Abnormal NF-κB2 activation has been implicated in the pathogenesis of multiple myeloma, a cancer of plasma cells. However, a causal role for aberrant NF-κB2 signaling in the development of plasma cell tumors has not been established. Also unclear is the molecular mechanism that drives the tumorigenic process. We investigated these questions by using a transgenic mouse model with lymphocyte-targeted expression of p80HT, a lymphoma-associated NF-κB2 mutant, and human multiple myeloma cell lines.
We conducted a detailed histopathological characterization of lymphomas developed in p80HT transgenic mice and microarray gene expression profiling of p80HT B cells with the goal of identifying genes that drive plasma cell tumor development. We further verified the significance of our findings in human multiple myeloma cell lines.
Approximately 40% of p80HT mice showed elevated levels of monoclonal immunoglobulin (M-protein) in the serum and developed plasma cell tumors. Some of these mice displayed key features of human multiple myeloma with accumulation of plasma cells in the bone marrow, osteolytic bone lesions and/or diffuse osteoporosis. Gene expression profiling of B cells from M-protein-positive p80HT mice revealed aberrant expression of genes known to be important in the pathogenesis of multiple myeloma, including cyclin D1, cyclin D2, Blimp1, survivin, IL-10 and IL-15. In vitro assays demonstrated a critical role of Stat3, a key downstream component of IL-10 signaling, in the survival of human multiple myeloma cells.
These findings provide a mouse model for human multiple myeloma with aberrant NF-κB2 activation and suggest a molecular mechanism for NF-κB2 signaling in the pathogenesis of plasma cell tumors by coordinated regulation of plasma cell generation, proliferation and survival.
NF-κB2 is a member of the NF-κB family of transcription factors that also include NF-κB1 (p105/p50), RelA (p65), RelB, and c-Rel. The full-length NF-κB2 precursor protein p100 contains an amino-terminal Rel homology domain and a carboxyl-terminal region with seven ankyrin repeats. In response to certain cytokines, NF-κB2 is phosphorylated at specific serine residues in its carboxyl-terminal region, leading to partial proteasomal degradation of the carboxyl terminus for the production of p52. The Rel homology domain of p52 then forms active NF-κB dimers with RelB or other Rel proteins, which, once in the nucleus, bind a common DNA sequence motif known as the κB site and regulate the expression of genes crucial to the development and functions of lymphocytes [1, 2].
Constitutive NF-κB2 signaling has been implicated in the pathogenesis of lymphomas. Several mechanisms have been identified wherein activation of NF-κB2 is uncoupled from its normal modes of regulation. Most of these mechanisms target upstream regulators, such as the NF-κB inducing kinase and IκB kinases [3, 4]. Sustained NF-κB2 activation can also be caused by chromosomal translocations and rearrangements at the NF-κB2 locus, which occur in a variety of lymphoid malignancies including T-cell lymphoma, chronic lymphocytic leukemia, multiple myeloma, and B-cell lymphoma . A cardinal feature of these genetic alterations is the generation of C-terminally truncated NF-κB2 mutants that lack various portions of the ankyrin-repeat domain [6–12]. To determine whether NF-κB2 mutation can directly initiate lymphomagenesis, we have generated transgenic mice with targeted expression in lymphocytes of p80HT, a lymphoma-associated NF-κB2 mutant [11, 12]. These transgenic mice develop predominantly B-cell tumors, demonstrating that NF-κB2 mutations can have a causal role in lymphomagenesis .
Multiple myeloma (MM) is a common, incurable malignant tumor of plasma cells. Although much is known about individual genes and signaling pathways that are activated in MM cells, the interplay and connections between these genes and pathways that drive MM development are not well understood. Many MM cell lines have constitutively nuclear NF-κB activity and are sensitive to inhibitors of NF-κB signalling [14–16]. Recent studies have also shown that approximately 40% of MM cell lines and 17% of primary MM tumors have mutations in genes encoding regulators and effectors of NF-κB signaling, which result primarily in constitutive activation of the NF-κB2 pathway [6, 17]. These findings provide genetic evidence for a critical role of NF-κB2 signaling in the pathogenesis of human MM. However, a causal relationship between aberrant activation of NF-κB2 signaling and the development of MM remains to be established. Also, it is unclear at the molecular and cellular levels how NF-κB2 signaling may drive the tumorigenic process.
In the present study, we conducted a detailed analysis of the tumors developed in p80HT mice. Our analysis revealed that approximately half of the tumors are plasma cell tumors that share some of the key pathological features of human MM. Gene expression profiling suggests that p80HT targets multiple cellular processes, including survival, proliferation and differentiation, to promote the development of plasma cell tumors.
p80HT transgenic mice carry the human p80HT coding sequence  under the control of an H-2Kb promoter and an immunoglobulin μ chain enhancer (pHSE3’ expression vector), which direct the transgene expression specifically in T and B lymphocytes [13, 18]. The p80HT mice were generated and maintained on the C57BL/6 J x SJL/J background . All animal studies were pre-approved by the Institutional Animal Care and Use Committee of Georgia Health Sciences University (GHSU).
Histology and immunohistochemistry
Tumor samples were fixed in 10% neutral buffered formalin, embedded in paraffin, sectioned at 5 μm, and stained with Hematoxylin and Eosin (H&E). All tumor samples were examined microscopically in two independent laboratories. For immunohistochemical staining, tumor sections were deparaffinized, rehydrated, and treated with 10 mM citrate buffer (pH 6.0) at 95 °C for 25 min in water bath for antigen retrieval. After quenching of endogenous peroxidase activity with 3% H2O2 and blocking with normal rabbit serum, sections were incubated sequentially with rat anti-mouse CD138 (clone 281-2, 2.5 μg/ml, BD Pharmingen, San Diego, CA) overnight at 4 °C, biotinylated rabbit anti-rat IgG (Vector Laboratories, Burlingame, CA) 30 min at room temperature, and the ABC reagent kit (Vector Laboratories) 30 min at room temperature. The immunostaining was visualized with 3, 3′-diaminobenzidine (Sigma-Aldrich, St. Louis, MO). Section were then counterstained with Hematoxylin before being examined using a light microscope.
Serum protein electrophoresis
Blood samples were collected into microtubes by tail bleeding and sera obtained by microfuge centrifugation for 5 min at 6,000 xg. Serum protein electrophoresis was conducted using a HYDRAGEL K-20 system according to the manufacturer’s instruction (Sebia, Norcross, GA).
For bone mineral density measurement and 3D morphometric analysis, collected femur and spine samples were scanned in a CT (computed tomography) system (Skyscan 1172, Skyscan, Aartlesaar, Belgium). Scanning was performed at an image pixel size of 36.65 μm. Reconstruction of the scanned images was done using a Skyscan Nrecon program. The reconstructed datasets loaded into Skyscan CT-analyzer software for measurement of bone mineral density and 3D morphometric parameters. Fifteen slices measuring 0.55 mm were chosen in femoral head and the body of a thoracic vertebra, and a standardized round region of interest of 1.13 mm diameter was identified along the those slices. The bone mineral density was measured in each region of interest after calibration with hydroxyl apatite phantoms of known density.
Single-cell suspensions were prepared from the bone marrow of p80HT mice according to standard procedures. Red blood cells were lysed in ACK buffer (150 mM NH4Cl, 10 mM KHCO3, 0.1 mM EDTA, pH 7.3) and dead cells removed by passing through Lympholyte-M (Cedarlane Laboratories, Burlington, NC). The remaining cells were then stained with Phycoerythrin (PE)-conjugated rat anti-mouse CD138 (clone 281-2, 2.5 μg/ml, BD Pharmingen), sorted on a FACScan machine (BD Biosciences) and analyzed with FlowJo (Tree Star, Ashland, OR).
Splenic B cells were isolated from 1-year-old p80HT mice that were positive for serum M-protein and from their wild-type littermates (n = 3 per genotype) using rat anti-mouse B220 (RA3-6B2, BD Pharmingen) and magnetic beads (EasySep, Stemcell Technologies, Vancouver, BC, Canada), followed by total RNA extraction using Trizol reagent according to the manufacturer’s instructions (Invitrogen, Carlsbad, CA). RNA samples were quantified with a spectrophotometer (NanoDrop Technology, Wilmington, DE) and their quality was assessed using the Agilent 2100 Bioanalyzer (Agilent Technologies Inc., Santa Clara, CA). RNA samples were further purified with an Ambion WT Expression kit (Life Technologies, Carlsbad, CA) and then run on the Mouse Gene 1.0ST microarray chip (Affymetrix, Santa Clara, CA). Chip hybridization, washing, and imaging were performed in the GHSU Cancer Center Genomics Core using Affymetrix protocols and software with .cel and .txt files generated. Data were normalized, significance determined by ANOVA and fold change was calculated with the Partek Genomics Suite (Partek Inc., St. Louis, MO). Preliminary microarray analysis was performed by the Bioinformatics Resource in the GHSU Cancer Center Genomics Core. Further analysis was done with Microsoft Excel (Redmond, Washington), DAVID , and Ingenuity Pathway Analysis (IPA Ingenuity® Systems http://www.ingenuity.com), with significance of ± 1.5 fold, and P < 0.01. Depending on the software application, filters were applied to duplicates, ESTs, probes with only family similarity and hypothetical proteins. The microarray data in this manuscript are in compliance to MIAME guidelines and have been deposited in the Gene Expression Omnibus at the National Center for Biotechnology Information and is accessible through GEO Series accession number GSE30080 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30080).
Quantitative reverse-transcription PCR (qRT-PCR)
Relative expression of mRNA was determined on the IQ5 Detection System (Bio-Rad, Hercules, CA) using either a SYBR Green (SA Biosystems, Frederick, MD) or a TaqMan gene expression assay kit (Life Technologies), according to the manufacturer’s instructions. Independent samples (n = 3-5) were assayed twice with each assay being conducted in triplicate. TaqMan assays were performed using the following specific primers after extraction by the RNeasy Mini Kit (Qiagen, Valencia, CA): CD27 Mm01185212_g1, Ccnd1 Mm00432359_m1, Ccnd2 Mm00438071_m1, IL-15 Mm00434210_m1 and Gapdh Mm03302249_g1. The following SYBR Green primers were used after Trizol extraction: survivin forward 5′-GCGGAGGCTGGCTTCA-3′, reverse 5′-CCTGGCTCTCTGTCTGTCCA-3′; IL-10 forward 5′-TGCTATGCTGCCTGCTCTTA-3′, reverse 5′-TCATTTCCGATAAGGCTTGG-3′. Normalized mRNA expression was calculated in comparison to control samples relative to Gapdh. Significance was determined by two-tailed Student t test (P < 0.05).
Human MM cell lines RPMI-8226 (CCL-155, ATCC, Manassas, VA) and EJM were cultured in RPMI1640 with L-glutamine, 10% FBS and 25 μg/ml gentamicin, and H929 in RPMI1640 supplemented with 10% FBS, 1% penicillin/streptomycin and 50 μM β-mercaptoethanol. All cell lines were cultured in humidified air at 37 °C and 5% CO2. For blocking Stat3 activity, S3I-201 (BioVision, Milpitas, CA) was dissolved in DMSO and 100 mM stock solution was prepared. The MM cell lines were treated with S3I-201 at the final concentrations of 50, 100, or 200 μM. DMSO (0.05-0.2%) was used as negative control (untreated). Trypan blue exclusion assays were performed to quantify the numbers of viable and dead cells at various time points following S3I-201 treatment.
Cells were suspended in standard SDS sample buffer and protein concentrations were determined using a protein assay kit (Bio-Rad, Hercules, CA) with bovine serum albumin as reference. Proteins (50 μg) were separated on SDS-polyacrylamide gels, transferred to nitrocellulose membranes, and probed with the following primary antibodies: mouse anti-cyclin D1 (sc-20044, 1:200, Santa Cruz Biotechnology, Santa Cruz, CA), rabbit anti-cyclin D2 (#2924, 1:1000, Cell Signaling, Danvers, MA), rabbit anti-Stat3 (sc-482, 1:1000, Santa Cruz Biotechnology), rabbit anti-phospho-Stat3-Tyr705 (clone D3A7, #9145, 1:2000, Cell Signaling), mouse anti-survivin (clone D8, sc-17779, 1:100, Santa Cruz Biotechnology), and mouse anti-α-tubulin (B-5-1-2, 1:5000; Sigma-Aldrich). Horseradish peroxidase-conjugated goat anti-mouse and goat anti-rabbit IgG (Santa Cruz Biotechnology) were used as secondary antibodies. Proteins were visualized using a SuperSignal West Pico chemiluminescence kit (Pierce, Rockford, IL).
p80HT mice develop B-cell and plasma cell tumors
Our previous study has shown that p80HT transgenic mice develop predominantly B-cell tumors, as demonstrated by B220 immunohistochemistry staining and antigen-receptor gene rearrangements at the immunoglobulin heavy chain μ locus . B-cell malignancies are a diverse group of B-cell lymphomas and leukemias, including B-lineage acute lymphoblastic leukemia, chronic lymphocytic leukemia, small lymphocytic lymphoma (also called small B-cell lymphoma), Burkitt’s lymphoma, follicular lymphoma, diffuse large B-cell lymphoma, MM, and plasmablastic lymphoma. A detailed histological examination of 12 tumor samples from the previous study  revealed that half of them (6/12) were plasma cell tumors, three were small B-cell lymphomas, two were diffuse large B-cell lymphomas, and one was T-cell lymphoma (Figure 1A). Immunohistochemistry staining for CD138, a marker for plasma cells, confirmed the accumulation of plasma cells in the tumors (Figure 1B and 1C for representative tumor samples). One of the three available bone marrow samples from the p80HT mice with plasma cell tumors showed an excess of bone marrow plasma cells (Figure 1C). Thus, p80HT mice develop three major types of B-lineage lymphomas.
In light of the recent findings suggesting an important role of NF-κB2 signaling in the pathogenesis of human MM [6, 17], we characterized the mouse plasma cell tumors to determine to what extent they recapitulate human MM, which is characterized by a marked increase in the bone marrow plasma cell content (>10% of the total bone marrow cellularity), monoclonal proliferation of plasma cells as indicated by the production of M-protein in the serum, osteolytic bone lesions and/or osteoporosis, and other related organ damages . We collected serum samples from 25 p80HT mice at 1 year of age and serum protein electrophoresis showed that 10 of the samples (40%) contained M-protein, which was seen as a dense band or peak (M-spike) within the γ globulin region of serum proteins on an agarose gel (Figure 2A for representatives). Three of the 10 M-protein-positive p80HT mice were sacrificed for gene expression profiling (see below) and the remaining 7 mice were monitored for tumor development. Five of the 7 p80HT mice developed plasma cell tumors and became moribund within one and half years, and two of them (#6698 and #7453) had a marked increase in the bone marrow plasma cell content (>10% of the total bone marrow cellularity) compared with <2% for their WT littermates (Figure 2B). X-ray examination and bone mineral density assay revealed that bone samples from the 5 moribund p80HT mice had lytic bone lesions (Figure 2C) and a significant decrease in bone mineral density compared to the bone samples form age- and sex-matched WT littermates (Figure 2D). Together, these data demonstrate that plasma cell tumors developed in p80HT mice share key pathological features of human MM.
Gene expression profiling of B cells from p80HT mice
To gain a molecular understanding into the oncogenic activity of p80HT in plasma cell tumor development, we examined the gene expression profile of B cells isolated from 1-year-old p80HT mice that were positive for serum M-protein and from their wild-type littermates (n = 3 per genotype). We focused on B cells based on the reasoning that identification of genes activated in these plasma cell precursors might shed light on the molecular and cellular processes that drive the development of plasma cell tumors. Microarray analysis identified a total of 201 genes that were significantly changed (± 1.5 fold, and P < 0.01), with 126 being upregulated and 75 downregulated (Additional file 1: Table S1). The top 20 up- and downregulated genes were tabulated by fold change (Table 1), and Gene Ontology (GO) analysis for biological functions revealed that many of these genes are involved in regulation of lymphocyte development, proliferation and apoptosis. We further analyzed the 201 p80HT-regulated genes by the gene annotation enrichment analysis tools DAVID and IPA. DAVID identifies the over-representation of GO terms , and IPA assigns biological functions to differentially expressed genes and groups them according to the biological processes in which they function (Ingenuity). The top GO biological process identified by DAVID analysis is regulation of cell proliferation (Figure 3A) and the p80HT target genes associated with the process are listed in Table 2. Many of these genes are also present in the top network identified by IPA (Figure 3B). Together, these analyses revealed a network of p80HT target genes with functional significance in the pathogenesis of MM by regulation of the differentiation, proliferation and apoptosis of plasma cells and/or MM cells.
Top 20 up and downregulated genes in p80HT B cells
Gene ontology/biological function
Neuropeptide signaling pathway
Positive regulation of cell proliferation
Lymph node development
G-protein coupled receptor protein signaling pathway
Immune response/regulation of gene expression
Positive regulation of transcription, DNA-dependent
Positive regulation of peptidyl-tyrosine phosphorylation
Rab GTPase binding
Wnt receptor signaling pathway
Cell adhesion/signal transduction
Cytokine-mediated signaling pathway
Regulation of transcription
AMP catabolic process
Response to virus
Regulation of cell cycle
Pre-B cell receptor (BCR) signals
Negative regulation of transcription
Regulation of protein amino acid phosphorylation
Zinc ion binding
Positive regulation of cell-matrix adhesion
Protein amino acid phosphorylation
T cell activation
Negative regulation of transcription
Carboxylic acid metabolic process
Negative regulation of cell proliferation
Integrin-mediated signaling pathway
Fatty acid metabolic process
Regulation of transcription, DNA-dependent
Phosphatidylinositol metabolic process
Negative regulation of transcription
Regulation of cell proliferation
IL-10 (+4.02 fold, P = 0.007) promotes the proliferation and survival of MM cells , and cooperates with CD27 (+3.23 fold, P = 0.038) in driving the differentiation of B-cells to plasma cells . IL-15 (+4.57-fold, P = 0.001) has been shown to increase proliferation and inhibit apoptosis in both MM cell lines and primary MM cells . CD80 (+3.5 fold, P < 0.001) interacts with its ligand CD28 (+1.9 fold, P < 0.001) to promote the survival and proliferation of MM cells [24, 25]. Blimp1/Prdm1 (+1.7 fold, P = 0.007) is a transcriptional repressor required for the formation and maintenance of mature plasma cells . Upregulation of cyclin D is a major oncogenic event in MM pathogenesis , and in p80HT B cells, the expression of both cyclin D1 and cyclin D2 was significantly increased (cyclin D1, +2.47 fold, P = 0.038; cyclin D2, +2.58 fold, P = 0.009).
Given the well-established connection between NF-κB and TNF signaling pathways, a focus list of p80HT-regulated genes of the TNF family was independently analyzed. Nine genes with fold changes greater than ± 1.5 fold and P < 0.05 were identified (Table 3). Striking is the increase in both CD30 and CD30L. It is known that CD30L-CD30 signaling enhances cell proliferation, and an examination of a panel of B-lineage lymphomas has shown co-expression of CD30 and CD30L only in MM tumors .
Focus list of differentially expressed TNF genes in P80HT B cells
Gene ontology/biological function
Positive regulation of B cell proliferation/Ig secretion
Regulation of cell proliferation
Regulation of apoptosis
Cell surface receptor linked signal transduction
We confirmed the upregulation of CD27, cyclin D1, cyclin D2, IL-10, IL-15 and survivin in p80HT B cells by qRT-PCR (Figure 3C). Survivin, also called baculoviral IAP repeat-containing protein 5 (BIRC5), is a member of the inhibitor of apoptosis proteins (IAP) and is critical for the survival of human MM cells . Importantly, plasma cell tumor samples from p80HT mice (n = 5) showed even higher levels of cyclin D1, IL-10 and survivin than p80HT B cells (Figure 3C), suggesting that plasma cells or their precursor B cells with high-level expression of these genes were preferentially selected in the development of plasma cell tumors in p80HT mice.
Together, our gene expression profiling and pathway analysis suggest that p80HT promotes the development of plasma cell tumors by coordinated regulation of the generation, proliferation and survival of plasma cells.
Stat3 inhibition induces growth arrest and cell death in human MM cell lines
A particularly interesting finding of above gene expression profiling and pathway analysis is the identification of a novel link between NF-κB2 and IL-10. A key component of the IL-10 signaling pathway is Stat3 [30, 31], which, once activated, can transcriptionally activate a number of genes including cyclin D1, cyclin D2, survivin, and Blimp1 [32, 33]. To probe the significance of this signaling pathway in the survival and proliferation of MM cells, we treated human MM cell lines with a specific inhibitor of Stat3, S3I-201, which blocks Stat3 DNA-binding and transcriptional activities by inhibiting the phosphorylation of the tyrosine residue 705 on Stat3 (pStat3-Y705) , an event leading to Stat3 activation. Three MM cell lines were chosen for our investigation based on their NF-κB index : EJM with the highest NF-κB index, RPMI-8226 an interim index, and H929 with a low level of NF-κB activity. These cell lines were treated with S3I-201 at concentrations above and below the most commonly reported IC50 value of 100 μM . Immunoblot analysis revealed no significant levels of pStat3-Y705 in RPMI-8226 cells even before S3I-201 treatment, and treatment with 100 μM S3I-201 for 24 h had no significant effect on the expression of cyclin D2 and survivin in these cells (Figure 4A, lanes 3-4). Consistent with the observation, RPMI-8226 cells were relatively resistant to S3I-201, displaying significant levels of cell death only at the concentration of 200 μM (Figure 4C). By contrast, H929 and EJM cells showed high levels of pStat3-Y705, which were markedly reduced by treatment with 50 μM S3I-201 for 24 h (Figure 4A, lanes 1-2 and 5-6). Inactivation of Stat3 in H929 and EJM cells significantly downregulated cyclin D1 and/or survivin, but had no apparent effect on cyclin D2 expression (Figure 4A, lanes 1-2 and 5-6). Consistent with the finding, both H929 and EJM cells were highly sensitive to S3I-201, with marked growth inhibition and cell death within one day of treatment with 50 μM S31-201 (Figure 4 B and 4D). EJM cells, which have higher levels of NF-κB activity  and pStat3-Y705 than H929 cells (Figure 4A), were also more susceptible to S3I-201: approximately 90% of EJM cells lost viability in the presence of 50 μM S31-201 within 2 days (Figure 4C), whereas H929 cells showed only 40% of cell death under the same condition (Figure 4D). Thus, in MM cells with high levels of Stat3 activation (pStat3-Y705), the Stat3 signaling is crucial for the expression of cyclin D1 and survivin, and the proliferation and survival of cells.
Despite much effort, the development of mouse models for human MM remains a challenge . A major advance in this area of research has been provided recently by the generation of a transgenic mouse line with spontaneous MYC activation driven by Activation-Induced Deaminase (AID) . These transgenic mice developed bone marrow plasma cell tumors that recapitulate many features of human MM. However, rearrangements of the MYC gene are present in only 15% of MM patients , calling for the development of additional mouse models that target distinct signaling pathways important in MM pathogenesis. Chromosomal translocations and rearrangements at the NF-κB2 locus have been shown to occur in primary human MM . The human MM cell lines JK6L and CAG also carry genetic mutations in the NF-κB2 gene . These mutations lead to the generation of C-terminally truncated NF-κB2 proteins similar to the tumor-derived NF-κB2 mutant p80HT . Currently, no mouse models are available for human MM with aberrant activation of NF-κB2 signaling. We have recently reported that transgenic mice with targeted expression of p80HT in lymphocytes developed predominantly B-lineage lymphomas with the tumor incidence of 79% by 70 weeks . In this investigation, we conducted detailed histological and immunohistochemistry examination of 12 tumor samples from the previous study , which revealed that half of them (6/12) were plasma cell tumors. To corroborate this finding, we generated additional p80HT mice with a focus on their development of plasma cell tumors. Approximately 40% of the newly generated p80HT mice produced M-protein by 1 year of age. Most of these M-protein-positive p80HT mice developed plasma cell tumors with diffuse osteoporosis. Some of them also had osteolytic bone lesions and/or significant accumulation of plasma cells in the bone marrow. These findings provide the first direct evidence for a causal role of NF-κB2 mutation in the pathogenesis of plasma cell tumors that share some key histopathological and clinical features of human MM.
The transgenic mice express p80HT in both T and B cells, and our previous study suggests that p80HT promotes tumor development primarily by enhancing the survival of T and B cells . Also, the lymphoma development in p80HT mice is characterized by a prolonged latent period , suggesting that additional genetic and/or epigenetic alterations are required for the malignant transformation of p80HT lymphocytes and their clonal expansion. We speculate that this might be the major reason why p80HT mice develop a wide spectrum of B cell lymphomas including plasma cell tumors, as well as T cell lymphomas, which depend on the type and developmental stage of the lymphocytes that have acquired secondary genetic and/or epigenetic alterations.
We have previously identified TRAF1 as a target gene critical for the oncogenic activity of p80HT . TRAF1 deficiency reestablished B cell homeostasis and significantly delayed the tumor development in p80HT mice  (unpublished data). However, constitutive overexpression of TRAF1 in lymphocytes is not tumorigenic in mice  suggesting that additional target genes must be critical for the development of plasma cell tumors in p80HT mice. We performed gene expression profiling of B cells from M-protein-positive p80HT mice for the reason that genes activated in these plasma cell precursors are anticipated to drive the development of plasma cell tumors. It is important to note that the three M-protein-positive p80HT mice used for the microarray assay might not develop plasma cell tumors in the end. Nonetheless, the gene expression profiling revealed the activation of many genes, in addition to TRAF1, in p80HT B cells that are known to promote the proliferation and survival of MM cells, as well as the differentiation of B cells to plasma cells.
IL-15 is the second most upregulated gene in p80HT B cells. IL-15 is important to the proliferation of MM cells and their ability to evade apoptosis . An autocrine loop between IL-15 and its receptor has been identified as a mechanism for tumor cell expansion in MM . The upregulation of both IL-15 and its receptor IL-15Ra (+1.7 fold, P = 0.045) in the B cells of p80HT mice suggest that this pathway is important in the pathogenesis of plasma cell tumors in our mouse model.
Another top upregulated gene is IL-10. Using the transcription factor database search tool DECODE (SaBiosciences) and data from the University of California Santa Cruz Genome Browser, we identified potential two κB-binding sites in the IL-10 promoter (unpublished data), suggesting that p80HT may directly upregulate IL-10 expression. IL-10 exerts its biological functions primarily through Stat3 [30, 31]. It has long been recognized that IL-10 promotes the differentiation of B cells to plasma cells [22, 40–43]. This action of IL-10 is likely mediated, at least in part, by Blimp1, a known target gene of Stat3 . Consistent with the notion, Blimp1 expression was significantly upregulated (+1.7 fold, P = 0.007) in p80HT B cells. Blimp1 is a transcriptional repressor required for the formation and maintenance of mature plasma cells . Blimp1 is also required for the formation of plasmacytoma in a mouse model . Other Stat3 target genes include cyclin D1, cyclin D2, and survivin [32, 33], and they were all markedly upregulated in p80HT B cells.
Survivin is a member of the inhibitor of apoptosis protein family with dual roles in regulation of cell cycle progression and apoptosis . Survivin expression is increased during MM progression, and knockdown of survivin induces cell death in human MM cells . It has been shown previously that the human survivin gene promoter region contains κB-binding sites , and our sequence examination revealed 4 potential κB-binding sites within the mouse survivin promoter region (unpublished data). These observations suggest that p80HT may transcriptionally upregulate survivin expression either directly or indirectly through the IL-10-Stat3 signaling pathway.
Cyclins D1, D2 and D3 (encoded by CCND1, D2 and D3) interact with and activate cyclin-dependent kinase 4 (Cdk4) or Cdk6 to facilitate the G1/S cell-cycle transition . Upregulation of cyclin D expression occurs in the vast majority of MM tumors and has been considered a crucial and early oncogenic event in MM pathogenesis . Approximately 20% of MM tumors show elevated levels of cyclin D1 or D3 as the result of chromosomal translocations that juxtapose potent immunoglobulin (Ig) gene enhancers next to CCND1 (11q13) or CCND3 (6p21) , and ~7% of MM tumors have Ig translocations involving c-MAF (16q23) or MAFB (20q11), which encode transcription factors that target CCND2 [27, 48]. In the rest of MM tumors, the transcription factors responsible for upregulating the expression of cyclin D genes remain to be identified. Cyclin D1 is a known target gene of the NF-κB1 signaling pathway [49, 50]. However, to the best of our knowledge, a role for NF-κB2 in regulation of cyclin D expression has not been previously described. Thus, our findings that cyclin D1 and cyclin D2 were significantly upregulated in p80HT B cells suggest a novel mechanism for early activation of cyclin D genes in the development of MM.
On the basis of above discussion, we suggest a model for p80HT activation of the IL-10-Stat3 signaling pathway to promote plasma cell expansion and tumor development by regulating the generation, proliferation and survival of plasma cells (Figure 5). Please note that p80HT may also directly activate the transcription of cyclin D1, cyclin D2 and survivin genes. In addition, other p80HT-regulated genes, including IL-15, CD27, CD28, CD30, CD30L, CD80, and TRAF1 may contribute significantly to the tumorigenic process.
To determine the clinical relevance of our findings, we assessed the response of human MM cell lines to the inhibition of Stat3, a key downstream component of the IL-10 signaling pathway. Our investigation revealed a correlation between the activity of Stat3 and the sensitivity to Stat3 inhibition in MM cells. Also consistent with our model, Stat3 signaling was found to be essential for high-level expression of cyclin D1 and survivin in MM cells, providing a molecular mechanism for the critical role of Stat3 signaling in the proliferation and survival of MM cells. Thus, targeting the Stat3 signaling pathway may represent a therapeutic strategy for human MM.
Our findings provide the first direct evidence for a causal role of NF-κB2 mutation in the pathogenesis of mouse plasma cell tumors that share some key histopathological and clinical features of human MM. The NF-κB2 mutant p80HT promotes the development of plasma cell tumors by transcriptional activation of genes critical for the generation, proliferation and survival of plasma cells, including cyclin D1, cyclin D2, Blimp1, survivin, IL-10 and IL-15. We further present evidence that targeting the IL-10-Stat3 signaling pathway may represent a therapeutic strategy for human MM.
We are indebted to W.M. Kuehl of the National Cancer Institute for his insightful comments on the manuscript. We thank H.C. Morse of the National Institute of Allergy and Infectious Diseases, W. Gunning of the University of Toledo College of Medicine, and T. Nagy of the University of Georgia for histological examination of tumor samples. We also thank W.M. Kuehl and D. Sullivan of the Moffit Cancer Center for providing the MM cell lines EJM and H929, respectively. This work was supported by a grant from the National Cancer Institute (R01 CA106550) and Georgia Cancer Coalition Distinguished Scholar Award to HFD, and grants from and the National Basic Research Program of China (No. 2012cb114603) and the National Natural Science Foundation of China (No. 31172268) to HC. BAM is a Multiple Myeloma Research Foundation Research Fellow.
Cancer Center and Department of Pathology, Medical College of Georgia, Georgia Health Sciences University
Cancer Center Genomics Core, Georgia Health Sciences University
Department of Oral Biology, College of Dental Medicine, Georgia Health Sciences University
State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, College of Biotechnology, Southwest University
Beinke S, Ley SC: Functions of NF-κB1 and NF-κB2 in immune cell biology.Biochem J 2004,382(Pt 2):393–409.PubMed
Gilmore TD: Introduction to NF-κB: players, pathways, perspectives.Oncogene 2006,25(51):6680–6684.PubMedView Article
Basseres DS, Baldwin AS: Nuclear factor-κB and inhibitor of κB kinase pathways in oncogenic initiation and progression.Oncogene 2006,25(51):6817–6830.PubMedView Article
Karin M, Greten FR: NF-κB: linking inflammation and immunity to cancer development and progression.Nat Rev Immunol 2005,5(10):749–759.PubMedView Article
Courtois G, Gilmore TD: Mutations in the NF-κB signaling pathway: implications for human disease.Oncogene 2006,25(51):6831–6843.PubMedView Article
Annunziata CM, Davis RE, Demchenko Y, Bellamy W, Gabrea A, Zhan F, Lenz G, Hanamura I, Wright G, Xiao W, et al.: Frequent engagement of the classical and alternative NF-κB pathways by diverse genetic abnormalities in multiple myeloma.Cancer Cell 2007,12(2):115–130.PubMedView Article
Derudder E, Laferte A, Ferreira V, Mishal Z, Baud V, Tarantino N, Korner M: Identification and characterization of p100HB, a new mutant form of p100/NF-κB2.Biochem Biophys Res Commun 2003,308(4):744–749.PubMedView Article
Fracchiolla NS, Lombardi L, Salina M, Migliazza A, Baldini L, Berti E, Cro L, Polli E, Maiolo AT, Neri A: Structural alterations of the NF-κB transcription factor lyt-10 in lymphoid malignancies.Oncogene 1993,8(10):2839–2845.PubMed
Migliazza A, Lombardi L, Rocchi M, Trecca D, Chang C-C, Antonacci R, Stefano N, Ciana P, Maiolo AT, Neri A: Heterogeneous chromosomal aberrations generate 3' truncations of the NFKB2/lyt-10 gene in lymphoid malignancies.Blood 1994, 84:3850–3860.PubMed
Neri A, Chang C-C, Lombardi L, Salina M, Corradini P, Maiolo AT, Chaganti RSK, Dalla-Favera R: B cell lymphoma-associated chromosomal translocation involves candidate oncogene lyt-10, homologous to NF-κB p50.Cell 1991, 67:1075–1087.PubMedView Article
Thakur S, Lin HC, Tseng WT, Kumar S, Bravo R, Foss F, Gelinas C, Rabson AB: Rearrangement and altered expression of the NFKB-2 gene in human cutaneous T-lymphoma cells.Oncogene 1994, 9:2335–2344.PubMed
Zhang J, Chang CC, Lombardi L, Dalla-Favera R: Rearranged NFKB2 gene in the HUT78 T-lymphoma cell line codes for a constitutively nuclear factor lacking transcriptional repressor functions.Oncogene 1994, 9:1931–1937.PubMed
Zhang B, Wang Z, Li T, Tsitsikov EN, Ding HF: NF-κB2 mutation targets TRAF1 to induce lymphomagenesis.Blood 2007,110(2):743–751.PubMedView Article
Hideshima T, Neri P, Tassone P, Yasui H, Ishitsuka K, Raje N, Chauhan D, Podar K, Mitsiades C, Dang L, et al.: MLN120B, a novel IκB kinase beta inhibitor, blocks multiple myeloma cell growth in vitro and in vivo.Clin Cancer Res 2006,12(19):5887–5894.PubMedView Article
Jourdan M, Moreaux J, Vos JD, Hose D, Mahtouk K, Abouladze M, Robert N, Baudard M, Reme T, Romanelli A, et al.: Targeting NF-κB pathway with an IKK2 inhibitor induces inhibition of multiple myeloma cell growth.Br J Haematol 2007,138(2):160–168.PubMedView Article
Demchenko YN, Glebov OK, Zingone A, Keats JJ, Bergsagel PL, Kuehl WM: Classical and/or alternative NF-κB pathway activation in multiple myeloma.Blood 2010,115(17):3541–3552.PubMedView Article
Keats JJ, Fonseca R, Chesi M, Schop R, Baker A, Chng WJ, Van Wier S, Tiedemann R, Shi CX, Sebag M, et al.: Promiscuous mutations activate the noncanonical NF-κB pathway in multiple myeloma.Cancer Cell 2007,12(2):131–144.PubMedView Article
Pircher H, Mak TW, Lang R, Ballhausen W, Ruedi E, Hengartner H, Zinkernagel RM, Burki K: T cell tolerance to Mlsa encoded antigens in T cell receptor V beta 8.1 chain transgenic mice.EMBO J 1989,8(3):719–727.PubMed
Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA: DAVID: Database for Annotation, Visualization, and Integrated Discovery.Genome Biol 2003,4(5):P3.PubMedView Article
The International Myeloma Working G: Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group.Br J Haematol 2003,121(5):749–757.View Article
Otsuki T, Yata K, Sakaguchi H, Uno M, Fujii T, Wada H, Sugihara T, Ueki A: IL-10 in myeloma cells.Leuk Lymphoma 2002,43(5):969–974.PubMed
Agematsu K, Nagumo H, Oguchi Y, Nakazawa T, Fukushima K, Yasui K, Ito S, Kobata T, Morimoto C, Komiyama A: Generation of plasma cells from peripheral blood memory B cells: synergistic effect of interleukin-10 and CD27/CD70 interaction.Blood 1998,91(1):173–180.PubMed
Hjorth-Hansen H, Waage A, Borset M: Interleukin-15 blocks apoptosis and induces proliferation of the human myeloma cell line OH-2 and freshly isolated myeloma cells.Br J Haematol 1999,106(1):28–34.PubMedView Article
Bahlis NJ, King AM, Kolonias D, Carlson LM, Liu HY, Hussein MA, Terebelo HR, Byrne GE, Levine BL, Boise LH, et al.: CD28-mediated regulation of multiple myeloma cell proliferation and survival.Blood 2007,109(11):5002–5010.PubMedView Article
Robillard N, Jego G, Pellat-Deceunynck C, Pineau D, Puthier D, Mellerin MP, Barille S, Rapp MJ, Harousseau JL, Amiot M, et al.: CD28, a marker associated with tumoral expansion in multiple myeloma.Clin Cancer Res 1998,4(6):1521–1526.PubMed
Nutt SL, Fairfax KA, Kallies A: BLIMP1 guides the fate of effector B and T cells.Nat Rev Immunol 2007,7(12):923–927.PubMedView Article
Bergsagel PL, Kuehl WM, Zhan F, Sawyer J, Barlogie B, Shaughnessy J: Cyclin D dysregulation: an early and unifying pathogenic event in multiple myeloma.Blood 2005,106(1):296–303.PubMedView Article
Gattei V, Degan M, Gloghini A, De Iuliis A, Improta S, Rossi FM, Aldinucci D, Perin V, Serraino D, Babare R, et al.: CD30 Ligand Is Frequently Expressed in Human Hematopoietic Malignancies of Myeloid and Lymphoid Origin.Blood 1997,89(6):2048–2059.PubMed
Romagnoli M, Trichet V, David C, Clement M, Moreau P, Bataille R, Barille-Nion S: Significant impact of survivin on myeloma cell growth.Leukemia 2007,21(5):1070–1078.PubMed
Moore KW, de Waal Malefyt R, Coffman RL, O’Garra A: Interleukin-10 and the interleukin-10 receptor.Annu Rev Immunol 2001, 19:683–765.PubMedView Article
Pestka S, Krause CD, Sarkar D, Walter MR, Shi Y, Fisher PB: Interleukin-10 and related cytokines and receptors.Annu Rev Immunol 2004, 22:929–979.PubMedView Article
Alvarez JV, Frank DA: Genome-wide analysis of STAT target genes: Elucidating the mechanism of STAT-mediated oncogenesis.Cancer Biol Ther 2004,3(11):1045–1050.PubMedView Article
Diehl SA, Schmidlin H, Nagasawa M, van Haren SD, Kwakkenbos MJ, Yasuda E, Beaumont T, Scheeren FA, Spits H: STAT3-mediated up-regulation of BLIMP1 Is coordinated with BCL6 down-regulation to control human plasma cell differentiation.J Immunol 2008,180(7):4805–4815.PubMed
Siddiquee K, Zhang S, Guida WC, Blaskovich MA, Greedy B, Lawrence HR, Yip MLR, Jove R, McLaughlin MM, Lawrence NJ, et al.: Selective chemical probe inhibitor of Stat3, identified through structure-based virtual screening, induces antitumor activity.Proc Natl Acad Sci 2007,104(18):7391–7396.PubMedView Article
Kuehl WM: Modeling Multiple Myeloma by AID-Dependent Conditional Activation of MYC.Cancer Cell 2008,13(2):85–87.PubMedView Article
Chesi M, Robbiani DF, Sebag M, Chng WJ, Affer M, Tiedemann R, Valdez R, Palmer SE, Haas SS, Stewart AK, et al.: AID-dependent activation of a MYC transgene induces multiple myeloma in a conditional mouse model of post-germinal center malignancies.Cancer Cell 2008,13(2):167–180.PubMedView Article
Avet-Loiseau H, Gerson F, Magrangeas F: Minvielle Sp, Harousseau J-L, Bataille Rg: Rearrangements of the c-myc oncogene are present in 15 % of primary human multiple myeloma tumors.Blood 2001,98(10):3082–3086.PubMedView Article
Speiser DE, Lee SY, Wong B, Arron J, Santana A, Kong YY, Ohashi PS, Choi Y: A regulatory role for TRAF1 in antigen-induced apoptosis of T cells.J Exp Med 1997,185(10):1777–1783.PubMedView Article
Tinhofer I, Marschitz I, Henn T, Egle A, Greil R: Expression of functional interleukin-15 receptor and autocrine production of interleukin-15 as mechanisms of tumor propagation in multiple myeloma.Blood 2000,95(2):610–618.PubMed
Banchereau J, Briere F, Liu YJ, Rousset F: Molecular control of B lymphocyte growth and differentiation.Stem Cells 1994,12(3):278–288.PubMedView Article
Calame KL, Lin KI, Tunyaplin C: Regulatory mechanisms that determine the development and function of plasma cells.Annu Rev Immunol 2003, 21:205–230.PubMedView Article
Rousset F, Garcia E, Defrance T, Peronne C, Vezzio N, Hsu DH, Kastelein R, Moore KW, Banchereau J: Interleukin 10 is a potent growth and differentiation factor for activated human B lymphocytes.Proc Natl Acad Sci U S A 1992,89(5):1890–1893.PubMedView Article
Calame KL: Plasma cells: finding new light at the end of B cell development.Nat Immunol 2001,2(12):1103–1108.PubMedView Article
D’Costa K, Emslie D, Metcalf D, Smyth GK, Karnowski A, Kallies A, Nutt SL, Corcoran LM: Blimp1 is limiting for transformation in a mouse plasmacytoma model.Blood 2009,113(23):5911–5919.PubMedView Article
Altieri DC: Survivin, versatile modulation of cell division and apoptosis in cancer.Oncogene 2003,22(53):8581–8589.PubMedView Article
Kawakami H, Tomita M, Matsuda T, Ohta T, Tanaka Y, Fujii M, Hatano M, Tokuhisa T, Mori N: Transcriptional activation of survivin through the NF-kappaB pathway by human T-cell leukemia virus type I tax.Int J Cancer 2005,115(6):967–974.PubMedView Article
Massague J: G1 cell-cycle control and cancer.Nature 2004,432(7015):298–306.PubMedView Article
Hurt EM, Wiestner A, Rosenwald A, Shaffer AL, Campo E, Grogan T, Bergsagel PL, Kuehl WM, Staudt LM: Overexpression of c-maf is a frequent oncogenic event in multiple myeloma that promotes proliferation and pathological interactions with bone marrow stroma.Cancer Cell 2004,5(2):191–199.PubMedView Article
Guttridge DC, Albanese C, Reuther JY, Pestell RG, Baldwin AS: NF-κB controls cell growth and differentiation through transcriptional regulation of cyclin D1.Mol Cell Biol 1999,19(8):5785–5799.PubMed
Hinz M, Krappmann D, Eichten A, Heder A, Scheidereit C, Strauss M: NF-κB function in growth control: regulation of cyclin D1 expression and G0/G1-to-S-phase transition.Mol Cell Biol 1999,19(4):2690–2698.PubMed
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.