Diffuse large B cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma (NHL) in adults1. One-third to half of people with DLBCL is not cured despite substantial therapy advance2. The variability of outcome is associated with prognostic scoring system such as the International Prognostic Index (IPI), which focus on biological features of the host and of the neoplastic cells1. However, considerable recent data suggest lymphoma microenvironment contributes to prognosis by affecting lymphoma cell survival and angiogenesis3–5. For example, gene chip from DLBCL tissues revealed a stromal signature that associated with favorable prognosis5. This signature is predominantly composed of genes encoding extracellular matrix (ECM) components and modifiers such as laminin, fibronectin, and collagen5. Those with a stromal 2 pattern encoding angiogenesis-related genes are unfavorable5.
Matrix metalloproteinase-9 (MMP-9) regulates tumor microenvironment by degrading ECM and collagen type-IV, disrupting the physical barrier to facilitate cancer cell invasion6. MMP9 is over-expressed in high-grade NHL, associated with an unfavorable prognosis in DLBCL6,7. SB3CT, a potent gelatinase inhibitor against MMP-9/MMP-2, inhibits angiogenesis, prevents formation of lymphatic vessels, and reduces the spread of lymphoma cells in a mouse T cell lymphoma model8. However, little is known of how MMP-9 regulates the lymphoma microenvironment.
In a prior study through a proteomic approach, we showed that protease nexin-1 (PN-1) is susceptible to MMP-9-mediated degradation in the prostate cancer microenvironment9. PN-1, a 43 kDa serine protease inhibitor, prevents several key micro-environmental proteases including urokinase plasminogen activator (uPA, encoded by PLAU), tissue plasminogen activator (tPA), thrombin, and plasmin10,11. High levels of MMP-9 and uPA are associated with disease progression and an unfavorable prognosis in several human solid cancers11. Although deregulation of PN-1 occurs in several solid cancers, the role if any, of PN-1 in hematological cancers is unknown. The coincidence of MMP9 and PLAU gene found in the DLBCL stromal 1 signature5 suggests a possible link between expression of these genes and the lymphoma microenvironment.
First, low levels of PN-1 were found in lymphoid tissues (lymph nodes and spleen) infiltrated with DLBCL cells compared with controls (Fig. 1a). High transcript levels of MMP9 were found in the DLBLC-infiltrated tissues, consistent with prior reports and gene chip data5. In contrast, PN1 transcript levels in DLBCL-infiltrated tissues were significantly lower compared with reactive lymph nodes (Fig. 1b). Interestingly, in contrast to the low transcript levels of PN1 in the DLBCL-infiltrated bone marrow, bone marrow from subjects with DLBCL without bone marrow involvement had high levels of PN1 transcripts (Fig. 1c). Thus, PN-1 levels appear reduced in B cell lymphoma.
To determine how PN-1 affects the biology of lymphoma cells, we examined endogenous PN1 transcript levels in a number of human B cell lymphoma cell lines (Figure S1A). In contrast to low PN1 expression, MMP9 transcript levels were highest in Raji cells (derived from Burkitt lymphoma) (Figure S1B). In contrast, Wsunhl and Jeko cells (derived from follicular lymphoma and mantle cell lymphoma respectively) with lower MMP9 transcript levels than Raji cells had high levels of PN1 transcripts (Figure S1B), in keeping with a known regulation of PN-1 being a substrate target of MMP-99,12,13. Adding exogenous PN-1 prevented proliferation of Raji cells and A20 cells (a mouse B cell lymphoma cell line) while knockdown of PN1 expression by siRNA increased proliferation of these cells (Figs. 1di–ii and S2A). Adding exogenous PN1 to Raji and A20 cells increased apoptosis determined by flow cytometry and by the caspase-3 assay (Figs. 1e and S2B). In contrast, apoptosis decreased in cells where PN1 expression was reduced by siRNA (Fig. 1f).
Next, we developed a syngeneic B cell lymphoma mouse model by subcutaneous injection of A20 cells into Balb/c mice. Adding recombinant PN-1 protein (10 μM) to the Matrigel plug significantly delayed lymphoma growth (Fig. 1gi). Tumor volumes of mice treated with exogenous PN-1 protein after 12 days were 500 mm3 compared with 989 mm3 in controls (p < 0.001). Apoptosis rates in the tumor grafts were examined in situ using a TUNEL assay and/or immune blotting or immune-histochemistry for caspase-3 cleavage (Fig. 1gi). Adding PN-1-induced apoptosis while inhibiting proliferation as evidenced by markedly increased caspase-3 staining and decreased Ki67 staining (Fig. 1h).
The SHH-signaling pathway is activated in DLBCL and contributes to lymphoma cell survival and proliferation14. Over-expression of PN1 resulted in a reduced transcription and protein expression of molecules in the SHH-signaling pathway including SHH, GLI1, and PTCH1 in human Raji and mouse A20 cells (Figs. 2a and S2C). Conversely, PN1 downregulation by siRNA was associated with increased expression of SHH and GLI1 (Fig. 2b), indicating PN1 expression inhibits SHH signaling in lymphoma cells. Here, we compared inhibitory effects of PN-1 on lymphoma cells with those of the SHH signaling inhibitor cyclopamine, which irreversibly binds SMO and inactivates SHH signaling. Raji cells treated with exogenous PN1 or 10 μM cyclopamine can both prevent SHH-signaling transcription (Fig. 2c). There was more inhibition of SHH signaling when cells were treated with PN1 plasmid transfection and cyclopamine compared with cyclopamine alone (Fig. 2d). Increasing concentrations of cyclopamine produced a dose-dependent decrease of mRNA levels of GLI1 and SHH (Figure S3A). Adding PN-1 recombinant protein had a similar effect as cyclopamine in reducing GLI1 and SHH expression in A20 cells (Figure S3B–C). At 48 and 72 h, cyclopamine was a stronger inhibitor of proliferation, whereas effects on apoptosis were similar (Fig. 2e). We also determined SHH and GLI1 transcript levels in A20 cells treated with recombinant PN-1. Levels of SHH and GLI1 transcripts were reduced by 96.8 and 86.8% after treatment with 100 ng/ml recombinant PN-1 (Fig. 2f). Apoptosis of A20 cells induced by recombinant PN-1 was similar to that induced by cyclopamine (Figure S3D).
SHH protein strongly expresses in DLBCL cells but not in less aggressive lymphomas, CLL and normal germinal center B cells14. We next studied the activation state of SHH signaling in vivo in a syngeneic B cell lymphoma model described in Fig. 1g. Twelve days of PN-1 treatment markedly reduced mRNA levels of GLI1 and SHH (Fig. 2gi). Angiogenesis is associated with aggressive subtypes of B cell lymphomas15. To determine the impact of PN-1 on angiogenesis, we used CD31 staining in mice grafted with A20 lymphoma cells. Lymphomas grown with exogenous PN-1 recombination protein had lower vascular density (Figs. 2h and S4). Residual blood vessels had larger diameters than controls. There was also less in situ protein levels of SHH-signaling molecules in tissues treated with PN-1 shown by immune blotting of whole tissue lysates and by immune-histochemistry (Fig. 2gii–h). Thus, PN-1 appears having an anti-angiogenic role in B cell lymphoma.
Interestingly, MMP9 expression and SHH signaling are both known of regulating the growth and survival of diverse NHL cells5,7,15. Our data suggest that PN1 might be a key player who connects these two important molecules. We subcutaneously injected Raji cells into NOD/SCID mice. Adding 7.5 μM SB3CT to the Matrigel plug inhibited growth of the Raji cells compared with control Matrigel plugs (Fig. 2i–i). At 24 d the tumor volume of treated mice were 260mm3 versus 550 mm3 in controls (p < 0.05; Fig. 2i–i). SB3CT treatment resulted in increased levels of PN-1 and reduced levels of SHH and GLI (Fig. 2i–ii). These data suggest that PN-1 inhibition of SHH signaling is governed by MMP-9, presumably attributed to increased stability of PN-1 upon chemical inhibition of MMP-9 activity by SB3CT.
Finally, because of the heterogeneity of DLBCL, we determined the levels of SHH and PN-1 in normal lymph nodes, reactive lymph nodes and lymph nodes infiltrated with DLBCL cells. SHH protein localizes predominantly to the cytoplasm of the lymphoma cells but sparse in the microenvironment (Fig. 2j). PN-1 expression was evident in the stroma and vessels of normal and reactive lymph nodes but less so in lymph nodes infiltrated by DLBCL cells (Fig. 2j). There was an inverse correlation between PN-1 and SHH levels in tissues infiltrated by DLBCL cells (r = −0.42; p = 0.0034). These data suggest lymph nodes infiltrated by DLBCL cells had variable expression of both proteins, whereas normal lymph nodes were less variable. This finding is not surprising in view of the considerable heterogeneity of DLBCL. Gene chip analyses from 414 newly diagnosed cases of DLBCL revealed MMP9 and PLAU in the stromal signature, suggesting genes encoding ECM proteases such as MMP9 might play critical roles on progression of B cell lymphoma5. However, considerable data suggest a striking heterogeneity in gene expression profiles and clinical outcomes of DLBCL, posing a challenge for clinical management. Consequently, molecular regulation of MMP-9, PN-1, and SHH may be different across DLBCL subtypes. SHH is produced by dendritic cells in the germinal center (GC) protecting germinal center B cell from apoptosis15. DLBCL cells secrete and respond to endogenous SHH ligands, implicating an autocrine SHH-signaling loop14. Our data from immune histo-chemical staining supports this concept.
Taken together, we present data supporting a new pathway by which PN1 expression regulates lymphoma cell survival by inhibiting SHH signaling, an important survival signaling in the growth of B cell lymphomas. PN-1 regulates SHH signaling by reducing SHH transcripts and downstream effectors and by inhibiting angiogenesis. Such a regulation is also reflected by the inverse correlation between PN-1 and SHH proteins demonstrated in human DLBCL tissue microarray samples. The crosstalk between MMP-9, PN-1, and SHH signaling supports an inhibitory role of PN-1 in B cell lymphoma progression. MMP-9 and PN-1 may serve as potential molecular targets for combination therapies in DLBCL, in particular for those lymphomas with high expression of MMP9.
Electronic supplementary material
Acknowledgements
DX and YD are funded by Natural Science Foundation of China (81372326; 81273252). JFA and RPG acknowledge support from the National Institute of Health Research (NIHR) Biomedical Research Centre funding scheme.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Electronic supplementary material
Supplementary Information accompanies this paper at 10.1038/s41408-018-0063-x.
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