Takashi Asai1, Megan A Hatlen2, Chen Lossos1, Delphine Ndiaye-Lobry2, Anthony Deblasio2, Kazunori Murata3, Martin Fleisher3, Elena M Cortizas4, Ramiro E Verdun1,4,5, John Petrini6, Stephen D Nimer1. 1. Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, FL 33136 Miami, USA. 2. Molecular Pharmacology Program, Sloan-Kettering Institute, Memorial Sloan-Kettering Cancer Center, New York, 10065 New York, USA. 3. Department of Laboratory Medicine, Sloan-Kettering Institute, Memorial Sloan-Kettering Cancer Center, New York, 10065 New York, USA. 4. Division of Gerontology and Geriatric Medicine, Department of Medicine, Miller School of Medicine, University of Miami, FL 33136 Miami, USA. 5. Geriatric Research Education and Clinical Center, Miami Veterans Affairs Healthcare System, FL 33125 Miami, USA. 6. Molecular Biology Program, Sloan-Kettering Institute, Memorial Sloan-Kettering Cancer Center, New York, 10065 New York, USA.
Abstract
Multiple myeloma is a plasma cell neoplasm with an extremely variable clinical course. Animal models are needed to better understand its pathophysiology and for preclinical testing of potential therapeutic agents. Hematopoietic cells expressing the hypermorphic Rad50(s) allele show hematopoietic failure, which can be mitigated by the lack of a transcription factor, Mef/Elf4. However, we find that 70% of Mef(-/-)Rad50(s/s) mice die from multiple myeloma or other plasma cell neoplasms. These mice initially show an abnormal plasma cell proliferation and monoclonal protein production, and then develop anemia and a decreased bone mineral density. Tumor cells can be serially transplanted and according to array CGH and whole exome sequencing, the pathogenesis of plasma cell neoplasms in these mice is not linked to activation of a specific oncogene, or inactivation of a specific tumor suppressor. This model recapitulates the systemic manifestations of human plasma cell neoplasms, and implicates cooperativity between the Rad50(s) and Mef/Elf4 pathways in initiating myelomagenic mutations that promote plasma cell transformation.
Multiple myeloma is a plasma cell neoplasm with an extremely variable clinical course. Animal models are needed to better understand its pathophysiology and for preclinical testing of potential therapeutic agents. Hematopoietic cells expressing the hypermorphic Rad50(s) allele show hematopoietic failure, which can be mitigated by the lack of a transcription factor, Mef/Elf4. However, we find that 70% of Mef(-/-)Rad50(s/s) mice die from multiple myeloma or other plasma cell neoplasms. These mice initially show an abnormal plasma cell proliferation and monoclonal protein production, and then develop anemia and a decreased bone mineral density. Tumor cells can be serially transplanted and according to array CGH and whole exome sequencing, the pathogenesis of plasma cell neoplasms in these mice is not linked to activation of a specific oncogene, or inactivation of a specific tumor suppressor. This model recapitulates the systemic manifestations of human plasma cell neoplasms, and implicates cooperativity between the Rad50(s) and Mef/Elf4 pathways in initiating myelomagenic mutations that promote plasma cell transformation.
Multiple myeloma is characterized by a slowly progressive monoclonal expansion of plasma
cells within the bone marrow, which in most cases is accompanied by a serum monoclonal
gammopathy and clinical complications including anemia, multiple bone lesions,
nephropathy and frequent infections12. Although outcomes for myelomapatients have greatly improved, multiple myeloma remains an incurable disease, despite
the availability of newer treatment modalities1.Several mouse models of multiple myeloma and plasma cell neoplasms have been
reported3, including xenograft models of humanmyeloma cells and
transplantation models from spontaneously arising or chemically induced murine plasma
cell neoplasms456. In addition, several transgenic mice have been
reported to develop multiple myeloma and plasma cell neoplasms789;
these mice were genetically modified to trigger the increased expression of genes, such
as c-Myc, XBP-1, and MafB, which have been implicated in the
initiation or progression of myeloma in humans. However, these models imperfectly mimic
the human disease and while they recapitulate aspects of its clinical and pathogenic
features, they are driven by already known genes10.Non-homologous end-joining (NHEJ) pathways, which mainly participate in the repair of DNA
double strand breaks (DSBs), contribute to class switch recombination (CSR) in B
cells1112. The MRN complex, which contains Mre11, Rad50, and Nbs1
in mammalian cells, functions as a sensor of DNA DSBs, regulating DSB repair through
homologous recombination and NHEJ pathways, activating ATM as well as ATR signaling13. The MRN complex plays multiple roles during CSR in B cells; and is
essential for its integrity14. The MRN complex also accelerates somatic
hypermutation and gene conversion of immunoglobulin variable regions15,
thereby playing a critical role in humoral immunity mediated by B cells. Mutations in
the Mre11, Rad50, and Nbs1 genes have been reported in B-cell
non-Hodgkin lymphoma and may relate to their pathogenesis1617. NHEJ has
been implicated in the development of multiple myeloma, with whole genome sequencing of
multiple myeloma samples identifying a mutation in the coding region of the Mre11
gene1819, and gene expression profiling of multiple myeloma cells
showing increased expression of NHEJ-related genes, such as Rad50 and
Xrcc420.Previously, we reported that hematopoietic cells expressing the hypermorphic
Rad50 allele show constitutive ATM activation,
leading to cancer predisposition and progressive hematopoietic failure in
Rad50 mice2122. In our attempt
to mitigate this hematopoietic failure, we crossed Rad50mice with a variety of mice that lacked cell cycle regulatory genes that may control
hematopoietic stem or progenitor cell (HSPC) quiescence and found that the absence of
the transcription factor Mef/Elf4 led to the greatest rescue of the hematopoietic
failure232425. Based on our previous study, the
MefRad50mice showed lower number of B cells, myeloid
cells, NK cells, and HSPCs than wild type controls25; however,
serendipitously, we observed that many
MefRad50mice died with plasma cell hyperproliferation,
which prompted us to generate and more intensively analyze doubly modified mice.In this study, we have analyzed the phenotypic and genomic abnormalities present in the
MefRad50mice, establishing a novel and transplantable
mouse model of multiple myeloma and plasma cell neoplasms which mimics the human disease
and is not attributed to the activation of a specific oncogene or inactivation of a
specific tumor suppressor gene (other than Mef). We have begun to clarify the
mechanisms by which the MefRad50mice develop plasma cell neoplasms. We believe
this mouse model will be useful for further analyzing disease initiation and
progression, and for further pre-clinical screening of anti-myeloma compounds.
Results
Plasma cell neoplasms observed in the Mef
Rad50
mice
We analyzed the phenotypes of the
MefRad50mice with wild type,
Mef, and
Rad50mice, and found that
MefRad50mice have a longer survival than
Rad50mice, which is, nonetheless, much
shorter than the survival of wild type mice (Fig. 1a). The
median survival of the
MefRad50mice was 478 days vs 138 days for the
Rad50mice, and when we examined
MefRad50mice that were greater than 300 days old,
many showed severe anemia, increased numbers of plasma cells in the peripheral
blood, and/or tumor formation with splenomegaly (Fig. 1b,
upper panels). We analyzed 10–12 month-old wild type,
Mef, and
MefRad50mice, but not
Rad50mice, which die less than 10
months after birth (Fig. 1a), and found that
MefRad50mice show statistically more anemia,
circulating plasma cells, and splenomegaly, compared to the age-matched wild
type and Mefmice (Fig. 1b, lower panels). In addition, extramedullary tumors
were observed in 3 of 15
MefRad50mice 300–500 day-old, but not
in 20 age-matched wild type or 20 age-matched
Mefmice, with a
significant difference (p = 0.023: wild type vs
MefRad50, p = 0.023:
Mef vs
MefRad50). Microscopically, we found an extensive
infiltration of monotonous plasmacytoid cells throughout the spleen, bone marrow
and peripheral blood (Fig. 1c). Immunohistochemical
staining of the spleen showed that the plasmocyte-like cells were, in fact, B220
negative, CD138 positive plasma cells (Fig. 1d). We
analyzed spleens, bone marrows, and tumors (if available) from 20 wild type, 20
Mef, and 15
MefRad50mice between the age of 300 and 500 days
old by immunohistochemistry. While aggregates of CD138+
B220− plasma cells were found in the spleen, bone
marrow, and/or tumor in 12
MefRad50mice (80%), no plasma cell aggregates were
observed in wild type or
Mefmice; this too
represents a significant abnormality (p < 0.0001:
MefRad50 vs wild type,
p < 0.0001:
MefRad50 vs
Mef). Although
95% of mouse B and plasma cells are normally κ light chain
positive26, 4 of the 18 (22.2%)
MefRad50mice that we analyzed by flow cytometry
showed exclusive λ light chain positivity. On the other hand, 14
(77.8%) mice showed κ light chain positivity with λ
exclusively negative. These imply an abnormal and likely monoclonal plasma cell
proliferation (Supplementary Table
S1 and Fig. 1d). When we analyzed cells from
various MefRad50mouse tissues by flow cytometry, we found
extensive involvement of multiple organs with CD138+
B220− plasma cells (Fig.
1e). These cells did not express cell surface CD3, CD4, or CD8,
demonstrating that they are not T cells (data not shown). We also analyzed the
immunoglobulin class in each mouse by flow cytometry and found that of the 19
mice analyzed, 16 showed IgG tumors, one mouse showed IgA, and 2 mice had no
detectable immunoglobulin heavy chain (Supplementary Table S1).
Figure 1
Plasma cell neoplasms observed in the
Mef
Rad50 mice.
(a) Kaplan-Meier curves showing the survival of wild type control,
Mef,
Rad50, and
Mef
Rad50 mice. Mouse number of each group is
demonstrated. (b) Macroscopic pathological findings of a
representative 1-year-old
Mef
Rad50 mouse and circulating plasma cells
observed in Mef
Rad50 mice in the upper panels. Spleen
weight (mg), hemoglobin concentration (g/dL), and frequency of circulating
plasma cells in peripheral blood (%) were analyzed in
300–350-day-old wild type,
Mef, and
Mef
Rad50 mice in the lower panel. P values
between wild type and
Mef
Rad50 mice, and
Mef and
Mef
Rad50 mice are shown in each graph.
(c) Histological images of tumor, spleen and bone marrow in a
representative 1-year-old
Mef
Rad50 mouse stained with hematoxylin and
eosin at x400 magnification. (d) Immunohistochemical staining of the
wild type and Mef
Rad50 spleens, using anti-CD138,
anti-λ, and anti-κ antibodies. (e) Flow
cytometric analysis of various tissues from 1-year-old
Mef
Rad50 mice and age-matched wild type control
mice. The profile of B220 and CD138 expression is shown. The number shows
the frequency of each quadrant. (f) PCR detection of immunoglobulin
gene rearrangements in tumor and normal spleen samples using VH
family-specific forward primers and a reverse primer at JH4 to
amplify variable-joining (VH-JH) regions of the IgH
locus. An independent PCR assay amplifying a region of the GAPDH gene was
performed for input control. A clear shift from multi-bands to mono-band can
be observed in tumors only on the VHJ568 amplification,
suggesting the monoclonality of the tumor. SP: spleen control from wild type
mice; T1, T2: tumor from
Mef
Rad50 mice. (g) Cause of death in
Mef
Rad50 mice, as determined by pathology,
immunohistochemistry, and flow cytometry.
For the clonality analysis, we performed V(D)J sequencing to examine the
clonality of the plasma cell infiltration found in the
MefRad50mice, using PCR to amplify the multiple
variable-joining (VH-JH) regions of the IgH locus. We used
the tumors from the MefRad50mice and the spleen control samples for
this analysis, though we were not able to collect enough numbers of purified
tumor cells from block samples because of technical limitations. While the PCR
products from spleen tissue demonstrated multiple bands, which represent
polyclonality, the PCR products from the tumor samples clearly showed a single
band, only derived from the VHJ588 family, representing monoclonality
(Fig. 1f). Monoclonal bands from three tumor samples
were cloned and sequenced, and we confirmed that all (10 out of 10 sequenced)
had the same monoclonal VH, DH, and JH usage
with modest numbers of the same somatic mutations in the VH regions
(Table 1). In addition, we performed PCR-based
D-JH rearrangement PCR assays on tumor samples from several
different MefRad50mice and found clonal but distinct
D-JH rearrangements in the different mice (Supplementary Figure S1). Furthermore, to
confirm the clonality of the plasma cells in
MefRad50tumors, we looked for V(D)J rearrangement
at the IgH locus by Southern blotting using a JH4-Eμ
probe and found monoclonal VDJ rearrangement bands only in
MefRad50tumors (Supplementary Figure S2); the control, wild
type splenic B cells showed multiple VDJ rearrangement bands. Taken together,
these data suggest that the plasma cell infiltrates and tumors in the
MefRad50mice are monoclonal in nature and of
post-germinal center origin.
Table 1
Mutation analysis of VDJ region in
Mef
Rad50 plasma cell tumor samples.
Mice UID
Tumor
VH
DH
JH
No.Mutationsat VH
Mutations atVH andAmion Acid
Changes
Percent Mutationsat VH
33
MM
IGHV1-50*01, IGHV1-59*01 or
IGHV1S40*01
IGHD2-3*01
IGHJ4*01
1
c227 > g,
A76 > G
1.0
112
MM
IGHV1-67*01
IGHD4-1*01
IGHJ3*01
2
c227 > g,
A76 > G
a232 > t,
M78 > L
2.1
217
PCT
IGHV1-67*01
IGHD3-2*02
IGHJ3*01
7
c227 > g,
A76 > G
7.3
a232 > t,
M78 > L
g25 > c,
S85 > T
a256 > t,
T86 > S
a263 > t,
Y88 > F
a290 > g,
E97 > G
g291 > a,
E97 > G
The first two columns show mouse UID and the phenotype of the
mice (MM, multiple myeloma; PCT, solitary plasmacytoma). The
VH, DH, and JH usage
and mutations were scored by comparing each sequence with
the germline sequences at the IMGT server.
We determined the cause of death in many of the
MefRad50mice (~85%), and found that
~15% of the
MefRad50mice had severe bone marrow failure, while
the remaining ~70% developed plasma cell dyscrasias, initially a
syndrome resembling monoclonal gammopathy of unknown significance (MGUS), which
unlike the human disorder, invariably progressed to multiple myeloma and even
plasmacytic leukemia in some mice (Fig. 1g and Supplementary Table S1).
Progressive plasma cell neoplasms found in the Mef
Rad50
mice
We analyzed the frequency of plasma cells in the bone marrow of younger mice
(aged 150 to 200 days old) by flow cytometry, and while the bone marrow of the
wild type, Mef, and
Rad50mice contained <1%
CD138+ B220− plasma cells
(0.38 ± 0.10%,
0.47 ± 0.26%, and
0.67 ± 0.38%, respectively,
n = 4 each), the
MefRad50 bone marrows contained significantly
larger numbers of plasma cells
(14.43 ± 3.41%,
n = 4), at a time when the mice showed no signs of
disease (Fig. 2a and Supplementary Figure S3). Similarly, the peripheral blood of the
MefRad50mice had higher plasma cell frequencies
and more absolute numbers of plasma cells than the other genotypes, with the
plasma cell frequency increasing significantly with age (p value is 0.028,
comparing the slopes of linear regression by AVCOVA: wild type vs
MefRad50mice) (Fig. 2b). The
MefRad50mice also had lower hemoglobin
concentrations than the other mice (aged 200–300 days old,
p = 0.0323:
MefRad50 vs wild type,
p = 0,0156:
MefRad50 vs
Mef,
n = 6 each), and the severity of the anemia
significantly correlated with the number of plasma cells in the peripheral blood
(p value is 0.015, comparing the slopes of linear regression by AVCOVA: wild
type vs MefRad50mice) (Fig. 2c). We
looked for monoclonal protein secretion, and found monoclonal peaks
(“M spikes”) on the serum protein electrophoresis of all
MefRad50mice with multiple myeloma or plasmacytic
leukemia that were over 300 days old (Fig. 2d and Supplementary Table S1). We also
performed serum protein electrophoresis, on younger
MefRad50mice: 12 mice were less than 100 days, 8
were 100–200 days, and 9 were 200–300 days old. These
mice were not anemic and they displayed no symptoms; none of the mice less than
100 days old had a monoclonal peak, while two (25%) of the
100–200-day-old mice and four (44%) of the
200–300-day-old mice showed monoclonal peaks. This suggests that
clonal plasma cells gradually expand over time and produce more M protein.
Similarly, serum γ-globulin levels were also significantly higher in
the MefRad50mice, than the control mice, and
γ-globulin levels increased as the mice aged (p value is 0.037,
comparing slopes of linear regression by AVCOVA: wild type vs
MefRad50mice) (Fig. 2e). The
micro-vessel density in the
Mef
Rad50bone marrow was significantly higher than
the bone marrow of the wild type controls (p = 0.010)
(Supplementary Figure S4).
Figure 2
Progressive plasma cell neoplasms found in the
Mef
Rad50 mice.
(a) The B220 and CD138 expression profile of bone marrow cells
obtained from 6-month-old wild type control,
Mef,
Rad50, and
Mef
Rad50 mice. The number shows the frequency
of cells in each quadrant. (b) The frequency of CD138+
B220− plasma cells in the peripheral blood is
plotted vs the age of the mice. P value is 0.028, comparing the slopes of
linear regression by ANCOVA: wild type vs
Mef
Rad50 mice. (c) The hemoglobin
concentration (g/dL) is plotted against the frequency of
CD138+ B220− plasma cells in
the peripheral blood. P value is 0.015, comparing the slopes of linear
regression by AVCOVA: wild type vs
Mef
Rad50 mice. (d) Serum protein
electrophoresis of 1-year-old wild type and
Mef
Rad50 mice. The M-spike is indicated by the
arrow. (e) The γ-globulin percentage of total serum
protein is plotted vs the age of the corresponding mouse. P value is 0.037,
comparing the slopes of linear regression by AVCOVA: wild type vs
Mef
Rad50 mice. (f) Detection of
osteolytic lesions by X-ray analysis of
Mef
Rad50 mice (upper panels). The solitary
osteolytic lesion is marked by the white arrow. The ratio of the bone
density of the thoracic vertebrae and left femur, to the soft tissue density
is calculated for the wild type and
Mef
Rad50 mice (lower panels)
(n = 6 each group). P values are 0.003 (thoracic
vertebrae) and 0.007 (left femur), respectively.
We looked for the kinds of end organ damage that is observed in human multiple
myeloma patients2, and analyzed the bone mineral density of the
vertebra and femurs of the
MefRad50mice using micro-CT. The micro-CT showed
that 4 of the 6 MefRad50mice (over 300 days old) had focal, lytic
bone lesions, while none of the 6 wild type littermate controls had lytic
lesions. We also calculated the ratio of the bone density to the soft tissue
density of the thoracic vertebrae and left femurs in a variety of mice and
observed significantly lower bone density in the
MefRad50mice than in the control mice
(P = 0.003 and 0.007 for the thoracic vertebrae and the
left femur, respectively); thus
MefRad50mice suffer from diffuse osteoporosis
(Fig. 2f) and lytic bone lesions, similar to humanmultiple myeloma patients27. We also performed tartrate-resistant
acid phosphatase and hematoxylin-eosin staining of the bones to detect
osteoclasts in the MefRad50 and wild type mice. The
MefRad50mice showed significantly more
tartrate-positive osteoclasts in the femur than did wild type mice
(p = 0.013) (Supplementary Figure S5), findings that are also consistent with that
seen in humanmultiple myeloma. We examined the kidneys of
MefRad50mice, by Congo red fluorescence staining
and found two of 12 MefRad50mice with amyloid deposition in their
glomerulus, as demonstrated by apple-green birefringence (Supplementary Figure S6). These findings
illustrate how MefRad50mice recapitulate the biological and
clinical features of humanmultiple myeloma and plasma cell neoplasms. We also
examined the chemosensitivity of the malignant plasma cells ex vivo and
found that melphalan inhibited
MefRad50 plasma cell proliferation to a greater
degree than control plasma cells (Supplementary Figure S7a).
Transplantability of Mef
Rad50
plasma cell neoplasms
We next studied if the plasma cell neoplasms that we observe in
MefRad50mice can be transplanted. Spleen and bone
marrow cells from tumor-carrying
MefRad50mice (400–450 days old) were
injected into sub-lethally irradiated (4.75Gy) recipient mice in a
dose-escalating manner. The recipient mice died within 25–35 days
(Fig. 3a). Flow cytometric analysis, and histologic
sectioning, demonstrated that the recipient mice suffered from the same plasma
cell neoplasms as the original mice (Fig. 3b,c). We
measured the bone density in four recipients of
2 × 105
MefRad50 spleen cells and found a modest but
significant decrease from 1.908 ± 0.062 to
1.695 ± 0.052
(p = 0.0043), suggesting that the decreased bone density
is indeed driven by the plasma cell neoplasm. We also performed tertiary
transplantation, using spleen or bone marrow cells collected from 3-week-old
recipient mice that had received neoplastic
MefRad50 plasma cells. All sub-lethally irradiated
recipient mice that received
2 × 105 spleen cells or
1 × 105 bone marrow cells
again died within 25–35 days (Fig. 3d), of the
same plasma cell disease (Fig. 3e). Fewer cells were
needed for the tertiary transplant than the secondary transplant (Fig. 3d), indicating an enrichment for disease-initiating cells with
each sequential transplantation.
Figure 3
Transplantability of
Mef
Rad50 plasma cell neoplasms.
(a) The Kaplan-Meier curves showing survival after the secondary
transplantation of a dose escalating number of spleen and bone marrow cells
from tumor-carrying
Mef
Rad50 mice or from wild type control mice.
(b) The profile of B220 and CD138 expression in peripheral blood,
spleen and bone marrow cells obtained from recipients 3 weeks after the
secondary transplantation of
Mef
Rad50 spleen cells. The number shows the
frequency of cells in each quadrant. (c) The histology of the bone
marrow, spleen and liver are shown in recipients 3 weeks after the secondary
transplantation of
Mef
Rad50 or wild type spleen cells, at x600
magnification. (d) The Kaplan-Meier curves showing survival after the
tertiary transplantation of a dose escalating number of neoplastic spleen
and bone marrow cells or wild type cells from control mice. (e) The
profile of B220 and CD138 expression in peripheral blood, spleen and bone
marrow cells obtained from recipients, 3 weeks after the tertiary
transplantation of
Mef
Rad50 spleen cells. The number shows the
frequency of cells in each quadrant.
We also performed in vivo treatment of tertiary transplanted mice that had
received 2 × 105 spleen cells
from the secondary recipients of tumor-carrying
MefRad50mice or age-matched wild type control
mice, administered melphalan (2.5 mg/kg, day1–5) or
bortezomib (0.5 mg/kg, day 1–4), and following their
survival (Supplementary Figure S7b).
Both melphalan and bortezomib, which are standard anti-myeloma drugs,
significantly prolonged the survival of the mice that had received neoplastic
MefRad50 spleen cells, compared to the control
vehicle (n = 6, p = 0.0016 and
p = 0.0011, respectively). Chesi et al. reported
that Bortezomib prolonged the survival of secondary or tertiary transplanted
Vκ*MYCmice and observed a similar prolongation of survival28. Thus, our results of in vivo treatment of plasma cell
neoplasms is comparable to that obtained using a distinct, transgenic mouse
model of multiple myeloma.
Pathophysiology of Mef
Rad50
plasma cell neoplasms
To address the underlying mechanisms by which the
MefRad50mice develop plasma cell neoplasms, we
analyzed the CSR capability of
MefRad50 B cells, using flow cytometric analysis of
IgG1+ B cells after a 4 day ex vivo stimulation with
anti-CD40 Ab (1 μg/mL) and IL-4 (100 ng/mL).
MefRad50 B cells showed more IgG1+
cells poststimulation than did the control,
Mef, or
Rad50 B cells, demonstrating their enhanced
CSR capacity (Fig. 4a). We performed V(D)J sequencing of
MefRad50IgG1+
“normal” B cells following a 4 day ex vivo
stimulation with anti-CD40 Ab and IL-4; the PCR products from these cells were
polyclonal without specific V(D)J patterns, indicating normal ex vivo
class switching.
Figure 4
Pathophysiology of
Mef
Rad50 plasma cell neoplasms.
(a) Analysis of ex vivo B cell class switch recombination (CSR)
of 6-month-old wild type control,
Mef,
Rad50, and
Mef
Rad50 mice. IgG1+B cells
present after a 96-hour stimulation with anti-CD40 Ab (1 μg/mL)
and IL-4 (100 ng/mL), were analyzed by flow cytometry (upper
panels). The histogram shows the percentage of stimulated
IgG1+ B cells from wild type control,
Mef,
Rad50, and
Mef
Rad50 mice (n = 4)
(lower panel). (b) The profile of CD20 and CD27 expression on the
splenic CD19+ CD138− B cells of
6-month-old wild type control,
Mef, and
Mef
Rad50 mice (left panels). The histogram
shows the percentage of CD20+ CD27+ cells in
the splenic CD19+ CD138− B cells
from wild type control,
Mef, and
Mef
Rad50 mice (n = 4)
(right panel).
When we phenotypically analyzed the splenic B cells in 200-day-old, apparently
healthy control wild type,
Mef,
MefRad50mice, we found many more
CD20+ CD27+ CD19+
CD138− cells in the
MefRad50 spleen (Fig. 4b),
cells that are thought to represent post germinal center memory B cells29. Mef deficient mice had more splenic B cells than control
mice30, yet Mef deficiency itself had little impact on CSR or
the size of the memory B cell compartment. Thus, Mef deficiency and
Rad50 mutations work synergistically to
induce plasma cell transformation.We analyzed the level of apoptosis in splenic plasma cells isolated from wild
type and MefRad50 200-day-old mice, and found no difference
in the frequency of apoptotic plasma cells (data not shown). We also compared
Bcl2 and Bax mRNA expression in wild type plasma cells
(n = 4), and
MefRad50 plasma cell tumors
(n = 8) and found no significant differences, using a
qPCR assay (Supplementary Figure
S8). Thus, MefRad50 plasma cells have no apparent change in
their apoptotic threshold. Amplification, or dysregulated expression, of the
c-Myc gene is thought to be important for the development of multiple
myeloma and plasma cell neoplasms3132, so we used array CGH to
examine plasma cell samples from five independent
MefRad50mice. Four samples showed high level
amplification of chromosome 15, which includes the c-Myc gene (Fig. 5a), but we did not find translocation of c-Myc to the
Ig locus by FISH analysis (data not shown).
Figure 5
Array CGH of plasma cell neoplasms in
Mef
Rad50 mice.
(a) Array CGH data from 5 different tumor samples in
Mef
Rad50 mice. Horizontal marks demonstrate the
location of the chromosomes. Red and blue colors mean amplified and
decreased locations, respectively. The locations of several myeloma-related
genes are indicated below. (b) Gene amplification related to human
myelomagenesis analyzed from 5
Mef
Rad50 tumor samples by array CGH. Red and
blue colors mean amplified and decreased locations, respectively.
Of the other recurrently translocated genes observed in myelomapatients
(CCND1, CCND3, MafB, Maf, Fgfr, and
Mmset)33, we found CCND3 amplification in one
sample (Fig. 5b). Nonetheless, CCND3 expression did
not vary between wild type plasma cells (n = 4) and the
MefRad50 plasma cell tumors
(n = 8) using qPCR assays. In contrast, CCND1
expression was significantly higher in the
MefRad50 plasma cell tumors than in wild type
plasma cells (Supplementary Figure
S9a,b). Increased expression of CCND genes is universally
observed in MGUS and multiple myeloma, which can disrupt the E2F/RB pathway1034. Taken together, these findings mirror the gene expression
profiling studies that have compared human plasma cell neoplasm samples and
normal human plasma cells353637.
Myc expression in Mef
Rad50
plasma cell neoplasms
We also analyzed cell surface CD138 expression and intranuclear Myc expression in
the spleen cells of eight affected
MefRad50mice (400–450 days old) by
immunohistochemistry (Fig. 6a and Supplementary Figure S10). Five samples
(62.5%) showed high Myc expression, while three showed no detectable Myc
expression, even though CD138 was highly expressed. We also examined Myc
mRNA expression levels in the
MefRad50 plasma cell tumors, using qPCR, and found
variable Myc expression (both increased and decreased expression)
compared to wild type plasma cells (Fig. 6b).
Figure 6
Myc expression in Mef
Rad50 mice.
(a) Immunohistochemical analysis of WT and
Mef
Rad50 spleen sections stained with CD138 and
c-Myc, observed at x400 magnification. (b) Myc transcript
expression levels between WT plasma cells (n = 4) vs
Mef
Rad50 plasma cell tumors
(n = 8) using qPCR. P value is 0.339. (c) The
survival of two distinct
Mef
Rad50 mouse groups, classified by the level
of Myc transcript expression. The Myc high group has more than twice
the Myc transcript level of WT plasma cells, while the Myc low group has
less than twice the Myc transcript level of WT plasma cells
(n = 10 each group). P value is 0.668 by Log-rank
test. (d) The result of the exome sequencing for
Mef
Rad50 plasma cell tumor samples. List of the
somatically mutated genes, found in 2, 3, or 4 different tumor samples. 4
Mef
Rad50 tumor and 5 WT tail
samples were used for the exome sequencing.
We classified MefRad50tumor-bearing mice into two groups based
on Myc mRNA levels, and examined their survival: we found no differences
in the survival between the high Myc group (Myc expression 2 x
greater than wild type plasma cells) and the low Myc group (where Myc expression
was less than 2 x the wild type plasma cells). (Figure 6c). Thus, the
MefRad50 intracellular milieu generated plasma cell
neoplasms with a variety of Myc expression levels, which were comparably
aggressive. The plasma cell neoplasms that occur in the
MefRad50mice, also mimic what is found in human
plasma cell neoplasms, where Myc overexpression is seen in some but not all
patients31. We also measured Irf4, Prdm1, and
Xbp-1 expression levels in the
MefRad50 plasma cell tumors, and found that the
expression of these transcripts was not increased compared to wild type plasma
cells (Supplementary Figure
S9c–e). This too is similar to what is seen when human
plasma cell neoplasms and normal plasma cells are compared3637.
Gene mutations detected by whole exome sequencing found in Mef
Rad50
plasma cell neoplasms
We performed whole exome sequencing of four plasma cell tumor samples obtained
from MefRad50mice, using tail samples from five
wild-type littermate mice as the germline controls. We found on average 204 exon
mutations per sample (range 169–269). One mutated gene
(Larp1) was seen in all four samples, two mutated genes (Obscn and
Mapk7) were found in 3 of the 4 samples, and 26 mutated genes were
found in 2 of the 4 samples (Fig. 6d). These included
mutations in the following genes: Sptn1, Mphosph9, and
Obscn, all of which have also been observed in humanmyeloma samples
using whole genome sequencing19. We validated the mutations in
the Larp1 gene, which were found in 4 samples from
MefRad50mice and the mutations in the Mapk7
gene, which were found in 3 samples from
MefRad50mice, confirming mutations in Larp1
for the amino acid changes, A170P, G304W, N593T and S807I, and mutations in
Mapk7 for the amino acid changes, K107R, L167I, V237E, and L368V. Of
the 569 genes where we found mutations, 55 genes were identified as having
somatic mutations that affect protein-coding regions in humanmyeloma
samples19 (Supplementary Table S2). Compared with the currently available genome
sequencing data of humanmultiple myeloma, the plasma cell neoplasms derived
from MefRad50mice possess a wider range of exon
mutations, which may imply the absence of one dominant oncogene that drives
pathogenesis of the observed plasma cell neoplasms19. To identify
biologically relevant mutations, we performed functional annotation clustering,
using DAVID software, and found ABC transporter, NF-κB signaling,
Notch signaling, and focal adhesion signaling clusters to be significantly
disturbed (Supplementary Table S3).
This suggests that NF-κB signaling pathway genes among others, drive
the pathogenesis of MefRad50 driven plasma cell neoplasm, as these
genes are also significantly mutated in humanmultiple myeloma samples19.
Discussion
The MefRad50mouse is a novel model of human multiple
myeloma and plasma cell neoplasms; an abnormal proliferation of plasma cells is seen
initially, accompanied by a monoclonal serum protein, mimicking MGUS or smoldering
myeloma. However, the mice then develop progressive anemia and osteoporosis,
indicative of full-blown myeloma. While MGUS is generally recognized as a
premalignant condition that progresses to multiple myeloma at a rate of about 1
percent per year38, disease progression in this mouse model occurs
with a much greater frequency. In fact, nearly all mice that do not succumb to
hematopoietic failure, develop advanced multiple myeloma, or a related plasma cell
neoplasm, with time. Thus, this mouse will be useful for studying MGUS and also
plasmacytic leukemia, as nearly all of the tertiary transplant recipient mice die of
plasmacytic leukemia.Based on our observations, we hypothesize that the enhanced CSR seen in
MefRad50mice facilitates the accumulation of
post-germinal center memory B cells, which together with the genomic instability
induced by Rad50 triggers oncogenic mutations leading
to clonogenic plasma cell proliferation39. Genomic instability is
induced during CSR by activation-induced cytidine deaminase (AID), which has been
identified as an enzyme required for somatic hypermutation and CSR40.
AID has oncogenic activity in post germinal center neoplasms841,
thus further studies are needed to clarify whether the development of plasma cell
neoplasms in MefRad50mice is dependent on AID activity. Subsequent
mutations, or perhaps epigenetic events, may then trigger the progression to
multiple myeloma, or a related plasma cell neoplasm. Clearly, our data suggest that
the development of a plasma cell disease in the
MefRad50mice is not necessarily linked to Myc
overexpression, which is similar to the situation with human plasma cell
neoplasms353637.The plasma cell neoplasms that we observe in the
MefRad50mice appear to originate from post-germinal
center memory B cells, which is consistent with our current understanding of plasma
cell biology42. Several, recent studies have examined
myeloma-initiating cells39. For instance, Matsui et al.
reported that CD20+CD27+memory B cells isolated from
multiple myelomapatients can give rise to clonogenic, multiple myeloma cell growth
in vitro and engraftment in NOD/SCID mice29. The
accumulation of post-germinal center, memory B cells likely reflects the earliest
steps in the generation of clonogenic plasma cells in the
MefRad50mice. Together with the chromosomal
instability that is seen in the Rad50mouse
background, MefRad50 B cells are clearly predisposed to transform
into plasma cell malignancies2125, likely because they accumulate
multiple mutations after CSR.Our studies of Mef/Elf4, and those of others, have identified both oncogenic and
tumor suppressor activities43444546. Perhaps most relevant here
are our studies of the role of Mef in the DNA damage response47. We
found that the absence of Mef diminished the cell’s DNA damage response,
leading to less activation of p53 and less γH2AX after irradiation. This
could allow for a more modest repair of certain types of DNA damage, and also
improved cell survival after cellular stress.
MefRad50mice show a full spectrum of clinical plasma
cell disorders, with a time course faster than other mouse models78. One possible reason for this, is that the Rad50
background is more tolerant to the acquisition of mutations. Another is that both
Mef mice30 and MefRad50mice have reduced numbers of NK and NK-T cells
(data not shown), which may impair the immune response to the transformed plasma
cells that are generated within the
MefRad50mice.We have summarized the characteristics of the
MefRad50mouse model of multiple myeloma and plasma
cell neoplasms, and compared it with other transgenic myeloma models and humanmultiple myeloma (Supplementary Table
S4). Chang et al. published that chromosomal instability triggered by
Rrm2b loss leads to plasma cell neoplasms48. In that model, the
malignant cell is provoked by hyperactivation of pro-inflammatory cytokines,
including IL-6. IL-6transgenic mice have been reported to develop extramedullary
plasmacytoma49. In contrast, neoplastic plasma cells derived from
MefRad50mice do not proliferate ex vivo in IL-6
containing media and serum IL-6 levels are not elevated in
MefRad50mice (data not shown). These findings suggest
a lack of IL-6 dependence, and indicate a different mechanism of myelomagenesis,
than that seen in the Rrm2b null mice.Interactions between myeloma cells and various components of the bone marrow
microenvironment play essential roles in tumor growth, survival, and drug
resistance1. Increased angiogenesis is thought to be important
for the proliferation and survival of myeloma cells, as well as for the disease
progression50. Published work, using the 5T2MM myelomamouse
model, has demonstrated that multiple myeloma-initiating cells prefer a hypoxic bone
marrow microenvironment; nonetheless, hypoxia is apparently lessened during disease
progression from MGUS to multiple myeloma51. The micro-vessel density
is increased in the MefRad50 bone marrow of older mice, which likely
supports the progressive growth of the neoplastic plasma cells. Future studies can
address the importance of these interactions in our model.The pathogenesis of the plasma cell neoplasm we observed is not linked to the
activation of a specific oncogene nor inactivation of a specific tumor suppressor
other than the lack of Mef. Its absence is clearly important because it allows
Rad50mice to survive long enough so they can
develop a plasma cell expansion, but its absence clearly plays an important
pathogenic role. We do not see increased plasma cells in the circulation or the bone
marrow of the Rad50mice, indicating that the
alterations in Rad50 and Mef genes work synergistically to create a
cellular environment that promotes plasma cell expansion and transformation. The
bone marrow failure induced by Rad50 is partially
mitigated by p21,
p27, and
Chk2 in addition to
Mef25,
yet Rad50mice generated on the
p21,
p27, or
Chk2 background
primarily develop lymphomas (Morales M et al. unpublished data), while the
Rad50mice generated on the
Mefbackground
develop only plasma cell neoplasms. Thus, while the Rad50 hypermorphic status
has strong oncogenic potential in the hematopoietic compartment, both Rad50
hypermorphic status and Mef deletion are needed to develop plasma cell
neoplasms. Further, in-depth examination of
MefRad50 plasma cells will allow us to better define
myeloma pathogenesis and screen for novel anti-myeloma compounds, or for factors
that can delay the onset or progression of plasma cell disorders.
Methods
Mice
The generation of Mef and
Rad50mice that were backcrossed to C57BL/6
five times was described previously2130. All mice were
maintained in the Memorial Sloan-Kettering Cancer Center (MSKCC) and University
of Miami (UM) Animal Facility, according to IACUC (Institutional Animal Care and
Use Committee)-approved protocols, and kept in Thorensten units with filtered
germ-free air. All the studies were approved by IACUC of MSKCC and UM and
experiments were conducted in accordance with the committee’s
approved guidelines.
Pathological and immunohistochemical studies
Peripheral blood was collected from tail veins and analyzed on an automated blood
counter, HEMAVET HV950FS (Drew Scientific). Tissue samples were fixed
immediately after isolation and processed into paraffin, sectioned and examined
histologically using hematoxylin and eosin, Congo red, or immunohistochemical
techniques. Immunohistochemical staining was performed using the following
anti-mouse antibodies: CD138 (281-2, BD Pharmingen), λ
(SouthernBiotech), κ (SouthernBiotech), and c-Myc (Y-69, Abcam).
Samples were reviewed by pathologists and diagnosed using uniform criteria.
Transplantation studies
Femoral and tibial bone marrow or splenic nucleated cells from the
400–450-day-old
MefRad50mice with plasma cell neoplasms were
injected intravenously into sub-lethally (4.75 Gy) irradiated 6–8
week-old C57BL/6 SJL (Jackson Lab) recipient mice.
Flow cytometry
The following antibodies were used in combinations: CD138, CD45R/B220, CD20,
CD27, IgG1, κ and λ (BD Pharmingen). To detect
intracellular κ and λ, we used an Intracellular Staining
Kit (Invitrogen). Stained cells were analyzed by flow cytometry using FACScan,
FACSCalibur (BD), MoFlo (Cytomation) or LSRII (BD).
Serum protein electrophoresis
Serum protein electrophoresis was performed using a SPIFE 3000 electrophoresis
analyzer (Helena Laboratories).
Clonality and VH analysis
In order to perform the clonality analysis, we examined the tumor and the spleen
control samples, though we were not able to collect enough numbers of purified
tumor cells from tumor block samples because of technical limitations. We used
PCR to amplify the variable-joining (VH-JH) region of the
immunoglobulin heavy chain locus. For this goal the 5′ primers for
VHJ558 (5′-RGCCTGGGRCTTCAGTGAAG-3′ or
5′-AAGGSCACAYTKACTGTAGAC-3′)5253
(R = A+ G), VHGAM3.8:
(5′-GAAGAA GCCTGGAGAGACAGTCAAGAT-3′), VHQ52:
(5′ GCCCTCACAGAGCCTGTCCAT-3′), and VH7183:
(5′TCCCTGAAACTCTCCTGTGCAGCCTC-3′) were combined with a
3′ primer for J4
(5′-GGAGACGGTGACTGAGGTTCC-3′) were combined with a
3′ primer for J4 (5′-
GGAGACGGTGACTGAGGTTCC-3′). Each PCR reaction had a final volume of
25 μl containing 30ng genomic DNA (tumor or spleen),
1 μM of VHJ558, VHGAM3.8,
VHQ52, or VH7183 primer and
0.22 μM of J4 primer. All amplifications were performed
with AmpliTaq Gold (Applied Biosystems) with a 10 minute initial denaturation
step at 95 oC followed by 11 cycles with 30 second
denaturation (94 oC), 1 minute annealing
(68 oC,
−1 oC per cycle), and 1 minute
extension (68 oC); and finally 30 cycles with
30 second denaturation (94 oC), 1 minute
annealing (57 oC), and 1 minute extension
(68 oC). The PCR products were analyzed in 1.5%
Agarose gels with ethidium bromide and cloned into the pCR 2.1 vectors
(Invitrogen) for DNA sequencing analysis. Primers used to amplify GAPDH gene
were FW (5′- CACCTTCAGCTTTCCGGCCACTTAC-3′) and RV
(5′- GGAAGCCCATCACCATCTTCCAGGA-3′). Sequences were
performed by 3130xL Genetic Analyzer (Applied Biosystems) and analyzed using
MacVector software, and the VH, DH, and JH
usage and mutations were scored by comparing each sequence (10 sequences per
sample) with the germline sequences at the IMGT server (http://www.imgt.org)54.
Based on the nucleic acid numbers of the rearranged VH regions, we
calculated the percentage of mutations, as described previously8.
Micro-CT images and measurement of bone mineral density
Mice over 300 days old age were used for this analysis. CT images were obtained
using a microCAT-II scanner (ImTek, Knoxville, TN). The image data were
processed by an ultra-fast volume reconstruction engine (Real-time Image
Reconstruction System), as previously described55.
Array CGH
Genomic DNA was extracted from tissues by DNeasy Tissue & Blood Kit
(Qiagen) and the SurePrint G3 Mouse CGH Microarray Kit,
1 × 1M (Agilent Technologies) was used for
array CGH analysis. The acquired data were normalized using the MSKCC software
and analyzed using the Integrated Genomics Viewer software.
Quantitative PCR
Quantitative PCR was performed by 7500 Fast Real-Time PCR System (Applied
Biosystems), using RNA isolated from wild type plasma cells, which were sorted
by mouseCD138+ Plasma Cell Isolation Kit (Miltenyi Biotec), and
plasma cell tumors derived from
MefRad50mice. Transcript expression levels were
calculated and standardized by the ratio of each transcript vs Hprt. The
following Taqman probes (Life Technologies) were used for quantitative PCR:
Mm00487804_m1 (Myc).
Exome Sequencing
SureSelect Mouse All Exon Kit (Agilent Technologies) was used for enrichment of
the entire mouse exome, and the 5500xl Genetic Analyzer (Applied Biosystems) was
used for the sequencing. The BAM files were processed using the GATK toolkit,
following the published best practice guidelines. They were first realigned
using the InDel realigner and then the base quality values were recalibrated
using the BaseQRecalibrator. Variants were then called using the GATK Unified
Genotyper. The calls were filtered to remove any mutations scored as LowQual by
the Unified Genotyper or with an alternative allele depth <5 reads. The
filtered calls were annotated with SNPEff and synonymous mutations were also
filtered out from the list. To make the final list from this list, we selected
genes with >0.15 of the variant frequency and variants which could not be
observed in control samples, and excluded identical variants at an identical
base as artifacts.
Statistics
Statistical significance was assayed by Student’s t test (for two
groups) and one-way ANOVA with Tukey’s multiple comparison test as a
post test (for more than two groups). Survival analysis was performed by
Log-rank test. Comparison of slopes of linear regression is performed by ANCOVA;
*p < 0.05;
**p < 0.01;
***p < 0.005;
# < 0.0001; ns, not significant.
Additional Information
How to cite this article: Asai, T. et al. Generation of a novel,
multi-stage, progressive, and transplantable model of plasma cell neoplasms. Sci.
Rep.
6, 22760; doi: 10.1038/srep22760 (2016).
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