The hydrophobicity of many chemotherapeutic agents usually results in their nonselective passive distribution into healthy cells and organs causing collateral toxicity. Ligand-targeted drugs (LTDs) are a promising class of targeted anticancer agents. The hydrophilicity of the targeting ligands in LTDs limits its nonselective passive tissue distribution and toxicity to healthy cells. In addition, the small size of LTDs allows for better tumor penetration, especially in the case of solid tumors. However, the short circulation half-life of LTDs, due to their hydrophilicity and small size, remains a significant challenge for achieving their full therapeutic potential. Therefore, extending the circulation half-life of targeted chemotherapeutic agents while maintaining their hydrophilicity and small size will represent a significant advance toward effective and safe cancer treatment. Here, we present a new approach for enhancing the safety and efficacy of targeted chemotherapeutic agents. By endowing hydrophobic chemotherapeutic agents with a targeting moiety and a hydrophilic small molecule that binds reversibly to the serum protein transthyretin, we generated small hydrophilic drug conjugates that displayed enhanced circulation half-life in rodents and selectivity to cancer cells. To the best of our knowledge, this is the first demonstration of a successful approach that maintains the small size and hydrophilicity of targeted anticancer agents containing hydrophobic payloads while at the same time extending their circulation half-life. This was demonstrated by the superior in vivo efficacy and lower toxicity of our conjugates in xenograft mouse models of metastatic prostate cancer.
The hydrophobicity of many chemotherapeutic agents usually results in their nonselective passive distribution into healthy cells and organs causing collateral toxicity. Ligand-targeted drugs (LTDs) are a promising class of targeted anticancer agents. The hydrophilicity of the targeting ligands in LTDs limits its nonselective passive tissue distribution and toxicity to healthy cells. In addition, the small size of LTDs allows for better tumor penetration, especially in the case of solid tumors. However, the short circulation half-life of LTDs, due to their hydrophilicity and small size, remains a significant challenge for achieving their full therapeutic potential. Therefore, extending the circulation half-life of targeted chemotherapeutic agents while maintaining their hydrophilicity and small size will represent a significant advance toward effective and safe cancer treatment. Here, we present a new approach for enhancing the safety and efficacy of targeted chemotherapeutic agents. By endowing hydrophobic chemotherapeutic agents with a targeting moiety and a hydrophilic small molecule that binds reversibly to the serum protein transthyretin, we generated small hydrophilic drug conjugates that displayed enhanced circulation half-life in rodents and selectivity to cancer cells. To the best of our knowledge, this is the first demonstration of a successful approach that maintains the small size and hydrophilicity of targeted anticancer agents containing hydrophobic payloads while at the same time extending their circulation half-life. This was demonstrated by the superior in vivo efficacy and lower toxicity of our conjugates in xenograft mouse models of metastatic prostate cancer.
Most chemotherapeutic
agents are designed
to interfere with processes
inside a tumor cell. These cytotoxic drugs should be hydrophobic enough
to diffuse across cell membranes and reach their intracellular targets.
However, the hydrophobicity of these drugs will usually result in
their nonselective passive distribution into healthy cells and organs
resulting in collateral toxicity. Therefore, strategies that minimize
the toxicity of these cytotoxic agents toward healthy cells while
maintaining their potency on tumor cells are highly desirable. One
attractive strategy for achieving the required therapeutic potency
with minimal toxicity is through targeted cancer therapy.[1] Antibody–drug conjugates (ADCs) represent
a promising approach for cancer therapy that involves conjugation
of the cytotoxic agent to antibodies targeted to specific tumor antigens.
While the large size of ADCs (size ∼150 kDa) limits the nonselective
distribution of the cytotoxic agent into healthy cells and tissues,
it also reduces their rate of diffusion and extent of penetration
into solid tumor tissues. Therefore, the majority of approved ADCs
and the ones in clinical trials are used in hematologic cancers. The
limited number of ADCs used in the treatment of solid tumors led many
to explore alternative, smaller-format drug conjugates with better
tumor penetrating properties.[2−4]Ligand-targeted drugs (LTDs)
that employ low-molecular weight hydrophilic
small molecules or peptides as targeting moieties (e.g., vintafolide,
etarfolatide, and 177Lu-PSMA-617) are a promising new class
of targeted cancer therapeutics.[1,2] The small size of LTDs
(typically ∼1 to 5 kDa) allows for better tumor penetration,
especially in the case of solid tumors. In addition, the hydrophilicity
of the targeting ligand increases the overall hydrophilicity of the
hydrophobic cytotoxic payload in the LTD, which limits its nonselective
passive tissue distribution and toxicity to healthy cells. On the
other hand, hydrophilic small molecules are readily cleared through
the kidneys within 30 min of injection (size cutoff for molecules
to be cleared through glomerular filtration is ∼30 kDa).[5] The short in vivo half-life (t1/2) of LTDs (e.g., t1/2 for
vintafolide and etarfolatide is ∼25 min) reduces their exposure
to receptor-expressing target tissues which prevents optimal tumor
uptake.[2] Therefore, dose-limiting toxicity
is observed due to the need for high doses and frequent administration.[6]Conjugation of polyethylene glycol (PEG)
polymers (∼20 to
40 kDa) to LTDs has extended their in vivo t1/2. However, the large size of PEG impedes the penetration
of these LTDs deep in the solid tumor tissue, with most of the conjugates
concentrated near the perfusing blood vessels.[3] Conjugation of hydrophobic small-molecule albumin binders to radioimaging
LTDs, containing hydrophilic DOTA chelators as the payload, has resulted
in small conjugates with extended circulation time and higher tumor
uptake.[7,8] Unfortunately, the albumin binding approach
has not been successfully used with LTDs containing cytotoxic therapeutic
payloads, where the warheads are typically ultrapotent hydrophobic
small molecules (e.g., auristatins and maytansinoids). In this case,
conjugation to the lipophilic albumin binders will increase the overall
hydrophobicity of LTDs, which could make them prone to aggregation,
micelle formation, or nonspecific diffusion and adsorption to off-target
cells.[2] Therefore, extending the in vivo t1/2 of LTDs while maintaining their hydrophilicity
and smaller size, which are crucial for selectivity and better tumor
penetration, will represent a significant advance toward effective
and safe cancer treatment.Our group has previously repurposed
a derivative of the potent
transthyretin (TTR; a 56 kDa serum protein present at ∼5 μM
concentration, Figure a) stabilizer, AG10 (1) for a t1/2 extension approach for peptides.[9,10] AG10
is currently in Phase III clinical trials for TTR cardiac amyloidosis.
We developed linker-modified AG10 molecules that were conjugated to
hydrophilic peptides (e.g., GnRH; Log P −3.6), which resulted
in enhanced in vivo t1/2 of the peptide
conjugates.[9] We hypothesized that such
an approach could be utilized to enhance the safety and efficacy of
targeted anticancer agents containing hydrophobic payloads. However,
the linker we used in these first generation TTR binders was a lipophilic
alkyl linker. Therefore, conjugation of these TTR binders to a hydrophobic
cytotoxic agent such as monomethyl auristatin E (MMAE; Log P + 3.1)
would not result in conjugates with an overall hydrophilic character.
We anticipate these conjugates to have nonselective passive diffusion
into healthy cells. We hypothesize that by increasing the hydrophilicity
of the TTR ligands we could balance the effect of the hydrophobic
MMAE in the conjugates. This would confer overall hydrophilicity on
cytotoxic conjugates, limiting their passive diffusion into healthy
cells.
Figure 1
Crystal structure of TTR bound to AG10 and modeled hydrophilic
TTR ligands. (a) Crystal structure of homotetrameric TTR bound to
AG10, with monomers colored individually (PDB ID: 4HIQ).[10] Two AG10 molecules are bound in the two thyroxine (T4) binding site in TTR. (b–d) Close-up views of modeled
TTR ligand 2, 3, and 4 bound
in one of the two TTR T4 pockets. The putative salt bridges
between the amine group of TTR ligands 2 and 4 with Glu54/Glu54′ of TTR are shown as dashed lines and the
distances are given in Å.
Crystal structure of TTR bound to AG10 and modeled hydrophilic
TTR ligands. (a) Crystal structure of homotetrameric TTR bound to
AG10, with monomers colored individually (PDB ID: 4HIQ).[10] Two AG10 molecules are bound in the two thyroxine (T4) binding site in TTR. (b–d) Close-up views of modeled
TTR ligand 2, 3, and 4 bound
in one of the two TTR T4 pockets. The putative salt bridges
between the amine group of TTR ligands 2 and 4 with Glu54/Glu54′ of TTR are shown as dashed lines and the
distances are given in Å.Herein, we developed a second generation hydrophilic
TTR ligands
and demonstrated that they can be utilized in a targeted drug delivery
system that enhances the safety and efficacy of targeted anticancer
agents containing hydrophobic cytotoxic agents. We show that conjugation
of the new TTR ligands to LTDs, targeting prostate cancer (PCa) cells,
maintains the overall hydrophilicity of the conjugates. Because of
their hydrophilicity, and ability to bind to TTR, our conjugates displayed
reduced toxicity toward healthy cells (by limiting nonselective passive
tissue distribution). In addition, the TTR ligands also allow these
conjugates to bind reversibly to circulating endogenous TTR, which
increased their in vivo t1/2 in rats and
mice. Our approach has the unique advantage of maintaining the overall
hydrophilicity and small size of these conjugates, while at the same
time enhancing their circulation t1/2.
This was translated into superior in vivo efficacy of our conjugates,
compared to typical LTDs, in mouse xenograft tumor models of metastatic
PCa.
Experimental Section
Materials and Reagents
Prealbumin
from human plasma
(human TTR) was purchased from Sigma (Sigma: #P1742). Amplex Red Glutamic
Acid/Glutamate Oxidase Assay Kit (Invitrogen, Fisher Scientific; Molecular
Probes, A12221). N-Acetylaspartylglutamate (NAAG; MP Biomedicals,
ICN15303625), rhPSMA (R&D Research, 4234ZN010). rhPSMA (20 μM
in reaction buffer; R&D Research, 4234ZN010), PMPA obtained from
Tocris (cat # 13–801–0). Human prostate carcinoma cell
lines LNCaP (PSMA+) (ATCC CRL-1740) and DU145 (PSMA−) (ATCC
HTB81) cell lines were obtained from American Type Culture Collection
(ATCC), Manassas, USA. Cathepsin B from human liver was purchased
from Calbiochem, EMD Millipore Corp (# 219362–50UG). Rabbit
anti-RBP4 antibody was purchased form Abcam (#ab154914). IRdye800
donkey antirabbit secondary antibody was purchased from LI-COR Biosciences
(#926–32213).
Chemical Synthesis and HPLC Purity Analysis
The synthesis
of TFM1–3 and BFM1–2 is described in Schemes and 2. This approach allowed the generation of TFMs and BFMs with uniform
composition and high purity (>95% purity; the fully described synthesis,
aqueous solubility, and HPLC purity analysis of TTR ligands, TFMs,
and BFMs can be found in the Supporting Information).
Scheme 1
Synthesis of BFM1 and TFM1: TTR Ligand 2 (Blue), PSMA
Ligand (Black),
Payload (Cy7 in Red), and Linker System (Magenta)
Scheme 2
Synthesis of BFM2, TFM2, and TFM3: TTR Ligand 2 (Blue),
PSMA Ligand
(Black), Payload (MMAE in Red), and Linker System (Magenta)
In Silico Modeling Studies
The geometry optimization
of the ligand 2, 3, 4, and
TFM3 was carried out at the hybrid density functional B3LYP level[11] with 6-31G(d)[12,13] basis set
using Gaussian 09[14] program package. To
confirm the optimized geometry is at minimum, frequency calculations
were carried out on the optimized geometries. The docking experiments
were carried out using Dock6.[15] The crystal
structure of TTR (pdb id: 4HIQ)[10] and the PSMA (pdb id: 2XEF)[16] were obtained from RCSB.org. UCSF Chimer program[17] was used to analyze
and visualize the proteins and docking complex structures. Because
of the large size of TFM3, smaller versions of the ligands were prepared
for the docking. After docking PSMA and TTR with TFM3, the best protein–ligand
docking complex was identified for each protein and they were superimposed
onto the full TFM3 anchoring both ligand 2 and 22 conjugated to vcMMAE.
Evaluation of Binding Affinity
of Ligands to TTR in Buffer
The affinity of 2, 3, 4 and
TFM1–3 to TTR was determined by their ability to displace FP
probe from TTR using previously reported fluorescence polarization
(FP) assay.[18] Serial dilutions of 2, 3, 4, and TFM1–3 (0.010
μM to 20 μM) were added to a solution of FP-probe (50
nM) and TTR (300 nM) in assay buffer (PBS pH 7.4, 0.01% Triton-X100,
1% DMSO in 25 μL final volumes) in 384-well plate. The samples
were allowed to equilibrate by agitation on a plate shaker for 20
min at room temperature. Fluorescence polarization (excitation λ
485 nm, emission λ 525 nm, Cutoff λ 515 nm) measurements
were taken using a SpectraMax M5Microplate Reader (Molecular Devices).
The IC50 values were obtained by fitting the data to the
following equation [y = (A – D)/(1 + (x/C)B) + D], where A = maximum FP signal, B =
slope, C = apparent binding constant (Kapp), and D = minimum FP signal. The binding constant (Kd) values were calculated using the Cheng–Prusoff
equation from the IC50 values. All reported data represent
the mean ± s.d. (n = 3).
Evaluation of Binding Affinity
and Selectivity of Ligands to
TTR in Human Serum
The binding affinity and selectivity of
ligands 2, 3, 4, and TFM1–3
to TTR were determined by their ability to compete with the binding
of a fluorescent probe exclusion (FPE probe) binding to TTR in human
serum as previously reported.[19,20] AG10 and Tafamidis
were used as controls. An aliquot (98 μL) of human serum was
mixed with 1 μL of test compounds (1.0 mM stock solution in
DMSO; 10 μM final concentration in serum) and 1 μL of
FPE probe (0.36 mM stock solution in DMSO; 3.6 μM final concentration
in serum). The fluorescence changes (λex = 328 nm
and λem = 384 nm) were monitored every 15 min using
a SpectraMax M5 microplate reader for 6 h at 25 °C.
PSMA Enzyme
Inhibition Assay for Evaluating the Preferential
Binding of TFM1–3 for PSMA over TTR
Test compounds
(TFM1–3 and BFM1–2) were assayed for their ability to
inhibit PSMA-catalyzed hydrolysis of N-acetylaspartylglutamate (NAAG)
to glutamate and N-acetylaspartate (NAA) in the PSMA enzyme inhibition
assay using the Amplex Red Glutamic Acid/Glutamate Oxidase Assay Kit.
PMPA and ligand 22 were used as positive controls. A
10 mM solution of N-acetylaspartylglutamate (NAAG; MP Biomedicals,
ICN15303625) in 40 mM NaOH was diluted to 40 μM in reaction
buffer (0.1 M Tris·HCl, pH 7.5), and the solution was added to
a 384-well plate (10 μL per well). To measure PSMA/NAAG Km, the NAAG solution was serially diluted (2×) to obtain
final NAAG concentrations ranging from 390 nM to 100 μM (prepared
from the 10 mM stock). For IC50 measurements, the inhibitors
in reaction buffer containing 40 μM NAAG solution were serially
diluted (4× with buffer containing 40 μM NAAG) to obtain
final inhibitor concentrations ranging from 1.5 nM to 100 μM.
To evaluate the ligands ability to inhibit PSMA in the presence of
transthyretin, TTR was also added (at 1 μM final concentration)
to the test compounds. To initiate reactions, rhPSMA
(20 μM in reaction buffer), was added to each well to a final
concentration of 60 ng/mL. The plate was incubated at 37 °C for
30 min and then was heated to 90 °C for 1 min. After cooling,
Amplex reaction mixture was added at a 1:1 volumetric ratio and incubated
at 37 °C for 1 h. Fluorescence intensities were measured using
a SpectraMax M5 microplate reader with excitation and emission filters
of 545 and 590 nm, respectively. Ki values
were calculated using the Cheng–Prusoff equation from IC50 and K values
(calculated using GraphPad Prism 8 software). All reported data represent
the mean ± s.d. (n = 3).
In Vitro Analysis of Efficacy
of MMAE Release Following Cathepsin
B Cleavage
Cathepsin B, extracted from human liver, was obtained
frozen at 15.5 μM in 20 mM sodium acetate and 1 mM EDTA at pH
5.0. The enzyme was incubated with 25 mM sodium acetate, 1 mM EDTA,
and 9.2 mM DTT at pH 5.5 for 15 min at ambient temperature for activation.
In the MMAE release assay, the activated cathepsin B at a final concentration
of 100 nM was mixed with free MMAE, BFM2, TFM2, and TFM3 at a final
concentration of 20 μM in the reaction buffer (25 mM sodium
acetate and 1 mM EDTA at pH 5.5) at 37 °C. Sample aliquots were
taken at 0, 15 min, 30 min, 1 h, and 2 h. Each aliquot of sample was
immediately quenched by adding HPLC solvent (acetonitrile–water;
95:5 v/v, 0.1% formic acid), mixed by vortexing, placed at −20
°C for 5 min, centrifuged at 15 000 rpm for 5 min, and
the supernatant was analyzed by HPLC (gradient method increasing linearly
from 0 to 100% solvent B in 20 min) for quantifying the release of
free MMAE. HPLC detection was performed at 210 nm UV absorbance because
of the low absorbance of MMAE at 254 nm. The identity of MMAE was
also confirmed by LC–MS/MS.
Evaluating Effect of TTR
on Cytotoxicity of TFMs Against Prostate
Cancer Cells
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
bromide (MTT) assay was performed using CellTiter 96 Non-Radioactive
Cell Proliferation Assay to determine cell viability. LNCaP (PSMA+),
DU145 (PSMA−), and HeLa cells were cultured in RPMI-1640 medium
supplemented with 10% fetal bovine serum, penicillin/streptomycin
(100 unit/mL and 100 μg/mL, respectively), and 1% l-glutamine under the humidified atmosphere of 5% CO2 and
95% air at 37 °C. The cells were grown to confluence, trypsinized,
and seeded into 96-well plates at a density of ∼5000 cells/well.
The cells were then treated with BFM2, TFM2, TFM3 (each at 0.001 nM
to 100000 nM), or MMAE (0.001 nM to 1000 nM) as positive control in
absence and presence of TTR (1 μM, 30 min preincubation with
test compounds). Control cells were also treated with the appropriate
concentration of vehicle (DMSO) in absence and presence of TTR (1
μM, 30 min preincubation). After 72 h incubation at 37 °C,
cell viability was determined following the standard CellTiter 96
Non-Radioactive Cell Proliferation Assay protocol.
Evaluating
Effect of TFM3 on Holo-RBP–TTR Interaction
in Serum
A solution of thyroxine (T4), ligand 2, and TFM3 (1 μL of 2 mM stock solution in DMSO) or
control (1 μL DMSO) was added (final compound concentrations
20 μM) to 99 μL of human serum (from human male AB plasma,
Sigma; TTR concentration ∼5 μM). The treated serum was
incubated at 37 °C for 2 h. After the incubation, all samples
were analyzed using Western blot using a procedure reported earlier.[9] In this assay, 10 μL of the serum incubated
with test compounds was added to 90 μL of buffer A (pH 7.0 PBS,
100 mM KCl, 1 mM EDTA, 1 mM DTT). For the urea sample, 10 μL
of the control serum (incubated with DMSO) was added to 90 μL
of urea buffer (buffer A containing 8 M urea). All serum samples were
then cross-linked with glutaraldehyde (final concentration of 2.5%)
for 5 min, and then quenched with 10 μL of 7% sodium borohydride
solution in 0.1 M NaOH. The samples were denatured by adding 100 μL
of SDS gel loading buffer and boiled for 5 min. Ten microliters of
each sample was separated in 16% SDS-PAGE gels. The gel was transferred
using wet transfer (Bio-Rad; buffer: 3.03 g of Tris, 14.4 g of glycine,
200 mL methanol, 800 mL water). Membrane was blocked in blocking buffer
(Sea-block blocking buffer, Fisher) for 30 min at room temperature.
The membrane was then incubated in anti-RBP antiserum at 1:500 dilution
overnight at 4 °C. After incubation, the membrane was washed
four times for 5 min each in 0.1% Tween-20 PBS at room temperature.
Then the membrane was incubated in IRdye800 donkey antirabbit secondary
antibody at 1:15 000 dilution in blocking buffer for 2 h at
room temperature. After incubation, the membrane was washed in similar
manner as above and scanned using a LI-COR Odyssey CLx Imaging System
for quantification. The free RBP band (at ∼21 kDa) was quantified
easily since it was well separated from the RBP–TTR complex
(at ∼77 kDa), which is also detected by the anti-RBP antiserum.
Experimental Animals
All rats and mice animal studies
and euthanasia were conducted in accordance with National Institutes
of Health guidelines for the care and use of live animals and were
approved by the Institutional Animal Care and Use Committee at University
of the Pacific.
Evaluation of Pharmacokinetic Profile of
BFM1, TFM1, BFM2, and
TFM3 in Rats
Jugular vein cannulated male Wistar rats (200–220
g; 6–7 weeks old) were used for this study. Animals were randomized
in four treatment groups (n = 3 animals per group
for BFM1 and TFM1; n = 4 animals per group for BFM2
and TFM3). Each animal received one intravenous dose of either BFM1
(0.1 μmol/kg), TFM1 (0.1 μmol/kg), BFM2 (0.32 μmol/kg),
or TFM3 (0.16 μmol/kg) in 200 μL saline through the jugular
vein cannula. Blood samples were collected from each rat, via jugular
vein cannula, in heparinized tubes at predetermined time points (0.083,
0.25, 0.5, 1, 2, 4, 6, 8, 12, and 24 h postdosing), and the volume
was replaced with sterile normal saline. The plasma samples were prepared
by centrifugation at 7500 rpm for 15 min at 4 °C and stored at
−80 °C until further analysis. For BFM1 and TFM1, the
plasma samples were diluted with PBS in a black 96-well microplate
with a clear bottom. LI-COR Odyssey CLx Imaging System was used to
quantitate the concentration of BFM1, and TFM1 in rat plasma. The
fluorescence intensity of each compound was determined in the 800
nm channel. The integrated intensity automatically quantified by LI-COR
Odyssey CLx Imaging System, for each sampling time point, was converted
to nM concentration by the calibration curves produced from the calibration
samples of each compound (Figure S4). For
BFM2 and TFM3, to each of the plasma samples of the standard curve,
2× volume of 100% acetonitrile was added to precipitate the proteins
in the rat plasma. The samples were vortexed for 30 s then placed
on a mechanical shaker for 10 min at medium speed. The samples were
then centrifuged at 15 000 rpm for 10 min; the supernatant
was collected and centrifuged again at 15 000 rpm for another
10 min. Subsequently, the supernatant was analyzed using validated
LC–MS/MS method (using Triple Quadrupole mass spectrometer;
AB SCIEX API-3000) to quantitate the concentration of BFM2 and TFM3
in plasma samples. Fragmentation pattern and peak areas were used
to identify and quantitate the test compounds, respectively. On the
basis of a calibration curve for these compounds in rat plasma and
the internal standard generated by the LC–MS/MS analyst, the
concentrations in the plasma samples were then plotted as their natural
logarithms against time (Figure S11). A
two compartment model (using WinNonlin) was used to obtain all the
pharmacokinetic parameters. Mean (±s.d.) concentrations of BFM1,
TFM1, BFM2, and TFM3 in the plasma samples were plotted as their natural
logarithms against time (h). A two-compartment model (using Phoenix
WinNonlin) was used to obtain all the pharmacokinetic parameters for
test compounds from their plasma concentration–time data.
In Vivo Toxicity Study in Mice
Five-week-old CD-1 male
mice (Charles River) were randomized into groups (n = 4) with similar mean body weight. The mice received either vehicle
(5% Ethanol, 10% PEG 400 and 85% sterile water), TFM3 (300 nmol/kg
and 600 nmol/kg), BFM2 (300 nmol/kg and 600 nmol/kg), or MMAE (300
nmol/kg) via intraperitoneal injection (i.p.), every 3 days, total
four doses. Body weight and food and water intake were recorded every
3 days for 12 days. Body weight changes from the beginning of treatment
for the animals were calculated as mean (±s.d.) % change from
day 0 for each group.
Xenograft Tumor Model Generation
LNCaP (PSMA+) and
DU145 (PSMA−) cells (PCa cells) were cultured in RPMI-1640
medium supplemented with 10% fetal bovine serum, penicillin/streptomycin
(100 unit/mL and 100 μg/mL, respectively) and 1% l-glutamine
under the humidified atmosphere of 5% CO2 and 95% air at
37 °C. The cells were grown to confluence, trypsinized, and washed
twice with cold HBSS (4 °C) and collected by centrifuging at
approximately 125 × g for 10 min at 4 °C.
The % viable cells were then counted using a hemocytometer and trypan
blue (final concentration 0.32%). Male athymic nude mice (nu/nu, 5-week-old,
Charles River) were subcutaneously injected with 5 × 106 LNCaP (PSMA+) cells or 1 × 106 DU145 (PSMA−)
cells, suspended in 100 μL of 1:1 (v/v) HBSS/Matrigel (Becton
Dickinson) mixture, on both flanks. Tumor volumes were measured with
digital caliper every 3 days and calculated as V = (L × W2)/2 assuming ellipsoid tumor shape. When the tumor volume
reached 100–150 mm3 (10–14 days), the mice
were randomized into groups with similar mean tumor volume for in
vivo imaging and efficacy studies.
In Vivo Imaging and Biodistribution
Study in Mouse Xenograft
Model
Mice (n = 3) bearing LNCaP (PSMA+)
and DU145 (PSMA−) tumors received either vehicle (1% DMSO,
99% sterile saline), TFM1 (17 nmol/kg), or BFM1 (17 nmol/kg) in vehicle
via tail vein injection. In vivo fluorescence imaging was performed
on one animal from each group together for both tumor models at 1,
4, 24, 48, and 72 h postinjection on LI-COR Odyssey CLx Imaging System
at excitation and emission wavelength 685 and 800 nm, respectively.
After 72 h, animals were sacrificed and tumors, liver, kidney, heart,
and blood were collected, rinsed with PBS buffer, and weighed. Ex
vivo fluorescence imaging and quantitative analysis were performed
on the collected organs for biodistribution study using LI-COR Odyssey
CLx Imaging System and Image Ready software supplied with the instrument.
Mean (±s.d.) AFU/mg values were calculated for all collected
organs and blood.
In Vivo Efficacy in Mouse Xenograft Model
Mice (n = 6) bearing LNCaP (PSMA+) and DU145 (PSMA−)
tumors
received either vehicle (5% ethanol, 10% PEG 400, and 85% sterile
water) or test compounds (either TFM3, BFM2, or MMAE, at a dose of
300 nmol/kg) in vehicle via intraperitoneal injection, every 3 days,
total four doses. Body weight, tumor volumes, and food and water intake
were recorded every 3 days for 14 days. After 14 days, animals were
sacrificed, and all tumors were excised and weighed.
Statistical
Analysis
All results are expressed as mean
± s.d. Statistical analysis was performed with GraphPad PRISM
8 software. The significance of the differences were measured by one-way
ANOVA followed by Tukey’s multiple comparison test (ns, not
significant; ∗p ≤ 0.05; ∗∗p ≤ 0.01; ∗∗∗p ≤ 0.001; ∗∗∗∗p ≤ 0.0001).
Results and Discussion
General Concept of TTR-Based
Targeted Drug Delivery System
LTDs are typically bifunctional
molecules (BFMs) that include a
targeting ligand chemically linked to a therapeutic cytotoxic payload
or imaging agent through a linker. To overcome the poor pharmacokinetics
of BFMs, while maintaining their hydrophilicity and small size, we
outfitted these BFMs with an additional arm containing the hydrophilic
TTR binding ligand (i.e., forming trifunctional molecules, TFMs).
To establish the proof of concept, we designed these TFMs to deliver
a hydrophilic small molecule imaging agent, Sulfo-Cyanine7 (Cy7; a
water-soluble indocyanine 7 dye for near-infrared (NIR) in vivo imaging)
or a lipophilic cytotoxic agent (monomethyl auristatin E, MMAE) to
PCa cells overexpressing the prostate-specific membrane antigen (PSMA)
(Figure ). PSMA is
a transmembrane protein that is largely absent from healthy tissues
but highly expressed on the surface of PCa cells and on new blood
vessels that supply nutrients to many other types of cancers.[21,22] PSMA is also highly overexpressed in metastatic castration-resistant
prostate cancer (mCRPC), and therefore, targeting PSMA is considered
a promising target both for imaging and chemotherapeutic agents.[23−25]
Figure 2
Schematic
illustration of the concept for the TTR-based targeted
drug delivery approach. TFMs comprise TTR binding ligand (blue), PSMA
ligand (black), and Payload (Cy7 or MMAE in red). The hydrophilic
TTR ligand allow TFMs to bind reversibly to circulating TTR, thereby
reducing its renal clearance and enhancing its in vivo t1/2. The overall hydrophilic nature of TFMs, in addition
to binding to TTR, would also reduce the nonselective tissue distribution
of TFMs to normal cells. The PSMA targeting module allows the TFMs
to selectively deliver the therapeutic payload of these TFMs to its
intracellular targets in PSMA+ prostate cancer (PCa) cells. The binding
affinity of TFMs to PSMA is higher than its binding to TTR, which
allows the TFMs to preferably interact with PSMA over TTR. The linker
system we used is too short to bring the two proteins in close proximity
to each other, which prevents the formation of the ternary complex.
Schematic
illustration of the concept for the TTR-based targeted
drug delivery approach. TFMs comprise TTR binding ligand (blue), PSMA
ligand (black), and Payload (Cy7 or MMAE in red). The hydrophilic
TTR ligand allow TFMs to bind reversibly to circulating TTR, thereby
reducing its renal clearance and enhancing its in vivo t1/2. The overall hydrophilic nature of TFMs, in addition
to binding to TTR, would also reduce the nonselective tissue distribution
of TFMs to normal cells. The PSMA targeting module allows the TFMs
to selectively deliver the therapeutic payload of these TFMs to its
intracellular targets in PSMA+ prostate cancer (PCa) cells. The binding
affinity of TFMs to PSMA is higher than its binding to TTR, which
allows the TFMs to preferably interact with PSMA over TTR. The linker
system we used is too short to bring the two proteins in close proximity
to each other, which prevents the formation of the ternary complex.
Development of Second-Generation
Hydrophilic TTR Ligands
We hypothesized that incorporating
hydrophilic spacers in the TTR
ligands will maintain the overall hydrophilicity of TFMs, limiting
their passive diffusion into PSMA-negative cells. To assess the positions
on linker system of the TTR ligands that could be amenable for modification,
we performed in silico modeling studies that were focused on identifying
possible interactions that could be formed between our new hydrophilic
linkers and T4 pocket of TTR. Our modeling studies suggested
that by incorporating an amine group in linker we would accomplish
two goals: (1) the amine group could potentially form an ionic interactions
(salt bridges) with the two glutamic acid residues (Glu54/Glu54′)
close to the surface of TTR; (2) the amine group will be highly protonated
under physiological pH, which would increase the hydrophilicity of
the new TTR ligands. This modification would not only increase the
affinity of the new ligands to TTR but would also increase the selectivity
for TTR in serum by decreasing nonspecific interactions with other
serum proteins such as albumin. Modeling studies suggest that a linker
length of ∼8 Å will be needed to project the amine group
close to Glu54/Glu54′. The study showed that the putative salt
bridges between the amine group and Glu54/Glu54′ do not interfere
with the major interactions (salt bridges between the carboxylate
of ligand 2 and the ε-amino groups of Lys15 and
Lys15′ and hydrogen bonds between the pyrazole nitrogens of 2 and Ser117 and Ser117′ of TTR) between the AG10 portion
of the TTR ligand and inner TTR pocket (Figure b). Therefore, we attached the amine group
through a six carbon linker to the meta-position of AG10 to give TTR
ligand 2 (Figure b). To investigate the hypothesized salt bridges with Glu54/Glu54′,
we also tested the t-Boc-protected version of 2 that
cannot form salt bridges with Glu54/Glu54′ (compound 3, Figure c). The binding affinity of ligand 3 to TTR was significantly
lower than the binding affinity of ligand 2 (discussed
further). To investigate the effect of the steric bulk of the t-Boc
group on the lower affinity, we also synthesized ligand 4 (containing a secondary amine group; Figure d) where short ethylene glycol spacer was
added to 2. Ligand 4 maintained very good
binding affinity and selectivity to TTR in buffer and serum, supporting
the formation of the hypothesized salt bridges. Therefore, we decided
to use the hydrophilic ligand 2 as the main TTR binder
in the synthesis of our TFMs.
Design and Synthesis of
TFMs and BFMs
The basic structure
of the TFMs was intended to bring together four modules in a single
construct: (i) TTR Ligand 2; (ii) PSMA targeting ligand;
(iii) therapeutic/diagnostic payload; (iv) linker system. We have
designed and synthesized three TFMs (TFM1–3; Figure ). TFM1 (5) has
the imaging dye Cy7 attached through a noncleavable linker for diagnostic
purpose. TFM2 (6) and TFM3 (7) have MMAE,
which is a highly potent hydrophobic antimitotic agent that inhibits
cell division by blocking tubulin polymerization, with TFM3 having
a slightly longer and more hydrophilic spacer than TFM2. Because of
dose-limiting toxicities, MMAE is too toxic to be administered in
its untargeted forms. However, MMAE is an established targeted drug
for a number of clinically used ADCs such as Adcetris.[26] MMAE was incorporated in TFM2 and TFM3 via a
valine-citrulline dipeptide cleavable linker, a standard linker widely
used in many successful ADCs including Adcetris.[27] The linker is designed to be stable in the bloodstream
and then release the active MMAE only when the TFMs are internalized
into the targeted cancer cell’s endosome. In all TFMs, we incorporated
a known glutamate-urea-lysine ligand for targeting PSMA. Glutamate-ureas
are low-molecular weight and high affinity PSMA ligands, which selectively
bind and then enter PSMA-expressing cells by PSMA endocytosis.[28,29] These ligands have been widely used for targeting both diagnostic
and therapeutic agents to PSMA expressing PCa cells. The total length
of the spacer and linker system required for TFMs was determined from
the distance between the proximal end of the bound Glutamate-ureas
and TTR ligand to the unobstructed protein surface of PSMA and TTR,
respectively (discussed below). As controls for typical LTDs, we also
synthesized two control BFMs: (i) BFM1 (8): a conjugate
of the dye, Cy7, and the PSMA ligand connected through a noncleavable
linker; and (ii) BFM2 (9): a conjugate of MMAE and the
PSMA ligand connected through a valine-citrulline cleavable linker
(Figure ). Since BFM1
and BFM2 lack the TTR ligand 2, they would allow us to
evaluate the effect of TTR recruitment on the performance of our TFMs.
Figure 3
Chemical
structures of TFMs and BFMs. TFMs are composed of four
modules; TTR ligand 2 (blue), PSMA ligand (black), Payload
(Cy7 or MMAE in red), and linker system (magenta). BFM1 and TFM1 incorporate
the imaging dye Cy7 attached through a noncleavable linker. MMAE was
incorporated in BFM2, TFM2, and TFM3 via a valine–citrulline
dipeptide cleavable linker. TFM3 has a slightly longer PEG spacer
that increases its hydrophilicity compared to TFM2.
Chemical
structures of TFMs and BFMs. TFMs are composed of four
modules; TTR ligand 2 (blue), PSMA ligand (black), Payload
(Cy7 or MMAE in red), and linker system (magenta). BFM1 and TFM1 incorporate
the imaging dye Cy7 attached through a noncleavable linker. MMAE was
incorporated in BFM2, TFM2, and TFM3 via a valine–citrulline
dipeptide cleavable linker. TFM3 has a slightly longer PEG spacer
that increases its hydrophilicity compared to TFM2.We have developed an efficient modular approach
for the synthesis
of TFM1–3 and BFM1–2 (Schemes and 2). Short ethylene
glycol spacers were initially attached to ligand 2, which
was required to clear the thyroxine (T4) binding site of
TTR. In addition, ethylene glycol spacers would further enhance the
hydrophilicity of ligand 2. The terminal end of the spacers
was equipped with an azide group, which was used to construct the
TFMs by click coupling with an alkyne group that was introduced on
the PSMA ligand. This approach allowed the generation of TFMs with
uniform composition and high purity (>95% purity; the fully described
synthesis and HPLC purity analysis of TTR ligands, TFMs, and BFMs
can be found in the Supporting Information).
Evaluation of Binding Affinity
and Selectivity of Ligand 2 and
TFM1–3 to TTR in Buffer and Serum
The binding affinity
(Kd) of ligand 2 and TFM1–3
to human TTR was evaluated using fluorescence polarization (FP) binding
assay.[18] Ligand 2 binds TTR
with high affinity (Kd = 48.9 nM; Figure a), which could be
due to the ability of 2 to form salt bridges with Glu54
(Figure b). The putative
salt bridges between the amine of 2 and Glu54 were also
supported by the significant difference between the binding affinity
of ligands 3 and 4. While there was a 20-fold
decrease in binding of 3 (where the amine group is masked
by a t-Boc group) to TTR (Kd = 1040 nM),
ligand 4 maintained very good binding affinity (Kd = 107.5 nM). The binding affinity of TFM2
to TTR (Kd = 497.7 nM) was similar to
that of TFM3 (Kd = 553.4 nM), while the
binding affinity of TFM1 was slightly higher (Kd = 374.1 nM) (Figure a). It is clear that attaching the MMAE or Cy7 to 2 resulted in lower binding affinity to TTR. However, this decrease
in TTR binding affinity might be useful for allowing the molecules
to preferably interact with PSMA.
Figure 4
Binding affinity
of TFMs to TTR and PSMA in buffer and human serum
and effect of TTR on extending the t1/2 of TFM1 and TFM3 in rats. (a) Evaluation of the binding affinity
of test compounds (0.01 μM to 20 μM) to TTR in buffer
using fluorescence polarization assay. The binding constant (Kd) values were calculated using the Cheng–Prusoff
equation from IC50 values. Data represent the mean ±
s.d. (n = 3). (b) Fluorescence change caused by modification
of TTR in human serum (TTR concentration, ∼5 μM) by covalent
FPE probe monitored for 6 h in the presence of FPE probe alone (black
circles) or probe and TTR ligands (colors; 10 μM). The lower
the binding and fluorescence of FPE probe, the higher is the binding
selectivity of ligand to TTR. (c) Bar graph representation of percent
occupancy of TTR in human serum by TFMs in the presence of FPE probe
measured after 3 h of incubation relative to probe alone. Error bars
indicate mean ± s.d. (n = 4). (d) Evaluation
of the inhibitory activity of test compounds (1.5 nM to 100 μM)
on PSMA-catalyzed cleavage of N-acetylaspartylglutamate (NAAG). Ki values were calculated using the Cheng–Prusoff
equation from IC50 and K values. Data represent the mean ± s.d. (n = 3). (e, f) Pharmacokinetic properties of test compounds were evaluated
in male Wistar rats. (e) Single intravenous bolus dose of TFM1 or
BFM1 (0.1 μmol/kg) was administered to two groups of male rats
(n = 3 for each group). The concentration of test
compounds in plasma was determined at different time points. Concentrations
are expressed as means ± s.d. of three biological replicates.
(f) BFM2 (0.32 μmol/kg) and TFM3 (0.16 μmol/kg) were evaluated
following a single intravenous bolus dose to two groups of male rats
(n = 4 for each group). The concentration of test
compounds in plasma was determined at different time points. Concentrations
are expressed as means ± s.d. of four biological replicates.
Binding affinity
of TFMs to TTR and PSMA in buffer and human serum
and effect of TTR on extending the t1/2 of TFM1 and TFM3 in rats. (a) Evaluation of the binding affinity
of test compounds (0.01 μM to 20 μM) to TTR in buffer
using fluorescence polarization assay. The binding constant (Kd) values were calculated using the Cheng–Prusoff
equation from IC50 values. Data represent the mean ±
s.d. (n = 3). (b) Fluorescence change caused by modification
of TTR in human serum (TTR concentration, ∼5 μM) by covalent
FPE probe monitored for 6 h in the presence of FPE probe alone (black
circles) or probe and TTR ligands (colors; 10 μM). The lower
the binding and fluorescence of FPE probe, the higher is the binding
selectivity of ligand to TTR. (c) Bar graph representation of percent
occupancy of TTR in human serum by TFMs in the presence of FPE probe
measured after 3 h of incubation relative to probe alone. Error bars
indicate mean ± s.d. (n = 4). (d) Evaluation
of the inhibitory activity of test compounds (1.5 nM to 100 μM)
on PSMA-catalyzed cleavage of N-acetylaspartylglutamate (NAAG). Ki values were calculated using the Cheng–Prusoff
equation from IC50 and K values. Data represent the mean ± s.d. (n = 3). (e, f) Pharmacokinetic properties of test compounds were evaluated
in male Wistar rats. (e) Single intravenous bolus dose of TFM1 or
BFM1 (0.1 μmol/kg) was administered to two groups of male rats
(n = 3 for each group). The concentration of test
compounds in plasma was determined at different time points. Concentrations
are expressed as means ± s.d. of three biological replicates.
(f) BFM2 (0.32 μmol/kg) and TFM3 (0.16 μmol/kg) were evaluated
following a single intravenous bolus dose to two groups of male rats
(n = 4 for each group). The concentration of test
compounds in plasma was determined at different time points. Concentrations
are expressed as means ± s.d. of four biological replicates.For our approach to work in
vivo, TFMs must be able to selectively bind to TTR in the presence
of >4000 other human serum proteins. We evaluated the selectivity
of ligand 2 and TFM1–3 binding to TTR in human
serum using a well-established TTR serum fluorescent probe exclusion
(FPE) selectivity assay.[19,20] The FPE assay is based
on employing a fluorescent conjugate competition assay using a probe
(covalent-probe) that binds selectively to TTR in serum and then covalently
modifies the Lys15 amino acid at the periphery of the T4 pocket, creating a fluorescent conjugate. Ligands that bind selectively
to TTR in serum decrease the binding of covalent-probe to TTR, thus
lowering the fluorescence. Our data showed that ligands 2 and 4 had a much higher TTR occupancy (80.4 ±
0.7% and 71 ± 2.6%, respectively) compared to compound 3 (33.4 ± 0.8%) (Figure b,c). TFM1, TFM2, and TFM3 maintained very good binding
selectivity to TTR in serum (57.6 ± 1.9%, 56.1 ± 2.8%, and
63.6 ± 1.6% TTR occupancy, respectively). The lower performance
of TFMs in the FPE assay, compared to that of ligands 2 and 4, is more likely due to the lower binding affinity
of TFMs to TTR and possibly some binding to other serum proteins.
Importantly, the performance of all TFMs was similar or better than
that of TTR stabilizer, tafamidis[30] (an
approved drug for TTR amyloidosis; 50.8 ± 2.0% TTR occupancy)
(Figure b,c).
Evaluation
of Binding Affinity
of TFM1–3 to PSMA and
Ability of TFM1–3 To Preferentially Interact with PSMA in the
Presence of TTR
TFMs must first bind to TTR in serum but
should also be able to leave TTR and bind to PSMA on the surface of
PCa cells. This could be a mutually exclusive binding which is governed
by the equilibrium constants of TFMs to TTR and PSMA (the desired
outcome, assuming TFMs binding affinity is higher for PSMA than for
TTR) or TFMs could bind both TTR and PSMA at the same time resulting
in a drop in binding potency (the undesired outcome that is analogous
to the PEGylation approach). Therefore, we tested the ability of TFM1–3
to preferentially bind to PSMA over TTR.We used a standard
PSMA enzymatic inhibition assay to test the activity of TFM1–3
(Figure d). This assay
measures the ability of test molecules to bind and inhibit (Ki) PSMA-catalyzed cleavage of the peptide substrate
N-acetylaspartylglutamate (NAAG). The activity of the spacer-modified
glutamate-urea-lysine ligand 22 (Figure S1) on PSMA (Ki of 9.5
nM) was close to that of the potent and selective PSMA competitive
inhibitor, PMPA (Ki = 4.5 nM). The bifunctional
molecules, BFM1 and BFM2, also bind to PSMA with high affinity (BFM1 Ki = 20.7 nM and BFM2 Ki = 7 nM). There was a decrease in the binding affinity of
TFM1 (with Cy7) to PSMA (Ki = 32.8 nM).
The binding affinity of TFM1 to PSMA did not change when excess TTR
(1 μM TTR compared to 1 nM PSMA) was present in the assay (Ki = 33.8 nM). A very similar pattern was observed
for the MMAE conjugates, TFM2 (Ki = 7.2
nM and 11.3 nM in the absence and presence of TTR, respectively) and
TFM3 (Ki = 14.7 nM and 16.4 nM in the
absence and presence of TTR, respectively). Importantly, the binding
affinity of TFM1–3 to PSMA (Kd ∼7
to 33 nM) is higher than their binding to TTR (Kd for TTR ∼350 to 500 nM, determined by FP above), which
should enable the TFMs to leave TTR in serum and bind to PSMA on the
surface of PCa cells.We do not anticipate that a major fraction
of TFMs could bind to
PSMA and TTR simultaneously. The formation of such ternary complex
would have resulted in a large decrease in the binding affinity of
TFMs to PSMA when the bulky TTR (56 kDa) is present. In addition,
modeling studies of TFM3 with both TTR and PSMA suggested that the
linker we used (∼16 Å) is too short to bring the two proteins
in close proximity to each other (a linker of at least 21 Å is
required to form the ternary complex between TTR, PSMA, and TFM3, Figure S2 and S3).
TTR Extended Circulation t1/2 of
TFM1 in Rats
Rat and mouse TTR (conc. in both ∼ 5
μM)[31,32] have ∼80% sequence homology with
human TTR at the protein levels.[33,34] Most of the
sequence differences occur in peripheral loop regions, while all the
amino acids in the T4 binding sites, where TFMs bind, are
conserved between rat, mouse, and human. Therefore, we do not expect
appreciable differences in the binding of TFMs between human and rat
or mouse TTR. In addition to increasing the metabolic stability of
TFMs in blood, we hypothesize that binding to TTR will also reduce
glomerular filtration of TFMs due to the large size of TTR:TFM complex
(∼58 kDa).We have evaluated the pharmacokinetic properties
of TFM1 and BFM1 (both containing the Cy7 dye with noncleavable linker)
in rats. TFM1 and BFM1 (typical bifunctional ligand-targeted molecule;
i.e., TFM1 without ligand 2) were administered as single
IV doses (0.1 μmol/kg) to two groups of jugular vein cannulated
male rats (Figure e). Blood samples were withdrawn from the jugular vein cannula at
predetermined time points (ranging from 5 min to 24 h) and concentrations
of test compounds were quantitated in plasma (Figure S4). Consistent with our hypothesis, the pharmacokinetic
profile of TFM1 was markedly different than BFM1. The concentrations
of TFM1 were significantly higher than BFM1 concentrations at any
given time. While there was no measurable amount of BFM1 after 4 h,
TFM1 was still present even after 24 h (Figure e). There was ∼6.6-fold increase in
the t1/2 of TFM1 compared to BFM1 (t1/2 = 5.03 ± 0.18 h vs 0.76 ± 0.04
h, respectively). The mean residence time (MRT) was also ∼16-fold
higher for TFM1 compared to BFM1 (5.27 ± 0.35 h and 0.32 ±
0.02 h, respectively). These data strongly support and validate our
approach that TTR recruitment can indeed enhance the t1/2 and pharmacokinetic profile of TFMs in vivo.
TTR Enhanced
Targeting of TFM1 to PSMA-Positive Cells in Xenograft
Mouse Models of Metastatic Prostate Cancer
We evaluated the
in vivo tumor specificity of TFM1 and BFM1 in mice bearing PCa tumor
xenografts. Tumor models were generated by injecting LNCaP (PSMA+
lymph node prostate cancer; ∼106 PSMA copies/cell)[35,36] and DU145 (PSMA−)[35] PCa cells
subcutaneously into the flanks (left and right) of male athymic nu/nu mice. Once the tumor volume was 100–150
mm3, mice were randomized in groups (with similar mean
tumor volume) and injected with TFM1, BFM1 (17 nmol/kg) or vehicle
(sterile saline) via tail vein injection. Whole body imaging of mice
was conducted at the designated time points after injection (1, 4,
24, 48, and 72 h) using LI-COR Odyssey CLx Imaging System (Figure a). The in vivo imaging
showed that the fluorescence signal for BFM1 in both models was significantly
reduced at 4 h postinjection and reduced to the background level at
24 h. In contrast, TFM1 maintained a very high fluorescence signal
at 4 h and the signal was maintained for up to 48 h postinjection.
These data support the in vivo pharmacokinetic profile of BFM1 and
TFM1 observed in rats (Figure e).
Figure 5
In vivo
fluorescence imaging and ex vivo biodistribution and tumor
targeting analysis of TFM1 in a xenograft mouse models of human metastatic
prostate cancer. (a) Representative in vivo images of male athymic
nu/nu mice (n = 3) bearing LNCaP (PSMA+) or DU145
(PSMA−) tumors, injected with vehicle, TFM1, or BFM1 at a dose
of 17 nmol/kg via tail vein injection and scanned at 1, 4, 24, 48,
and 72 h using LI-COR Odyssey CLx Imaging System at excitation and
emission wavelength 685 and 800 nm, respectively. (b) 72 h postinjection,
mice were sacrificed, and ex vivo tissue biodistribution analysis
was performed by imaging of the excised tumors, liver, kidneys, heart,
and blood samples. AFU/mg of excised organs and blood after 72 h.
Bar graph showing the respective mean (±s.d.) (n = 6 for tumors or n = 3 for other organs). (c)
Representative ex vivo images of excised LNCaP and DU145 tumors after
72 h and bar graph showing the respective mean (±s.d.) AFU/mg
of excised tumors (n = 6). The significance of differences
was measured by one-way ANOVA followed by Tukey’s multiple
comparison test (ns, not significant; ∗p ≤
0.05; ∗∗p ≤ 0.01; ∗∗∗p ≤ 0.001; ∗∗∗∗p ≤ 0.0001).
In vivo
fluorescence imaging and ex vivo biodistribution and tumor
targeting analysis of TFM1 in a xenograft mouse models of human metastatic
prostate cancer. (a) Representative in vivo images of male athymic
nu/nu mice (n = 3) bearing LNCaP (PSMA+) or DU145
(PSMA−) tumors, injected with vehicle, TFM1, or BFM1 at a dose
of 17 nmol/kg via tail vein injection and scanned at 1, 4, 24, 48,
and 72 h using LI-COR Odyssey CLx Imaging System at excitation and
emission wavelength 685 and 800 nm, respectively. (b) 72 h postinjection,
mice were sacrificed, and ex vivo tissue biodistribution analysis
was performed by imaging of the excised tumors, liver, kidneys, heart,
and blood samples. AFU/mg of excised organs and blood after 72 h.
Bar graph showing the respective mean (±s.d.) (n = 6 for tumors or n = 3 for other organs). (c)
Representative ex vivo images of excised LNCaP and DU145 tumors after
72 h and bar graph showing the respective mean (±s.d.) AFU/mg
of excised tumors (n = 6). The significance of differences
was measured by one-way ANOVA followed by Tukey’s multiple
comparison test (ns, not significant; ∗p ≤
0.05; ∗∗p ≤ 0.01; ∗∗∗p ≤ 0.001; ∗∗∗∗p ≤ 0.0001).The mice were sacrificed 72 h postinjection, and
ex vivo tissue biodistribution analysis was performed by imaging of
the excised tumors, liver, kidneys, heart, and blood samples. These
studies demonstrated that TFM1 and BFM1 accumulated predominantly
in PSMA expressing LNCaP tumors, with no substantial fluorescence
activity in other tissues except kidneys (Figure b). The superior selectivity of TFM1 for
PSMA+ tumors was also demonstrated by ex vivo imaging of excised tumors
which showed a ∼7-fold higher fluorescent signal in LNCaP compared
to DU145 tumors (Figure c). There was a ∼3-fold enhanced uptake of TFM1 in LNCaP compared
to BFM1. This indicates that the enhanced tumor uptake of TFM1 in
LNCaP (PSMA+) tumors is due to the extended circulation t1/2 of TFM1 compared to BFM1, particularly since the binding
affinity of BFM1 to PSMA in buffer was found to be higher than that
of TFM1 (Ki = 20.7 nM and 33.8 nM, respectively).
TFM2 and TFM3 Efficiently Release MMAE Following Cathepsin B
Cleavage in Buffer
For TFMs to efficiently deliver MMAE to
the cytosol, they must be cleaved by cathepsin B inside the lysosomes
of target cancer cells. An in vitro enzymatic reaction model was constructed
to mimic the in vivo cathepsin B cleavage of the valine-citrulline
linker connecting MMAE to TFM2 and TFM3. The efficiency of MMAE release
from the intact TFMs was assessed by treating TFM2 and TFM3 with cathepsin
B (isolated from human liver) in buffer (pH 5.5; optimal pH of cathepsin
B, which is close to the pH in the lysosome) at 37 °C. The release
of active MMAE from TFMs was analyzed by analytical HPLC as a function
of time. MMAE and individual intact TFMs were injected as standards
to identify the corresponding species in the reaction mixture. Incubation
of BFM2, TFM2, and TFM3 (20 μM) with cathepsin B (100 nM) resulted
in efficient MMAE release (98%) within 15 min (Figure a and Figure S5). LC–MS/MS analysis of TFM3 further confirmed the release
of MMAE and a fragment that contained compound 2 and
PSMA ligand.
Figure 6
TFMs efficiently release
MMAE after cathepsin B cleavage and have
selective cytotoxicity on LNCaP (PSMA+) versus DU145 (PSMA−)
cells. (a) Valine–citrulline dipeptide cleavable linker TFM3
is efficiently cleaved (within 15 min in buffer) by cathepsin B hydrolysis
(step a) and spontaneous fragmentation (step b) of the para-aminobenzylcarbamate
intermediate. The formation of free MMAE and Fragment A after cleavage
of TFM3 was confirmed by HPLC and LC–MS/MS analysis. Similar
results were obtained for cathepsin B hydrolysis of TFM2 and BFM2
as shown in Figure S5. The HPLC spectrum
is a representative of triplicate experiments (n =
3). (b–e) Selective uptake of BFM2, TFM2, and TFM3 by PSMA
receptors and the effect of TTR on lowering the cytotoxicity of TFM2
and TFM3 on PSMA– cells. MTT cell proliferation assay was used
to determine the cytotoxicity of MMAE, BFM2, TFM2, and TFM3 against
LNCaP (PSMA+) and DU145 (PSMA−) cell lines in the absence and
presence of TTR. (b) MMAE shows similar cytotoxicity against LNCaP
and DU145 cell lines regardless of the absence and presence of TTR.
(c) Selective cytotoxicity of BFM2 against LNCaP (PSMA+) compared
to DU145 (PSMA−) cell lines. The activity of BFM2 on these
cell lines was similar in the absence and presence of TTR. Selective
cytotoxicity of (d) TFM2 and (e) TFM3 against LNCaP (PSMA+) compared
to DU145 (PSMA−) cell lines. Both TFM2 and TFM3 were less toxic
against DU145 (PSMA−) cell lines in the presence of TTR. Each
time point is expressed as means ± s.d. (n =
5).
TFMs efficiently release
MMAE after cathepsin B cleavage and have
selective cytotoxicity on LNCaP (PSMA+) versus DU145 (PSMA−)
cells. (a) Valine–citrulline dipeptide cleavable linker TFM3
is efficiently cleaved (within 15 min in buffer) by cathepsin B hydrolysis
(step a) and spontaneous fragmentation (step b) of the para-aminobenzylcarbamate
intermediate. The formation of free MMAE and Fragment A after cleavage
of TFM3 was confirmed by HPLC and LC–MS/MS analysis. Similar
results were obtained for cathepsin B hydrolysis of TFM2 and BFM2
as shown in Figure S5. The HPLC spectrum
is a representative of triplicate experiments (n =
3). (b–e) Selective uptake of BFM2, TFM2, and TFM3 by PSMA
receptors and the effect of TTR on lowering the cytotoxicity of TFM2
and TFM3 on PSMA– cells. MTT cell proliferation assay was used
to determine the cytotoxicity of MMAE, BFM2, TFM2, and TFM3 against
LNCaP (PSMA+) and DU145 (PSMA−) cell lines in the absence and
presence of TTR. (b) MMAE shows similar cytotoxicity against LNCaP
and DU145 cell lines regardless of the absence and presence of TTR.
(c) Selective cytotoxicity of BFM2 against LNCaP (PSMA+) compared
to DU145 (PSMA−) cell lines. The activity of BFM2 on these
cell lines was similar in the absence and presence of TTR. Selective
cytotoxicity of (d) TFM2 and (e) TFM3 against LNCaP (PSMA+) compared
to DU145 (PSMA−) cell lines. Both TFM2 and TFM3 were less toxic
against DU145 (PSMA−) cell lines in the presence of TTR. Each
time point is expressed as means ± s.d. (n =
5).
Evaluating Effect of TTR
on Cytotoxicity
of TFMs against PSMA-Expressing
PCa Cells
We have tested the activity of free MMAE and MMAE
containing compounds (BFM2, TFM2, and TFM3) against LNCaP (PSMA+)
and DU145 (PSMA−) cells. MMAE was very potent against both
LNCaP (IC50 = 1.06 nM) and DU145 (IC50 = 1.08
nM) (Figure b). The
activity of BFM2, TFM2, and TFM3 on LNCaP (IC50 = 4.4 nM,
5.4 nM, and 3.5 nM, respectively) was higher than their activity on
DU145 (IC50 = 909 nM, 313 nM, and 243 nM, respectively)
(Figure c–e).
This supports the targeting effect of these molecules on the PSMA+
LNCaP cells. We then tested the cytotoxicity of all compounds in the
presence of TTR (1 μM). There was no significant effect of TTR
on the activity of all compounds toward LNCaP cells (IC50 = 2.1 nM, 8.0 nM, and 4.1 nM, for BFM2, TFM2, and TFM3, respectively).
In PSMA– DU145 cells, while there was no major effect of TTR
on the activity of MMAE (IC50 = 0.9 nM) and BFM2 (IC50 = 784 nM), there was a 1.7 fold decrease in the activity
of TFM2 (IC50 = 529 nM) and 3.2-fold decrease in the activity
of TFM3 (IC50 = 794 nM) when TTR was present. Similar data
was observed when we tested our molecules in HeLa cell (PSMA–
cells derived from cervical cancer cells (Figure S6). These data support our hypothesis that TTR can indeed
sequester (and lower the toxicity) of TFMs toward cells lacking the
targeted receptor. Importantly, the more hydrophilic TFM3 has the
lowest activity against DU145 (>200-fold lower activity than the
activity
against LNCaP), which as we hypothesized could be due to the lower
passive diffusion across cell membrane. Therefore, we decided to further
evaluate the pharmacokinetic properties of TFM3 in rats and its efficacy
in mice xenograft tumor models in comparison to BFM2.
TFM3 Is More
Stable than
BFM2 in Rat and Mouse Serum and Does
Not Interfere with Holo-RBP–TTR Interaction
The valine–citrulline
linkers are stable in human serum. However, it has been reported that
these linkers can be hydrolyzed in mouse serum by extracellular carboxylesterase
1c (Ces1c).[37] Therefore, we assessed the
stability of TFM3 and BFM2 in buffer, human, rat, and mouse sera before
performing the in vivo pharmacokinetics and efficacy experiments (Figures S7–S9). No significant hydrolysis
was observed for TFM3 and BFM2 (100% remaining) in buffer and human
serum at 37 °C for at least 24 h. While there was some hydrolysis
of the linker in rat serum, the majority of TFM3 (92.1 ± 1.1%
and 80.4 ± 0.8% remaining after 12 and 24 h, respectively) and
BFM2 (82.1 ± 1.9% and 60.2 ± 1.8% remaining after 12 and
24 h, respectively) were intact. As anticipated, the valine–citrulline
linkers of TFM3 and BFM2 exhibited much lower stability in mouse serum
(Figure S7d). There was 56.4 ± 1.1%
of TFM3 remaining after 12 h and 16.1 ± 0.8% remaining after
24 h (Figure S8d). In contrast, BFM2 lost
∼80% and 100% of the conjugated MMAE after 12 and 24 h, respectively
(Figure S9d).We investigated the
effect
of TTR on the enhanced stability of TFM3 over BFM2. Our data suggest
that only ∼20% protection for TFM3 is provided by TTR. This
is expected since the hydrolysis site on the valine–citrulline
linker is at least 45 Å away from TTR (previous studies showed
that 20 Å is the ideal linker length for maximum protection against
peptides hydrolysis).[9] Therefore, we predict
that the majority of the stabilizing effect against serum proteases
is likely to come from the steric bulk of the TTR binding module.The main function of TTR is to transport holo-RBP (∼1.5
μM).[38] TTR also acts as a back-up
carrier of thyroxine (T4), however, due to the presence
of two other T4 transport proteins in blood, these T4 sites remain largely unoccupied in humans (<1% T4 bound).[39] The holo-RBP binding sites
on TTR are positioned orthogonal to the nonoverlapping T4 binding sites (where TFM3 binds), therefore the binding of holo-RBP
to TTR is not affected by the presence or absence of T4. In an effort to rule out the possibility that the extended linker
in TFM3 would interfere with the holo-RBP binding to TTR, we performed
a Western Blot assay in human serum (Figure S10). Our results confirmed data reported in literature for T4, and showed that TTR can indeed interact with both TFM3 and holo-RBP
in concert.
TTR Extended Circulation t1/2 of
TFM3 in Rats
We have evaluated the pharmacokinetic properties
of TFM3 and BFM2 (both containing MMAE) in rats. TFM3 (0.16 μmol/kg)
and BFM2 (0.32 μmol/kg, twice the dose of TFM3) were administered
as single IV doses to jugular vein cannulated male SD rats (Figure f). Blood samples
were withdrawn from the jugular vein cannula at predetermined time
points (ranging from 5 min to 24 h) and concentrations of test compounds
were quantitated using a validated LC–MS/MS method (Figure S11). The pharmacokinetic profile of TFM3
was markedly different than BFM2. The concentrations of TFM3 were
significantly higher than BFM2 at any given time, despite the administration
of twice as much BFM2. While there was no measurable amount of BFM2
after 4 h, TFM3 was still present even after 24 h (Figure f). There was ∼5.2 fold
increase in the t1/2 of TFM3 compared
to BFM2 (t1/2 = 3.84 ± 0.18 h vs
0.73 ± 0.06 h, respectively). Importantly, the MRT (∼8-fold
higher; 4.1 ± 0.68 h for TFM3 and 0.49 ± 0.1 h for BFM2)
and AUC (exposure) (∼3-fold higher; 4659 ± 561 nM.h for
TFM3 and 1425 ± 206 nM h for BFM2) were significantly higher
for TFM3 than BFM2. This data is consistent with the data obtained
for TFM1 and strongly supports and validates our approach that TTR
recruitment can indeed enhance the t1/2 and pharmacokinetic profile of TFMs in vivo.
TFM3 Has Enhanced
Antitumor Activity in Xenograft Mouse Model
of Human Metastatic Prostate Cancer
Before performing the
efficacy study, we did a preliminary evaluation of the toxicity of
TFM3 and BFM2 in mice. Four groups (n = 4 per group)
of CD-1 male mice received multiple i.p. doses of TFM3, BFM2, MMAE,
or vehicle (300 nmol/kg every 3 days; total four doses) and the body
weights of the animals were monitored for 12 days (Figure S12). MMAE served as a control for untargeted cytotoxicity.
This dosing regimen is well under the reported maximum tolerated dose
for MMAE (between 700 to 1400 nmol/kg)[40] and also reported to be used for a number of ligand targeted MMAE
conjugates.[41,42] Two additional groups (n = 4 per group) were also administered higher doses of
TFM3 and BFM2 (600 nmol/kg). The toxicity was evaluated by monitoring
the body weight of the treated animals. Animals that lost >20%
of
their weight were euthanized. As expected, there was a major decrease
in the body weight of all mice treated with MMAE. Our data showed
that both TFM3 and BFM2 were tolerated at the 300 nmol/kg dose. There
was a significant (p ≤ 0.001) drop of the
body weight of mice treated with BFM2 at the 600 nmol/kg. From these
studies, the 300 nmol/kg dose was selected to investigate the anticancer
efficacy of our test compounds.We then examined the antitumor
activity of test compounds in nude mice bearing human LNCaP (PSMA+)
and DU145 (PSMA−) prostate tumors (Figure ). After xenograft tumors reached a volume
of 100–150 mm3, mice were randomized into 4 treatment
groups with similar mean tumor volume. Equivalent molar quantities
of TFM3, BFM2, MMAE (300 nmol/kg), or saline (vehicle control) were
administered (i.p.) every 3 days (total of 4 doses) to four groups
of animals (n = 6 per group). Animal weights were measured throughout
the study as an indication of toxicity. The antitumor activity of
test compounds was evaluated by measuring the change in tumor size
over time. Our data showed that TFM3 effectively suppressed tumor
growth of the LNCaP cells after the third dose (∼70% decrease
in tumor volume). The antitumor activity of TFM3 was significantly
(p ≤ 0.001) higher than BFM2, free MMAE, and
vehicle (Figure a).
After this time point, the tumor size in the animals treated with
TFM3 did not change significantly up to the end of the studied period
(14 days) (Figure c). The activity of MMAE was lower than both BFM2 and TFM3. This
is expected since MMAE is a lipophilic molecule that has a higher
volume of distribution (8400 mL/kg)[43] compared
to TFM3 (144 mL/kg), and therefore the effective dose reaching the
tumor via untargeted delivery is low. The extensive distribution of
MMAE was clear from the dramatic decrease (>10%) in the body weight
of animals after the first dose, which necessitated skipping the second
dose for the MMAE group (Figure b). On the other hand, no significant weight loss or
any apparent signs of toxicity were observed for TFM3 and BFM2 treatment
groups, and all mice survived the entirety of the in vivo study.
Figure 7
Antitumor
efficacy of
TFM3 and BFM2 in LNCaP (PSMA+) and DU145
(PSMA−) xenograft mouse models of metastatic PCa. (a) Male
athymic nu/nu mice (n = 6) with LNCaP (PSMA+) tumors
received TFM3, BFM2, MMAE, or vehicle at a dose of 300 nmol/kg via
i.p. injection as indicated by black (for TFM3, BFM2, or vehicle)
or green (for MMAE) arrows. Each point represents mean (±s.d.)
tumor volume (mm3). (b) Mean (±s.d.) % body weight
changes from the beginning of treatment in the same mice with LNCaP
tumors. (c) Mean (±s.d.) weight of excised LNCaP tumors from
each treatment group after 14 days. (d) Male athymic nu/nu (n = 6) mice with DU145 (PSMA−) tumors received TFM3,
BFM2, MMAE, or vehicle at a dose of 300 nmol/kg via i.p. injection
as indicated by black or green arrows. Each point represents mean
(±s.d.) tumor volume (mm3). (e) Mean (±s.d.)
% body weight changes from the beginning of treatment in the same
mice with DU145 tumors. (f) Mean (±s.d.) weight of excised DU145
tumors from each treatment group after 14 days. The significance of
differences was measured by one-way ANOVA followed by Tukey’s
multiple comparison test (ns, not significant; ∗p ≤ 0.05; ∗∗p ≤ 0.01;
∗∗∗p ≤ 0.001; ∗∗∗∗p ≤ 0.0001).
Antitumor
efficacy of
TFM3 and BFM2 in LNCaP (PSMA+) and DU145
(PSMA−) xenograft mouse models of metastatic PCa. (a) Male
athymic nu/nu mice (n = 6) with LNCaP (PSMA+) tumors
received TFM3, BFM2, MMAE, or vehicle at a dose of 300 nmol/kg via
i.p. injection as indicated by black (for TFM3, BFM2, or vehicle)
or green (for MMAE) arrows. Each point represents mean (±s.d.)
tumor volume (mm3). (b) Mean (±s.d.) % body weight
changes from the beginning of treatment in the same mice with LNCaP
tumors. (c) Mean (±s.d.) weight of excised LNCaP tumors from
each treatment group after 14 days. (d) Male athymic nu/nu (n = 6) mice with DU145 (PSMA−) tumors received TFM3,
BFM2, MMAE, or vehicle at a dose of 300 nmol/kg via i.p. injection
as indicated by black or green arrows. Each point represents mean
(±s.d.) tumor volume (mm3). (e) Mean (±s.d.)
% body weight changes from the beginning of treatment in the same
mice with DU145 tumors. (f) Mean (±s.d.) weight of excised DU145
tumors from each treatment group after 14 days. The significance of
differences was measured by one-way ANOVA followed by Tukey’s
multiple comparison test (ns, not significant; ∗p ≤ 0.05; ∗∗p ≤ 0.01;
∗∗∗p ≤ 0.001; ∗∗∗∗p ≤ 0.0001).We repeated the same efficacy experiment in the DU145 (PSMA−)
tumor model (Figure d–f). As expected, the tumor volumes of the TFM3 and BFM2
treatment groups were not significantly different compared to the
vehicle treated group (Figure d). The BFM2 and TFM3 treated animals did not show any sign
of toxicities in terms of body weight (Figure e). None of the treatment groups, except
MMAE (p ≤ 0.05), showed significant anticancer
effects in terms of end point tumor weight (Figure f). At the same time, the MMAE treated animals
showed significant signs of toxicities, that is, body weight reduction,
reduced food and water intake, and difficulties in movement. Because
of the signs of severe toxicity, the third dose of MMAE was not administered
in DU145 model. Unscheduled euthanasia were carried out for two MMAE
treated animals on day nine and 12 during the study due to a reduction
of greater than 20% of body weight and moribund symptoms.Summarizing
the results of the efficacy experiments, one can conclude
that incorporating the TTR ligand 2 in TFM3 significantly
limited the toxicity of MMAE on healthy tissues, and at the same time
substantially enhanced the antitumor efficacy of TFM3 compared to
BFM2. This indicates that the enhanced tumor uptake of TFM3 in LNCaP
(PSMA+) tumors is due to the prolonged blood circulation and exposure
(AUC) of TFM3 compared to BFM2, especially since the binding affinity
of BFM2 to PSMA in buffer (Ki = 7.2 nM)
and its activity on LNCaP (PSMA+) cells (IC50 = 2.1 nM)
are slightly higher than that for TFM3 (Ki = 16.4 nM and IC50 = 4.1 nM).
Conclusion
Small-format
LTDs have several advantages
over traditional nontargeted
therapeutic agents. However, the poor pharmacokinetic profile of these
molecules remains an important issue that is yet to be resolved. Therefore,
strategies that enhance the pharmacokinetic properties of LTDs, while
retaining their more effective tumor penetrating properties, could
at last make these small-size conjugates a viable alternative to targeted
large macromolecules that are disproportionately biased toward hematologic
cancers over solid tumors. While much of the effort in this field
is focused on maintaining the small size and hydrophilicity of LTDs
for efficient and selective penetration into solid tumor tissues,
the trade-off is lower overall tumor uptake and lower in vivo efficacy
due to rapid systemic clearance.In this study, we have developed
a new concept and platform approach,
which combines advantages from both large macromolecules (e.g., extended
circulation t1/2) and small LTDs (e.g.,
high tumor penetration and hydrophilicity). Endowing targeted chemotherapeutic
agents with the small and hydrophilic TTR ligand 2 allows
the generation of hydrophilic small TFMs (<3 kDa) that, in contrast
to typical LTDs, have enhanced pharmacokinetic and efficacy profiles.
The modular design of the TFMs allows each TFM component to be optimized
without dramatically affecting the performance of other modules. The
smaller size of TFMs could offer a number of additional advantages
such as lower antigenicity, lower production cost, and chemical stability.
The promising pharmacokinetics and efficacy suggests that TFM3 may
provide a valuable lead for developing next-generation PSMA-targeted
LTDs as potential therapeutics for mCRPC, a disease that is currently
incurable. To the best of our knowledge, this is the first demonstration
of a successful approach that not only extends the circulation t1/2 but also maintains the smaller size and
the hydrophilicity of targeted anticancer agents containing hydrophobic
payloads.The success of our approach in delivering both hydrophilic
Cy7
and hydrophobic MMAE to the intracellular compartment of cancer cells
indicates that this approach could be utilized for other small molecules
targeting many types of cancers, as well as other diseases. We envision
that the new TTR ligands we developed herein to be potentially useful
for enhancing the pharmacokinetic properties and hydrophilicity of
various biomolecules without significantly increasing their size.
This should broaden the scope and utility of our approach.
Authors: Christine E Bulawa; Stephen Connelly; Michael Devit; Lan Wang; Charlotte Weigel; James A Fleming; Jeff Packman; Evan T Powers; R Luke Wiseman; Theodore R Foss; Ian A Wilson; Jeffery W Kelly; Richard Labaudinière Journal: Proc Natl Acad Sci U S A Date: 2012-05-29 Impact factor: 11.205
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