Prostate cancer (PCa) therapy typically involves administration of "classical" antiandrogens, competitive inhibitors of androgen receptor (AR) ligands, dihydrotestosterone (DHT) and testosterone (tes), for the ligand-binding pocket (LBP) in the ligand-binding domain (LBD) of AR. Prolonged LBP-targeting leads to resistance, and alternative therapies are urgently required. We report the identification and characterization of a novel series of diarylhydrazides as selective disruptors of AR interaction with coactivators through application of structure and ligand-based virtual screening. Compounds demonstrate full ("true") antagonism in AR with low micromolar potency, selectivity over estrogen receptors α and β and glucocorticoid receptor, and partial antagonism of the progesterone receptor. MDG506 (5) demonstrates low cellular toxicity in PCa models and dose responsive reduction of classical antiandrogen-induced prostate specific antigen expression. These data provide compelling evidence for such non-LBP intervention as an alternative approach or in combination with classical PCa therapy.
Prostate cancer (PCa) therapy typically involves administration of "classical" antiandrogens, competitive inhibitors of androgen receptor (AR) ligands, dihydrotestosterone (DHT) and testosterone (tes), for the ligand-binding pocket (LBP) in the ligand-binding domain (LBD) of AR. Prolonged LBP-targeting leads to resistance, and alternative therapies are urgently required. We report the identification and characterization of a novel series of diarylhydrazides as selective disruptors of AR interaction with coactivators through application of structure and ligand-based virtual screening. Compounds demonstrate full ("true") antagonism in AR with low micromolar potency, selectivity over estrogen receptors α and β and glucocorticoid receptor, and partial antagonism of the progesterone receptor. MDG506 (5) demonstrates low cellular toxicity in PCa models and dose responsive reduction of classical antiandrogen-induced prostate specific antigen expression. These data provide compelling evidence for such non-LBP intervention as an alternative approach or in combination with classical PCa therapy.
Prostate cancer (PCa) is one of the major
causes of cancer death in men worldwide.[1] The molecular basis of the disease involves an irregular behavior
of the functions mediated by the androgen receptor (AR). HumanAR
belongs to the nuclear receptor (NR) superfamily of transcription
factors, which regulate gene transcription upon ligand binding.[2] The structure of NRs is extensively documented
in the literature,[3] and in general, NRs
share the following common organization: a variable amino-terminal
activation function domain (AF-1), a highly conserved DNA-binding
domain (DBD), a hinge region that contains the nuclear localization
signal, a conserved C-terminal ligand-binding domain (LBD) comprising
a 12 helical structure that encloses a central ligand binding pocket
(LBP), and a second activation function domain (AF-2) that is located
at the carboxy-terminal end of the LBD and mediates ligand-dependent
transactivation.AR is activated by the endogenous hormone testosterone
(tes) and its more potent metabolite dihydrotestosterone (DHT), both
of which bind in the LBP. The binding of these endogenous modulators
induces a reorganization of helix 12 to the so-called “agonist”
conformation, generating a structured hydrophobic surface (AF-2) suitable
for the recruitment of tissue-specific NR coactivators. Such NR coactivators
can be thought of as “master switches”, directing and
amplifying the subsequent transcriptional activity of the target NR.
In a recent work, an additional secondary function site called binding
function 3 (BF-3) has been reported on the surface of the AR that
could also play a relevant role in the allosteric modulation of the
AF-2.[4]NR drug development has traditionally
focused on advancing full or partial agonists/antagonists interacting
within the LBP of the LBD.[5] PCa has been
treated by intervention at the early stages through utility of classical
antiandrogens, which act by displacing the natural hormones from the
pocket and inducing a conformational change of the helix 12 so that
coactivators cannot be recruited. Tissue specificity, detrimental
side effects, and a loss of the pharmacological effect (acquired drug
resistance) over time are major and ongoing concerns with such LBP
targeting treatment regimes.[6,7]It has been demonstrated
that it is possible to inhibit the transcriptional activity of the
NRs by directly blocking the critical receptor:coactivator interaction.[8−13] This alternative approach to traditional NR modulation may furnish
greater pharmacological insight and afford opportunities to modulate
not only under tissue specific circumstances but without adversely
affecting natural ligand binding and so preserving the beneficial/nondisease
linked functions of the receptors. Specifically, the steroid receptor
coactivator (SRC) family has been postulated as a feasible target
for pharmacological intervention.[14] The
viability of targeting AR–coactivator interaction using small
molecules has been recently demonstrated.[4,8] Moreover, it
has been postulated that circumventing the LBP will overcome the problem
of drug resistance in PCa.[15−19]Here we describe the discovery and characterization of a novel
class of selective non-LBP “true” antiandrogens, characterized
by full AR antagonism in inhibiting the recruitment of coactivators
and lacking intrinsic partial agonistic properties. Mechanistically,
these compounds are totally differentiated from the recent description
of true LBP antiandrogens like MDV3100 and RD162,[20,21] while their selectivity and druglike nature underpin the potential
of a non-LBP intervention strategy in advanced prostate cancer resistant
to “classical therapy”, first described for the true
non-LBP targeting antiandrogens pyrvinium pamoate (PP) and harmol
hydrochloride (HH).[22]The biological
data obtained both on target with time-resolved fluorescence resonance
energy transfer (TR-FRET)/fluorescence polarization (FP) assays and
in cellular PCa models demonstrate the non-LBP antagonist activity
of the series and an alternative mechanism of inhibition, furnishing
a new class of nonpeptidic, small molecule AR:coactivator selective
disruptors as leads for the development of novel treatments for prostate
cancer.
Results
Virtual Screening
A virtual (computational) screen
of six vendor compound databases (see Experimental
Section) was performed through a combination of 3D pharmacophore
generation and docking. Seven X-ray structures of coactivator peptide
bound AR were used to define key ligand-derived pharmacophoric features
of the most represented motifs occurring in known AR coactivators.[23] Initially, common key interaction motifs within
the peptide of the form FxxLF, LxxLL, or FxxLW were considered to
generate a consensus AF-2 pharmacophore. Subsequently, a second site-derived
pharmacophore model was advanced based on the specific characteristics
of the androgen receptor AF-2 region, which demonstrates known selectivity
toward the FxxLF coactivator motif[24] (Figure 1B). The cocrystallization of the AR LBD bound with
DHT in the presence of the FxxLF peptide (PDB ID 1T7R)[23] provided the structural basis of the AF-2 interaction for
docking studies.
Figure 1
Virtual screening and identification of diarylhydrazide
scaffolds. (A) A series of coactivator peptides cocrystallized in
the AF-2 groove was employed; for illustrative purposes we present
the FxxLF coactivator motif from PDB entry 1T7R. The AF-2 groove is represented in dark
gray. For clarity reasons, only Lys720 and Glu897 are shown and DHT
is not illustrated;[23] (B) A 3D pharmacophore
model was derived containing the common features between AR coactivators
and the two aromatic features of the FxxLF motif. Pharmacophores were
used to screen vendor compound databases and to guide the docking
of putative “hits” into the AF-2 site. The screen identified
an active diarylhydrazide class of compounds. (C, D) Two first round
actives 1 (MDG173) and 2 (MDG15) docked
poses in the AF-2 site, with the surface rendered and only key amino
acids shown. Partial mapping of initial hits to the pharmacophore
suggested additional virtual screening to identify more potent family
members. Images were generated with Molecular Operating Environment
(MOE)[25] and PyMol.[26]
Virtual screening and identification of diarylhydrazide
scaffolds. (A) A series of coactivator peptides cocrystallized in
the AF-2 groove was employed; for illustrative purposes we present
the FxxLF coactivator motif from PDB entry 1T7R. The AF-2 groove is represented in dark
gray. For clarity reasons, only Lys720 and Glu897 are shown and DHT
is not illustrated;[23] (B) A 3D pharmacophore
model was derived containing the common features between AR coactivators
and the two aromatic features of the FxxLF motif. Pharmacophores were
used to screen vendor compound databases and to guide the docking
of putative “hits” into the AF-2 site. The screen identified
an active diarylhydrazide class of compounds. (C, D) Two first round
actives 1 (MDG173) and 2 (MDG15) docked
poses in the AF-2 site, with the surface rendered and only key amino
acids shown. Partial mapping of initial hits to the pharmacophore
suggested additional virtual screening to identify more potent family
members. Images were generated with Molecular Operating Environment
(MOE)[25] and PyMol.[26]From the virtual screen, a first series of compounds
with predicted target affinity was selected from commercially available
databases (see Experimental Section) and evaluated
for biological activity using TR-FRET and FP techniques. This initial
screen (Figures 1C,D and 2) identified two small molecules, 1 and 2, both diarylhydrazides, as possible non-LBPAR antagonists.
Non-LBP modulatory activity was evidenced by demonstration of an IC50 in the range of 50–100 μM in AR TR-FRET coactivator
displacement assay and their inability to displace bound fluorescently
labeled ligand from the LBP through an FP assay. These first round
“hit” molecules map only partially to the screening
pharmacophore (Figure 1C,D). Accordingly, an
optimization round of screening was initiated to explore the utility
of the scaffold for more effective disruption of AR:coactivator interaction.
Figure 2
Diaryl-substituted hydrazides retrieved from the virtual
screening process.
From these initial data, a simple molecular similarity search was
performed (Tanimoto coefficient >70%) to furnish a new screening
series of 37 compounds bearing the desired diarylhydrazide scaffold.
This second round screen identified four small molecules (Figure 2), 3 (MDG 483), 4 (MDG
292), 5 (MDG 506), and 6 (MDG 508), with
improved activity (IC50 < 50 μM in an AR TR-FRET
assay). These ligands were taken forward for additional investigation
and characterization.Diaryl-substituted hydrazides retrieved from the virtual
screening process.
Diarylhydrazides Inhibit FxxLF Coactivator Recruitment by AR
without Traditional Antagonism of the LBP
The series of diaryl-substituted
hydrazides identified through the VS process (Figure 2) inhibited the recruitment of the fluorescent labeled D11-FxxLF
coactivator peptide in the presence of an agonist (DHT) concentration
equal to EC80 using time-resolved FRET assays. D11-FxxLF
is a peptide developed from random phage display technology that resembles
the SRC family of coactivator proteins in its flanking sequence but
that also has an AR N-terminal interaction domain.[24] Thus, it is a biological mimic of the N-terminal and the
SRC coactivator interactions with the LBD.A 12-point dose–response
curve was determined for those compounds that inhibited coactivator
binding in the micromolar range, acting as full AR antagonists, 3–6 (Figure 3A
and Table 1).
Figure 3
Diarylhydrazides inhibit the AR recruitment
of a fluorescent-labeled D11-FxxLF peptide but do not displace a potent
fluorescent ligand from the AR-LBP. (A and B) Compounds were tested
in a TR-FRET assay across a concentration range from 100 μM
to 45 nM in the presence of a concentration of DHT = EC80 in AR-LBD wt (A) and AR-LBD T877A (B). Data points represent the
mean of two independent experiments performed in triplicate. Error
bars represent the standard error of the mean (SEM) for n = 6 values. Data was fitted using log antagonist concentration vs
response (variable slope) with GraphPad Prism 5 (see Experimental Section for details). (C) Fluorescence polarization
data is plotted as percent maximal activity represented by AR-LBD
and fluorophore complex (0% inhibition). The minimum control value
represents free fluorophore (Free F) in solution (100% inhibition).
Error bars represent the SEM for n = 6 values.
Table 1
Diarylhydrazides Activity toward AR
and ART877Aa
compounds
AR (wt)
AR T877A
3
15.9 ± 3.2 μM
11.1 ± 3.2 μM
4
13.3 ± 3.1 μM
12.4 ± 2.2 μM
5
26.3 ± 3.8 μM
33.2 ± 5.9 μM
6
17.9 ± 6.9 μM
28.1 ± 6.7 μM
IC50 values are shown
as ±SEM (n = 6). Activity data are in agreement
for 4 and 5 in both AR wt and ART877A. The
higher confidence mP values and experimental reproducibility obtained
for 4 and 5 in coactivator studies were
used as the basis to advance these compounds to cellular characterization
and receptor subtype selectivity evaluations.
Maximal activity was calculated
as per established methods.[27] The background
signal, representing diffusion-enhanced FRET in the absence of AR,
was subtracted from the FRET value of each compound and from the maximal
signal, representing FxxLF-bound AR in presence of DHT.Diarylhydrazides inhibit the AR recruitment
of a fluorescent-labeled D11-FxxLF peptide but do not displace a potent
fluorescent ligand from the AR-LBP. (A and B) Compounds were tested
in a TR-FRET assay across a concentration range from 100 μM
to 45 nM in the presence of a concentration of DHT = EC80 in AR-LBD wt (A) and AR-LBD T877A (B). Data points represent the
mean of two independent experiments performed in triplicate. Error
bars represent the standard error of the mean (SEM) for n = 6 values. Data was fitted using log antagonist concentration vs
response (variable slope) with GraphPad Prism 5 (see Experimental Section for details). (C) Fluorescence polarization
data is plotted as percent maximal activity represented by AR-LBD
and fluorophore complex (0% inhibition). The minimum control value
represents free fluorophore (Free F) in solution (100% inhibition).
Error bars represent the SEM for n = 6 values.The TR-FRET assay cannot differentiate between
direct coactivator antagonists acting on the LBD surface and classical
AR antagonists, which also functionally disrupt coactivator recruitment
by displacing DHT from the ligand binding pocket. To characterize
the nature of the antagonist effect, compounds were tested for their
ability to displace a potent fluorescent ligand (fluorophore) from
the ARLBP through a fluorescence polarization (FP) assay at a single
point concentration (50 μM), using cyproterone acetate (CPA)
at the same concentration as a reference, a known ARLBP-mediated
antagonist. All compounds tested showed 0% inhibition of the AR-LBD
and fluorophore complex, indicating a non-LBP-mediated mechanism of
AR transactivation inhibition (Figure 3C).Compound 3 gave an unusually high value of millipolarization
units (mP), 20% higher than the maximal control (Figure 3C). This could be indicative of solubility issues in the assay
buffer and therefore could generate a false negative result. It is
known that FP assay outcomes can be influenced by intrinsic fluorescence
of the test compounds and/or light scattering phenomena due to poor
solubility and precipitation. To minimize the possibility of such
false negative or positive reporting, the FP data was rigorously interrogated
through examination of both autofluorescence and aggregation. None
of the compounds tested showed competing autofluorescence in the assay
conditions or was shown to be a false negative. Results are shown
in the Supporting Information (Supplementary
Figure 2).To further validate the utility of these ligands
in PCa, on-target binding experiments were also performed using the
recombinant T877AAR mutant[28,29] characteristic of advanced
stage androgen-independent PCa. In TR-FRET, the compounds demonstrated
similar activity to that observed in the wild type assays, indicating
their potential in advanced phases of prostate cancer (Figure 3B).IC50 values are shown
as ±SEM (n = 6). Activity data are in agreement
for 4 and 5 in both AR wt and ART877A. The
higher confidence mP values and experimental reproducibility obtained
for 4 and 5 in coactivator studies were
used as the basis to advance these compounds to cellular characterization
and receptor subtype selectivity evaluations.
Diarylhydrazides Are AR Selective Coactivator Interaction Disruptors
We undertook to profile the selectivity of these compounds for
AR over other members of the same phylogenetic branch of the steroidal
nuclear receptor subfamily. Compound binding affinities for progesterone
receptor (PR), glucocorticoid receptor (GR), estrogen receptor α
(ER-α), and estrogen receptor β (ER-β) were determined
using TR-FRET (Table 2). Diarylhydrazides do
not displace fluorescent-labeled coactivator PGC-1α from estradiol–ER-α
and estradiol–ER-β complex and do not displace fluorescent-labeled
coactivator SRC1-4 from dexamethasone–GR complex at concentrations
up to 100 μM (Supporting Information, Supplementary Figures 3–5). Compound 5 binds
PR with comparable affinity to that observed for AR, while 4 demonstrates approximately 2-fold binding selectivity for the AR
over PR.
Table 2
Diarylhydrazides Activity (IC50, μM) in GR, ER-α/ER-β, and PR Nuclear
Receptor Targetsa
compounds
GR
ER-α
ER-β
PR
4
NA (>100)
NA (>100)
NA (>100)
22.5 ± 5.4
5
NA (>100)
NA (>100)
NA (>100)
27.7 ± 7.3
Data are presented as averages
of at least two independent experiments. IC50 values are
shown as ±SEM (n = 6). NA = not active at 100
μM.
In functional evaluation we determined that the diarylhydrazide
compounds are full AR antagonists, with a partial antagonistic profile
demonstrated in PR, displacing SRC1–4 from progesterone–PR
complex at micromolar concentrations (Figure 4 and Table 2).
Figure 4
Compounds 4 and 5 are partial antagonists
for PR. Compounds were tested at a concentration range from 100 to
1 μM in the presence of a concentration of progesterone = EC80. Data points represent the mean of two independent experiments
in triplicate. Error bars represent the standard error of the mean
(SEM) for n = 6 values. Data was fitted using log
antagonist concentration vs response (variable slope) with GraphPad
Prism 5 (see Experimental Section for details).
Compounds 4 and 5 show 50% and 30% inhibition
respectively at 100 μM. IC50 values are shown in
Table 2.
The non-LBP nature of
this interaction was confirmed by an FP assay (Supporting Information, Supplementary Figure 6).Data are presented as averages
of at least two independent experiments. IC50 values are
shown as ±SEM (n = 6). NA = not active at 100
μM.Compounds 4 and 5 are partial antagonists
for PR. Compounds were tested at a concentration range from 100 to
1 μM in the presence of a concentration of progesterone = EC80. Data points represent the mean of two independent experiments
in triplicate. Error bars represent the standard error of the mean
(SEM) for n = 6 values. Data was fitted using log
antagonist concentration vs response (variable slope) with GraphPad
Prism 5 (see Experimental Section for details).
Compounds 4 and 5 show 50% and 30% inhibition
respectively at 100 μM. IC50 values are shown in
Table 2.
Diarylhydrazides Demonstrate Low Toxicity in Different Prostate
Cancer Cellular Models
To ascertain the translational (clinical)
potential of these ligands, compounds were evaluated in cellular models
of prostate cancer (LNCaP,[30] an androgen-dependent
cell line and PC-3,[31] an androgen-independent
cell line) and in normal prostatic epithelia cell line PWR-1E.[32] Cell viability was assessed after 24 h of incubation
with the test compounds at three different concentrations (Figure 5). The classical antiandrogen CPA was used as a
reference, showing a minor effect at 50 μM in the androgen independent
cell line PC-3. At 50 μM 4 reduces cell viability
to a 50–60%, whereas 5 acts consistently across
the three cell lines, retaining cell viability at around 80%. These
data suggested 5 as a potential candidate for further
functional characterization.
Figure 5
Cell viability profile in LNCaP, PC-3, and PWR-1E
cell lines. %Percent cell viability is plotted against the molar compound
concentrations. Compounds were tested at 5 × 10–5, 1 × 10–5, and 5 × 10–7 M. Error bars represent the SEM of two independent experiments done
in triplicate (n = 6).
Cell viability profile in LNCaP, PC-3, and PWR-1E
cell lines. %Percent cell viability is plotted against the molar compound
concentrations. Compounds were tested at 5 × 10–5, 1 × 10–5, and 5 × 10–7 M. Error bars represent the SEM of two independent experiments done
in triplicate (n = 6).
Compound 5 Reduces DHT-Dependent Cell Proliferation
in LNCaP
The diarylhydrazides were evaluated for their effects
on the AR signaling pathway and on hormone-dependent cellular growth
of LNCaP cells. Compound 5 was well-tolerated after 5
days of treatment at 10 and 20 μM concentrations and enabled
observation of a specific reduction in DHT-treated cell count (Figure 6A).
Figure 6
Effect of compound 5 on DHT- and CPA-stimulated cell
proliferation. (A and B) 5 reduces androgen-stimulated
cell growth and DHT-dependent AR signaling measured as PSA levels
secreted in the cellular media in a dose-dependent fashion. (C) 5 at 10 μM reduces CPA-induced AR signaling (in absence
of androgens) measured as PSA levels secreted in the cellular media
in a dose-dependent fashion. Data are presented as the mean of two
independent experiments, and bars show SEM for n =
6 values (A). Secreted PSA (ng/mL) was measured considering the optical
density at 450 nm minus the optical density at 540 nm and interpolating
the values from the standard curve. Data are presented as mean of
two independent experiments, and bars show SEM for n = 4 values (B and C).
Compound 5 Reduces DHT- and CPA-Stimulated PSA
Expression in LNCaP Cells
Prostate specific antigen (PSA)
is a serine protease normally secreted by the prostate epithelia.
Its expression is under the control of AR. PSA is widely used as a
marker for PCa[33], as its serum levels are
increased in this condition. Compound 5 was shown to
reduce DHT-induced PSA secretion in a dose–response fashion
as quantified by an ELISA experiment in LNCaP cells (Figure 6B).It is well-documented that classical antiandrogens
(i.e., those binding within the LBP/competing with endogenous ligands)
have partial agonistic properties, which make them less useful in
the management of advanced prostate cancer.[34] Arising from this inherent agonism, in an androgen-deprived LNCaP
cell line, antiandrogens such as CPA can actually activate the AR pathway and stimulate cell growth.[35] In direct contrast to the behavior of traditional antagonists, 5 shows no detectable agonist or partial agonist activity
at tested concentrations, consistent with an alternative mechanism
to that of the classical antiandrogens. Finally, treatment with 5 at 10 μM was found to antagonize CPA partial agonist
activity (measured as secreted PSA levels in the cellular media in
an ELISA experiment), suggesting its potential benefit in combination
therapy for advanced stages of prostate cancer (Figure 6C). To further challenge this hypothesis, the compounds were
characterized in the 22Rv1 cell line.[36] This castration resistant cell line expresses the ARH874Y mutation.
The compounds also demonstrated similar effects in this alternate
system, supporting the hypothesis of their functioning as true antiandrogens
(Supporting Information, Supplementary
Figure 7).Effect of compound 5 on DHT- and CPA-stimulated cell
proliferation. (A and B) 5 reduces androgen-stimulated
cell growth and DHT-dependent AR signaling measured as PSA levels
secreted in the cellular media in a dose-dependent fashion. (C) 5 at 10 μM reduces CPA-induced AR signaling (in absence
of androgens) measured as PSA levels secreted in the cellular media
in a dose-dependent fashion. Data are presented as the mean of two
independent experiments, and bars show SEM for n =
6 values (A). Secreted PSA (ng/mL) was measured considering the optical
density at 450 nm minus the optical density at 540 nm and interpolating
the values from the standard curve. Data are presented as mean of
two independent experiments, and bars show SEM for n = 4 values (B and C).
Discussion
Classical antiandrogen therapy is known
to have limited beneficial effects in hormone-insensitive PCa. Alternative
AR inhibitors are therefore needed in the treatment of PCa. In this
study, we demonstrate the successful implementation of a virtual screening
approach in the identification of small molecule AR modulators, where
the structural motif of AR coactivators was included in a 3D pharmacophore.
We report the discovery, identification, and characterization of a
novel series of diarylhydrazide non-LBP-binding antiandrogen compounds,
with demonstrated ability to displace AR coactivators and with established
potency in AR-dependent prostate cancer cell lines. Activity was measured
with a TR-FRET assay and a non-LBP-mediated mechanism of inhibition
was confirmed by FP assay. These compounds are shown to function without
any demonstrated intrinsic or partial agonist activity in AR and therefore
can be classified as true[5] non-LBP antiandrogens.The nature of NR coactivators and the high homology of NR coactivator
binding sites are such that, to more fully profile the potential utility
of these ligands, their selectivity was evaluated across members of
the subclass of steroid receptors, including ER-α and ER-β,
GR, AR, and PR.The selectivity of the diarylhydrazide scaffold
for the AR was demonstrated through TR-FRET evaluation in the estrogen
and glucocorticoid receptors, where agonist bound receptor recruitment
of coactivator was unimpaired at screening concentrations up to 100
μM.We additionally investigated the potential cytotoxicity
of the diarylhydrazides in three different cell lines, selecting 5 for its favorable cytotoxic profile (cell viability was
retained at around 80% in different prostatic cellular models).Unmodified diarylhydrazide screening hits were also shown to have
2-fold selectivity for AR over PR, with partial antagonist activity
demonstrated for the scaffolds in a PR functional assay, remarkable
given the high (>60%) homology of these NR family members.[2,37] Futhermore, given the established utility of mifepristone (a PR
modulator which also has antiandrogenic activity) in the treatment
of castration resistant prostate cancer,[38,39] the narrower
selectivity window observed for these AR ligands in PR over the other
NR’s assessed is not a significant concern in the context of
the therapeutic area under consideration.Classical antiandrogens
can be also distinguished for their different behaviors at a cellular
level. Save for two recent examples,[20,21] all LBP antiandrogens
described to date have also intrinsic partial agonist activity,[34] demonstrated by induction of PSA in the absence
of hormone stimulation in LNCaP cells. In this study, the novel non-LBPdiarylhydrazide antiandrogen 5 did not induce PSA expression
in absence of hormone stimulation when compared to CPA. In androgen-deprived
LNCaP cells, 5 reduces PSA expression in combination
with CPA, antagonizing its partial agonist activity in a dose responsive
fashion. This result supports the hypothesis of a nonclassical mechanism
of AR inhibition for these diarylhydrazide ligands and it also demonstrates
the potential application of these and other non-LBP antiandrogen
small molecules targeting alternative AR sites in combination with
existing prostate cancer therapy.
Conclusion
Through application of virtual screening
methodologies, we present and characterize novel diarylhydrazide scaffolds
as true antiandrogens—displacing AR–coactivator interaction
and having a full antagonistic profile on AR (both wt and T877A),
partial antagonistic profile for PR, and selectivity for the other
members of the NR-3 family (GR, ER-α, and ER-β).The initial small molecule non-LBP true AR modulators provided by
this study will be used to further characterize the AR–coactivator
interface, to understand the basis of selectivity, and to further
guide rational drug design in the search of other novel scaffolds
directed at this interface. Chemical optimization of the hydrazide
linker to afford more tractable “druglike” compounds
is currently underway.
Experimental Section
Time-Resolved Fluorescence Resonance Energy Transfer (TR-FRET)
Lanthascreen TR-FRET AR Coactivator Assay Kit (Invitrogen, cat
no. PV4381) was used to screen for potential coactivator disruptors.
Black, low volume, 384-well assay plates (Corning, NY, cat. no. 3676)
were used to perform the assay (total volume 20 μL), and TR-FRET
signal was measured with PHERAstar equipment (BMG LabTech) using a
Lanthascreen optic module (excitation, 335 nm; emission, 520 nm channel
A and 495 nm channel B).TR-FRET values were calculated at 10
flashes per well, using a delay time of 100 μs and integration
time 200 μs as recommended by the Invitrogen assay guidelines.
The ratio 520 nm/495 nm was then calculated and plotted against the
concentration. A serial dilution of compounds was first prepared in
100× DMSO (Sigma-Aldrich) starting from the maximum desired concentration
to achieve a 12 point range concentration using 96-well polypropylene
plates (Nalgene Nunc, Rochester, NY). Each 100× solution was
diluted to 2× concentration with TR-FRET coregulator buffer A
(Invitrogen proprietary buffer), yielding a final concentration of
1% DMSO in each well. Ten microliters of 2× solution was then
added to the 384-well plate, following addition of 5 μL of 4×
AR-LBD and 5 μL of D11-FxxLF/Tb anti-GST antibody in agonist
mode and 5 μL of D11-FxxLF/Tb anti-GST antibody/DHT (included
at a concentration equal to EC80 as determined by running
the assay in agonist mode first).D11-FxxLF and Tb antibody were premixed in
light protecting vials prior to use. A final concentration of 5 mM
DTT was used in the assay buffer in order to prevent protein degradation.
All plates (agonist and antagonist mode) were incubated between 2
and 4 h at room temperature protected from light prior to TR-FRET
measurement. IC50 values were determined by testing each
ligand at concentrations ranging from 100 μM to 45 nM using
2- and 3-fold dilutions to generate a 12 point dose–response
curve. Data was fitted using the sigmoidal dose response (variable
slope) available from Graphpad Prism 5.[40]The Z factor for these assays
was >0.5, as calculated by the equation provided by Zhang et al.[41]In line with the assay protocol, a
known agonist, dihydrotestosterone (DHT, cat no. A8380, Sigma), and
a known antagonist, cyproterone acetate (cat no. C3412, Sigma), were
used as controls in the assay. A control with no AR-LBD present was
included to account for diffusion-enhanced FRET or ligand-independent
coactivator recruitment. A negative control with 2× DMSO was
present to account for any solvent vehicle effects.The same
procedure was used for ART877A (Invitrogen cat no. PV4667), PR (Invitrogen
cat no. PV4666), ER-α (Invitrogen cat no. PV4544), ER-β
(Invitrogen cat no. PV4541), and GR (Invitrogen cat no. PV4683). The
assay was adapted to exclude possible nonspecific aggregation mechanism
of inhibition by adding very low concentration of detergent Triton
X-100 (0.01%) to the assay buffer following the Shoichet review guidelines[42] (Supporting Information, Supplementary Figure 1).
Fluorescence Polarization (FP)
PolarScreen Androgen
Receptor Competitor Assay Kit Green (Invitrogen, cat no. P3018) was
used to investigate the binding of the test compound to the LBP site,
occupied by a high-affinity fluorophore ligand (Fluormone).The 100× test compound solutions in DMSO were diluted in AR
green buffer (Invitrogen) to achieve 2× concentrations and placed
in a 384-well plate (Corning, cat no. 3576) with 40 μL volume
capacity. AR-LBD was supplemented with 5 mM DTT to prevent protein
degradation. AR-LBD and Fluormone (2×) mix were prepared separately
and then added to each compound dilution to achieve a final concentration
LBD-Fluormone of 50 and 2 nM, respectively. Plates were incubated
protected from light for at least 4 h. Controls included a maximum
mP positive control, which consists of the AR-LBD and Fluormone mix
(2×), and a minimum mP control, containing only Fluormone (2×).
A vehicle control was added to account for DMSO effect, and a blank
control containing buffer only. Fluorescence polarization was measured
with PHERAstar equipment (BMG LabTech) using an optic module with
excitation at 485 nm and emission at 530 nm.
Cell Culture
LNCaP cells (androgen-dependent), PC-3
(androgen-independent), and PWR-1E (normal prostatic epithelia) were
cultured in RPMI-1640 GlutaMAX (Invitrogen), F12K (Invitrogen), and
K-SFM media (Invitrogen). The first two were supplemented with 10%
fetal bovine serum (FBS), penicillin (100 units/mL), and streptomycin
(100 μg/mL). K-SFM was supplemented with 5 ng/mL epidermal growth
factor (EGF) and 0.05 mg/mL bovine pituitary extract (BPE). Cells
were propagated at 1:3 or 1:6 dilutions at 37 °C in 5% CO2.
Cell Viability and Cell Proliferation Assays
For cell
viability (end point) assays LNCaP, PC-3, and PWR-1E cells were seeded
at 2.5 × 104/mL density in 200 μL volume of
a 96-well plate in triplicate and incubated for 24 h prior testing.
Test compounds were included at different concentrations to achieve
a final concentration of 0.5% DMSO in each well. The effect of 0.5%
DMSO on cell viability was also evaluated. Cell viability was assessed
after 24 h of treatment using 10% AlamarBlue reagent (Invitrogen)
for each well. Cell viability was monitored by the reduction of resazurin,
a blue, cell-permeable, nontoxic compound, to resorufin, a red and
highly fluorescent product. Viable cells continuously convert resazurin
to resorufin, increasing the overall color and fluorescence of the
media surrounding cells. Fluorescence intensity can be quantitatively
determined with a fluorescence microplate reader at excitation/emission
544 nm/590 nm (Spectramax Gemini).For hormone-dependent cell
proliferation assays in androgen-deprived LNCaP cells, cells were
seeded at 2 × 104 cells/mL in a 24-well plate in triplicate.
Cells were plated in phenol red free RPMI GlutaMAX (Invitrogen) supplemented
with 10% charcoal-stripped FBS to deplete endogenous steroids 48 h
prior to the assay, as described in previous reports.[43] The optimal condition for the treatment was found to be
5 days and the concentration of DHT included to stimulate the cells
was 0.1 nM. Cells were treated with different concentrations of test
compounds with or without 0.1 nM DHT to achieve a final concentration
of 0.1% DMSO in each well. A control for the vehicle was included
to ensure that no effect on viability could be detected. Media and
treatments were replaced every second day, after washing the cells
twice with 1× PBS. Supernatants were collected after 5 days for
evaluation of secreted PSA levels, and cell proliferation was assessed
for the same plate using AlamarBlue in order to exclude nonspecific
effects due to toxicity issues.
Prostate Specific Antigen (PSA) ELISA
Secreted levels
of prostate specific antigen were evaluated with a commercially available
kit (Quantikine HumanKallikrein 3/PSA Immunoassay, R&D systems).
The assay was performed following manufacturer’s guidelines.
In brief, 50 μL of standards and cell culture samples were added
to precoated wells containing assay diluent RD1W (R&D systems)
and incubated for 2 h at room temperature. Unbound material was washed
several times and 200 μL of horseradish peroxidase (HRP) labeled
PSA conjugate antibody was added to each well and further incubated
for 2 h at room temperature. Wells were washed and treated with colored
substrate (tetramethylbenzidine) for an additional 30 min, after which
50 μL of stop solution (2 N sulfuric acid) was added per well
and optical density (450 nm with correction at 540 nm) was read with
a plate reader within 30 min (Versamax).
Molecular Modeling
A virtual screen was designed to
select compounds mapping onto the peptide binding surface (AF2) of
the AR receptor, based on an ensemble of documented X-ray crystal
structures (PDB ID 1T73, 1T74, 1T76, 1T79, 1T7F, 1T7M, 1T7R, and 1T7T).[23] Molecular Operating Environment (MOE) software[25] was employed to preprocess the proteins and
to remove the coactivator peptides from the complexes. An initial
pharmacophore was generated using the MOE pharmacophore elucidator
and considering the most significant features, which involved hydrophobic,
donor, and acceptor features. A second pharmacophore was developed
including two additional hydrophobic/aromatic features to represent
the Phe side chains present in the FxxLF coactivator motif (1T7R), so as to increase
the selectivity for AR over other families of nuclear receptor. These
pharmacophore models were then applied for in silico screens of small-molecule
commercial libraries to identify compounds that resemble the “active
principle” of the starting peptides.[44]
Database Preprocessing
A number of vendor databases
were selected for screening of ligands, including Amsterdam[45] (5389 compounds), Peakdale[46] (8188), Asinex[47] Platinum collection
(75 258), Specs[48] (175 800),
Maybridge[49] (56 870), and ZINC[50,51] (4.6 million) compounds. A Bayesian analysis was performed on the
peptide structures to estimate parameters of an underlying distribution
based on the observed distribution. The above databases were then
filtered for those compounds with properties similar to the peptides,
thus focusing the search on the AR ligand chemical space. Any salts
or duplicates were removed. All molecules were standardized for stereochemistry
and charges and ionized at a pH of 7.4 and all calculable tautomers
were enumerated. At this stage the conformational flexibility of the
screening compounds was explored using the Omega software[52] (OpenEye Scientific package). A maximum of 50
conformations were generated for each molecule in the data set.
Compound Screening
The virtual molecules were overlaid
on and compared to the generated pharmacophore of the active ligands,
and those molecules that compared favorably were advanced for additional
virtual screening and scoring. The Fast Rigid Exhaustive Docking (FRED)[53] software as implemented in OpenEye Scientific’s
package was used to exhaustively examine all possible poses within
the protein site, filtering for shape complementarity and scoring.
The smaller databases (Amsterdam[45] and
Peakdale[46]) were screened on all 13 crystal
structures and only ligands scoring well on more than one crystal
structure were considered. The larger databases Specs,[48] Asinex,[47] Maybridge,[49] and ZINC[50,51] were screened on the 1T7R crystal structure.
Similarity Search
A structural similarity search was
conducted on 1 and 2 using a Tanimoto coefficient
of >70% on the Specs compound database.[48] Thirty-seven compounds were purchased and four small molecules were
selected for optimization and characterization studies based on their
improved on-target activity determined by TR-FRET.
Compound General Information
All screening compounds
described in this work were purchased as commercial samples from Specs
NV.[48] Compound purity in all instances
was greater than 95% as determined by LCMS and NMR.
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Authors: Kornelia J Skowron; Kenneth Booker; Changfeng Cheng; Simone Creed; Brian P David; Phillip R Lazzara; Amy Lian; Zamia Siddiqui; Thomas E Speltz; Terry W Moore Journal: Mol Cell Endocrinol Date: 2019-06-01 Impact factor: 4.102