Tumor suppressor CD99 is downregulated in plasma cell neoplasms lacking CCND1 translocation and distinguishes neoplastic from normal plasma cells and B-cell lymphomas with plasmacytic differentiation from primary plasma cell neoplasms.

CD99(MIC2) is a widely expressed cell surface glycoprotein and functions as a tumor suppressor involved in downregulation of SRC family of tyrosine kinase. CD99 expression is tightly regulated through B-cell development. The principal aims of this study were to investigate the clinical utility of CD99 expression (i) in distinguishing normal plasma cells from primary plasma cell neoplasms; (ii) in detection of minimal residual disease in primary plasma cell neoplasms; and (iii) in distinguishing plasma cell component of B-cell lymphomas from primary plasma cell neoplasms. We analyzed expression of CD99 by flow cytometry and immunohistochemistry in lymph nodes, peripheral blood, and bone marrow samples. CD99 showed stage-specific expression with highest expression seen in precursor B and plasma cells. In contrast to the uniform bright expression on normal plasma cells, CD99 expression on neoplastic plasma cells was lost in 39 out of 56 (69.6%) cases. Furthermore, 8 out of 56 samples (14%) showed visibly (>10-fold) reduced CD99 expression. Overall, CD99 expression was informative (absent or visibly dimmer than normal) in 84% of primary plasma cell neoplasm. In the context of minimal residual disease detection, CD99 showed superior utility in separating normal and abnormal plasma cells over currently established antigens CD117, CD81, and CD27 by principal component analysis. Preservation of CD99 expression was strongly associated with cyclin D1 translocation in myeloma (p < 0.05). B-cell lymphomas with plasma cell component could be distinguished from myeloma by CD99 expression. In summary, we established that tumor suppressor CD99 is markedly downregulated in multiple myeloma. The loss is highly specific for identification of abnormal cells in primary plasma cell neoplasms, and can be exploited for diagnostic purposes. The role of CD99 in myeloma pathogenesis requires further investigation.

INTRODUCTION

CD99(MIC2) is a widely expressed cell surface glycoprotein and functions as a tumor suppressor involved in downregulation of SRC family of tyrosine kinase activity[1-3]. Within the hematopoietic system CD99 regulates leukocyte transendothelial migration[4-8], adhesion, and aggregation[9], and facilitates immune surveillance through MHC class I transport from Golgi to cell surface[10].

In hematopoietic lineages CD99 is most highly expressed on early T and B lymphoblasts, leukemic stem cells, and granulocytic precursors [3, 4, 11]. During B cell maturation CD99 expression is lost upon transition from pre B1 to pre B2 stages, and remains low in naïve B cells[11-13]. Moderate and high expression of CD99 is seen respectively on tissue memory B cell and plasma cells by immunohistochemical studies[14, 15]. Variable CD99 expression was previously reported in plasma cell neoplasms by immunohistochemistry[16]. Expression of CD99 in low grade B cell lymphoma with plasmacytic differentiation has not been investigated.

Flow cytometry immunophenotyping has been established as a powerful diagnostic and monitoring tool in plasma cell neoplasms and non-Hodgkin lymphomas. Compared to immunohistochemical antigen assessment, flow cytometry provides additional diagnostic information including simultaneous assessment of multiple antigens expressed on the same cell, quantitative description of the antigen density, as well as relative proportions of individual populations. Flow cytometry has proven to be more sensitive for evaluation of minimal residual disease and is frequently helpful in distinguishing closely related disease entities[17, 18].

Presence of minimal residual disease post therapy in multiple myeloma by flow cytometry has been consistently associated with inferior outcomes including shorter duration of progression-free survival post treatment [19-26]. The primary goal of the assay is to separate normal residual plasma cells from their neoplastic counterparts. Numerous antigens have been suggested as useful based on differential expression between most normal plasma cells and subsets of their neoplastic plasma cell counterparts. Euroflow consortium has evaluated the utility of numerous antigens by principal component analysis and identified CD19, CD27, CD38, CD45, CD56, CD81, CD117, CD138, cytoplasmic kappa and lambda light chains as most useful in this setting[27-29]. This formed the basis for Euroflow two-tube plasma cell minimal residual disease Memorial Sloan Kettering cancer center single tube 10-color assays[28, 30].

Both low-grade B cell lymphomas with plasmacytic differentiation and primary plasma cell neoplasms present with neoplastic plasma cell component. While low-grade B cell lymphomas usually have a B cell component occasionally such a definitive B cell component is not easily demonstrable, or an unrelated B cell proliferation may be present in the patients with primary plasma cell neoplasm[31]. These cases pose both diagnostic and clinical challenges.

The principal aims of this study to investigate the clinical utility of CD99 expression (i) in distinguishing normal plasma cells from primary plasma cell neoplasms; (ii) in detection of minimal residual disease in primary plasma cell neoplasms; (iii) in distinguishing plasma cell component of low grade B-cell lymphomas from primary plasma cell neoplasms.

METHODS

Patient samples

All specimens were obtained from patients treated or followed at Memorial Sloan Kettering and used in accordance with Memorial Sloan Kettering policies and institutional review board clearance for use of waste samples. For investigation of CD99 expression in B-cell subsets we analyzed three of each; peripheral blood, bone marrow and reactive lymphoid tissues. In addition we evaluated 7 normal spleens, 4 normal tonsils, 5 reactive lymph nodes by immunohistochemistry. For investigation of CD99 expression on normal and neoplastic plasma cells, we evaluated a total of ten normal bone marrow aspirates from patients without a history of plasma cell neoplasm, thirty (ten by flow cytometry, twenty by immunohistochemistry) bone marrows involved by B-cell lymphoma with plasmacytic differentiation and 85 bone marrow samples from patients with a history of plasma cell neoplasms, including 56 with the presence of abnormal plasma cells (ranging from 0.0002–41.6%). Demographic and diagnostic characteristics of the patients are summarized in supplemental table 1.

Morphologic assessment and immunohistochemistry

All cases were classified based on clinical characteristics, morphological features and routine immunophenotyping by immunohistochemistry and flow cytometry. Immunohistochemistry was performed on formalin fixed paraffin embedded sections using monoclonal antibody clone O13 (Biolegend, San Diego, CA), and standard heat-mediated antigen retrieval/detection on BenchMark ULTRA instrumentation (Ventana Medical Systems, Inc., Tucson, AZ). Plasma cells were identified based on distribution of CD138 staining and cytologic features. While myeloid forms have been reported to express CD99 by flow cytometry, we observed high intensity staining only in small lymphocytes and plasma cells by immunohistochemistry.

Flow cytometry

Samples for analysis of CD99 expression on B cells subsets were stained and analyzed using validated laboratory procedures. Antibody combinations are listed in supplemental table 2. Samples were stained with the antibody cocktail for 15 minutes, lyse-fixed (10% ammonium chloride lyse + 0.25% formaldehyde) for 15 minutes, and washed with PBA solution (phosphate buffered saline + 0.3% bovine serum albumin + 0.1% percent sodium azide preparation) prior to acquisition. The samples were acquired on standardized FACS Canto 10-color instruments (BD Biosciences, San Jose, CA), and analyzed using custom Woodlist software (gift of Brent Wood, University of Washington).

For plasma cell analysis, all samples were stained using a standardized procedure as described previously for Memorial Sloan Kettering single-tube 10-color method, and acquired on FACS CANTO 10-color instruments[30, 32]. The abnormal plasma cell population immunophenotype was first identified by Memorial Sloan Kettering single 10-color tube assay using antibody combination described in Table 2. The CD99 was then substituted for kappa FITC/lambda PE light chain antibodies in the investigational panel for evaluation of CD99 (supplemental table 2). The abnormal plasma cells were gated based on known aberrant antigen expression from the current 10-color tube. CD99 expression was not used in gating to avoid bias.

Cytogenetics/FISH

FISH for t(11;14)(CCND1/IGH) was performed on bone aspirate samples enriched for CD138 positive plasma cells using a Dual color/Dual Fusion probe for CCND1(11q13) /IGH(14q32)(Abbott Molecular), and standard clinical protocols.

Statistical Analysis

Infinicyt™ Flow Cytometry Data Analysis Software (Cytognos SL, Salamanca, Spain) was used for principal component analysis. Automatic Population Separator (APS) based on principal component analysis [6] was used to determine the relative contribution of CD99 to the first principal component separating normal from abnormal plasma cell clusters in the context of CD138/CD38/CD45 /CD56 /CD117 /CD19 /CD81 /CD27. Three database groups were created as follows: normal plasma cell group, abnormal plasma cell group, and residual normal plasma cells in myeloma samples. The normal plasma cell group was created based on 10 normal samples from patients with no history of plasma cell neoplasm. The internal normal plasma cells were gated within the patient samples that had a residual normal population with both normal immunophenotype and an abnormal plasma cell population. For all 56 abnormal samples, we recorded the contribution of variation of each antigen to principal component 1 vector separating abnormal plasma cells from normal plasma cells.

RNA expression analysis

A total of 813 multiple myeloma samples profiled for translocations and gene expression using Whole Genome Sequencing and RNA-Seq were downloaded from the Multiple Myeloma Research Foundation CoMMpass study[33]. Cytogenetic data was curated based on whole genome sequencing data using internally developed tools at TGen. Gene level expression data were quantified using Cufflinks and isoform level expression were estimated using Kallisto and used for downstream analysis. This quantification was based on Ensembl v74 transcript models.

Results

CD99 is tightly controlled during B cell maturation, and is upregulated during plasma cell transition

We first evaluated expression patterns of CD99 in normal bone marrows, blood, and lymphoid tissues by flow cytometry. CD19 positive B cells were subdivided into Pre-BI (bone marrow immature B cells with brightest expression of CD10 and dim CD45), Pre-BII (bone marrow immature B cells with intermediate expression of CD10 and CD45), naïve B cells (CD45bright(br), IgD+, CD27−), germinal center B cells (lymh node B cells with intermediate expression of CD10 and CD38), memory B cells (CD45br, CD27+, IgD−), and plasma cells/plasmablasts (CD38br/CD24−). As previously described[11], CD99 expression is rapidly lost upon transition from Pre-BI to Pre-BII early B cells in the bone marrow. CD99 expression remains low on naïve B cells in bone marrow, peripheral blood, and lymph nodes. No expression of CD99 was seen in lymph node germinal center B cells. CD99 expression increased on memory B cells in peripheral blood and lymph nodes, and reached the highest levels comparable to those seen in pre-B1 B cells on plasma cells/plasmablasts in lymph nodes and marrow samples. The findings are summarized in Figure 1a and b.

Figure 1

A. Representative example of CD99 expression through B cell maturation in bone marrow, blood and lymph node. Early (pre B–I) hematogones (light blue) show high expression, while late (pre-B-II)(yellow), naïve B (green), and germinal center (GC)-B cells (dark purple) show dim to negative expression. The expression is regained on memory B cells (red) and is further increased on plasma cells (purple, emphasized for clarity in selected panels).

B. Summary of CD99 expression (mean fluorescence intensity) in pre-B-I, pre-B-II, naïve B, GCB, memory B and plasma cells is shown.

C. Representative example of CD99 immunohistochemistry staining in normal spleen is shown. Mantle cell (M) composed predominantly of naïve B cells and germinal centers show low level staining, while marginal zones (MZ) composed of memory B cells show increased staining (200X).

D. Representative example of CD99 immunohistochemistry staining in reactive polyclonal plasmacytosis. CD99 stains reactive plasma cells (1000X).

To further evaluate the findings in the context of lymphoid tissue architecture we analyzed spleen (2), tonsil (3), and reactive nodes (5) by immunohistochemistry. In concordance with flow cytometric findings germinal center B cells showed dim to absent staining, mantle zones (consisting of antigen inexperienced B cells) showed dim staining, and splenic marginal zones showed moderate staining for CD99 (Figure 1c). Furthermore, CD99 was uniformly expressed in reactive marrow plasma cells by immunohistochemistry (Figure 1d).

Normal bone marrow plasma cells express high levels of CD99, while majority of neoplastic plasma cells lose CD99 expression

We performed further analysis to investigate whether CD99 expression pattern was different between normal and neoplastic plasma cells. We first evaluated ten bone marrow samples from patients with no history or clinical, morphologic, or laboratory evidence of plasma cell neoplasms. CD99 was brightly and uniformly expressed on normal plasma cells, with no detectable normal plasma cells showing absence of CD99 expression (Figure 2a). We then analyzed 56 samples from patients with a history of primary plasma cell neoplasm who had abnormal plasma cells in the sample. Abnormal plasma cells from the samples were gated based on the aberrant immunophenotype identified from Memorial Sloan Kettering single tube 10-color plasma cell assay. Residual normal polytypic plasma cells with apparent normal immunophenotype were gated separately, if present (42 cases). In contrast to the uniform bright expression on normal plasma cells, CD99 expression on neoplastic plasma cells was lost in 39 out of 56 (69.6%) cases. Furthermore, eight out of 56 samples (14%) showed visibly (more than ten-fold) reduced CD99 expression. Overall, CD99 expression was informative (absent or visibly dimmer than normal) in 84% of primary plasma cell neoplasm samples (Figures 2b and 2c), and showed high specificity and sensitivity for myeloma identification area under the curve for receiver-operator characteristic curve for primary plasma cell neoplasm vs. myeloma was 0.95 (95% confidence interval 0.91–1, p<0.05)) (Figure 2d). CD99 expression was slightly, but significantly (p<0.05) increased on residual normal plasma cells in myeloma samples as compared to samples with no plasma cell neoplasms, arguing against therapy-associated loss of CD99 (Figure 2c).

Figure 2

A. Representative example of normal CD99 expression in reactive bone marrow plasma cells is shown. Normal plasma cells gated from tube 1 (kappa expression-blue, lambda expression-red) and from tube 2 (green) show high CD99 expression.

B. Representative example of neoplastic plasma cells (light blue) show markedly reduced to absent CD99 expression. In contrast residual normal plasma cells (emphasized) show bright CD99 expression.

C. Summary of CD99 expression (mean fluorescence intensity) in normal plasma cells, neoplastic (PCN), PCNs with CCND1 translocation (CCND1), without CCND1 translocation (PCN-CCND1), residual normal (RN) plasma cells in samples from patients with PCN, and in B cell lymphoma with plasmacytic differentiation (BPL) is shown.

D. Receiver-operator characteristic curve curves for myeloma vs. normal plasma cells are shown for all neoplastic samples (circles) and those without CCND1 translocation (triangles)

CD99 shows utility as minimal residual disease antigen for myeloma, and may be useful in identifying abnormal plasma cells by immunohistochemistry

We further compared the utility of CD99 analysis to well-established myeloma minimal residual disease antigens recommended by Euroflow. Principal component analysis was used to calculate percent contribution of each antigen to separation of residual normal plasma cells clusters from abnormal plasma cells. To assure that the internal residual normal plasma cell population is appropriate as a normal control, all gated internal normal plasma cells were merged and compared to a group of ten samples form patients with no history of plasma cell neoplasm. These two groups could not be separated by principal component analysis (Figure 3a). In contrast, abnormal plasma cells could be fully separated from their normal counterparts using principal component one alone (Figure 3b). Principal component one contributions of each antigen to the separation were recorded (Figure 3c). Based on the percent contribution to principal component one, CD99 ranked fourth behind well-established antigens CD19, CD45, and CD56 and ahead of CD117, CD27, CD81, and CD38.

Figure 3

A. Principal component analysis was performed to compare residual normal plasma cells (blue density plots, means indicated by blue circles) in patients with myeloma and plasma cell from reactive marrows (green). No separation was observed.

B. Principal component analysis was performed to compare normal plasma cells (blue density plots, means indicated by blue circles) and neoplastic plasma cells. Full separation could be seen using principal component one component alone

C. Relative (percentage) contributions to principal component one separation are listed.

CD99 is retained on majority of CCND1-IGH translocated cases

In order to evaluate whether CD99 retention is associated with a specific genomic group of myeloma, we compared CD99 status on myeloma cells with the patients’ cytogenetic data. Among abnormal myeloma samples that retained CD99 expression, a majority (six out of eight) showed CCND1-IGH fusion/t(11; 14). Furthermore, a majority (7 out of 12) samples with CCND1-IGH/t(11; 14) expressed CD99, while only (2 out of 45) t(11;14) negative cases expressed CD99 (p<0.01, chi squared test). The mean florescence intensity of CD99 on the abnormal plasma cells was significantly different between CCND1-IGH/t (11; 14) positive and negative cases (p<0.05) (figure 2b, figure 4a). We further confirmed the finding by analyzing CD99 transcript expression in a large myeloma cohort[33] The 813 myeloma samples were grouped into t(11:14) positive and wild-type using the cytogenetic data. A total of 176 samples were classified as t(11:14) positive while 637 were t(11:14) wild-type. As expected significant CCND1 overexpression was seen in the CCND1 translocated group compared to the rest of myeloma samples (Figure 4b). To determine if there is a significant difference in CD99 gene expression between t(11:14) positive and negative cases, a t-test was performed. CD99 expression was significantly reduced in t(11;14) negative cases (p-value=2.13e-20)(Figure 4c).

Figure 4

A. Unlike majority of other myeloma cases, those with CCND1 translocation did show frequent loss of CD99 expression in reactive bone marrow plasma cells is shown. Representative example is shown. Lambda-restricted abnormal plasma cells (red) from CCND1 translocated myeloma case showed near normal level of CD99 expression compared to residual normal plasma cells (green).

B. In an extended cohort of 813 myeloma cases (176 with CCND1 translocation) Cyclin D1 was overexpressed in CCND1 translocated cases as expected.

C. CD99 expression was significantly higher in CCDND1 translocated cases.

CD99 is uniformly expressed in plasma cells in the setting of low grade B cell lymphoma with plasmacytic differentiation

Distinction between primary plasma cell neoplasm and low grade B-cell lymphoma with plasmacytic differentiation is occasionally challenging, particularly in t(11;14) negative cases where Cyclin D1 stain may not be informative. To evaluate if CD99 could be useful in distinguishing between primary plasma cell neoplasm and lymphomatous plasma cells we studied ten cases of B cell lymphoma with plasmacytic differentiation by flow cytometry and thirty cases by immunohistochemistry. CD99 was universally retained on the abnormal plasma cells from B cell lymphoma cases by flow cytometry (Figure 5a) and immunohistochemistry (Figure 5b). By flow cytometry CD99 antigen intensity was significantly higher compared to abnormal plasma cells from myeloma (2731 vs.9673), p<0.05 (Figure 2b) with area under the curve of 0.88 (0.79–0.96, p<0.05) (Figure 5c). The distinction was enhanced once t(11;14) cases were removed (2008 vs 9673) (Figure2b), with a area under the curve of 0.93 (0.85–1, p<0.05) (Figure 5c). Thus, CD99 is useful in differentiating primary plasma cell neoplasm from lymphoma with plasma cell component in the bone marrow.

Figure 5

A. Plasma cells in B cell lymphoma showed bright CD99 expression. Representative example is shown. Lambda-restricted abnormal plasma cells (red) from a patient with LPL showed bright CD99 expression.

B. CD99 expression could also be detected plasma cells in lymphoma with plasma cell component by immunohistochemistry (top row, H&E 400X left CD99 400X and 1000X(inset), right). In contrast CD99 was usually absent in myeloma by immunohistochemistry (bottom row, H&E 1000X left, CD99 1000X, right).

C. Receiver-operator characteristic curves for myeloma vs plasma cells from lymphoma are shown for all neoplastic samples (triangles, grey) and those without CCND1 translocation (circles, black).

Discussion

DIAGNOSIS

This study has demonstrated that in contrast to normal plasma cells, plasma cells in primary plasma cell neoplasm show marked reduction in CD99 expression. The finding builds upon prior studies indicating variable expression of CD99 in multiple myeloma by immunohistochemistry[16]. Down regulation of CD99 expression appears to be specific for primary plasma cell neoplasms. CD99 was retained on neoplastic plasma cells associated with low-grade B-cell lymphomas and in all normal plasma cells. As the number of low-grade B cell lymphomas with plasmacytic differentiation we analyzed by flow cytometry in this study was limited, expanding the cohort could be useful to confirm this finding.

In the context of minimal residual disease analysis CD99 appears to be at least equivalent to CD27, CD81, and CD117 in distinguishing normal from abnormal plasma cells in primary plasma cell neoplasm by flow cytometry. CD99 may be useful as an additional antigen in the panels or as a substitute for one of more antigens used currently. Given the complexity of markers required for successful detection of minimal residual disease, especially in the context antibody therapies which alter expression of plasma cells specific markers such as CD38, availability of a new marker for neoplastic plasma cells may be helpful in designing minimal residual disese assays. Utility of CD99 as a substitute antigen should be evaluated in a larger cohort in a split assay format. In this limited study eliminating CD81 or CD27 in the presence of CD99 did not affect separation between normal and abnormal plasma cells by principal component analysis.

While flow cytometry is clearly the preferred methodology for detection of minimal residual disease, many laboratories may not have access to advanced flow cytometry. In this context immunohistochemical for CD99 in the context of another stain positively identifying plasma cells such as CD138 could be helpful in identifying neoplastic from normal plasma cells, with absence of CD99 strongly suggestive of primary plasma cell neoplasm.

CCND1 ASSOCIATION

Multiple myeloma is a genetically heterogeneous disease characterized by frequent chromosomal fusions involving IgH locus and hyperdiploidy[34]. Cases carrying t(11;14) translocation are frequently reminiscent of B cell lymphoma with plasmacytic differentiation with unique characteristics including frequent expression of B cell antigen CD20, lymphoplasmacytic morphologic appearance, increased number of circulating plasma cells, occasional expression of IgM heavy chains, and lower levels serum monoclonal immunoglobulin[35]. We now demonstrate that CD99 retention is much more frequent in t(11;14) positive myeloma, suggesting another link between B cell lymphoma with plasmacytic differentiation and t(11;14) positive myeloma.

BIOLOGY

High frequency of CD99 loss by abnormal plasma cells suggests that CD99 downregulation may be implicated in pathogenesis of multiple myeloma. SRC family of tyrosine kinase deregulation plays an important part in creating a permissive bone marrow niche for myeloma[36]. CD99 has been shown to downregulate SRC family of tyrosine kinase; this may at least in part be responsible for its purported tumor suppressor activity[2]. Relationship between CD99 loss and SRC family of tyrosine kinase deregulation in myeloma pathogenesis deserves further investigation.

CD99 loss may also modulate migration of plasma cells toward marrow plasma cell niche. Recent study demonstrated a critical role for CD99 in migration towards CXCL12, through ERK mediated pathway[14]. CD99 expressed on monocytes and neutrophils has also been shown to participate in homophilic interaction with endothelial cells and transendothelial migration[6-8]. Disruption of normal migration pattern across endothelial junction may be important in establishing permissive niche for myeloma growth within the bone marrow. Further investigation is necessary to establish the precise role of CD99 in marrow niche interactions by normal and abnormal plasma cells.

SUMMARY

In summary, we established that tumor suppressor CD99 is markedly downregulated in multiple myeloma. The loss is highly specific for identification of abnormal plasma cells in primary plasma cell neoplasms, and can be exploited for diagnostic purposes. The role of CD99 in myeloma pathogenesis requires further investigation.