Key Points
Stromal cell–derived hyaluronan binds to CD44 variants on MM cells and generates cell clusters under shear stress in the bone marrow.
MM cell clusters serve as a seed of EMD and express PI resistance-inducible genes upon release of CD44-intracellular domain.
Abstract
Extramedullary disease (EMD) is known to be associated with chemoresistance and poor prognosis in multiple myeloma (MM); however, the mechanisms of its development are not fully understood. Elucidating the mechanism of EMD development and its therapeutic targeting would greatly contribute to further improvement of treatment outcome in patients with MM. Here, we show that bone marrow stroma cell–derived hyaluronan (HA) elicits homophilic interactions of MM cells by binding to surface CD44, especially long-stretch variants, under physiological shear stress and generates cell clusters that might develop into EMD. We recapitulated the development of EMD via administration of HA in a syngeneic murine MM model in a CD44-dependent manner. HA-induced MM cell clusters exhibited the specific resistance to proteasome inhibitors (PIs) in vitro and in murine models via γ-secretase–mediated cleavage of the intracellular domains of CD44, which in turn transactivated PI resistance-inducible genes. Treatment of HA-injected mice with anti-CD44 antibody or γ-secretase inhibitors readily suppressed the development of EMD from transplanted MM cells and significantly prolonged the survival of recipients by overcoming PI resistance. The HA-CD44 axis represents a novel pathway to trigger EMD development and could be a target of the prediction, prevention, and treatment of EMD in patients with MM.
Introduction
Multiple myeloma (MM) is the second most common hematologic malignancy, accounting for approximately 7% of newly diagnosed cancers globally.1 Its worldwide incidence has increased steadily over the past 30 years due to global changes in age distribution and a higher prevalence of MM in older people. The treatment outcome of patients with MM has been significantly improved by the introduction of novel therapeutic agents, including proteasome inhibitors (PIs) and immunomodulatory drugs.2 However, most patients eventually become resistant to treatment, and nearly half of the patients relapse and die of the disease within 5 years of diagnosis.3 Therefore, novel treatment strategies based on a better understanding of MM biology are required to overcome drug resistance and improve quality of life, especially in older patients.
MM is tumor derived from terminally differentiated B lymphocytes and usually resides in the bone marrow (BM), reflecting the nature of normal counterparts.4 However, a subset of patients with MM present with extramedullary disease (EMD) characterized by the emergence of MM cells at anatomic sites distant from the BM, such as the liver (11.8% to 28.8%), spleen (0.8% to 11.5%), lymph nodes (17.3% to 23.1%), soft tissue/skin (11.1% to 29.1%), pleura/lung (2.7% to 25.0%), and central nervous system (3.0% to 11.0%).5-7 EMD could be present at both diagnosis and relapse with incidences of 3% to 5% and 6% to 20%, respectively, depending on the definition.8,9 EMD is a hallmark of dismal prognosis independent of other high-risk factors, particularly when it appears at the time of relapse.10,11 The median survival of patients relapsed with EMD was reported to be only 5 months, even in the era of novel therapeutic approaches.12 The mechanisms of EMD development should be elucidated to further improve the life expectancy of patients with MM, but they remain poorly explored thus far.
MM cells express various adhesion molecules, such as CD29 (β1-integrin), CD44, CD49d (β4-integrin, a subunit of VLA-4), CD49e (β5-integrin, a subunit of VLA-5), CD54 (ICAM-1), CD56 (NCAM), CD138 (syndecan-1), CD184 (CXCR4), and CD319 (SLAMF7), which play redundant roles in interacting with the BM microenvironment, and can promote drug resistance, cell growth, and functional activation.13-17 It is reasonable to speculate that deregulation and/or dysfunction of adhesion molecules is involved in the migration of BM MM cells to extramedullary sites during EMD development. In fact, previous clinical studies revealed that MM cells isolated from EMD lesions displayed an increase in CD44 expression and reduced expression of VLA-5 and CD56.18 Furthermore, the instructive roles of CXCR4, VLA-4, and P-selectin glycoprotein ligand-1 in EMD development have been demonstrated in murine MM models.19,20 However, it is still unclear how these changes are mechanistically implicated in the development of EMD and whether they could be therapeutically targeted for clinical translation.
CD44 is a family of glycoproteins that share a standard form (CD44s) encoded by 10 exons as a common backbone. Several isoforms are generated via alternative splicing of 1 or more variable exons (v1-v10), resulting in the introduction of additional stretches in the extracellular stem region of CD44s.21 In solid cancers, the extracellular domain of CD44 can either bind to hyaluronan (HA) or homotypically interact with another CD44 molecule to promote tumor progression and metastasis via cell–cell and/or cell–extracellular matrix interactions.22-24 It was reported that CD44 and its variants were highly expressed in MM cells derived from patients with EMD25,26 and that CD44 variant 9 (CD44v9) expression was a worse prognostic factor for patients with MM.18,25 Moreover, serum HA concentrations were much higher in patients with MM than in healthy individuals and were significantly correlated with disease activity and treatment refractoriness in patients with MM.27 Despite these clinical correlations, the involvement of the HA-CD44 axis in the development of EMD has not yet been fully investigated. In the present study, we show that HA-induced homophilic cell–cell interactions through CD44 variants represent an initial step of EMD development. This finding might be translated to the clinic for the prediction, prevention, and treatment of EMD in patients with MM.
Methods
Cells and cell culture
The human myeloma cell lines MM.1S, KMS12-BM, KMS26, KMS28-BM, U266, KMM.1, and RPMI8226 were purchased from the Health Science Research Resources Bank (Osaka, Japan), where the cell line authenticity and absence of Mycoplasma infection are routinely checked by DNA fingerprinting and polymerase chain reaction (PCR) and maintained in RPMI1640 medium supplemented with 10% heat-inactivated fetal bovine serum (FBS). The human BM-derived stromal cell lines UBE6T-7 and stroma-NK, which were immortalized by transduction with a human telomerase catalytic protein subunit,28,29 were maintained in 10% FBS-containing Dulbecco's Modified Eagle Medium and used as BM stromal cells (BMSCs) after changing the culture medium to 10% FBS-RPMI1640. BMSC culture supernatants were prepared from confluent UBE6T-7 and stroma-NK cells cultured in fresh 10% FBS-RPMI1640 for 24 hours. For coculture experiments, BMSCs were cultured in a 25 cm2 flask until reaching >90% confluence, and then MM cells were seeded on the layer of BMSCs. To generate shear force, culture flasks were continuously rotated at 0 to 120 rpm on a horizontal orbital shaker in a humidified atmosphere of 5% CO2 at 37°C. Primary BM cells were isolated from patients with MM at the time of the diagnostic procedure and used with or without positive selection of MM cells using CD138 MicroBeads and MACS separation columns (Miltenyi Biotech, Bergisch Gladbach, Germany). We obtained written informed consent from all patients in accordance with the Declaration of Helsinki. The protocol was approved by the Institutional Review Boards of Jichi Medical University, Tokyo-Kita Medical Center, Akita University Graduate School of Medicine, Hiroshima-Nishi Medical Center, and Japanese Red Cross Society Suwa Hospital.
Construction and production of lentiviral expression vectors
We used the lentiviral vector CSII-CMV-MCS-IRES-VENUS (provided by Hiroyuki Miyoshi, RIKEN BioResource Center, Ibaraki, Japan) containing the coding regions of CD44s, CD44v6, CD44v9, and CD44v10 cDNA for gain-of-function experiments. We used a lentiCRISPRv2 vector which expresses gRNA and Cas9 nuclease for CRISPR/Cas9-mediated deletion of target genes (Addgene, Cambridge, MA). Each sequence of the CRISPR targets was designed using the CRISPRdirect tool (http://crispr.dbcls.jp/) and is shown in supplemental Table 1.
Global analysis of mRNA expression
Total cellular RNA was isolated from MM.1S and KMS12-BM cells cultured in the presence of UBET6T-7 culture supernatants with or without shear stress for 24 hours. RNA samples (50 ng) were T7-primed and reverse-transcribed, followed by T7 transcription in the presence of Cy3- (for RNA from cells cultured without shear stress) or Cy5-CTP (for RNA from cells exposed to shear stress). Labeled cRNAs were hybridized with the SurePrint G3 Human Gene Expression 8 × 60K version 3.0 Microarray (Agilent Technologies, Santa Clara, CA). The hybridized arrays were scanned on an Agilent G2505C Scanner, and the scanned images were processed using the Agilent Feature Extraction software (version 12.0.3.1).
Xenogeneic and syngeneic murine MM models
For ex vivo tracing of tumors, we established luciferase-expressing sublines of KMM.1 and MOPC315.BM, designated KMM.1-Luc and MOPC315.BM.Luc, respectively, by transfecting firefly luciferase cDNA into the parent lines.15,30 KMM.1-Luc cells were suspended in 100 μL of RPMI 1640 medium and subcutaneously inoculated in the right thigh of male nonobese diabetic/severe combined immunodeficiency (NOD/SCID) mice (Charles River Laboratories, Wilmington, MA).16 MOPC315.BM.Luc cells were suspended in 100 μL of RPMI 1640 medium and injected intravenously into male BALB/c mice (Charles River Laboratories). Drugs were administered intraperitoneally in a 200-μL volume of solution containing 5% dimethyl sulfoxide (vol/vol) in sterile phosphate-buffered saline. The control group received the vehicle alone on the same schedule. Tumor burden was monitored by measuring tumor-derived luciferase activity with a noninvasive bioimaging system. In short, tumor-bearing mice were intraperitoneally injected with 1.5 mg of the luciferase substrate D-luciferin after being anesthetized with isoflurane. Photons transmitted through the body were collected for a specified length of time and analyzed using the IVIS-CT Imaging System with Living Image software (Xenogen, Alameda, CA). Quantitative data were expressed as photon units (photons/s). All animal studies were approved by the Institutional Animal Ethics Committee and were performed in accordance with the Guide for the Care and Use of Laboratory Animals formulated by the National Academy of Sciences.
Other conventional techniques and reagents used in this study are described in supplemental Data.
Results
HA promotes cluster formation of CD44+ MM cells under shear stress
Recent studies suggest that the risk of EMD development is largely dependent on the intrinsic ability of MM cells, such as the presence of cytogenetic abnormalities and alterations in adhesion molecules, in the BM microenvironment.31 To understand the initial step of EMD development, we recreated the BM microenvironment by cultivating MM cells on a feeder layer of BMSCs under shear stress, an overlooked but important determinant of cell fate. Hematopoietic cells are constantly exposed to shear stress at 2.5 to 20 dyne/cm2 from blood flow in BM venules.32,33 We rotated culture flasks at 60 rpm on a horizontal rotator, which generates 10 dyne/cm2, to reproduce physiological shear stress in vitro. Among the 5 MM cell lines used in this study, KMS12-BM, MM.1S, and KMS28-BM cells dissociated from the BMSC lines UBE6T-7 and stroma-NK and interacted with each other to generate cell clusters up to 500 μm in size, whereas RPMI8226 and KMM.1 cells did not form clusters under the same conditions (Figure 1A; supplemental Figure 1A). Culture supernatants of BMSCs similarly induced the formation of MM cell clusters, suggesting that BMSC-derived soluble factors, including MM cell-stimulatory cytokines interleukin-6 and insulin-like growth factor-1 as well as HA,13 are responsible for this process (supplemental Figure 1B). Supernatant-induced cluster formation was observed under physiological ranges of shear force (supplemental Figure 1C).
Mixed culture experiments revealed that KMS12-BM and MM.1S cells were able to form mixed clusters, but RPMI8226 and KMM.1 cells failed to do so, suggesting that cluster formation depends on specific adhesion molecule(s) (Figure 1B). Among the major adhesion molecules, CD44 and CD319/SLAMF7 were correlated with the ability of cluster formation of MM cells (Figure 1C). A specific antibody against CD44, but not against CD49d, CD54, or SLAMF7, abrogated cell cluster formation (Figure 1D). A major ligand of CD44, HA,34 was produced by BMSCs but not MM cells at a considerable amount (500-1500 ng/mL); this probably occurred through HAS3, 1 of 3 HA-synthesizing enzymes (supplemental Figure 1D/E). An HA nonproducing BMSC, BJ,35 did not promote MM cluster formation (supplemental Figure 1A) and lacks HAS3 expression (supplemental Figure 1D/E). Indeed, immunofluorescent staining with HA-binding protein (HABP) clearly detected HA on the surface of cell clusters derived from CD44+ KMS12-BM and CD44v10-transduced KMM.1 cells but not on clusters from CD44− RPMI8226 or mock-transfected KMM.1 cells cultured with BMSC supernatants (Figure 1E; supplemental Figure 1F). HA alone promoted cell cluster formation in CD44v10-transduced but not mock-transfected KMM.1 cells at concentrations >10 ng/mL and increased the size of clusters in a dose-dependent manner (Figure 1F). Other BMSC-derived humoral factors, such as interleukin-6 and insulin-like growth factor-1, did not generate cell clusters in MM.1S or RPMI8226 cells (supplemental Figure 1G).
Next, we confirmed HA-mediated cluster formation in primary MM populations, including those derived from EMD lesions. HA-induced cluster formation was observed with primary cells from BM and EMD lesions of patients with MM with EMD but not from MM cells from patients without EMD (Figure 1G; supplemental Figure 2A). EMD-derived cell clusters had elevated expression of CD44, whose engagement with HA was visualized by HABP staining (Figure 1G), compared with that in primary cells from patients without EMD (supplemental Figure 2B). In addition, serum HA concentrations were significantly higher in patients with MM with EMD than in those without EMD in a cohort of patients admitted to Tokyo-Kita Medical Center and Akita University Hospital (Figure 1H). An increase in serum HA concentrations preceded the development or worsening of EMD in representative patients in the cohort (supplemental Figure 2C-D). These results suggest that HA bridges MM cells via surface CD44, followed by expansion of bridged MM cells under shear stress, leading to cluster formation. Recent literature points to the association of circulating tumor clusters with metastasis of breast cancer36 or dissemination of MM cells to extramedullary tissues.37 Hence, it is highly likely that cluster formation represents an origin of EMD and provides mechanistic insight into EMD development in MM.
The administration of HA facilitates EMD development in a syngeneic murine MM model
Having demonstrated the role of HA in MM cluster formation, we attempted to recapitulate EMD in vivo using a murine model in which MOPC315.BM.Luc (MOPC) murine MM cells were injected intravenously into syngeneic BALB/c mice. In this model, MOPC cells engraft in the BM of long bones (skull, vertebra, sternum, femur, and tibia) and the spleen, another major hematopoietic organ in the mouse.15,30 As observed in human MM cell lines, HA triggered the formation of MOPC cell clusters at >50 ng/mL in vitro and increased the cluster size in a dose-dependent manner (Figure 2A). Serum HA concentrations were <50 ng/mL in BALB/c mice even 8 weeks after engraftment of MOPC cells, which are not capable of producing HA (supplemental Figure 3A-B). The concentrations increased to >200 ng/mL after administration of 50 μg/kg of HA (supplemental Figure 3A-B); therefore, we decided to inject this dose of HA twice a week to supply a sufficient amount of HA to trigger cell cluster formation in vivo. When MOPC-derived luciferase activity was detected (usually 4 weeks after transplantation), we started intravenous injection of vehicle (phosphate-buffered saline) or HA and continued the procedure until humane endpoints such as an inability to consume food and water or marked weight loss. Whole-body imaging detected numerous luciferase-expressing masses at various sites outside the BM and spleen in HA-treated mice (Figure 2D-E; supplemental Figure 3D-E). At autopsy, tumor masses were found in the liver, soft tissues, and skin in 9 of 10 HA-treated mice but none in vehicle-treated mice (Figure 2C-F and supplemental Figure 3F for data quantification). These masses were diagnosed as plasmacytomas by outside specialists of animal pathology (supplemental Figure 3E). Tumor cells were strongly aggregated and showed positive staining for HABP in the BM of HA-injected mice (Figure 2G). We detected aggregated MOPC cells as circulating tumor cells in the peripheral blood of recipient mice (supplemental Figure 3G). HA administration significantly shortened the survival of MOPC-transplanted mice but did not affect the survival of nontransplanted BALB/c mice (Figure 2B). The development of EMD appeared to be the major cause of shortened survival because HA did not confer a growth advantage to MOPC cells (supplemental Figure 3C).
To confirm that HA-induced EMD development is mediated via interaction of HA with CD44 on MM cells, we performed the same experiments using CD44-deleted MOPC sublines (Figure 3A; supplemental Figure 4A). As shown in Figure 3B-C, HA failed to generate EMD from CD44-null MM cells in vivo and did not shorten the survival of transplanted mice. Furthermore, we attempted to inhibit EMD generation in this model using an anti-CD44 antibody. The specific anti-CD44 antibody Hermes-1 significantly inhibited cell cluster formation at the concentrations >2.5 μg/mL (Figure 3D) without affecting cell growth in vitro (Figure 3E). To achieve this concentration, we treated HA-administered mice with 10 mg/kg of Hermes-1 or isotype-matched immunoglobulin (IgG2a) twice a week.38 As anticipated, the anti-CD44 antibody significantly reduced the number of EMD lesions per mouse from 1.38 ± 0.74 to 0.50 ± 0.76 (P = .02191) (Figure 3F-G; supplemental Figure 4B).
CD44 variants v6 and v9 are involved in EMD development of MM
CD44 is a major HA receptor, and its alternatively spliced variants are involved in metastasis and other aggressive behaviors of cancer cells.21-24 Previous studies indicated that CD44 variants, especially CD44v9, were highly expressed in EMD lesions, upregulated during disease progression, and negatively correlated with the prognosis of patients with MM.18,25 However, no mechanistic insights have been described in these studies; therefore, we investigated the roles of CD44 variants in EMD development in our system. Among the 6 MM cell lines tested, MM.1S, KMS12-BM, and MOPC cells expressed CD44 variant v6 and/or v9 (Figure 4A) and formed large cell clusters in response to HA in vitro (Figure 4B). To confirm the correlation of CD44 variants and cluster formation, we transduced KMM.1 cells, which lack CD44 expression, with CD44v6 and CD44v9 expression vectors (supplemental Figure 4C). Although total CD44 expression was comparable among the sublines, the introduction of CD44v6 or CD44v9 generated significantly larger cell clusters than did mock- and CD44s-transduced KMM.1 cells (Figure 4C). In addition, CD44v6 and CD44v9 were exclusively detected in MM cells in the BM of EMD-positive patients (Figure 4D). Notably, CD44 variants were not detected at diagnosis but appeared just before the development of EMD in a patient who developed EMD during treatment (Figure 4D; supplemental Figure 2C). CD44 variants have additional stretches in the extracellular domain of CD44s, which might enhance cell–cell interactions to form larger cell clusters. This notion is consistent with previous reports that CD44v6 and CD44v9 are preferentially involved in cell–cell interactions rather than in cell–matrix interactions.39
Cell clusters acquire resistance to proteasome inhibitors via activation of CD44 signaling
EMD has been associated with chemoresistance and poor prognosis in patients with MM10-12; however, the underlying mechanisms of the development of drug resistance are not fully elucidated. To address this issue, we first examined the cytotoxic effect of various anti-MM drugs on cell clusters generated in cultures of MM cells with BMSC supernatants under shear stress. Shear stress-induced cluster formation conferred resistance to PIs, bortezomib and carfilzomib, to KMS12-BM (Figure 5A), and to MM.1S cells (supplemental Figure 5A). On the other hand, cell clusters retained their sensitivity to other therapeutic agents, such as doxorubicin, 4-hydroxycyclophosphamide, and immunomodulatory drugs (lenalidomide and pomalidomide), without affecting cluster formation (supplemental Figure 5B). PI resistance was fully reproduced in KMS12-BM and MM.1S cells cultured with HA, instead of with UBE6T-7 supernatants, under shear stress (supplemental Figure 5C). Cluster formation was essential for PI resistance because non–cluster-forming RPMI8226 cells succumbed to PIs under the same conditions (Figure 5B), and MM.1S cells were sensitive to PIs under shear stress in the absence of HA (supplemental Figure 5D).
Next, we investigated the role of CD44 variants in PI resistance of MM cell clusters. Exogenous expression of either CD44v6 or CD44v9, but not CD44s, resulted in the acquisition of PI resistance in CD44− KMM.1 cells in vitro (Figure 5C; supplemental Figure 4C). In a murine xenograft model, CD44v9-transduced KMM.1 cells (KMM.1-CD44v9) were obviously resistant to bortezomib treatment, while the growth of mock-transfected KMM.1 cells was significantly suppressed by bortezomib (Figure 5D). Gene expression profiling revealed the enrichment of PI resistance-associated genes, which were identified by unbiased screening in patients with MM,40 in KMS12-BM- and MM.1S-derived cell clusters compared with parental nonclustered cells (Figure 5E). These results suggest that CD44-mediated transcriptional changes promote PI resistance in MM cell clusters.
It has been reported that CD44 is cleaved by γ-secretase and that the liberated intracellular domain of CD44 (CD44-ICD) translocates into the nucleus, where it acts as a transcriptional activator to mediate drug resistance in solid tumors.41 Similarly, Notch-mediated signals promote PI resistance via γ-secretase–induced cleavage of the Notch-ICD in MM cells,42 in which Notch2 is ubiquitously and highly expressed among Notch family members.43 Furthermore, Lin et al44 reported the role of interleukin-6–mediated crosstalk between CD44 and Notch in stroma-instructive tumorigenesis. We therefore monitored the levels of CD44-ICD and Notch2-ICD during HA-induced cluster formation of MM.1S and KMM.1-CD44v9 cells. Immunoblot analyses of nuclear extracts revealed that the expression levels of CD44-ICD and Notch2-ICD appreciably increased in cell clusters of MM.1S and KMM.1-CD44v9 but not those derived from KMM.1-mock cells in a time-dependent manner (Figure 6A). Nuclear localization of CD44-ICD and Notch2-ICD was demonstrated by immunofluorescent staining in cell clusters derived from KMS12-BM, MM.1S, and KMM.1-CD44v9 cells (Figure 6B). We obtained virtually identical results in the histopathological analyses of KMM.1-CD44v9 cells inoculated in immunodeficient mice (Figure 6C) and the EMD lesions in MOPC cell-transplanted BALB/c mice (Figure 6D). In addition, the expression of HES1 and NF-kB1, which are downstream targets of CD44-ICD and Notch-ICD45,46 (Figure 6E), was significantly upregulated in MM cell clusters (Figure 6F). Finally, ectopic expression of CD44-ICD significantly decreased the sensitivity of CD44− KMM.1 cells to PIs (Figure 6G; supplemental Figure 5E). These results are compatible with the negative prognostic impact of CD44 expression on patients with MM treated with bortezomib-based regimens (Figure 6E, lowermost panel).
Targeting CD44 signaling overcomes cell cluster-mediated PI resistance in MM cells
The above notion prompted us to hypothesize that γ-secretase inhibitors (GSIs) overcome PI resistance in EMD by interfering with the liberation of CD44-ICD and/or Notch2-ICD. To corroborate this hypothesis, we first confirmed a dose-dependent decline in CD44-ICD and Notch2-ICD expression levels in response to the γ-secretase inhibitor GSI-XII (Z-IL-CHO) in HA-induced cell clusters of MM.1S (Figure 7A). Before γ-secretase–mediated generation of ICD, extracellular domains should be removed by the aid of matrix metalloproteinases (MMP), such as MMP9 and MMP13, for CD44 and tumor necrosis factor-α–converting enzyme for Notch2.41 Consistent with this notion, an MMP9/13 inhibitor cancelled the generation of CD44-ICD but not Notch2-ICD in MM cell clusters (Figure 7A). In parallel with the suppression of CD44-ICD, both inhibitors significantly increased the sensitivity of cell clusters to bortezomib and exerted an additive cytotoxic effect with bortezomib on MM cell clusters (Figure 7B). Next, we attempted to validate the effect of GSI on overcoming CD44 variant-mediated bortezomib resistance in a murine xenograft model. To this end, we inoculated KMM.1-CD44v9 cells subcutaneously into immunodeficient mice and treated the mice with vehicle alone, bortezomib alone, GSI-XII alone, or the combination of bortezomib and GSI-XII (GSI-XII first and then bortezomib) twice a week for 3 weeks. As anticipated, administration of bortezomib alone did not significantly inhibit the growth of PI-resistant KMM.1-CD44v9 cells at the dose and schedule used in this experiment (Figure 7C). GSI alone also failed to retard the growth of KMM.1-CD44v9 xenografts but almost completely cancelled the resistance to bortezomib in vivo (Figure 7C). As shown in Figure 7D, 20 nM of bortezomib suppressed the growth of HA-treated MOPC cells by ∼40% of untreated controls under shear stress, whereas approximately 80% of bortezomib-treated MOPC cells underwent apoptosis in the absence of HA (PBS group). The resistance of HA-induced MOPC cell clusters to bortezomib was nearly abrogated by 10 μg/mL of anti-CD44 antibody in vitro (Figure 7D). Furthermore, the anti-CD44 antibody enhanced the therapeutic effects of bortezomib and significantly prolonged the survival of HA-treated/MOPC-transplanted BALB/c mice (Figure 7E). These results imply that targeting CD44 signaling with GSIs or an anti-CD44 antibody could overcome PI resistance of EMD in patients with MM.
Discussion
In the present study, we show that homophilic cell–cell interactions of MM cells are induced by HA under shear stress via the surface HA-CD44 complex as a linker, which might represent an origin of EMD (Figure 7F). This conclusion is supported by clinical observations that (1) serum HA concentrations were significantly higher in patients with MM with EMD than in patients without EMD and (2) CD44 variants were highly expressed in MM cells derived from EMD lesions.25 Cell cluster formation confers PI resistance via γ-secretase–mediated activation of CD44-ICD, which provides potential therapeutic targets for patients with MM with EMD. As a proof of concept, we demonstrated that PI resistance was reversed by GSI or anti-CD44 antibody in vitro and in vivo. Future clinical application of CD44-targeting agents may increase the therapeutic index of standard-of-care regimens and improve the currently dismal prognosis of patients with MM with EMD.
The binding of HA to surface CD44 triggers the homophilic interaction of MM cells, which is enhanced by physiological shear stress in the BM microenvironment to serve as a seed of EMD. We identified BMSCs but not MM cells as the source of HA because HA synthetases were expressed only in BMSCs. This is compatible with a previous report that HA was mainly synthesized by HAS3 in BMSCs in healthy individuals.47 However, it has been demonstrated that HAS1 expression was specifically detected in BMSCs of patients with MM and was upregulated by proinflammatory cytokines in inflammatory states.48 In addition, the inflammatory marker C-reactive protein was significantly elevated in patients with MM with EMD compared with patients without EMD.6 Inflammation may play a causative role in higher serum concentrations of HA in patients with MM with EMD.
Murine models are useful for analyzing the mechanisms of EMD emergence and testing novel treatment strategies for EMD.20,31 Using a transplantable CD44-expressing MM cell line, we show that the administration of HA could induce EMD lesions in the liver and skin/soft tissues in a murine syngeneic model that faithfully reproduces human EMD. On the other hand, Roccaro et al20 induced EMD in the liver, kidney, and pelvic region by adopting a serial in vivo selection in mice transplanted with liver-prone MM.1S cells. They suggested that EMD development is regulated by increases in epithelial mesenchymal transition–like transcriptional activity, which leads to higher CXCR4 expression. Alterations in distinct molecules may cause different patterns of EMD in murine models and probably in patients with MM.
Relatively little is known about the signaling pathways of EMD-causative surface molecules, such as CD44 and CXCR4, and the downstream effector genes responsible for EMD development. Long noncoding RNAs (lncRNAs) are involved in crucial biological functions such as gene expression, chromatin reorganization, and cell differentiation. According to a recent report, lncRNAs account for 82% of the transcriptome in MM cells and are more heterogeneously expressed than protein-coding genes.49 Among the known MM-related lncRNAs, metastasis associated lung adenocarcinoma 1 (MALAT1) plays critical roles in the enhancement of cell growth, metastasis, and disease progression via transactivation of CD44 and other metastasis-related genes in lung cancer.50,MALAT1 was also identified as a poor prognostic factor and an inducer of disease progression via inhibition of apoptosis as well as enhancement of cell growth and glycolysis in MM cells.51-53 In particular, Handa et al52 reported that MALAT1 expression was markedly higher in EMD-derived MM cells than in corresponding intramedullary cells. Consistent with this observation, MALAT1 expression was readily upregulated during HA-induced cell cluster formation of MM.1S cells under shear stress (supplemental Figure 5F). Given the high expression of CD44 in EMD lesions18 and circulating MM cells,37 it can be speculated that MALAT1 is involved in CD44 upregulation in EMD.
Several clinical studies indicate that the presence of high-risk cytogenetics as well as low hemoglobin levels and/or platelet counts at diagnosis are associated with an increased risk of EMD relapse6-13; however, risk factors for EMD development have not yet been defined. The present study suggests that high serum concentrations of HA and increased expression of CD44 variants can predict the development of EMD; however, the sample size of our clinical study is too small to draw a firm conclusion. We therefore propose to initiate a prospective study with a larger cohort to better define the predictive power of the 2 parameters.
Acknowledgments
The authors are grateful to Akiko Yonekura, Mayuka Shiino (Jichi Medical University), and Tomoko Hishima (International Myeloma Center for Advanced Research and Treatment) for their technical assistance. The authors are indebted to Akihiro Umezawa (National Research Institute for Child Health and Development, Tokyo, Japan) and Hirofumi Hamada (Sapporo Medical University, Sapporo, Japan) for providing UBE6T-7 and stroma-NK cell lines, respectively.
This work was supported by a Grant-in-Aid for Scientific Research from Japan Society for Promotion of Science (J.K. and Y.F.) and the Bristol-Myers Squibb Research Grant (Y.F.); the Japan Leukemia Research Fund, Yasuda Memorial Cancer Foundation, Takeda Science Foundation, and Novartis Foundation Japan (J.K. and Y.F.); the Mitsui Life Social Welfare Foundation, SENSHIN Medical Research Foundation, and Princess Takamatsu Cancer Research Fund (J.K.); the Kano Foundation Research Grant and the International Myeloma Foundation Japan's Grant (J.K.).
Authorship
Contribution: J.K. performed the experiments, analyzed the data, and drafted the manuscript; N.O. and Y.K. performed the experiments; N.K., M.T., S.I., T.K., Y.K., M.U., N.T., and A.M. provided clinical data and samples; B.B. and H.Y. provided the cell lines; Y.F. designed and supervised the research and finalized the manuscript; and all authors approved the manuscript before submission.
Conflict-of-interest disclosure: The authors declare no competing financial interests.
Correspondence: Yusuke Furukawa, Division of Stem Cell Regulation, Center for Molecular Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan; e-mail: furuyu@jichi.ac.jp.
References
Author notes
Data have been deposited in the MIAME-compliant Gene Expression Omnibus database under accession number GSE189364. For other data sharing, contact the corresponding author, Yusuke Furukawa (furuyu@jichi.ac.jp).
The full-text version of this article contains a data supplement.