Diffuse large B cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma (NHL)
in adults
1
. One-third to half of people with DLBCL is not cured despite substantial therapy
advance
2
. 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 cells
1
. However, considerable recent data suggest lymphoma microenvironment contributes
to prognosis by affecting lymphoma cell survival and angiogenesis
3–5
. For example, gene chip from DLBCL tissues revealed a stromal signature that associated
with favorable prognosis
5
. This signature is predominantly composed of genes encoding extracellular matrix
(ECM) components and modifiers such as laminin, fibronectin, and collagen
5
. Those with a stromal 2 pattern encoding angiogenesis-related genes are unfavorable
5
.
Matrix metalloproteinase-9 (MMP-9) regulates tumor microenvironment by degrading ECM
and collagen type-IV, disrupting the physical barrier to facilitate cancer cell invasion
6
. MMP9 is over-expressed in high-grade NHL, associated with an unfavorable prognosis
in DLBCL
6,7
. 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 model
8
. 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 microenvironment
9
. 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 plasmin
10,11
. High levels of MMP-9 and uPA are associated with disease progression and an unfavorable
prognosis in several human solid cancers
11
. 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 signature
5
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 data
5
. 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.
Fig. 1
The expression pattern of PN-1 in DLBCL and its functional impact on lymphoma cell
proliferation and apoptosis.
a Immune histo-chemical staining (brown) of PN-1 in spleen and lymph nodes from normals
or infiltrated with DLBCL cells. Blue stain represents haemotoxylin nuclear staining.
b Quantitative real-time PCR for the expression of MMP9 and PN1 in lymph nodes hyperplasia
(LN) and DLBCL. N = 6, ***P < 0.001. Student's t test was performed for statistical
significance. c DAB staining of PN-1 (brown, panel i) and relative expression score
(ii) in controls with a normal bone marrow (N = 9), persons with lymphoma with an
involved (N = 7) or uninvolved bone marrow (N = 6). One-way ANOVA performed for statistical
significance. d Proliferation of Raji cells (2 × 106) was analyzed by using CCK-8
assays at 24, 48, 72, and 96 h after transfection with 2 μg of pcDNA3-PN1 or control
plasmid (i) or followed by treatment of 40 pmol siRNA PN1 (siPN1) or control scrambled
siRNA (siNEG) (N = 3; t test *P < 0.05; **P < 0.01; ***P < 0.001); e Apoptosis analysis
was determined by Annexin-PI assay (i) and immune-blotting of cleavage of caspase-3
(15-kDa active band) (ii) in Raji cells transfected with 2 μg of pcDNA3-PN1 or control
plasmid (N = 4; t test **P < 0.01); f Raji cells transfected with siRNA PN1 (siPN1)
or control siRNA (siNEG) were assayed for apoptosis (N = 3; t test *P < 0.05); g Subcutaneous
tumor volumes from Balb/c mice implanted with A20 cells (1 × 106) mixed with Matrigel
with or without PN-1 recombinant protein (10 μM). Subcutaneous tumor growth curve
(i) (N = 5; t test, **P < 0.01; ***P < 0.001) and tumor volumes (ii); immune-blotting
detecting caspase-3 cleavage (iii); h A20 xenografts with or without pre-treatment
with PN-1 (10 μM) recombinant protein, DAB-stained (brown) for caspase-3 and Ki67.
Blue stain represents hematoxylin nuclear staining. (i) in situ apoptotic assay using
TUNEL. Positive cells (red stain) were counted from three microscopic fields and plotted
(N = 4, t test, **P < 0.01). Nuclei are blue stained
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-9
9,12,13
. 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 proliferation
14
. 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).
Fig. 2
PN-1 inhibits SHH signaling and angiogenesis of B cell lymphoma.
a Real-time PCR (i–ii) and immunoblotting (iii) were applied to determine the expression
of PN1, GLI1, PTCH1, and SMO in Raji cells transfected with a PN1 expression plasmid
or empty vector (2 μg) for 24 h (N = 5, t test, *P < 0.05; ***P < 0.001). b Raji cells
transfected with 40 pmol siRNA PN1 (siPN1) or control siRNA (siNEG) were measured
for PN1, SHH, or GLI1 transcript levels using qRT-PCR (i) and protein levels by immune-blotting
(ii) (N = 5; t test, *P < 0.05; **P < 0.01; ***P < 0.001). c Transcriptional levels
of SHH (i), PTCH1 (ii) in Raji cells transfected with pcDNA3-PN1 plasmid (2 μg) or
treated with a SMO inhibitor cyclopamine (20 μM) or both for 24 h (N = 6; one-way
ANOVA; *P < 0.05; **P < 0.01; ***P < 0.001). d Immune-blotting of SHH-signaling pathway
molecules and PN-1 from Raji cells treated as indicated above. e Cell proliferation
(i) was analyzed by CCK-8 proliferation assay after 48 and 72 h culture of cells treated
with PN1 transfection (2 μg) or cyclopamine (20 μM); apoptosis (ii) was determined
by flow cytometry via Annexin-PI staining at 24 h as indicated above (N = 4; one-way
ANOVA *P < 0.05; **P < 0.01; ***P < 0.001). f A20 cells (2 × 106) were treated with
mouse PN-1 recombinant protein at 50 or 100 ng/ml and mRNA transcripts SHH (i), GLI1
(ii), and PN1(iii) were measured by q-RT-PCR (N = 3; one-way ANOVA *P < 0.05; ***P < 0.001).
Immune-blotting of PN-1 protein was performed using A20 cell conditioned medium (iv);
g real-time PCR (i) for PN1, SHH, and GLI1 in A20 xenografts with or without PN-1
(10 μM) (N = 5; t test, **P < 0.01; ***P < 0.001); A20 xenografts with or without
PN-1 (10 μM) were blotted via immune blotting (ii). h immune-histochemistry (brown)
for SHH-signaling cascades and PN-1 in A20 xenograft tumor. DAB-stained for the angiogenesis
marker CD31 (brown). Blue stain is hemotoxylin nuclear staining; i (i) Subcutaneous
tumor volumes from NOD/SCID mice implanted with Raji cells (5 × 106) mixed with PBS
or Matrigel with or without SB3CT (7.5 μM) were measured and plotted (N = 3; t test
*P < 0.05). (ii) Immune blots of PN-1, SHH, and GLI1 in Raji Nod/SCID xenografts with
or without SB3CT (7.5 μM). j DAB staining of PN-1 and SHH in human lymphoid tissues.
Measurement of staining intensity compared with lymph nodes from normal (N = 10),
lymph node reactive hyperplasia (N = 13), or DLBCL-infiltrated lymph nodes (N = 24).
One-way ANOVA performed. Correlation between PN-1 and SHH calculated using Spearman
r value
SHH protein strongly expresses in DLBCL cells but not in less aggressive lymphomas,
CLL and normal germinal center B cells
14
. 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 lymphomas
15
. 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 cells
5,7,15
. 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 lymphoma
5
. 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 apoptosis
15
. DLBCL cells secrete and respond to endogenous SHH ligands, implicating an autocrine
SHH-signaling loop
14
. 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.
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