Negar Khazan1, Kyu Kwang Kim1, Jeanne N Hansen2, Niloy A Singh1, Taylor Moore1, Cameron W A Snyder1, Ravina Pandita1, Myla Strawderman3, Michiko Fujihara4, Yuta Takamura4, Ye Jian5, Nicholas Battaglia5, Naohiro Yano6, Yuki Teramoto7, Leggy A Arnold8, Russell Hopson9, Keshav Kishor10, Sneha Nayak10, Debasmita Ojha10, Ashoke Sharon10, John M Ashton11, Jian Wang12, Michael T Milano13, Hiroshi Miyamoto7, David C Linehan5, Scott A Gerber5,13, Nada Kawar14, Ajay P Singh15, Erdem D Tabdanov16, Nikolay V Dokholyan12, Hiroki Kakuta4, Peter W Jurutka17,18, Nina F Schor19, Rachael B Rowswell-Turner1, Rakesh K Singh1, Richard G Moore1. 1. Wilmot Cancer Institute and Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester New York 14624, United States. 2. Department of Pediatrics, University of Rochester Medical Center, Rochester, New York 14642, United States. 3. Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York 14624, United States. 4. Division of Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Kita-ku, Okayama 700-8530, Japan. 5. Division of Surgery and of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14624, United States. 6. Department of Surgery, Division of Surgical Research, Rhode Island Hospital, Alpert Medical School of Brown University, Providence, Rhode Island 02903, United States. 7. Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, New York 14624, United States. 8. Department of Chemistry and Biochemistry, University of Wisconsin Milwaukee, Milwaukee, Wisconsin 53211, United States. 9. Department of Chemistry, Brown University, Providence, Rhode Island 02912, United States. 10. Department of Chemistry, Birla Institute of Technology, Mesra, Ranchi 835215, India. 11. Genomics Core Facility, Wilmot Cancer Center, University of Rochester Medical Center, Rochester, New York 14624, United States. 12. Department of Pharmacology and Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Penn State University, Hershey, Pennsylvania 17036, United States. 13. Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York 16424, United States. 14. Center for Breast Health and Gynecologic Oncology, Mercy Medical Center, 271 Carew Street, Springfield, Massachusetts 01104, United States. 15. Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, New Jersey 08019, United States. 16. CytoMechanobiology Laboratory, Department of Pharmacology, Penn State College of Medicine, Pennsylvania State University, Hershey, Pennsylvania 17036, United States. 17. School of Mathematical and Natural Sciences, Arizona State University, Health Futures Center, Phoenix, Arizona 85054, United States. 18. University of Arizona College of Medicine, Phoenix, Arizona 85004, United States. 19. Departments of Pediatrics, Neurology, and Neuroscience, University of Rochester Medical Center, Rochester, New York 14642, United States.
Abstract
Vitamin-D receptor (VDR) mRNA is overexpressed in neuroblastoma and carcinomas of lung, pancreas, and ovaries and predicts poor prognoses. VDR antagonists may be able to inhibit tumors that overexpress VDR. However, the current antagonists are arduous to synthesize and are only partial antagonists, limiting their use. Here, we show that the VDR antagonist MeTC7 (5), which can be synthesized from 7-dehydrocholesterol (6) in two steps, inhibits VDR selectively, suppresses the viability of cancer cell-lines, and reduces the growth of the spontaneous transgenic TH-MYCN neuroblastoma and xenografts in vivo. The VDR selectivity of 5 against RXRα and PPAR-γ was confirmed, and docking studies using VDR-LBD indicated that 5 induces major changes in the binding motifs, which potentially result in VDR antagonistic effects. These data highlight the therapeutic benefits of targeting VDR for the treatment of malignancies and demonstrate the creation of selective VDR antagonists that are easy to synthesize.
Vitamin-D receptor (VDR) mRNA is overexpressed in neuroblastoma and carcinomas of lung, pancreas, and ovaries and predicts poor prognoses. VDR antagonists may be able to inhibit tumors that overexpress VDR. However, the current antagonists are arduous to synthesize and are only partial antagonists, limiting their use. Here, we show that the VDR antagonist MeTC7 (5), which can be synthesized from 7-dehydrocholesterol (6) in two steps, inhibits VDR selectively, suppresses the viability of cancer cell-lines, and reduces the growth of the spontaneous transgenic TH-MYCN neuroblastoma and xenografts in vivo. The VDR selectivity of 5 against RXRα and PPAR-γ was confirmed, and docking studies using VDR-LBD indicated that 5 induces major changes in the binding motifs, which potentially result in VDR antagonistic effects. These data highlight the therapeutic benefits of targeting VDR for the treatment of malignancies and demonstrate the creation of selective VDR antagonists that are easy to synthesize.
Carcinoma of ovaries
and pancreas, neuroblastoma, and medulloblastoma
remain life-threatening.[1] Analyses of the
cancer patient’s microarray databases demonstrate that Vitamin-D
receptor (VDR) mRNA is overexpressed in the carcinomas of pancreas,
ovaries, bladder, glioma, liver, and lungs and in neuroblastoma and
predicts poor prognosis. VDR is also enriched in hyperplastic polyps
and endometriosis and in early stages of tumorigenesis.[2−5] Causes of VDR overexpression in malignancies, polyps, and other
disease states are unclear and require further investigations. VDR,
a class-III nuclear receptor (NR), mediates physiologic actions of
calcitriol (1)[2] (Figure ), the hormonally
active form of Vitamin-D. Calcitriol has been tested in human trials
for the treatment of various malignancies,[6−12] but it induces hypercalcemia, which is an undesirable side effect
in patients.[13]1 is currently
used in the management of plaque psoriasis, hyperparathyroidism, and
nephropathy.[14,15]
Figure 1
Chemical structures of calcitriol (1) and the representative
literature-described VDR antagonists TEI-9647 (2), TEI-9648
(3), and MT19c (4). Chemical structure of
the new VDR antagonist MeTC7 (5).
Chemical structures of calcitriol (1) and the representative
literature-described VDR antagonists TEI-9647 (2), TEI-9648
(3), and MT19c (4). Chemical structure of
the new VDR antagonist MeTC7 (5).Further, in addition to VDR, RXRα, the heterodimerization
partner, which is necessary for DNA binding and recruitment of coregulators,
is altered in malignancies and predicts poor prognosis.[16,17] Similarly, Importin-4, essential for nuclear internalization of
VDR, is aberrantly altered in malignancies and exhibits poor prognosis.[18] Furthermore, VDR was shown to induce MYCN overexpression.[19] MYCN is overexpressed in over 70% of the malignancies.[20] In addition, our ongoing studies and published
literature show that Vitamin-D/VDR upregulates PD-L1 in cancer cells.[21] Therefore, we postulate that a VDR antagonist
is needed to block tumorigenesis orchestrated by aberrant VDR and
the associated signaling nodes VDR/RXRα/Importin-4, VDR/MYCN,
and VDR/PD-L1.Progress in inhibiting VDR has remained hampered
by the unavailability
of pharmacologically pure VDR antagonists.[22,23] Currently known VDR antagonists can exhibit residual agonistic effects,[22,23] and their therapeutic effects have yet to be evaluated in animal
models for malignancies. In addition, the synthesis of the literature-described
VDR antagonists including TEI-9647 (2) and TEI-9648 (3) (Figure ) requires multiple synthesis steps and is challenging. To overcome
these problems, we have attempted to develop easily synthesized VDR
antagonists.[24] In this context, we had
previously reported MT19c (4) (Figure ) as a new class of VDR antagonists that
actually showed very strong antitumor activity in animal models.[25] However, the low VDR antagonist activity of 4 remained an issue.In this report, we describe our
efforts to identify a novel VDR
antagonist MeTC7 (5). 5 can be synthesized
from 7-dehydrocholesterol (7DHC) (6) in two steps. We
investigate the VDR selectivity of 5 and perform in silico studies to understand how 5 affects
the VDR-ligand-binding domain (VDR-LBD) versus calcitriol. In vitro and in vivo experiments using 5 were performed to understand the effect of VDR inhibition
on RXRα and Importin-4 and MYCN expression, the critical VDR
downstream signaling nodes, and to examine its effects on the growth
of ovarian cancer, neuroblastoma, pancreatic cancer, and medulloblastoma
cells. Based on the described role of VDR in MYCN’s expression
in neuroblastoma,[19] we examine the effects
of 5 treatment on the growth of spontaneous neuroblastoma
using a homozygous tyrosine hydroxylase (TH)-MYCN transgenic model[26] and investigate its effects on the population
of hematopoietic cells as a measure of off-target effects. Our studies
show that 5 is a selective VDR antagonist endowed with
promising antitumor effects against xenograft and transgenic spontaneous
tumor models.
Results
Molecular Design and Synthesis
of MeTC7 (5)
Our approach of developing a novel
VDR antagonist pharmacophore,
of which MT19c (4)[24,25] is a previously described
derivative, involves heterocyclizing the biological activity-endowed
secosteroidal scaffolds (Vitamin-D2/D3 and ergocalciferol[24,25]) via Diels–Alder reactions with dienophiles (MTAD, PTAD)
to (1) disable interactions with 1-α hydroxylase, which pivots
the classical Vitamin-D signaling including calcium regulations; and
(2) convert the purely carbonaceous scaffold to heteroatom-rich druglike
pharmacophores carrying balanced charge/lipophilicity ratios. This
strategy generates unique heterocycle-fused conformationally constrained
novel pharmacophores in a short-path and atom-economy manner that
can be variously derivatized further to generate bioactive compounds
that are antagonists to VDR, are void of residual agonistic effects,
and are highly nuclear receptor-selective. Our strategy differs from
the one followed for the development of TEI-9647 (2)
and TEI-9648 (3), which carry the Michael acceptor lactone
ring in their side chains keeping the A-ring unaltered. Probably,
residual VDR agonistic effects in 2 and 3 arise because the A-ring is accessible for interactions with 1-α
hydroxylase; for similar reasons, 2 and 3 may also exhibit hypercalcemia if administered in animals. To improve
upon the weak VDR antagonist activity of 4, we derivatized
7DHC (6) to build our new pharmacophore and MeTC7 (5) as the key derivative. 5 was designed to carry
out additional rigidity in the backbone structure compared to Vitamin-D2/D3
and ergocalciferol.MeTC7 (5) was synthesized by
the method shown in Scheme . 7DHC (6) was reacted with N-methyl-1,2-4-triazolinedione (MTAD) in dichloromethane (DCM) at
0 °C to afford 7 at 52% yield. Then, 7 was reacted with bromoacetic acid in the presence of N,N′-dicyclohexylcarbodiimide (DCC) and 4-dimethylaminopyridine
(DMAP) in anhydrous dichloromethane, and the reaction mixture was
purified by a preparative thin-layer chromatography plate to give 5 at 67% yield. Characterization data for 5 and 7 are shown in Figure S1.
Scheme 1
Reagents
and Conditions. (a) MTAD, DCM, 0 °C; (b) Bromoacetic
Acid, DCC, DCM, 0 °C to rt
MeTC7 (5): An NR-Selective VDR Antagonist
MeTC7
(5) showed potent VDR inhibition (IC50 = 2.9 ±
0.1 μM) (Figure a, left) in a fluorescence polarization (FP) assay performed using
VDR-LBD, SRC2-3 Alexa Fluor 647 and 10 nM of 1.[27,28] 7-Dehydrocholesterol (7DHC, 6) and 7DHC-adduct (7) did not inhibit VDR (IC50 > 100 μM).
Fluorescence
polarization studies showed that 5 is void of any VDR
agonistic activity (Figure a, right). In a cell-based transactivation assay, 5 inhibits VDR transactivation in the concentration range of (IC50 = 20.8 + 8.3 μM) (Figure b). 6 and 7 did
not inhibit VDR transactivation (IC50 > 100 μM)
(Figure b). Since
lack of
NR selectivity is a major challenge in developing NR modulators,[29] next, we investigate whether 5 binds
RXRα, the heterodimeric binding partner of VDR. Fluorescence
polarization assay[30] showed that 5 treatment does not bind RXRα, while Bexarotene (IC50 = 3.74 μM) and 9-cis-retinoic acid
(IC50 = 3.45 μM) showed potent binding (Figure c). Similarly, 5 did not show agonistic or antagonistic effects against PPARγ
(Figure d), another
NR, until the tested doses of 100 μM.
Figure 2
Pharmacologic characterizations
of MeTC7 (5). (a)
Fluorescence polarization assay showing VDR inhibition by 5 (left) without induction of agonistic effects (right). (b) 5 inhibited VDR transactivation in a HEK293 cell-based assay.
(c) 5 did not bind to RXRα. (d) 5 did
not exhibit agonistic or antagonistic effects against PPAR-γ.
Pharmacologic characterizations
of MeTC7 (5). (a)
Fluorescence polarization assay showing VDR inhibition by 5 (left) without induction of agonistic effects (right). (b) 5 inhibited VDR transactivation in a HEK293 cell-based assay.
(c) 5 did not bind to RXRα. (d) 5 did
not exhibit agonistic or antagonistic effects against PPAR-γ.
MeTC7 (5) Disrupts the VDR-Ligand-Binding
Domain In Silico
To elucidate the structural
mechanisms
forming antagonistic attributes of 5, in silico studies are performed to determine the interactions of 5 with VDR-ligand-binding domain (VDR-LBD) residues. The crystal structure
of VDR-LBD (1DB1) cocrystallized with 2-α-(3-hydroxy-1-propyl)
calcitriol[31] is used for docking studies. 1 is visualized to consist of a ring-A, a conjugated linker,
ring C, and ring D along with a flexible chain (Figure a, left). The simultaneous interactions mediated
by C1, C3, and C25-hydroxyl groups are crucial for the super agonistic
behavior of 1.[31] Synchronized
interaction is possible only if the correct spacing exists between
the hydroxyl groups, which is achieved by proper folding within the
molecular structure of 1 to favor the correct orientation
of the hydroxyl group. Structurally, 5 (Figure a, right) is much larger in
size and is a highly conformationally rigid system compared to calcitriol.
Three-dimensional (3D) binding of 5 (green) in LBD (brown)
of VDR (white surface) is shown by the surface diagram and overlaid
with 1 (yellow) in Figure b. Binding interactions of 5 with VDR-LBD
are shown in Figure b. An overlaid superposition for 1 and 5 is shown in Figure c. To handle this large and rigid molecule, the induced-fit (IF)
docking strategy[32−35] was implemented to reveal the possible binding modes of 5 with VDR-LBD. 1 shows the involvement of the −OH
group in H-bonding with VDR residues (Ser278 and His305) (Figure d). Binding of 5 shows the recruitment of C–H...π, C–H...O,
and H-bonding with VDR-LBD active site residues Trp286, Tyr147, Asp144,
and Ser237 (Figure e) due to the major changes in the binding motifs (M1–M4),
which potentially result in an antagonistic effect.[32] The shortening and removal of the C25-OH group near the
M1 motif in 5 cause the loss of interaction with His305.
His305 along with Arg274 residues play a crucial role in determining
the agonistic behavior of 1 (Figure d). The loss of the conjugated linker system
in 5 followed by the shortening distance (2.6 Å)
in comparison to 1 (3.7 Å) between rings A and C
appears to induce the antagonistic behavior in 5. Thus,
the triazolidine-dione moiety and the hydrophobic N-methyl group occupy a similar spatial position within VDR as was
placed by the hydrophilic C1-OH of calcitriol. Thus, 5 loses H-bonding with Arg274; however, carbonyl group’s interaction
with Ser237 supports the strong binding of 5 (Figure e,f). Further, the
conjugated diene linker of 1 enters tightly into the
hydrophobic cavity of the VDR and agonizes the system[31] (Figure d). In contrast, the triazoline-3,5-dione moiety of 5 increases the volume of this VDR-LBD cavity and locks the conformational
freedom of VDR due to the deeper binding (Figure e,f). Further, interactions of Tyr143 and
Arg274 with
1,3-OH of the A-ring of 1 (A-ring subsite) were lost
when 5 bonded with VDR-LBD (Figure e,f). 5 interacts with a strong
H-bonding with a backbone of Asp144 and Ser237 in the ring-A subsite
(Figure e). 5 utilizes only hydrophobic residues in the 25-OH-subsite,
whereas 1 uses a hydrophilic interaction (Ser306 and
His305) as well. 5 interacts with Leu230, Ala303, and
Val380 through favorable van der Waal’s contacts shown by a
mesh surface diagram (green for LBD residues and yellow for 5). The videos (1 and 2) exhibit
the interactions of 1 and 5 with VDR-LBD
residues.
Figure 3
Putative 3D-binding modes of 5 in VDR-LBD with noncovalent
interactions. (a) For in silico binding to VDR-LBD, 1 and 5 were marked into four structurally relevant
zones (M1–M4). Binding motifs (M) in 1 and 5 are highlighted by red dotted circles. The bond connection
between atoms 9 and 10 of 5 (red) is shown far to get
better clarity of the M2 motif. However, atoms 9 and 10 are close
to the normal C–C bond in 5 in which A and B rings
fuse together to form the conformationally rigid ring system. (b)
Surface view with the VDR-active site showing the binding mode overlay
of 1 (yellow) (movie 1) and 5 (green) in
LBD (brown) (movie 2). (c) Superposition overlay of 1 (yellow, cocrystal structure) and 5 (green) into the
VDR-ligand-binding domain (LBD). (d) 3D-binding mode of 1 (crystallographic structure) showing major noncovalent interactions
with VDR-LBD. (e) 3D-binding mode of 5 showing major
noncovalent interactions such as C–H...π, C–H...O,
and H-bonding. (f) 5 interacts with Leu230, Ala303, and
Val380 through favorable van der Waal contacts shown by the mesh surface
diagram (green for LBD residues and yellow for 5).
Putative 3D-binding modes of 5 in VDR-LBD with noncovalent
interactions. (a) For in silico binding to VDR-LBD, 1 and 5 were marked into four structurally relevant
zones (M1–M4). Binding motifs (M) in 1 and 5 are highlighted by red dotted circles. The bond connection
between atoms 9 and 10 of 5 (red) is shown far to get
better clarity of the M2 motif. However, atoms 9 and 10 are close
to the normal C–C bond in 5 in which A and B rings
fuse together to form the conformationally rigid ring system. (b)
Surface view with the VDR-active site showing the binding mode overlay
of 1 (yellow) (movie 1) and 5 (green) in
LBD (brown) (movie 2). (c) Superposition overlay of 1 (yellow, cocrystal structure) and 5 (green) into the
VDR-ligand-binding domain (LBD). (d) 3D-binding mode of 1 (crystallographic structure) showing major noncovalent interactions
with VDR-LBD. (e) 3D-binding mode of 5 showing major
noncovalent interactions such as C–H...π, C–H...O,
and H-bonding. (f) 5 interacts with Leu230, Ala303, and
Val380 through favorable van der Waal contacts shown by the mesh surface
diagram (green for LBD residues and yellow for 5).
VDR mRNA Overexpression
Showed Poor Prognosis in Pancreatic,
Lung, Breast, Liver, Ovarian, Cervical, And Bladder Cancers and in
Glioma and Neuroblastoma Patients
Kaplan–Meier survival
analyses at the system-selected expression cutoffs (microarray data
and tools available at R2-Genomics Analysis and Visualization Platform https://hgserver1.amc.nl/cgi-bin/r2/main.cgi) showed that VDR mRNA enrichments correlated with increased mortalities
in lung (p = 0.0043) and pancreatic cancer patients
(p = 0.004), neuroblastoma patients (p = 1.7 × 10–5), breast cancer (p = 0.011), glioma (p = 0.0048), cervical cancer
(p = 0.055), liver cancer (p = 0.048),
ovarian cancer (p = 0.09), and bladder cancer (p = 0.05) patients (Figure S2A–I). The effect of disease stages on the association of VDR mRNA enrichments
with decreased mortalities in cancer patients was analyzed. Among
stage IIa/IIb pancreatic cancer patients, VDR mRNA enrichment was
strongly associated with increased mortalities (data not shown). The
identity of microarray databases analyzed is described in the Materials
and Methods section.
MeTC7 (5) Suppresses RXRα
and Importin-4
Expressions in the Ovarian Cancer Cell-Line
Screening a panel
of SKOV-3, OVCAR-3, OVCAR-8, CaOV-3, IGROV-1, and 2008 ovarian cancer
cell-lines by immunoblotting identifies 2008 and SKOV-3 cells as the
high VDR expressor cell-lines suitable for VDR/5 signaling
studies (Figure a,
upper). The expression of α-tubulin as the loading control in
these cells is shown (Figure a, lower). 5 inhibited the expression of RXRα
in 2008 ovarian cancer cell-lines (Figure b). RXRα expression correlates with
poor prognosis in ovarian cancer patients (Figure S3). Importin-4 mediates nuclear translocation of VDR.[36] VDR showed colocalization with Importin-4 in
ovarian cancer tissues (Figure S4a) and
indicated poor prognosis in neuroblastoma (Figure S4b). 5 (250 nM, 12 h) treatment suppressed Importin-4
expression in 2008 cell-lines (Figure c).
Figure 4
(a) VDR expression in a panel of 2008, IGROV-1, CaOV-3,
OVCAR-3,
OVCAR-8, and SKOV-3 ovarian cancer cell-lines. Expression of α-tubulin
as a loading control is shown. Normalized western blot densitometric
data are shown numerically. (b) Treatment with 5 (250
nM, 18 h) reduces the expression of RXR-α in 2008 cells. Expression
of GAPDH as a loading control is shown. Normalized western blot densitometric
data is shown numerically. (c) Treatment with 5 (250
nM, 18 h) reduces the expression of Importin-4 in 2008 cells. Expression
of α-tubulin as a loading control is shown. Normalized western
blot densitometric data are shown numerically. (d) 5 reduces
the viability of SKOV-3, IGROV-1, CAOV-3, OVCAR-3, OVCAR-8, and 2008
ovarian cancer cell-lines during 24 h of treatment. Data + standard
error of the mean (SEM) are expressed as the mean of the triplicate
determinations as the % of absorbance by dimethylsulfoxide (DMSO)-treated
cells set equal to 100%. (e) Treatment with 5 (250 nM,
18 h) increases cleaved PARP1 expression in 2008 cells. Expression
of α-tubulin as a loading control is shown. Normalized western
blot densitometric data are shown numerically. (f-left) 5 (n = 10, 10 mg/kg. M-F, IP) treatment reduces the
growth of ES2 ovarian carcinoma-derived xenografts in NSG mice compared
to the vehicle (n = 10). At the baseline, the 5 group has a statistically larger volume to begin with compared
to the vehicle (p = 0.02). At the second and third
time points, the 5 group has a statistically smaller
tumor volume compared to the controls (p = 0.0303
and 0.0119, respectively). At the final time point, there is no statistical
difference between the treatment groups with respect to the tumor
volume. (f-right): There is no statistical difference in animal weights
across time between treatment groups (p = 0.5437).
(a) VDR expression in a panel of 2008, IGROV-1, CaOV-3,
OVCAR-3,
OVCAR-8, and SKOV-3 ovarian cancer cell-lines. Expression of α-tubulin
as a loading control is shown. Normalized western blot densitometric
data are shown numerically. (b) Treatment with 5 (250
nM, 18 h) reduces the expression of RXR-α in 2008 cells. Expression
of GAPDH as a loading control is shown. Normalized western blot densitometric
data is shown numerically. (c) Treatment with 5 (250
nM, 18 h) reduces the expression of Importin-4 in 2008 cells. Expression
of α-tubulin as a loading control is shown. Normalized western
blot densitometric data are shown numerically. (d) 5 reduces
the viability of SKOV-3, IGROV-1, CAOV-3, OVCAR-3, OVCAR-8, and 2008
ovarian cancer cell-lines during 24 h of treatment. Data + standard
error of the mean (SEM) are expressed as the mean of the triplicate
determinations as the % of absorbance by dimethylsulfoxide (DMSO)-treated
cells set equal to 100%. (e) Treatment with 5 (250 nM,
18 h) increases cleaved PARP1 expression in 2008 cells. Expression
of α-tubulin as a loading control is shown. Normalized western
blot densitometric data are shown numerically. (f-left) 5 (n = 10, 10 mg/kg. M-F, IP) treatment reduces the
growth of ES2 ovarian carcinoma-derived xenografts in NSG mice compared
to the vehicle (n = 10). At the baseline, the 5 group has a statistically larger volume to begin with compared
to the vehicle (p = 0.02). At the second and third
time points, the 5 group has a statistically smaller
tumor volume compared to the controls (p = 0.0303
and 0.0119, respectively). At the final time point, there is no statistical
difference between the treatment groups with respect to the tumor
volume. (f-right): There is no statistical difference in animal weights
across time between treatment groups (p = 0.5437).
MeTC7 (5) Inhibits the Viability
of Ovarian Cancer
Cells and Induces PARP1 Cleavage
A panel of SKOV-3, OVCAR-3,
OVCAR-8, IGROV-1, CAOV-3, and 2008 ovarian cancer cell-lines showed
a dose-dependent response to 5 treatment (Figure d). OVCAR-8, 2008, SKOV-3,
CAOV-3, and IGROV-1 cells were sensitive to 5 treatment,
while OVCAR-3 was relatively resistant against 5 treatment.
Cleaved PARP1 expression in 2008 cells upon treatment with 5 was observed (Figure e).
MeTC7 (5) Reduces the Growth of Xenografts Derived
from Ovarian Cancer, Medulloblastoma, and Pancreatic Cancer Cells
MeTC7 (5) treatment slowed the growth of the clear-cell
ovarian carcinoma cell-line ES2-derived xenografts growing in NSG
mice despite starting with significantly higher basal tumor sizes
in the treatment group (p < 0.05 for the first
two treatments, Figure f, left). The difference between tumor sizes in the control and treatment
groups at the final treatment is not statistically significant. The
difference between the animal weights in the treatment and control
groups is not statistically significant (Figure f, right). While ovarian cancer cell-lines
show sensitivity to 5 treatment, HepG2 (hepatocellular
carcinoma) cell-lines and HEK293T (immortalized human embryonic kidney,
HEK, cell-line) exhibit resistance to 5 treatment until
100 μM concentrations (Figure a,b). In addition to ES2, 5 treatment
reduces the growth of SKOV-3 serous ovarian cancer cell-derived xenograft
tumors (p = 0.02, Figure c). The rate of weight gain was significantly
higher in the 5 group than in the control group over
the time period (p = 0.005) (Figure d). Similar results were obtained using percentage
change in weights relative to the baseline. The Kaplan–Meier
analysis showed statistically greater survival prospects for the treatment
groups (Figure e).
Immunohistochemistry (IHC) shows reduced VDR expression in a randomly
selected 5-treated SKOV-3 xenograft tumor in
vivo (Figure S5). 5 treatment also reduces the rate of growth of medulloblastoma D283
cell-derived xenografts in NSG mice, compared to the control (p = 0.032, Figure f). Harvested tumors post euthanasia showed a tendency to
form smaller tumors in the treatment group than in the control (p = 0.093, Figure f, inset). Further, 5 treatment reduces the %
change in the growth of PANC-1 (p = 0.036 on day
12) and BXPC-3 (p = 0.0063 on day 18) pancreatic
cancer cell-derived xenografts in NSG mice (Figure g,h).
Figure 5
Selective antiproliferative functions
and antitumor activities
of MeTC7 (5) in xenograft animal models. (a) 5 does not inhibit the proliferation of HepG2 cells in the dose ranges
tested. (b) 5 does not inhibit the proliferation of HEK293T
cells in the dose ranges tested. (c) 5 (10 mg/kg, M-F,
IP) treatment reduces the growth of SKOV-3 cell-derived xenografts
in nude mice. (d) Animal weights of the mice undergoing treatment
with vehicle or 5 increase during the period of observations.
(e) The control group witnessed a death on day 25, indicated by the
drop in the line. The dashed line for 5 indicates 100%
survival. (f-left) 5 (10 mg/kg, M-F, IP) treatment reduces
the growth of D283 medulloblastoma cell-derived xenografts in NSG
mice. % change in average tumor volume in the treatment group was
lower compared to the vehicle on day 12. (f-right) Mice were euthanized,
and tumors were extracted and weighed. The tumor weights in the treatment
group show a tendency to be smaller (unpaired t-test, p = 0.093). (g, h) 5 (10 mg/kg, M-F, IP) treatment
reduces % change in the growth of PANC-1 and BXPC-3 cell-derived xenografts
growing in NSG mice (PANC-1, day 12, p = 0.0361)
and (BXPC-3, day 18, p = 0.0063). Statistical differences
between the groups were analyzed using GraphPrism.
Selective antiproliferative functions
and antitumor activities
of MeTC7 (5) in xenograft animal models. (a) 5 does not inhibit the proliferation of HepG2 cells in the dose ranges
tested. (b) 5 does not inhibit the proliferation of HEK293T
cells in the dose ranges tested. (c) 5 (10 mg/kg, M-F,
IP) treatment reduces the growth of SKOV-3 cell-derived xenografts
in nude mice. (d) Animal weights of the mice undergoing treatment
with vehicle or 5 increase during the period of observations.
(e) The control group witnessed a death on day 25, indicated by the
drop in the line. The dashed line for 5 indicates 100%
survival. (f-left) 5 (10 mg/kg, M-F, IP) treatment reduces
the growth of D283 medulloblastoma cell-derived xenografts in NSG
mice. % change in average tumor volume in the treatment group was
lower compared to the vehicle on day 12. (f-right) Mice were euthanized,
and tumors were extracted and weighed. The tumor weights in the treatment
group show a tendency to be smaller (unpaired t-test, p = 0.093). (g, h) 5 (10 mg/kg, M-F, IP) treatment
reduces % change in the growth of PANC-1 and BXPC-3 cell-derived xenografts
growing in NSG mice (PANC-1, day 12, p = 0.0361)
and (BXPC-3, day 18, p = 0.0063). Statistical differences
between the groups were analyzed using GraphPrism.
MeTC7 (5) Inhibits the Growth of Neuroblastoma
Cells and Their Xenografts
VDR mRNA overexpression is prognostic
in neuroblastoma (Figure S2c). 5 treatment suppresses the viability of neuroblastoma cell-lines Lan-5,
SK-N-AS, SHEP-1, BE(2)C, Kelly, and SH-SY5Y dose-dependently (Figure a). Immunoblotting
shows that VDR and MYCN are expressed in neuroblastoma cell-lines
(Figure b). Lan-5,
Kelly, and BE(2)-C express both VDR and MYCN, whereas SK-N-AS and
SHEP-1 are VDR-positive but MYCN-negative. 5 treatment
reduces VDR and MYCN expressions in BE(2)C cell-lines (Figure c). In vivo, 5 (10 mg/kg, M-F, IP) treatment reduces the growth
rate of the SH-SY5Y xenograft as measured on day 5 (p = 0.018) and day 10 (p = 0.012) in NSG mice (Figure d, upper). Similarly,
% change in BE(2)C tumor volumes of 5-treated mice is
significantly lower than in vehicle-treated NSG mice (day 5, p = 0.0052; day 8, p = 0.0034) (Figure d, lower and Figure S6).
Figure 6
(a) MeTC7 (5) treatment for 48 h decreases the viability
of LAN-5, SK-N-AS, SHEP-1, BE(2)-C, Kelly, and SH-SY5Y neuroblastoma
cell-lines dose-dependently. Data represent ±SEM. (b) Immunoblot
analysis shows relative VDR and MYCN levels in LAN-5, SK-N-AS, SHEP-1,
BE(2)-C, Kelly, and SH-SY5Y cell-lines. Expression of β-actin
as the protein loading control is shown. (c) 5 (1 μM,
24 h) treatment reduces VDR, MYCN, and cyclin-D expressions in the
BE(2)-C cell-line. Expression of β-actin or α-tubulin
as a protein loading control is shown. Normalized western blot densitometric
data are shown numerically. (d-upper) 5 (10 mg/kg, M-F,
IP) treatment reduced the growth rate of SH-SY5Y tumors growing in
NSG mice. T-test analysis showed that % changes in
tumor volumes are lower in the treatment group (day 5: p = 0.0176; day 10: p = 0.0102) than in the control
(d-lower). 5 (10 mg/kg, M-F, IP) treatment reduced the
growth rate of BE(2)-C xenograft tumors growing in NSG mice. T-test analysis showed that % changes in tumor volumes are
lower in the treatment group (p = 0.0057 on day 5; p = 0.0034 on day 8) than in the control.
(a) MeTC7 (5) treatment for 48 h decreases the viability
of LAN-5, SK-N-AS, SHEP-1, BE(2)-C, Kelly, and SH-SY5Y neuroblastoma
cell-lines dose-dependently. Data represent ±SEM. (b) Immunoblot
analysis shows relative VDR and MYCN levels in LAN-5, SK-N-AS, SHEP-1,
BE(2)-C, Kelly, and SH-SY5Y cell-lines. Expression of β-actin
as the protein loading control is shown. (c) 5 (1 μM,
24 h) treatment reduces VDR, MYCN, and cyclin-D expressions in the
BE(2)-C cell-line. Expression of β-actin or α-tubulin
as a protein loading control is shown. Normalized western blot densitometric
data are shown numerically. (d-upper) 5 (10 mg/kg, M-F,
IP) treatment reduced the growth rate of SH-SY5Y tumors growing in
NSG mice. T-test analysis showed that % changes in
tumor volumes are lower in the treatment group (day 5: p = 0.0176; day 10: p = 0.0102) than in the control
(d-lower). 5 (10 mg/kg, M-F, IP) treatment reduced the
growth rate of BE(2)-C xenograft tumors growing in NSG mice. T-test analysis showed that % changes in tumor volumes are
lower in the treatment group (p = 0.0057 on day 5; p = 0.0034 on day 8) than in the control.
MeTC7 (5) Reduces MYCN Expression and Blocks the
Growth of TH-MYCN Transgene-Driven Spontaneous Neuroblastoma
MYCN overexpression predicts poor overall and event-free survival
in patients with ovarian cancer and neuroblastoma[37] (Figure S7) and other malignancies.[38−45] We investigate whether targeting VDR by 5 can inhibit
MYCN expression and, in turn, control the MYCN-orchestrated neuroblastoma
growth. Prior to testing antineuroblastoma activities of 5 using the well-established TH-MYCN+/+ transgenic mice, which spontaneously
develop neuroblastoma and recapitulate human neuroblastoma disease
closely,[26,46] we establish via immunohistochemistry that
celiac ganglia harvested from homozygous TH-MYCN+/+ mice exhibit positive
expressions of VDR, MYCN, and TH antigens (Figure a–c). Similarly, an MTS cell viability
assay run on the tumor cells derived from three independent homozygous
TH-MYCN+/+ mice shows reduced viability of the spheroid cell’s
viability upon 5 treatment (Figure d upper). Images of the tumor spheroids treated
with vehicle or 5 are shown (Figure d lower).
Figure 7
Immunohistochemistry in the tissues from
homozygous TH-MYCN mice
showed strong expressions of VDR, MYCN, and tyrosine hydroxylase (TH).
(a) Compared to wild-type, celiac ganglia isolated from the TH-MYCN+/+
mice (postnatal days 1, 7, and 14) showed increased VDR expression.
(b) Positive and negative controls used for IHC in postnatal mice.
Serial section stained with normal immunoglobulin G (IgG) was used
as a negative control for IHC staining. The expression of VDR in the
pancreas of TH-MYCN mice was used as a positive control to verify
the VDR antibody retrieval method and staining in the same sagittal
section as the celiac ganglia. (c) Advanced TH-MYCN tumor isolated
from a 5.5-week old mouse showed VDR, MYCN, and TH expressions in
the tumors. (d-top) 5 treatment reduces the viability
of TH-MYCN tumor cells isolated from the three independent mice (tags:
1, 6, and 8) during three days of treatment. Data represents ±SEM.
(d-bottom) 5 treatment dose-dependently decreases the
viability of murine neuroblastoma tumor spheres isolated from TH-MYCN
mouse (tag: 1). Representative images of tumor spheres from the same
cell viability experiment. Images were captured using an Olympus BX41
light microscope with an Olympus DP70 camera and CellSens digital
software.
Immunohistochemistry in the tissues from
homozygous TH-MYCN mice
showed strong expressions of VDR, MYCN, and tyrosine hydroxylase (TH).
(a) Compared to wild-type, celiac ganglia isolated from the TH-MYCN+/+
mice (postnatal days 1, 7, and 14) showed increased VDR expression.
(b) Positive and negative controls used for IHC in postnatal mice.
Serial section stained with normal immunoglobulin G (IgG) was used
as a negative control for IHC staining. The expression of VDR in the
pancreas of TH-MYCN mice was used as a positive control to verify
the VDR antibody retrieval method and staining in the same sagittal
section as the celiac ganglia. (c) Advanced TH-MYCN tumor isolated
from a 5.5-week old mouse showed VDR, MYCN, and TH expressions in
the tumors. (d-top) 5 treatment reduces the viability
of TH-MYCN tumor cells isolated from the three independent mice (tags:
1, 6, and 8) during three days of treatment. Data represents ±SEM.
(d-bottom) 5 treatment dose-dependently decreases the
viability of murine neuroblastoma tumor spheres isolated from TH-MYCN
mouse (tag: 1). Representative images of tumor spheres from the same
cell viability experiment. Images were captured using an Olympus BX41
light microscope with an Olympus DP70 camera and CellSens digital
software.Next, we investigate the effect
of 5 against the growth
of tumors in TH-MYCN+/+ transgenic mice. The response of the drug
in alive mice was monitored using ultrasound. Images were reconstructed
to capture the 3D tumor volume using inbuilt software. 5 reduces the tumor growth compared to the vehicle group (Figure a). Analysis of the
estimated tumor volumes (p = 0.033) (Figure b) and harvested tumor weights
(p = 0.053) (Figure c) exhibits the reduced tumor burden upon treatment
with 5.
Figure 8
(a) Antitumor activity of MeTC7 (5) in the
TH-MYCN
model of spontaneous neuroblastoma. Compared to the vehicle (upper, n = 7), 5 (lower, 10 mg/kg, daily IP, n = 8) treatment reduced the growth of TH-MYCN-driven neuroblastoma
in transgenic mice. Tumor burden was measured by an ultrasound imaging
instrument. (b) 5 treatment dose-dependently reduced
the TH-MYCN tumor volume at the end of the treatment. (c) Mice were
euthanized, and extracted tumors were weighed. Tumor sizes and weights
in the control versus treated groups were compared using a T-test.
(a) Antitumor activity of MeTC7 (5) in the
TH-MYCN
model of spontaneous neuroblastoma. Compared to the vehicle (upper, n = 7), 5 (lower, 10 mg/kg, daily IP, n = 8) treatment reduced the growth of TH-MYCN-driven neuroblastoma
in transgenic mice. Tumor burden was measured by an ultrasound imaging
instrument. (b) 5 treatment dose-dependently reduced
the TH-MYCN tumor volume at the end of the treatment. (c) Mice were
euthanized, and extracted tumors were weighed. Tumor sizes and weights
in the control versus treated groups were compared using a T-test.
MeTC7 (5)
Does Not Exhibit Off-Target Effects
Ruling out whether 5 treatment exerts off-target effects
against hematopoietic cells, the common side effects of chemotherapies,
the population of various CD45+ cell subtypes isolated from TH-MYCN
mice was analyzed by flow cytometry using characterized markers. The
analysis shows that 5 treatment does not affect populations
of CD45+, CD4+, CD8+, macrophages, patrolling monocytes/DC+, and CD11b+
cells compared to the control (Figure S8).
Proposed Mechanism of Action of MeTC7 against VDR
Based
on the data described in the report above, the cartoon (Figure ) summarizes the putative mechanism
of action of MeTC7 against VDR.
Figure 9
Cartoon outlining the putative mechanism
of action of MeTC7 against
VDR.
Cartoon outlining the putative mechanism
of action of MeTC7 against
VDR.
Discussion and Conclusions
Compared to agonists, the development of VDR antagonists has lagged
behind.[23,24] Following our previously described approach
of the Diels–Alder modification of secosteroidal scaffolds
that generated earlier classes of VDR antagonists [MT19c (4) and PT19c],[24,25,47]5 was synthesized. 5 showed superior VDR
inhibition than 4 and PT19c without incurring any agonistic
activity and exhibited noteworthy NR selectivity against PPAR-γ
and RXRα, the two closely related members of the VDR-NR family
(Figure c,d). In silico studies show that heterocyclization of 6 by 1-methyl-1,2,4-triazolinedione instills enormous structural rigidity
in 5, which disrupts VDR-LBD. It has been shown that
upon binding to the LBD of VDR, the antagonist complex converts into
a transcriptionally inactive form.[35] Loss
of TYR143, HIS305, and ARG274 interactions, which are critical for
hydrogen-binding interactions of 1, may account for the
antagonistic attributes of 5, similar to the effects
of mutations at HIS305 along with ARG274 residues, which was shown
to generate antagonistic effects[35] (Figure e–g). Structurally, 5 differs from the literature[23,24]-described
VDR antagonists TEI-9647
(2) and TEI-9648 (3). 5 carries
a highly constrained heteroatom-rich-tetracyclic ring system derived
from the conjugated diene system of 6, the precursor
of Vitamin-D, whereas 2 and 3 retain the
classic Vitamin-D scaffold but have the C25 carbon converted into
a five-membered lactone ring. 5 sports an alkylating
bromoacetoxy functionality, whereas a Michael acceptor ring likely
forms the basis of 2 and 3 functions.The rationale to identify a VDR antagonist such as MeTC7 (5) and investigate its antitumor effects stemmed from (1)
VDR mRNA overexpression in ovarian, breast, lung, pancreatic, neuroblastoma,
and bladder malignancies and association with poor prognosis; (2)
the role of Vitamin-D/VDR in increased immune checkpoint inhibitor
ligand PD-L1 expression in head-neck cancer, leukemia,[23] and ovarian cancer cells (unpublished data);
and (3) VDR’s role in expression of MYCN,[19] an oncogene dysregulated in ∼70% of human cancers.[37−45] Further, RXRα and Importin-4, the critical downstream signaling
nodes of VDR, are also shown to be altered in malignant cells and
predict poor prognoses in malignancies[16−18] (Figures S3 and S4).The anticancer effects of VDR antagonists
are not well understood.[22,23,48,49] Our study shows that ovarian
cancer, neuroblastoma, medulloblastoma,
and pancreatic cancers respond to 5 treatment in vitro and in vivo (Figures d,f, 5c–h, and 6a,d). In vivo, animals treated with 5 did not experience detrimental
effects on their weights (Figures f and 5d) or general demeanors. 5 actions are VDR-dependent, as stably VDR knockdown SKOV-3
cells show diminished responses compared to stably VDR overexpressor
SKOV-3 cell-lines, which respond better than their null vector or
wild-type cell counterparts (data not shown). Importantly, 5 reduced VDR expression in the SKOV-3 cell-line-derived xenografts,
demonstrating target engagement in vivo (Figure S5). Not only xenograft tumors but also
syngeneic TH-MYCN murine transgenic spontaneous neuroblastoma that
more closely recapitulates human neuroblastoma disease showed reduction
in tumor growth (Figure ). In terms of signaling, 5 reduced the expression of
RXRα and Importin-4, the two pivotal nodes of the VDR signaling
pathway (Figure b,c).
The probable mechanism of action of MeTC7 is outlined in Figure . Since 5 does not directly inhibit RXRα (Figure c), it is likely that RXRα released
post VDR inhibition is degraded. Decreased expression of RXRα
is therapeutically important because RXRα is prognostic in renal
cancer (p < 0.00056), melanoma (p = 0.034), ovarian cancer (p = 0.0017), endometrial
cancer (p = 0.072), and thyroid cancer (p = 0.015) (www.proteinatlas.org). Similarly, 5 inhibits Importin-4 in 2008 ovarian
cancer cells. Importin-4 executes nuclear internalization of VDR.
VDR and Importin-4 colocalize in ovarian cancer tissues (Figure S4a), and we postulated that targeting
the VDR/Importin-4 axis may be crucial to controlling VDR/Importin-4-orchestrated
malignancies because, similar to VDR, Importin-4 mRNA expression independently
predicts poor prognosis in neuroblastoma (Figure S4b) and hence the need to inhibit it. Further, 5 inhibits MYCN expression in neuroblastoma cells. MYCN expression
is altered in over 70% of human cancers[38−45] and predicts poor prognoses in ovarian cancer (p = 0.0033) and neuroblastoma (Figure S7). MYCN-driven cancers are aggressive and chemoresistant and await
a targeted therapy.[20−22] VDR is a key regulator of MYCN expression,[19] and therefore, targeting the VDR/MYCN axis can
be exploited to control such malignancies. For example, 5 treatment blocked the growth of TH-MYCN transgenic neuroblastoma in vivo and its spheroids in vitro. Next,
we examine the effects of 5 on immune cells in TH-MYCN
mice as a measure of off-target effects because immune cells express
VDR and function calcitriol-dependently. The flow cytometric analysis
of the tumors and immune cells isolated from mice carrying TH-MYCN
tumors that were treated with vehicle/5 showed unaltered
populations of CD45+ CD4+, CD8+,
macrophages, patrolling monocyte, DCs, and CD11b+ cells
in mice (Figure S8), suggesting that VDR
inhibition by 5 spares immune cells, which is notable
because chemotherapies often cause indiscriminate cytotoxicity against
normal hematopoietic cells, imposing life-threatening side effects.Finally, notwithstanding the challenges associated with the currently
known VDR agonists, the functions of VDR and its agonists remain an
ongoing inquiry for cancer treatment. Notably, Sherman et al.[50] showed that as an adjuvant Vitamin-D reprograms
tumor stroma transcriptionally and enables chemotherapeutic responses
in pancreatic ductal adenocarcinoma (PDA). Similarly, while the role
of Vitamin-D/VDR in upregulation of PD-L1 on ovarian cancer (unpublished
data) and leukemia and head and neck cancer cells[23] is concerning in the context of malignancies, there lies
a very promising opportunity to use 1 to convert a cold-tumor
type like PDA and ovarian cancer into a PD-L1-enriched hot-tumor type
that can be better targeted by immune checkpoint antibodies and/or 5.Compound 5 differs significantly from
the previously
reported VDR antagonists in that it can be synthesized in only two
steps from readily available raw materials. This has enabled us to
demonstrate the efficacy of VDR antagonists in vivo. It is anticipated that the data presented in this study will contribute
to the creation of easily synthesized VDR antagonists structurally
similar/dissimilar to 5.
Experimental
Section
Chemistry
Reagents and solvents were purchased from
commercial sources without further purification. The final compounds
were purified by preparative thin-layer chromatography (Analtech #Z513059).
All compounds were >95% pure by HPLC analysis. The progress of
reactions
was monitored by thin-layer chromatography (TLC). NMR spectra were
obtained from a 400 or 600 MHz Bruker spectrometer. Electrospray ionization
mass spectrometry (ESI-MS) was performed on an Agilent 1100 LC-MS
spectrometer. Melting points were determined with a Yanagimoto hot-stage
melting point apparatus and are uncorrected. Purity of 5 was analyzed by a Dionex UltiMate 3000 LC system.
Synthesis
of Adduct (7)
To a solution
of 7DHC (6) (Sigma Aldrich, 300 mg, 0.7 mM) in dichloromethane
was added N-methyl-1,2-4-triazolinedione (87 mg,
0.7 mM) at 0°C. During the following 4–5 h,
the pink color of the reaction medium was discharged. The separated
product (adduct) was filtered, washed with hexane (10 mL × 5),
and dried in vacuum in a desiccator overnight. Weight: 205 mg (52%).
NMR assignments: 1H NMR (600 MHz, DMSO) δ 6.33 (d, J = 8.3 Hz, 1H), 6.23 (dd, J = 8.3, 0.8
Hz, 1H), 4.63 (s, 1H), 4.04 (dq, J = 10.3, 5.3 Hz,
1H), 2.94 (ddd, J = 14.1, 5.0, 1.4 Hz, 1H), 2.78
(s, 3H), 2.46–2.38 (m, 1H), 2.08 (dd, J =
12.4, 6.5 Hz, 1H), 1.98–1.93 (m, 1H), 1.88–1.79 (m,
2H), 1.67 (dd, J = 10.4, 5.6 Hz, 1H), 1.65–1.60
(m, 1H), 1.57–1.50 (m, 2H), 1.53–1.41 (m, 2H), 1.41–1.23
(m, 2H), 1.23–1.06 (m, 6H), 1.05–0.97 (m, 1H), 0.91
(d, J = 6.5 Hz, 3H), 0.85 (d, J =
6.6 Hz, 3H), 0.84 (d, J = 6.6 Hz, 3H), 0.83 (s, 3H),
0.73 (s, 3H). 13C NMR (150 MHz, DMSO) δ 150.02, 147.64,
135.60, 128.01, 65.29, 64.84, 64.03, 54.67, 52.37, 49.14, 43.39, 40.28,
38.88, 37.72, 35.37, 34.67, 34.18, 33.61, 29.80, 27.36, 27.12, 24.64,
23.15, 22.63, 22.42, 22.37, 21.71, 18.71, 17.07, 12.59.
Synthesis
and Characterizations of MeTC7 (5)
To a stirred
solution of bromoacetic acid (36 mg, 0.13 equivalent)
in anhydrous dichloromethane (DCM) maintained in an ice bath was added
DCC (87 mg, 0.16 equivalent) and purged with nitrogen. The reaction
mixture was stirred for 10 min. To the suspension formed was added
adduct (7, 100 mg, 0.2 mM) and stirred. A catalytic amount
of DMAP was also added and stirred overnight, during which the temperature
of the reaction mixture was allowed to rise to room temperature. Dichloromethane
was removed using the Buchi rotavapor, and the crude product obtained
was purified using a preparative thin-layer chromatography plate.
The band containing the product was collected, and the compound was
stripped off the silica gel by washing with MeOH/DCM (9:1). The solvent
was removed using a rotary evaporator, and the compound (5, MeTC7) was collected after drying under a vacuum in a desiccator
as an off-white powder (83 mg, 67%) and stored at −20 °C.
Purity of 5 was analyzed by a Dionex UltiMate 3000 LC
system using Develosil 250 × 4.6 mm 100Diol-5, 5 μm LC
column. A binary solvent system with solvent A (0.1% formic acid in
water) and solvent B (0.1% formic acid in acetonitrile) was used with
a linear gradient of 0% B to 50% B from 0 to 5 min; 50% B to 70% B
from 5 to 7 min; isocratic elution of 70% B from 7 to 8 min; linear
gradient of 70% B to 80% B from 8 to 10 min; 80% B to 85% B from 10
to 15 min; 85% B to 100% B from 15 to 30 min; 100% B to 50% B from
30 to 36 min at a flow rate of 1 mL/min. NMR assignments. 1H NMR (CDCl3, 600 MHz) δ 6.35 (d, J = 8.3 Hz, 1H), 6.14 (d, J = 8.3 Hz, 1H), 5.55 (tt, J = 11.0, 5.4 Hz, 1H), 3.82 (s, 2H), 3.2 (ddd, J = 13.8, 5.1, 1.4 Hz, 1H), 2.95 (s, 3H), 2.55–2.48 (m, 1H),
2.28–2.22 (m, 1H), 2.21–2.16 (m, 1H), 2.12–1.99
(m, 3H), 1.78–1.64 (m, 4H), 1.57–1.47 (m, 2H), 1.47–1.20
(m, 8H), 1.18–1.08 (m, 3H), 1.07–1.02 (m, 1H), 0.95
(s, 3H), 0.92 (d, J = 6.6 Hz, 3H), 0.87 (d, J = 6.6 Hz, 3H), 0.86 (d, J = 6.6 Hz, 3H),
0.77 (s, 3H). 13C NMR (150 MHz, CDCl3) δ
166.20, 150.62, 148.11, 134.72, 129.20, 72.59, 64.87, 64.70, 55.04,
52.79, 49.26, 43.95, 40.92, 39.46, 38.16, 35.86, 35.27, 33.55, 30.65,
28.03, 27.51, 26.19, 25.64, 25.05, 23.69, 23.19, 22.81, 22.57, 22.38,
18.94, 17.37, 12.93. HRMS: Calculated for [M + H]+: 618.2828,
found: 618.2882. Purity of 5 was assessed by both elemental
analysis and HPLC. Elemental analysis: calculated for C32H48BrN3O4: C, 62.13; H, 7.82; N,
6.79. Found: C, 62.288; H, 7.718; N, 6.712. HPLC: Retention time (RT):
19.62. Purity: 98.2%. Mp 177.1–178.0. 1H,13C,1H–1H COrrelated SpectroscopY (COSY),
nuclear Overhauser effect spectroscopy (NOESY), multiplicity edited
heteronuclear single quantum coherence (HSQC), heteronuclear multiple
bond correlation (HMBC), and selective HMBC spectrograms of the adduct
and 5 (each in CDCl3, at 600 MHz) are provided
in the Supporting Information Section (Figure S1).
Fluorescence Polarization (FP) Assay
The assay[27,28] was conducted in 384-well black
polystyrene microplates (Corning,
#3573) using 20 μL of buffer per well (25 mM PIPES, 50 mM NaCl
(Fisher), and 0.01% NP-40, at pH 6.75), 0.1 μM VDR-LBD, 17.5
nM Alexa Fluor 647-labeled SRC2-3, and 10 nM, 1,25(OH)2D3 or 5 μM PPARγ-LBD, Texas Red-labeled DRIP2
(7 nM) and rosiglitazone (1 μM). Then, 10 mM stock solutions
of synthesized compounds made in DMSO were serially diluted (1:2)
and added with a Tecan Freedom EVO liquid handling system using a
50H hydrophobic-coated pin tool that carried 100 nL (V&P Scientific).
After 2 h of incubation, fluorescence polarization was detected at
emission/excitation wavelengths of 635/685 nm (Alexa Fluor 647) and
596/615 nm (Texas Red). Three independent experiments were carried
out in quadruplicate, and data were analyzed using nonlinear regression
with a variable slope (GraphPrism).
Transcription Assays[27,28]
Human embryonic
kidney (HEK) 293T cells were cultured in 75 cm2 flasks (CellStar)
coated in matrigel (BD Bioscience, #354234). Cells were grown in Dulbecco’s
modified Eagle’s medium (DMEM)/high glucose (Hyclone, #SH3024301)
media to which nonessential amino acids (Hyclone, #SH30238.01), 10
mM HEPES (Hyclone, #SH302237.01), 5 × 106 units of
penicillin and streptomycin (Hyclone, #SV30010), and 10% of heat-inactivated
fetal bovine serum (Gibco, #10082147) were added. For the assay, cells
at 70–80% confluency were transfected by lipid-based methods,
where 2 mL of untreated DMEM/high glucose media (without additives)
containing 0.7 μg of VDR-CMV plasmid, 16 μg of a CYP24A1-luciferase
reporter gene, lipofectamine LTX (75 μL, Life Technologies,
#15338020), and PLUSTM reagent (25 μL) were added to the flask.
After 16 h of incubation at 37 °C with 5% CO2, the
cells were harvested with 0.05% Trypsin (Hyclone, #SH3023601) and
added to sterile white, optical-bottom 384-well plates (NUNC, #142762),
plates that were pretreated with a 0.25% matrigel solution. To each
well, 20 μL of cells was added to yield a final concentration
of 15,000 cells per well. After 4 h, plated cells were treated with
compounds in DMSO solution using a Tecan Freedom EVO liquid handling
system with a 50H hydrophobic-coated pin tool. In the competitive
inhibition assay, 1,25(OH)2D3 (10 nM) was also
added to the assay wells containing 5. After 16 h of
incubation at 37 °C with 5% CO2, 20 μL of Bright-Glo
Luciferase assay kit (Promega, Madison, WI) was added to each well
and the luminescence was read. At least two independent experiments
were performed in quadruplicate, and data were analyzed using nonlinear
regression with variable slope (GraphPrism).
Fluorescence Polarization
Binding Assay against RXRα
Fluorescence polarization
binding assays were done with an INFINITE
pro200.[30] The measurements were performed
in 1% DMSO buffer (pH 7.9, 10 mM HEPES, 150 mM NaCl, 2 mM MgCl2). To a 384-well plate (Greiner 784076), RXRα-LBD (10
μL, 0.5 μM final concentration), CBTF-BODIPY (5 μL,
0.3 μM final concentration), and 5 (5 μL,
32, 16, 8, 4, 2, 1, 0.5, 0.25, 0.125, 0.0625, 0.03125 μM final
concentration) were added, and the plate was incubated at 25 °C
for 1 h. The excitation and emission wavelengths were read at 485
nm and 535 nm, respectively. The IC50 value of each test
compound was calculated using Prism 8.
Induced-Fit Molecular Docking
Methods
The available
crystal structure of Vitamin-D receptor (VDR) with 1 (PDB
code: 1DB1)[31] provided the platform for structural modeling
and studies. Most of the modeling and simulation were carried out
using the modeling suite from Schrödinger 2021.[32] The crystallographic waters were removed to
avoid conformational discrepancies associated with water sampling
during the simulations. Overall, the implicit-water model was used
during minimization, conformational search, molecular and induced-fit
docking, loop refinement, and energetic calculation. A restrained
minimization job with an RMSD constraint of 0.3 Å was carried
out on the preprocessed structure using the OPLS3e force field to
further refine the structure. The starting structures of 1 and 5 were obtained by performing a 5000-step conformational
search with 0.05 kJ/mol convergence criteria using the Polak–Ribiere
Conjugate Gradient (PRCG) method using the MMFF force field. The chemical
structure of 5 is larger in size and conformationally
rigid molecule than 1. To handle this large and rigid
molecule, the induced-fit (IF) docking strategy was implemented. Therefore,
the IF docking protocol[33,34] was used to conduct
docking of 5 to the 1 site in VDR followed
by side-chain refinement through Prime[32] to allow receptor flexibility according to the binding mode. Overall
docking strategies were checked by reference molecule 1, and several docked poses were generated, and the best receptor-5 docked complex was selected for the final minimization in
using the OPLS3e force field to relax and optimize to reveal the possible
binding mode of 5.
Cell Lines
SKOV-3
(ATCC, HTB77), OVCAR-3 (ATCC, HTB-161),
OVCAR-8 (inherited from Laurent Brad’s previous laboratory),
and CAOV-3 (ATCC, HTB75) ovarian cancer cells were grown in complete
DMEM media (Gibco, 11965). IGROV-1 (Sigma, SCC203) and 2008 (kindly
provided by Dr. François X. Claret, University of Texas M.D.
Anderson Cancer Center) ovarian cancer cells were grown in complete
RPMI medium (Gibco, 22400). ES2 (ATCC, CRL-1978) was grown in McCoy’s
5A complete medium (ATCC, 30-2007). BE(2)C (ATCC, CRL-2268), SH-EP1
(ATCC, CRL-2269), SH-SY5Y (ATCC, CRL-2266), KELLY (Sigma, 92110411),
SK-N-AS (Sigma, 94092302), and LAN-5 (COG, http://www.cogcell.org) neuroblastoma
cell-lines were maintained in RPMI1640 media (Gibco, 11875) supplemented
with 10% heat-inactivated FBS. TH-MYCN+/+ cells were derived by mechanical
dissociation of tumors obtained from TH-MYCN homozygous mice[51−53] and were maintained in RPMI1640 media (Gibco, 11875) supplemented
with 20% heat-inactivated FBS, 10–5 mM 2-mercaptoethanol, 1
mM sodium pyruvate, and 1× nonessential amino acids (Gibco, 11140076).
Animals
All animal experiments were conducted at the
University of Rochester under the approval of the Institutional Animal
Care and Use Committee (IACUC). NSG mice, 6–8 weeks old, bred
in-house were used in ES2, BE(2)C, and SH-SY5Y xenograft studies.
TH-MYCN hemizygous mice (129×1/SvJ-Tg(TH-MYCN)41Waw/Nci)[51−53] were initially obtained from the NCI Mouse Repository (strain code
01XD2) and maintained in a 129×1/SvJ background through cross-breeding
with either wild-type 129×1/SvJ mice obtained from The Jackson
Laboratory (stock number 000691) or other TH-MYCN hemizygous mice.
TH-MYCN homozygous mice were identified through genotyping as previously
described.[51−53] All mice were maintained on a breeder diet (Labdiet
5021), and tumor-bearing mice were further supplemented with Diet
Gel 67A (ClearH2O).
VDR Expression Analyses
Survival
analyses of patients
diagnosed with pancreatic, lung, bladder, esophageal, and bladder
cancers as well as neuroblastoma and other malignancies (Figure S2) were generated by analyzing the mRNA
data available at the R2-Genomics Analysis and Visualization platform
(http://hgserver1.amc.nl) or the Human Protein Atlas (https://www.proteinatlas.org/). Best system-recommended cutoffs
were opted. Databases analyzed for this study include the following:
bladder cancer: Higlund-308-custom-ilmnht12v3; breast cancer: TCGA-1097-rsem-tcgars;
cervical cancer: TCGA-305-rsem-tcgars; Glioma: TCGA-540-Mas5.0-u133a;
liver cancer: TCGA-371-rsem-tcgars; lung cancer: Bild-114-Mas5.0-u133p2;
neuroblastoma: Virsteeg-88-Mas5.0-u133p2; ovarian cancer: Mcdonald-45
(fRMA-u133p2), Wong-77 (fRMA-u133p2), Mechta-Grigoriou-107-Mas5.0-u133p2;
and pancreatic cancer: Badea-78(Mas5.0-u133p2), Wang-51 (Mas5.0-u133p2),
TCGA-178-rsem-tcgars, and Yeh-132-custom-4hm44k.
MTS Assay
Viability of ovarian cancer and neuroblastoma
cell-lines exposed to 5 treatment was determined by the
CellTiter 96 AQueous One Solution assay (Promega Corp, Madison, WI).
Cells were seeded into a 96-well plate at 5,000 cells/100 μl/well
density in a complete cell culture medium, allowed to attach overnight
at 37 °C with 5% CO2, in a humidified incubator, and
were treated with a complete medium containing the indicated concentration
of 5 dissolved in DMSO (Figures d and 6a). The final
concentration of DMSO did not exceed 0.2% (v/v). At planned hours,
existing media were replaced with fresh RPMI media containing the
MTS reagent (1:10 dilution) and incubated for 2–4 h. Absorbance
was read at 490 nm using the iMark microplate reader (BioRad). Viability
of HepG2 and HEK293T cells after 5 treatment was measured
by the CellTiter-Glo (Promega) assay (Figure a,b). Cells were plated in quadruplicate
in 384-well plates and treated with indicated concentrations of 5, 7DHC (6), and 7DHC-adduct (7).
Cells were incubated for 18 h at 37 °C. CellTiter Glo (Promega)
was added. The number of live cells was quantified by luminescence
using a Tecan M1000 plate reader. DMSO (negative) was used as the
control. Data were analyzed using nonlinear regression with the variable
slope (GraphPadPrism) assay.
Immunohistochemical Analyses
Neuroblastoma tissues
were fixed in 10% neutral buffered saline for several days and then
dehydrated into paraffin using a Sakura VIP tissue processor and Sakura
Tissue Tek 5 embedding center. Sections of 5–10 μm in
thickness were cut using a Leica RM2265 microtome. Immunohistochemical
stains were performed using the GBI Polink-2 antirabbit HRP Plus Detection
System (GBI International, D39) or the Mouse-on-Mouse HRP-Polymer
Bundle (BioCare Medical) and were counterstained with hematoxylin.
Prior to primary antibody addition, sections were rehydrated, followed
by 30 min antigen retrieval in sodium citrate buffer pH 6.0, and blocked
of endogenous peroxidase with hydrogen peroxide. Primary antibodies
used for immunohistochemistry were mouse rabbit anti-VDR (Abcam, ab3508),
mouse anti-VDR (Santa Cruz Biotechnology, SC-13133), mouse anti-MYCN
(Santa Cruz Biotechnology, SC-53993), rabbit anti-tyrosine hydroxylase
(TH) (Millipore, AB152), normal rabbit IgG (Millipore, 12-370), and
normal mouse IgG (Millipore, 12-371). Slides were visualized using
an Olympus BX41 light microscope and imaged with an Olympus DP70 camera.
Photographs were captured using CellSens digital software.
Confocal
Microscopy
Briefly, sixteen-bit images were
acquired with a Nikon E800 microscope (Nikon Inc., Melville, NY) using
a 40× PlanApo objective. A Spot II digital camera (Diagnostic
Instruments, Sterling Heights MI) was used to acquire the images.
The camera’s built-in green filter was used to increase the
image contrast. Camera settings were based on the brightest slide.
Images were acquired with the same settings. Image processing and
analysis were performed using iVision (BioVision Technologies, version
10.4.11, Exton, PA.) image analysis software. Positive staining was
defined through intensity thresholding, and integrated optical density
(IOD) was calculated by examining the thresholded area multiplied
by the mean. All measurements were performed in pixels. Confocal images
were acquired with a Nikon C1si confocal (Nikon Inc., Melville, NY.)
using diode lasers 402, 488, and 561. Serial optical sections were
performed with EZ-C1 computer software (Nikon Inc., Melville, NY).
Z series sections were collected at 0.3 μm with a 40× PlanApo
lens and a scan zoom of 2. The gain settings were based on the brightest
slide and kept constant between specimens. Deconvolution and projections
were done in Elements (Nikon Inc. Melville, NY) computer software.
Xenograft Animal Models
ES2, SH-SY5Y, and BE(2)C cells
isolated from 70 to 80% confluent Petri dishes were spun down (1000
rpm, 5 min). Media was removed, and cells (calculated 250,000/mice
for ES2 and 1 million/mice for SH-SY5Y and BE(2)C) were suspended
in cold matrigel/serum-free RPMI media mix (1:1) and implanted subcutaneously
in the right flank of the NSG mice. Prior to inoculation, NSG mice
were shaved at the inoculation site using a clean shaving machine,
and skin was disinfected and cleaned using commercially available
alcohol swabs. SKOV-3, D283, and PANC-1 cells were grown to semiconfluence
in complete DMEM media. BXPC-3 cells were cultured in complete RPMI
media to 70–80% confluence. Trypsinized cells were harvested,
centrifuged, and suspended in precooled matrigel/DMEM media (1:1)
and subcutaneously implanted in nude mice (SKOV-3) or NSG mice (D283,
PANC-1, BXPC-3) each at 1 million cells/animal rate. Once tumors became
palpable, mice were treated with vehicle or 5. Tumors
in each case were allowed to grow until the volume [(length ×
width2)/0.5] in one or more mice reached 2000 mm3, and then the entire group of animals was sacrificed. Tumor sizes
and animal weights were recorded periodically except in BE(2)C and
ES2 animals, which necessitated alternate day monitoring due to rapid
tumor growth. Tumors from the control and drug groups were harvested,
weighed, snap-frozen, and stored in liquid nitrogen.
Spontaneous
TH-MYCN Transgenic Neuroblastoma Model
TH-MYCN hemizygous
mice (129×1/SvJ-Tg(TH-MYCN)41Waw/Nci) were
initially obtained from the NCI Mouse Repository (strain code 01XD2)
and maintained in a 129×1/SvJ background though cross-breeding
with either wild-type 129×1/SvJ mice obtained from The Jackson
Laboratory (stock number 000691) or other TH-MYCN hemizygous mice.
TH-MYCN homozygous mice were identified through genotyping as previously
described.[52,53] All mice were maintained on a
breeder diet (Labdiet 5021), and tumor-bearing mice were further supplemented
with Diet Gel 67A (ClearH2O). Control mice (n = 7)
and 5 (10 mg/kg, n = 8) mice were treated
intraperitoneally with indicated doses. Mice in the control and 5 (10 mg/kg) group received six treatments in total, whereas
the mice in the 5 (100 mg/kg) group were given just three
treatments to see the effect of escalated drug dose on the safety
of animals at 10× dose and to monitor for changes in the tumor
burden. The tumor burden in each mouse was estimated using ultrasound
imaging instrumentation as described below.
Ultrasound Imaging of TH-MYCN
Mice
Tumors in vehicle/drug-treated
groups were visualized by abdominal ultrasound using a Vevo 3100 Imaging
System and MX550D transducer (FUJIFILM VisualSonics, Inc). Animals
were anesthetized (1–3% isoflurane and oxygen mixture) and
restrained on a heated stage with monitors for respiration and heartbeat.
Ventral hair was removed with a depilatory cream prior to monitoring
with an ultrasound probe. The 3D volume measurements were carried
out using Amira 6.1 software with an XImagePAC extension (FEI).
Statistical Analyses
To analyze the statistical difference
between vehicle and 5-treated ES2 xenograft tumors (Figure f), a repeated-measures
analysis of variance was performed using maximum likelihood estimation
with group, day, and the interaction between group and day as fixed
effects. The correlation of repeated measures on the same subject
over time was handled using an unstructured covariance, which was
allowed to vary by treatment condition. Model assumptions were verified
graphically. Analysis was conducted using SAS v9.4 Proc Mixed (Cary,
NC). Assumptions made by the mixed model analysis were verified by
examining the distribution of residuals, or unexplained variation.
Ideally, the residuals are approximately normally distributed with
a mean of zero and no obvious patterns. Finally, we used a nonparametric
test (Wilcoxon rank sum test) to compare the tumor volumes between
groups at each time point. Results corroborated those seen with the
regression model, which makes more assumptions. The statistical differences
between vehicle and 5-treated SKOV-3 xenograft tumors,
average animal weights, and tumor sizes were compared between the
control and 5 groups at the baseline by Student’s T-test. Weights and tumor sizes were compared by group over
the observation period using linear mixed effect regression. Random
intercepts and slopes were included to model within-animal response
trajectories. Group differences in the rate of weight change or tumor
growth were tested by an interaction term between the treatment group
and day of treatment. Residuals were examined to assess model fit.
Animal survival was plotted using the Kaplan–Meier method.
Two-tailed p-values less than 0.05 were considered statistically significant
(Figure c–e).
The difference between the % change in tumor volumes of D283 medulloblastoma
and pancreatic cancer (PANC-1, BXPC-3) and neuroblastoma BE(2)C and
SH-SY5Y xenografts treated with control or 5 treatment
was analyzed by Student’s T-test (Figure f–h). Tumor
weights in BE(2)C and SH-SY5Y xenografts were compared by Student’s T-test. TH-MYCN tumor sizes and weights in the control and
treatment groups were compared by Student’s T-test (Figure b,c).
Authors: Alexandra Valera; Armando López-Guillermo; Teresa Cardesa-Salzmann; Fina Climent; Eva González-Barca; Santiago Mercadal; Iñigo Espinosa; Silvana Novelli; Javier Briones; José L Mate; Olga Salamero; Juan M Sancho; Leonor Arenillas; Sergi Serrano; Nadina Erill; Daniel Martínez; Paola Castillo; Jordina Rovira; Antonio Martínez; Elias Campo; Luis Colomo Journal: Haematologica Date: 2013-05-28 Impact factor: 9.941
Authors: David J Bettoun; Thomas P Burris; Keith A Houck; Donald W Buck; Keith R Stayrook; Berket Khalifa; Jianfen Lu; William W Chin; Sunil Nagpal Journal: Mol Endocrinol Date: 2003-07-31
Authors: Lucia Altucci; Mark D Leibowitz; Kathleen M Ogilvie; Angel R de Lera; Hinrich Gronemeyer Journal: Nat Rev Drug Discov Date: 2007-10 Impact factor: 84.694