies. Of the 104 patients with trisomy and non-hyperdiploid DNA index, 62% patients had monosomy (mono) or deletion (del) 13q. Overall, DNA index was lower in patients with mono 13/del 13q (1.01; 0.97-1.11) compared to those without (1.07; 1.0-1.19), p&lt;0.001. After excluding patients with mono 13/del 13q, sensitivity and specificity of hyperdiploidy by DNA index were 92% and 82%, kappa = 0.73. Hyperdiploidy was seen in 55% of 272 patients with newly diagnosed myeloma. Sensitivity and specificity were 88% and 93%, kappa = 0.78. After median follow-up of 2.3 yrs, those with hyperdiploid DNA index had better progression free survival at 2,3 and 5 years, 62%, 45% and 21% compared to 50%, 33% and 13% in non-hyperdiploid group, p=0.05. Median overall survival (OS) was not reached; estimated 2, 3 and 5 year OS was 83%, 76% and 63% vs. 76%, 64% and 44%, respectively; p=0.08. Conclusions: DNA index by MFC is a rapid method to determine hyperdiploidy, with potential for replacing trisomy testing by FISH, especially when coupled with monosomy FISH probes. Hyperdiploid N=768 n/N (%)Diploid N=762 n/N (%)Hypodiploid N=78 n/N (%)P1P2Any trisomy 619/765 (81)96/758(13)8/76 (11)&lt;0.001&lt;0.001One chromosome42587733191429-111362Others12204Two chromosomes8525-Three or more chromosomes492131Any translocation124/744 (17)566/748 (76)53/74 (72)&lt;0.001&lt;0.001t(4;14)106313t(11;14)2240127t(14;16)5325t(14;20)38-t(6;14)8104Unknown partner76524Trisomy + Translocation95/743 (13)60/744 (8)6/74 (8)0.0090.002Monosomy 13/17 or deletion 13q/17p252/759 (33)295/744 (40)54/74 (73)&lt;0.0010.0001Monosomy 13/Deletion 13q208/717 (29)282/718 (39)20/70 (29)Monosomy 17/Deletion 17p70/749 (9)50/735 (7)20/72 (28)P1= three groups; P2= hyperdiploid vs. non-hyperdiploid Citation Format: Surbhi Sidana, Nidhi Tandon, Dragan Jevremovic, Rhett P. Ketterling, Angela Dispenzieri, Morie A. Gertz, Francis K. Buadi, Martha Q. Lacy, William Morice, Curtis A. Hanson, Michael Timm, Patricia Greipp, Linda B. Baughn, David Dingli, Suzanne R. Hayman, Wilson I. Gonsalves, Prashant Kapoor, Robert A. Kyle, Nelson Leung, Ronald S. Go, John A. Lust, S.Vincent Rajkumar, Shaji K. Kumar. Hyperdiploidy in plasma cell disorders using multi-parametric flow cytometry (MFC) vs. FISH [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 655.

AbstractPrior studies have revealed that the presence of increasing number of polyclonal plasma cells (pPCs) in the bone marrow (BM) are associated with better outcomes in newly diagnosed multiple myeloma (MM) patients. This effect has not been studied in patients with MM at the time of disease relapse. We determined the prognostic value of depletion of pPCs in the BM by 7‐color multiparameter flow cytometry in a series of 174 relapsing MM patients. The time to next therapy (TTNT) in those with <5% pPCs was 9.4 months versus 13.9 months in those with ≥5% pPCs (P = .0091). The median overall survival (OS) in those with <5% pPCs was 21.4 months, while the median OS was not reached in those patients with ≥5% pPCs (P = .019). Of the 109 patients with standard risk cytogenetics, the median OS of those with <5% pPCs was 28.4 months, while the median OS was not reached in those with ≥5% pPCs (P = .033). As such, <5% pPCs in the BM appears to have prognostic utility in identifying a subset of relapsing MM patients, even with standard‐risk cytogenetics, who have a particularly adverse outcome.

SummaryHighly sensitive flow cytometry studies may incidentally identify B cell clones when used to assess plasma cell clonality in bone marrows. Clinical history, which can help differentiate related clones (low grade B cell lymphoma with plasmacytic differentiation/LBCL‐PD) from unrelated ones (plasma cell proliferative disorder (PCPD) with an unrelated B cell clone), is often unavailable in referred specimens. We sought to identify morphologic or phenotypic features that would help predict the significance of these clones in the absence of history. We included only cases with identical light chain B and plasma cell clones, as determined by 6‐color flow cytometry with additional DNA ploidy analysis, in which the relationship between clones could be established by review of medical records. There were 26 cases; 18 were related (14 were Waldenstrom macroglobulinemia) and eight were unrelated (seven multiple myeloma). Features seen exclusively in LBCL‐PD include CD19+/CD45+ clonal plasma cell phenotype (66·7%, P = 0·0022) and morphologic features such as paratrabecular bone marrow involvement, increased mast cells, and plasma cells surrounding B‐cell nodules. Aneuploidy was identified exclusively in PCPD cases (75%, P = 0·000028). We conclude that CD19+/CD45+ clonal plasma cell phenotype and aneuploidy are useful in distinguishing related clones (LBCL‐PD) from unrelated clones (PCPD).