⁶⁴Cu-Labeled Inhibitors of Prostate-Specific Membrane Antigen for PET Imaging of Prostate Cancer

Abstract

Prostate-specific membrane antigen (PSMA) is a well-recognized target for identification and therapy of a variety of cancers. Here we report five ⁶⁴Cu-labeled inhibitors of PSMA, [⁶⁴Cu]3–7, which are based on the lysine–glutamate urea scaffold and utilize a variety of macrocyclic chelators, namely NOTA(3), PCTA(4), Oxo-DO3A(5), CB-TE2A(6), and DOTA(7), in an effort to determine which provides the most suitable pharmacokinetics for in vivo PET imaging. [⁶⁴Cu]3–7 were prepared in high radiochemical yield (60–90%) and purity (>95%). Positron emission tomography (PET) imaging studies of [⁶⁴Cu]3–7 revealed specific accumulation in PSMA-expressing xenografts (PSMA+ PC3 PIP) relative to isogenic control tumor (PSMA– PC3 flu) and background tissue. The favorable kinetics and high image contrast provided by CB-TE2A chelated [⁶⁴Cu]6 suggest it as the most promising among the candidates tested. That could be due to the higher stability of [⁶⁴Cu]CB-TE2A as compared with [⁶⁴Cu]NOTA, [⁶⁴Cu]PCTA, [⁶⁴Cu]Oxo-DO3A, and [⁶⁴Cu]DOTA chelates in vivo.

Introduction

The prostate-specific membrane antigen (PSMA) is emerging as an attractive target for addressing cancer, whether for diagnosis or therapy, due to its restricted expression within normal tissue,¹ its elevated expression in the epithelium of prostate tumors, and within the neovasculature of most solid tumors tested.² With respect to prostate cancer, elevated expression of PSMA is associated with metastasis,³ castrate resistance,^4,5 and progression.⁶ PSMA has also been used to guide antibody–drug conjugates and nanoparticles to PSMA-expressing tissues, including for human studies, some of which do not involve prostate cancer.⁷⁻¹¹ Radiohalogenated, urea-based, low-molecular-weight inhibitors of PSMA have recently been explored to image expression of PSMA in prostate tumor xenografts^12,13 as well as in clinical studies.¹⁴⁻¹⁶ Radiometals, including ^99mTc,^17−23111In,^27−2964Cu,³⁰⁸⁶Y,³¹ and ⁸⁹Zr,^32,33 have also recently been implemented for imaging PSMA, in part to leverage the longer physical half-life of these nuclides, which will be necessary for tracking large peptides, aptamers, minibodies, antibodies, and nanoparticles. To enable targeting agents to bind with high affinity to PSMA, a spacer of approximately 20 Å is generally employed between the PSMA-targeting group and the metal chelator.²¹ Moreover, we have shown that the chelating moiety has a significant effect on the pharmacokinetics of this class of low-molecular-weight PSMA-based imaging agents when radiolabeled with ^99mTc.³⁴ The search for small-molecule, functionalized affinity agents for PSMA that have longer retention and superior pharmacokinetics properties for imaging and therapeutic applications is ongoing.

⁶⁴Cu-Labeled molecules are promising imaging agents for positron emission tomography (PET) due to the favorable nuclear characteristics of the isotope (t_1/2 = 12.7 h, β⁺ 17.4%, E_max = 0.656 MeV, β^– 39%, E_max = 0.573 MeV) and its availability in high specific activity.³⁵ The longer physical half-life of ⁶⁴Cu compared to ¹¹C (t_1/2 = 20 min) and ¹⁸F (t_1/2 = 110 min) enables imaging at delayed time points, which allows sufficient time for clearance from background tissues, resulting in increased image contrast, particularly for targeting agents that demonstrate long circulation times such as antibodies and nanoparticles. Moreover, ⁶⁴Cu-based PET radiotracers have demonstrated efficacy for radioimmunotherapy³⁶ comparable to that for the strictly therapeutic radionuclide, ⁶⁷Cu (t_1/2 = 61.5 h, β^– 100%, E_max = 0.121 MeV).³⁷ Accordingly, ⁶⁴Cu could be used for imaging and therapy concurrently.³⁸ In vivo stability of ⁶⁴Cu-labeled targeted biomolecules depends on the stability of the corresponding Cu(II)-chelated coordination complex employed.³⁹⁻⁴¹ Numerous bifunctional chelating agents have been developed to form stable ⁶⁴Cu(II) complexes based on well-developed copper coordination chemistry⁴² and have been used to functionalize small molecules,^43,44 peptides,⁴⁵⁻⁴⁸ aptamers,⁴⁹ and antibodies.^50,51 Acyclic and macrocyclic polyamines tend to have limited stability in vivo with respect to chelation of copper(II).^52,53 Complexes of copper based on macrocyclic polyamino carboxylates, such as copper chelates of 1,4,8,11-tetraazacyclotetradecane-N,N′,N″,N‴-tetraacetic acid (TETA) and 1,4,7,10-tetraazacyclodoadecane-N,N′,N″,N‴-tetraacetic acid (DOTA), have greater kinetic inertness than acyclic analogues, although this has not eliminated transchelation.^53,54 The cross-bridged tetraamine bicyclic polyaminocarboxylates, specifically 1,4,8,11-tetraazabicyclo[6.6.2]hexadecane-4,11-diacetic acid (CB-TE2A), provide an improvement over the monocyclic counterparts. The superior kinetic stability of the copper(II) cross-bridged complexes relative to DOTA and TETA analogues⁵⁵⁻⁵⁷ is due to the rigidity of the cross-bridge system. Derivatives of the polyaminocarboxylate NOTA (1,4,7-triazacyclononane-1,4,7-triacetic acid) are encouraging both because of the convenience of radiolabeling with ⁶⁴Cu(II) and the lack of subsequent transmetalation in vivo.^46,47,58

Here we study the effect of various chelators for labeling ⁶⁴Cu on PSMA-targeted ureas with respect to pharmacokinetics for imaging prostate tumor xenografts in vivo. Although these low-molecular-weight compounds may clear relatively rapidly from nontarget sites, that is not always the case, and increasingly, larger PSMA-specific probes with slower kinetics are sometimes used as diagnostic and/or therapeutic probes for PSMA, requiring the longer physical half-life of ⁶⁴Cu. Optimization of the chelator for radiolabeling with ⁶⁴Cu is an important initial step in its implementation for imaging species that target PSMA. We investigated the in vitro binding affinity, mouse biodistribution, and prostate tumor xenograft uptake of five ⁶⁴Cu-labeled PSMA inhibitors. To do that, we prepared urea-based PSMA inhibitors that utilize the Lys-Glu urea motif and conjugated them with five different macrocyclic chelating agents, NOTA, CB-TE2A, 3,6,9,15-tetraazabicyclo[9.3.1]-pentadeca-1(15),11,13-triene)-3,6,9-triacetic acid (PCTA), oxa-4,7,1-tetraazacyclododecane-4,7,10-triacetic acid (oxo-DO3A),⁵⁹ and DOTA. Each conjugate was labeled with ^63/65Cu/⁶⁴Cu. Imaging and biodistribution studies in NOD/SCID mice harboring prostate tumor xenografts demonstrated that both ⁶⁴Cu-labeled NOTA- and CB-TE2A-conjugated radiotracers exhibited favorable pharmacokinetics over the PCTA, oxo-DO3A, and DOTA-conjugated compounds. Between the NOTA- and CB-TE2A-chelated compounds, the ⁶⁴Cu-labeled CB-TE2A conjugated [⁶⁴Cu]6B exhibited superior tumor-to-background ratios and is the most promising agent from the series.

Results

Chemical and Radiochemical Syntheses

Macrocyclic Chelator-Conjugated PSMA Inhibitors

We have synthesized two different types of ligands as shown in Figure 1 using Lys-Glu urea as the targeting moiety. For ligands 3–5 we used a Lys-suberate linker²¹ and conjugated the linker with commercially available chelating agents, NOTA-Bn-SCN, PCTA-Bn-SCN, and oxo-DOTA-Bn-SCN via thiourea bond formation. For those three bifunctional chelators, the macrocyclic backbone was functionalized to carry a benzyl isocyanate for conjugation with an amine function. Copper(II) compounds for 3–5 are predicted to demonstrate distorted octahedron geometry.⁴¹ Because NOTA is a hexadentate N₃O₃ chelator, [⁶⁴Cu(II)]3 is expected to carry a negative charge. On the other hand, both PCTA (N₄O₃) and oxo-DOTA (N₃O₄) are heptadentate macrocycles and likely form neutral compounds with one pendant acetate arm after complexation.^35,41 The Lys-suberate linker was extended using two phenylalanine residues to prepare 6 and 7 containing CB-TE2A and DOTA, respectively, as chelating agents. The purpose of attaching those two phenylalanine residues to the linker of 6 and 7 is mainly to compensate for the lipophilicity of the phenylthiourea moiety of compounds 3–5.^22,24−26 Note that one of the pendant acetate arms of the CB-TE2A and DOTA chelators has been modified to attach the PSMA targeting moiety via amide bond formation to produce 6 and 7, respectively. [⁶⁴Cu]CB-TE2A forms a positively charged radiotracer when conjugated to a biomolecule, whereas DOTA-conjugated [⁶⁴Cu]7 is expected to carry one pendant acetate, providing an overall neutral compound.

Figure 1.

Proposed structures of ⁶⁴Cu-labeled inhibitors of PSMA.

Syntheses of PSMA targeting ligands 3, 4, and 5 are shown in Scheme 1. Compounds 1 and 2 were prepared as previously reported.²⁸ Compound 2 was conjugated with commercially available NOTA-Bn-SCN, PCTA-Bn-SCN, and oxo-DOTA-Bn-SCN in DMSO in the presence of diisopropylethylamine (DIEA) at 40 °C for 4 h, to give 3, 4, and 5 in ∼30–40% yield, respectively, after purification by high-performance liquid chromatography (HPLC). Synthesis of CB-TE2A-conjugated ligand 6 was performed using standard fluorenylmethoxycarbonyl (Fmoc) solid phase peptide synthesis (SPPS), starting from Fmoc-Lys(Boc)-Wang resin according to Scheme 2. After two phenylalanine residues were coupled with the resin bound lysine, CB-TE2A was conjugated at the N-terminal of the second phenylalanine residue, after which the compound was cleaved from the resin by a 1:1 mixture of TFA/CH₂Cl₂ to produce 8 in moderate yield (∼20%). The free ε-amine of lysine of 8 was then conjugated with 1(28) to produce 6. DOTA-conjugated 7 was prepared according to our previous report.²⁶ NMR and mass spectrometry (MS) were used to confirm the identity of newly synthesize compounds. Copper (^63/65Cu) complexes were prepared by incubating conjugates 3–7 with an aqueous solution of Cu(NO₃)₂ at 95 °C as shown in Schemes 1–2. The mass spectra of the copper-labeled compounds showed the expected isotope distribution pattern for natural copper, which is a mixture of ⁶³Cu (69%) and ⁶⁵Cu (31%). The stable copper-labeled conjugates were used as authentic reference material for chromatography to identify the corresponding ⁶⁴Cu-labeled compounds.

Scheme 1. Synthesis of [⁶⁴Cu]3–5.

Scheme 2. Synthesis of [⁶⁴Cu]6.

Radiochemistry

The radiolabeling of new PSMA ligands with ⁶⁴Cu is shown in Schemes 1–2. Briefly, for ligands 3–5 and 7, radiolabeling was performed at pH ∼5.5–6 in acetate buffer at ∼65 °C for 30 min, whereas for ligand 6, radiolabeling was achieved in a boiling water bath (95 °C) for 1 h at pH ∼7.5–8 in acetate buffer. Radiolabeled products were obtained in high yield (>60%, without decay correction) and radiochemical purity (>95%) as determined by HPLC and radio thin-layer chromatography (radio-TLC). Two radiolabeled peaks were observed for [⁶⁴Cu]4, likely due to the separation of diastereomers as previously reported for this class of bifunctional chelators.⁶¹ On the other hand, free ligand 6 contained two nearly inseparable isomeric peaks by HPLC. Therefore, radiolabeling of 6 was performed using the isomeric mixture to give two HPLC separable products designated [⁶⁴Cu]6A and [⁶⁴Cu]6B, isolated in 45% and 35% yield, respectively. We assumed that the presence of an asymmetric center at the Phe residue of the linker moiety adjacent to CB-TE2A was responsible for producing those two diastereomeric compounds. All radioligands were obtained in specific activities ranging from 2.9 to 9.1 GBq/μmol (78–347 mCi/μmol). The Log P_oct/w values for the radioligands were determined by octanol–water partition and are shown in Table 1. Surprisingly, [⁶⁴Cu]6A and [⁶⁴Cu]6B were found to be more hydrophilic than [⁶⁴Cu]3 in spite of possessing two Phe residues on the linker and only one carboxylate groups on the chelator backbone.

Table 1. Radiolabeling Yield, Log P_o/w, and PSMA Inhibitory Activity.

	yield (%)	Log Poct/w		Ki (nM)
			3	2.84
[64Cu]3	∼65–70	–1.17	[63/65Cu]3	6.23
			4	2.03
[64Cu]4	∼70–90	–1.42	[63/65Cu]4	10.76
			5	3.10
[64Cu]5	∼75–85	–1.56	[63/65Cu]5	5.47
			6	0.19
[64Cu]6A	∼40–45	–2.68	[63/65Cu]6A	3.98
[64Cu]6B	∼30–35	–2.31	[63/65Cu]6B	4.65
			7	11.07
[64Cu]7	∼65–70	ND	[63/65Cu ]7	13.26

In Vitro Binding

Ligands and the corresponding stable metal-labeled compounds demonstrated high binding affinity to PSMA, with K_i values ranging from 0.19 to 13.26 nM (Table 1). The known, high-affinity PSMA inhibitor ZJ43 was used as a reference ligand (Supporting Information Figure S1) and exhibits a K_i of 4.3 nM.⁶² The low nanomolar affinities displayed by these five new copper compounds are similar to the affinities of the majority PSMA-targeted imaging agents we have synthesized to date.^21,28

Small Animal PET-CT Imaging

Whole body PET-CT images were obtained for [⁶⁴Cu]3–7 in intact male severe combined immunodeficient (SCID) mice (Figures 2–4) bearing PSMA+ PC3 PIP and PSMA– PC3 flu xenografts in opposite, upper flanks. Pharmacokinetics derived from the images were used to determine which compound(s) would be further evaluated through ex vivo biodistribution. Irrespective of charge and lipophilicity, all radiotracers, [⁶⁴Cu]3–7, enabled visualization of PSMA+ PC3 PIP tumor and kidneys (Figure 2). Renal uptake of the radiotracers is partially due to the route of excretion of these agents as well as to specific uptake from the expression of PSMA in mouse proximal renal tubules.⁶³ Although [⁶⁴Cu]4, [⁶⁴Cu]5, and [⁶⁴Cu]7 demonstrated moderate to high PSMA+ PC3 PIP tumor uptake, they also showed significant accumulation within liver at 2.5 h postinjection (Figure 2), which remained high until 6 h (data not shown). Radioligands [⁶⁴Cu]5 and [⁶⁴Cu]7 exhibited significantly higher background uptake, probably related to lower stability of these ⁶⁴Cu complexes,⁵⁸ resulting in trans-chelation of copper to other, endogenous proteins.⁵⁶

Figure 2.

Whole body PET-CT imaging of PSMA+ PC3 PIP and PSMA – PC3 flu tumor-bearing mice with compounds [⁶⁴Cu]3, [⁶⁴Cu]4, [⁶⁴Cu]5, [⁶⁴Cu]6B, and [⁶⁴Cu]7 at 2.5 h postinjection, respectively. Mice were injected with ∼11.1 MBq (∼300 μCi) of radiotracer IV. PIP = PSMA+ PC3 PIP (solid arrow); flu = PSMA– PC3 flu (unfilled arrow); K= kidney; B = bladder; L = left; R = right. All images are decay-corrected and adjusted to the same maximum value.

Figure 4.

Whole body PET-CT imaging of PC3 PIP and PC3 flu tumor bearing mice with [⁶⁴Cu]6A (top row) and [⁶⁴Cu]6B (bottom row) at 20 min, 2.5 h, 12 and 22 h postinjection. Abdominal radioactivity is primarily due to uptake within kidneys and bladder. PIP = PC3 PSMA+ PIP (solid arrow); flu = PC3 PSMA− flu (unfilled arrow); K= kidney; L = left; R = right, B = bladder. All images are decay-corrected and adjusted to the same maximum value.

PET-CT images acquired at 20 min, 6 and 28 h postinjection of [⁶⁴Cu]3 (Figure 3) (n = 2) showed clear uptake in PSMA+ PC3 PIP tumor. At 20 min and 6 h postinjection, the most visible tissues were PSMA+ PC3 PIP tumor and kidneys, with some accumulation of radioactivity observed in liver and urinary bladder. Radioactivity in liver and kidneys cleared significantly by 28 h.

Figure 3.

Whole body PET-CT imaging of PC3 PIP and PC3 flu tumor bearing mice with [⁶⁴Cu]3 at 20 min (left), 6 h (middle), 28 h (right). Abdominal radioactivity is primarily due to uptake within kidneys and bladder. PIP = PC3 PSMA+ PIP (solid arrow); flu = PC3 PSMA– flu (unfilled arrow); K= kidney; L = left; R = right, B = bladder. All images are decay-corrected and adjusted to the same maximum value.

Compounds [⁶⁴Cu]6A and [⁶⁴Cu]6B exhibited high radiotracer concentration both within PSMA+ PC3 PIP tumor and kidneys, similar to the distribution profile observed with [⁶⁴Cu]3. Significantly, both CB-TE2A conjugated diastereomers [⁶⁴Cu]6A and [⁶⁴Cu]6B exhibited similar PET imaging profiles as shown in Figure 4. Both compounds showed low liver uptake as early as 20 min after the injection. Consequently, clear delineation of tumor was achieved even at early time points. By 2.5 h postinjection, radioactivity was largely cleared from kidneys for both isomers, producing clear target-to-background contrast for these radiotracers. As a further test of binding specificity, we imaged animals administered [⁶⁴Cu]6B after pretreating them with 50 mg/kg of ZJ43 30 min prior to radiotracer.⁶² ZJ43 proved capable of blocking binding of [⁶⁴Cu]6B (Supporting Information Figure S2), not only within the tumor but also within the renal cortex, confirming that uptake observed in these tissues is PSMA-mediated.⁶³

Biodistribution

On the basis of PET-CT imaging results, [⁶⁴Cu]3, [⁶⁴Cu]6A, and [⁶⁴Cu]6B were further assessed in a biodistribution assays using the same isogenic human prostate cancer PSMA+ PC3 PIP and PSMA– PC3 flu tumor models (n = 4). Tables 2 and 3 show the pharmacokinetics in percentage of injected dose per gram of tissue (% ID/g) in selected organs for [⁶⁴Cu]3 and [⁶⁴Cu]6A at 30 min, 1 h, 2 h, and at 4 or 5 h postinjection, while Table 4 shows the % ID/g at the optimized time point of 2 h for [⁶⁴Cu]3, [⁶⁴Cu]4, [⁶⁴Cu]6A, and[⁶⁴Cu]6B. All compounds exhibited clear PSMA-dependent binding in PSMA+ PC3 PIP tumor xenografts, with [⁶⁴Cu]3 demonstrating high tumor uptake as early as 30 min postinjection (33.78 ± 9.68% ID/g), peaking at 2 h (38.51 ± 5.68% ID/g) (Table 2), with extended retention of radioactivity up to 4 h postinjection (20.64 ± 5.06% ID/g). PSMA+ PC3 PIP to PSMA– PC3 flu tumor uptake ratios were 14.03 ± 3.71 and 23.50 ± 4.65 at 30 min at 4 h, respectively. The distribution within normal organs and tissues was also favorable, with low blood and normal tissue uptake and rapid clearance. The highest nonspecific uptake observed was in the liver (7.37 ± 0.40% ID/g) and spleen (28.02 ± 5.82% ID/g) at 30 min postinjection. However, those values decreased to 4.18 ± 1.61% ID/g and 4.72 ± 1.49% ID/g, respectively, by 4 h. Kidney uptake was expectedly high and peaked at 195.44 ± 29.82% ID/g at 30 min and decreased to 108.05 ± 20.50% ID/g by 4 h.

Table 2. Tissue Biodistribution for [⁶⁴Cu]3 in Tumor-Bearing Mice^a.

	0.5 h	1 h	2 h	4 h
blood	2.37 ± 0.90	1.12 ± 0.21	0.82 ± 0.20	0.45 ± 0.20
heart	1.78 ± 0.41	1.39 ± 0.24	1.11 ± 0.13	0.71 ± 0.26
lung	6.40 ± 0.59	5.99 ± 0.70	4.51 ± 0.97	2.49 ± 0.99
liver	7.37 ± 0.40	7.50 ± 1.43	6.44 ± 0.83	4.18 ± 1.61
spleen	28.02 ± 5.82	27.58 ± 10.05	12.33 ± 6.32	4.72 ± 1.49
fat	1.78 ± 0.31	1.43 ± 0.38	0.76 ± 0.34	0.65 ± 0.75
kidney	195.44 ± 29.82	233.39 ± 22.76	199.69 ± 48.44	108.05 ± 20.50
muscle	0.57 ± 0.32	0.60 ± 0.14	0.34 ± 0.12	0.21 ± 0.10
small intestine	4.60 ± 1.42	5.58 ± 1.43	3.68 ± 0.41	2.44 ± 1.30
large intestine	4.51 ± 1.64	6.01 ± 2.54	3.80 ± 1.67	2.42 ± 1.19
bladder	5.65 ± 2.77	2.48 ± 0.42	13.33 ± 8.35	1.70 ± 0.97
PC-3 PIP	33.79 ± 9.68	29.11 ± 3.02	38.51 ± 5.68	20.64 ± 5.06
PC-3 flu	2.40 ± 0.17	2.02 ± 0.18	1.92 ± 0.23	1.04 ± 0.37
PIP:flu	14.03 ± 3.71	14.37 ± 0.43	19.96 ± 0.81	23.50 ± 4.65
PIP:blood	15.11 ± 5.38	26.64 ± 5.12	48.75 ± 10.27	50.01 ± 15.54

^aValues expressed are in % ID/g ± standard deviation; n = 4 for all tissues.

Table 3. Tissue Biodistribution for [⁶⁴Cu]6B in Tumor-Bearing Mice^a.

	0.5 h	1 h	2 h	5 h
blood	2.50 ± 1.08	0.64 ± 0.24	0.26 ± 0.13	0.06 ± 0.05
heart	0.92 ± 0.27	0.32 ± 0.08	0.13 ± 0.05	0.06 ± 0.01
lung	2.70 ± 0.73	0.83 ± 0.11	0.45 ± 0.21	0.15 ± 0.01
liver	0.73 ± 0.17	0.42 ± 0.04	0.30 ± 0.06	0.21 ± 0.03
stomach	1.02 ± 0.47	0.48 ± 0.28	0.25 ± 0.06	0.10 ± 0.03
pancreas	0.90 ± 0.23	0.31 ± 0.19	0.13 ± 0.05	0.05 ± 0.04
spleen	5.80 ± 2.61	2.14 ± 0.58	0.65 ± 0.15	0.25 ± 0.07
fat	0.87 ± 0.15	0.87 ± 1.32	0.19 ± 0.10	0.05 ± 0.05
kidney	256.11 ± 75.72	148.60 ± 48.41	65.39 ± 21.16	3.54 ± 0.04
muscle	0.33 ± 0.01	1.71 ± 2.29	0.17 ± 0.05	0.05 ± 0.02
small intestine	0.85 ± 0.41	1.38 ± 1.89	0.26 ± 0.07	0.11 ± 0.10
large intestine	0.88 ± 0.42	0.77 ± 0.65	0.30 ± 0.08	0.14 ± 0.05
bladder	3.99 ± 0.26	7.06 ± 3.75	2.21 ± 0.57	1.43 ± 1.41
PC-3 PIP	23.14 ± 2.20	29.50 ± 8.10	20.46 ± 2.90	18.69 ± 2.88
PC-3 flu	1.29 ± 0.12	0.66 ± 0.26	0.26 ± 0.04	0.13 ± 0.03
PIP:flu	19.36 ± 3.98	48.41 ± 14.25	79.40 ± 15.83	146.79 ± 32.30
PIP:blood	9.13 ± 5.23	47.47 ± 7.24	101.17 ± 6.70	1123.96 ± 25.83
PIP:muscle	69.35 ± 4.29	91.30 ± 93.17	132.99 ± 43.97	436.14 ± 202.71

^aValues expressed are in % ID/g ± standard deviation; n = 4 for all tissues.

Table 4. Tissue Biodistibistion for [⁶⁴Cu]3, [⁶⁴Cu]4, [⁶⁴Cu]6A, and [⁶⁴Cu]6B at 2 h Post-Injection in Tumor-Bearing Mice^a.

	[64Cu]3	[64Cu]4	[64Cu]6A	[64Cu]6B
blood	1.06 ± 0.29	1.87 ± 0.63	0.20 ± 0.03	0.20 ± 0.07
heart	1.48 ± 0.14	2.71 ± 0.13	0.26 ± 0.10	0.35 ± 0.21
lung	5.31 ± 0.74	10.16 ± 2.29	1.17 ± 0.61	0.89 ± 0.15
liver	8.63 ± 0.92	17.04 ± 1.44	1.68 ± 0.38	1.63 ± 0.72
stomach	3.88 ± 0.82	6.37 ± 0.78	0.62 ± 0.42	0.62 ± 0.17
pancreas	2.22 ± 0.34	3.51 ± 0.67	0.46 ± 0.44	0.80 ± 0.92
spleen	13.42 ± 1.18	9.27 ± 2.28	0.39 ± 0.30	0.90 ± 0.23
fat	0.76 ± 0.77	1.18 ± 0.59	0.27 ± 0.26	0.05 ± 0.02
kidney	125.40 ± 42.47	166.57 ± 42.39	23.55 ± 8.96	24.87 ± 11.26
muscle	0.33 ± 0.08	0.71 ± 0.32	0.11 ± 0.05	0.12 ± 0.05
small intestine	6.24 ± 1.46	10.95 ± 3.70	0.74 ± 0.32	0.68 ± 0.13
large intestine	10.13 ± 6.83	10.10 ± 4.76	1.49 ± 0.75	1.28 ± 0.70
bladder	12.47 ± 10.30	10.56 ± 6.20	7.98 ± 8.32	5.92 ± 4.94
PC-3 PIP	16.58 ± 3.15	24.13 ± 10.06	11.10 ± 5.42	16.89 ± 5.73
PC-3 flu	2.12 ± 0.25	3.88 ± 0.62	0.36 ± 0.09	0.40 ± 0.12
PIP:flu	11.00 ± 0.73	6.22 ± 1.86	30.90 ± 7.92	41.75 ± 5.54
PIP:blood	16.52 ± 5.14	12.87 ± 1.87	52.41 ± 17.34	86.97 ± 15.22
PIP:muscle	46.98 ± 19.05	38.34 ± 21.69	97.31 ± 42.46	138.88 ± 30.86

^aValues expressed are in % ID/g ± standard deviation; n = 4 for all tissues.

Table 3 shows the organ-related % ID/g of uptake for [⁶⁴Cu]6B. Similar to [⁶⁴Cu]3, [⁶⁴Cu]6B showed the highest PSMA-dependent tumor uptake with 29.50 ± 8.10% ID/g at 1 h postinjection. Tumor uptake remained high, decreasing to 18.69 ± 2.88% ID/g at 5 h. The PSMA+ PC3 PIP to PSMA– PC3 flu ratios were 19.36 ± 3.98 at 30 min, 79.40 ± 15.83 at 2 h, and 146.79 ± 32.20 at 5 h. The PSMA+ PC3 PIP tumor-to-muscle ratio reached a maximum value of 436.14 ± 202.71 at 5 h, nearly 3-fold higher than those observed with [⁶⁴Cu]3. Renal uptake for [⁶⁴Cu]6B was highest at 30 min at 256.11 ± 75.72% ID/g, much higher than that seen for [⁶⁴Cu]3, however, it cleared much more rapidly, decreasing to 3.54 ± 0.04% ID/g by 5h. Nontarget organs, such as blood, heart, liver, spleen, stomach, and pancreas, showed lower uptake (∼2% ID/g at 1 h) and much faster clearance than for [⁶⁴Cu]3 and decreased to below 1% ID/g by 5 h.

Because [⁶⁴Cu]3, [⁶⁴Cu]4, and [⁶⁴Cu]6 demonstrated superior pharmacokinetics to [⁶⁴Cu]5 and [⁶⁴Cu]7, a one-time point (2 h) biodistribution study (Table 4) was performed with [⁶⁴Cu]3, [⁶⁴Cu]4, and [⁶⁴Cu]6B. Syntheses and biodistribution studies were performed on the same day, as close to one another as possible to minimize the changes in specific activity of the radiotracer. The biodistribution and imaging data reveal several important points regarding the in vivo properties of these compounds. The NOTA-chelated radiotracers [⁶⁴Cu]3, PCTA-chelated [⁶⁴Cu]4, and CB-TE2A-chelated [⁶⁴Cu]6B showed high uptake in PSMA+ PC3 PIP tumor, highest for [⁶⁴Cu]4 (24.13 ± 10.06% ID/g). However, [⁶⁴Cu]4 also exhibited slightly higher nonspecific uptake in PSMA– PC3 flu tumor and other organs, including blood, muscle, heart, liver, and stomach, resulting in lower tumor-to-organ ratios than for [⁶⁴Cu]3 and [⁶⁴Cu]6B. In the imaging studies, [⁶⁴Cu]4 exhibited considerable background radioactivity primarily due to high liver uptake of [⁶⁴Cu]4. Diastereomers [⁶⁴Cu]6A and [⁶⁴Cu]6B, each containing the CB-TE2A chelating agent, possessed similar in vivo properties and exhibited significantly lower normal tissue uptake, including kidney, than either [⁶⁴Cu]3 or [⁶⁴Cu]4.

Discussion

We have evaluated five ⁶⁴Cu-labeled PSMA-targeted, urea conjugates using different chelating agents with the aim of optimizing in vivo PET imaging properties of this class of compounds for clinical application. It is generally accepted that the overall biologic profile of radiolabeled ligands is determined not only by receptor-specific binding but also by nonspecific interactions. Such off-target effects rely on the overall physicochemical features of the radiolabeled compound, e.g., molecular weight, charge, lipophilicity, and metabolic stability. The chelator used to attach the radionuclide to the targeting agent plays a key role in establishing those physicochemical features, particularly for agents smaller than antibodies and nanoparticles, namely those of relatively low molecular weight (<1500 Da). Two key findings emerged from this study. First, both NOTA and CB2-TE2A-conjugated radiotracers [⁶⁴Cu]3 and [⁶⁴Cu]6 demonstrated significantly higher in vivo stability, as evidenced by their lower liver uptake than the other three radiotracers, [⁶⁴Cu]4, [⁶⁴Cu]5, and [⁶⁴Cu]7, which utilized PCTA, oxo-DOTA, and DOTA, respectively. High liver uptake and slow blood clearance for those latter three radiotracers are indicative of free Cu(II), which is sequestered in liver.^56,64 Second, liver uptake and blood concentration are much lower at all time points for [⁶⁴Cu]6A–B compared to [⁶⁴Cu]3, suggesting higher in vivo stability of CB-TE2A-conjugated [⁶⁴Cu]6A–B compared to NOTA-conjugated [⁶⁴Cu]3. That might also be related to the higher hydrophilicity of [⁶⁴Cu]6A–B compared to [⁶⁴Cu]3 (Log P_o/w = −2.68 for [⁶⁴Cu]6B compared to −1.17 for [⁶⁴Cu]3). Low liver uptake of CB-TE2A-chelated [⁶⁴Cu]6 ligands might also be related their higher stability in forming complexes with Cu(II) and Cu(I), assuming Cu(II) reduction is the primary reason for transchelation, as reported previously.⁵⁶ It is worth mentioning that [⁶⁴Cu]3, which possesses an overall negative charge, exhibited higher kidney and spleen uptake that was similar to that observed for ^99mTc-oxo labeled PSMA-targeted compounds.³⁴

Both kidney and tumor uptake of [⁶⁴Cu]6B were specifically blocked by ZJ43, demonstrating PSMA-mediated renal uptake, however, much faster renal clearance of [⁶⁴Cu]6B was observed compared to clearance from PSMA+ PIP tumor. We and others have seen a similar pattern of faster clearance of radioactivity from PSMA-expressing kidney than PSMA+ PIP tumor, presumably associated with more rapid flow through normally organized renal parenchymal vasculature compared to the relatively disorganized vasculature of the xenograft.^26,65,66 As an extension of that particular pharmacokinetic feature, [⁶⁴Cu]6 exhibited the highest tumor-to-normal tissue ratios in this series of agents and the ratios increased with time, thereby providing high image contrast. Moreover, no bone uptake was observed for [⁶⁴Cu]6, indicating that this agent may find application for detection of prostate cancer metastases, which are preferentially found in bone.

The imaging and biodistribution results demonstrate higher in vivo stability and renal clearance for CB-TE2A-chelated [⁶⁴Cu]6 compared to NOTA-chelated [⁶⁴Cu]3, which appears to be in contradistinction to previous reports that involve similar comparison for agents that target somatostatin receptor and α_vβ₃ integrin. In those reports [⁶⁴Cu]NOTA-conjugated radiopeptides provided faster renal clearance than those conjugated with [⁶⁴Cu]CB-TE2A.^46,47 Although unclear at this time, this difference between ⁶⁴Cu-labeled species for targeting of PSMA vs somatostatin receptor or integrin may be associated with other physical properties unique to each system such as binding affinity or capacity for internalization of the cognate ligands. It nevertheless underscores the uniqueness of each system and indicates that one chelator cannot be assumed to outperform another in a new, untested system.

There are several classes of imaging agents available for PET-based molecular imaging of PSMA, including antibodies,^4,5,32,67 antibody fragments,⁶⁸ aptamers,⁴⁹ and low-molecular-weight PSMA-binding affinity agents.^14,65 They have widely varying pharmacokinetics, however, each class has shown PSMA-specific binding in preclinical studies. Rockey and colleagues have recently optimized conditions for conjugating ⁶⁴Cu to a PSMA-targeting aptamer with different chelators, which has shown PSMA-mediated uptake in PSMA+ 22Rv1 prostate tumor cells relative to PSMA– PC3 cells.⁴⁹ The radiolabeled monoclonal antibodies [⁶⁴Cu]DOTA-3/A12¹⁴ and [⁸⁹Zr]DFO-J591⁵⁵ both showed values of approximately 3:1 at 48 h post-injection for PSMA+ to PSMA- tumor. Among the long-lived PET radionuclides, ⁶⁴Cu and ⁸⁹Zr, the stability of the [⁸⁹Zr]DFO complex is limited as shown in several in vitro and in vivo in studies, which is reflected in a bone accumulation ranging from 3 to 15% and assumed to be associated with the nonlinear nature of the desferrioxamine (DFO) chelating agent.⁶⁹ More recently, studies in biopsy tissue from patients with prostate cancer and cell lines have demonstrated a correlation between PSMA cell–surface expression and androgen activity using ⁶⁴Cu-labeled anti-PSMA antibody ([⁶⁴Cu]J591).²⁰ ImmunoPET detection of PSMA could provide a path for quantitative monitoring of successful androgen blockade in patients. Low-molecular-weight urea-based agent [⁶⁴Cu]6 could be an inexpensive alternative for those applications. Furthermore, results obtained with [⁶⁴Cu]6 suggest that delayed imaging with ⁶⁴Cu-labeled PSMA-targeted ligands using CB-TE2A can improve the visualization of PSMA+ tumors in vivo anywhere outside of central nervous system and may allow imaging of tumors with lower PSMA expression levels than possible with existing ¹⁸F- or ⁶⁸Ga-labeled PSMA-targeted imaging agents.

Conclusion

We describe five new low-molecular-weight, urea-based, ⁶⁴Cu-labeled, PSMA-targeted radiotracers that incorporated well-established chelating agents. All compounds demonstrated high tumor uptake and retention with the choice of chelator having a profound effect on pharmacokinetics. Our data revealed that [⁶⁴Cu]6, which utilizes the CB-TE2A chelator, demonstrated improved biodistribution with rapid clearance from normal tissues, including kidney, resulting in significantly improved image contrast. Accordingly, [⁶⁴Cu]6 provides a potentially clinically viable imaging agent for PSMA+ tissues, particularly if delayed imaging, obtainable with a ⁶⁴Cu-labeled agent, is required.

Experimental Section

Solvents and chemicals purchased from commercial sources were of analytical grade or better and used without further purification. All 9-fluorenylmethyloxycarbonyl (Fmoc) protected amino acids including the Fmoc-Lys(Boc)-Wang resin, 1-hydroxybenzotriazole monohydrate, and 2-(1H-benzotriazole-1-yl)-1,1,3,3-tetramethyluronium hexafluorophosphate (HBTU) were purchased from Chem Impex International Inc. (Wooddale, IL). [⁶⁴Cu]CuCl₂ was purchased from the University of Wisconsin. DOTA-tris(t-butyl ester)-monoacid, p-SCN-Bn-NOTA, p-SCN-Bn-PCTA, and p-SCN-Bn-oxo-DO₃A were received from Macrocyclics Inc. (Dallas, TX). Copper(II) chloride, triethylsilane (Et₃SiH), diisopropylethylamine (DIEA), and triethylamine (TEA) were purchased from Sigma-Aldrich (St. Louis, MO). All other chemicals were purchased from Thermo Fisher Scientific (Pittsburgh, PA) unless otherwise specified. Analytical thin-layer chromatography (TLC) was performed using Aldrich aluminum-backed 0.2 mm silica gel Z19, 329-1 plates and visualized by ultraviolet light (254 nm), I₂, and 1% ninhydrin in EtOH. Flash chromatography was performed using silica gel (MP SiliTech 32-63 D 60 Å) purchased from Bodman (Aston, PA). All in vitro PSMA binding studies and determination of partition coefficient experiments were performed in triplicate to ensure reproducibility. ¹H NMR spectra were recorded on a Bruker UltrashieldTM 400 MHz spectrometer. Chemical shifts (δ) are reported in ppm downfield by reference to proton resonances resulting from incomplete deuteration of the NMR solvent. Low resolution ESI mass spectra were obtained on a Bruker Daltonics Esquire 3000 Plus spectrometer. High resolution mass spectra were obtained by the University of Notre Dame Mass Spectrometry and Proteomics Facility, Notre Dame, IN, using ESI either by direct infusion on a Bruker microTOF-II or by LC elution via an ultrahigh pressure Dionex RSLC with C₁₈ column coupled with a Bruker microTOF-Q II.

HPLC purification of compounds 3–7 was performed using a Phenomenex C₁₈ Luna 10 × 250 mm² column on a Waters 600E Delta LC system with a Waters 486 variable wavelength UV/vis detector, both controlled by Empower software. HPLC was performed using the following methods. Method 1: solvent A (0.1% TFA in water) and solvent B (0.1% TFA in in acetonitrile), flow rate 8 mL/min. The elution gradient was 90% A and 10% B for 0–5 min and 90% A to 0% A and 10% B to 100% B over 6–30 min. Methods 2–5 were isocrati,c with a flow rate 4 mL/min. Method 2: 85% A and 15% B for 0–50 min. Method 3: 82% A and 18% B for 0–40 min. Method 4: 83% A and 17% B for 0–40 min. Method 5: 78% A and 22% B for 0–30 min. Method 6: 80% A and 20% B for 0–30 min, flow rate 1 mL/min, and a Waters Novapak C₁₈ 150 × 3.9 mm² column was used. HPLC purification of [⁶⁴Cu]3-7 were performed on a Varian Prostar System (Palo Alto, CA), equipped with a Varian ProStar 325 UV–vis variable wavelength detector and a Bioscan Flow-Count in-line radioactivity detector, all controlled by Galaxie software. The specific radioactivity was calculated as the radioactivity eluting at the retention time of product during the preparative HPLC purification divided by the mass corresponding to the area under the curve of the UV absorption. The purity of tested compounds as determined by analytical HPLC with absorbance at 220 nm were >95%.

Synthesis and Characterization of Compounds 1–7

Compounds 1,²⁸ and 2,²⁶ and 7(26) were prepared following our previous reports. Compounds 3–5 were prepared following a general procedure as described for compound 3.

9,16,24-Trioxo-1-thioxo-1-((4-(((S)-1,4,7-tris(carboxymethyl)-1,4,7-triazonan-2-yl)methyl)phenyl)amino)-2,8,17,23,25-pentaazaoctacosane-7,22,26,28-tetracarboxylic Acid, Compound 3

To a solution of 2 (20 mg, 0.33 μmol in 500 μL of DMSO) was added NOTA-Bn-SCN (18.5 mg, 0.33 μmol in 500 μL of DMSO) and DIEA (100 μL), and the solution was kept at 40 °C for 4 h. The reaction mixture was then evaporated to dryness, and the crude residue was dissolved in 2 mL of water and loaded on a prepacked C₁₈ column (5.5 g, Agilent SF10). The product was eluted with 80/20–70/30 H₂O (0.1%TFA)/CH₃CN (0.1% TFA) solution. The fractions containing the products were combined together and evaporated to dryness to obtain a colorless solid. The solid thus obtained was further purified by HPLC (method 1, retention time, R_t 15.80 min). Yield ∼8 mg (0.076 μmol, ∼23%) after HPLC purification and lyphilization. ¹H NMR (DMSO-d₆) δ: 8.15 (m, 1H, HNCO(Lys-linker)), 7.75 (m, 1H, HNCO(Lys)), 7.14 (d, 2H, Bz), 6.78 (d, 2H, Bz), 6.34 (m, 2H, NH(CO)NH), 4.40–3.99 (m, 3H, HC(NHCO₂(Glu), HC(NHCO₂(Lys), HC(NHCO₂(Lys)), 3.40–3.30 (m, 7H, NCH₂, CHCH₂, (NOTA)), 3.21–3.03(m, 16H, (CH₂)₂(NOTA), H₂C-Bz, H₂CNH(Lys-linker), H₂CNH(Lys)), 2.40–2.09 (m, 6H, H₂CCO₂(Glu), H₂CCO₂(linker), H₂CCO₂(linker)),1.89–1.55 (m, 6H, H₂CCH(Glu), H₂CCH(Lys-linker), H₂CCH(Lys)), 1.55–1.21 (m, 16H, (CH₂)₂(Lys), (CH₂)₂(Lys-Linker), (CH₂)₄(linker)). ESMS m/z: 1054 [M + H]⁺. HRESI+ MS: calcd for C₄₆H₇₂N₉O₁₇S, 1054.4767 [M + H]⁺; found, 1054.4771.

9,16,24-Trioxo-1-thioxo-1-((4-(((4S)-3,6,9-tris(carboxymethyl)-3,6,9,15-tetraazabicyclo[9.3.1]pentadeca-1(14),12-dien-4-yl)methyl)phenyl)amino)-2,8,17,23,25-pentaazaoctacosane-7,22,26,28-tetracarboxylic Acid, Compound 4

The compound was purified by HPLC (method 1; R_t 15.60 min). Yield ∼12 mg (0.076 μmol, ∼23%) after HPLC purification and lyophilized. ¹H NMR (DMSO-d₆) δ: 8.14 (m, 1H, HNCO(Lys-linker)), 7.80–7.75 (m, 2H, HNCO(Lys), Py), 7.32 (d, 2H, Py), 7.15 (d, 2H, Bz), 6.78 (d, 2H, Bz), 6.35 (m, 2H, NH(CO)NH), 4.42–3.99 (m, 7H, HC(NHCO₂(Glu), HC(NHCO₂(Lys), HC(NHCO₂(Lys), H₂C-Py)), 3.42–3.31 (m, 7H, CHCH₂, NCH₂(PCTA)), 3.21–3.02 (m, 12H, (CH₂)₂(PCTA), H₂C-Bz, H₂CNH(Lys-linker), H₂CNH(Lys)), 2.41–2.08 (m, 6H, H₂CCO₂(Glu), H₂CCO₂(linker), H₂CCO₂(linker)), 1.89–1.55 (m, 6H, H₂CCH(Glu), H₂CCH(Lys-linker), H₂CCH(Lys)), 1.55–1.21 (m, 16H, (CH₂)₂ (Lys), (CH₂)₂(Lys-Linker), (CH₂)₄(linker)). ESMS m/z: 1132 [M + H]⁺. HRESI+ MS: calcd for C₅₁H₇₅N₁₀O₁₇S, 1131.5032 [M + H]⁺; found, 1131.5011.

9,16,24-Trioxo-1-thioxo-1-((4-((4,7,10-tris(carboxymethyl)-1-oxa-4,7,10-triazacyclododecan-2-yl)methyl)phenyl)amino)-2,8,17,23,25-pentaazaoctacosane-7,22,26,28-tetracarboxylic Acid, Compound 5

The compound was purified by HPLC (method 1; R_t 13.40 min). Yield ∼10 mg (0.076 μmol, ∼23%) after HPLC purification and lyophilization. ¹H NMR (DMSO-d₆) δ: 8.12 (m, 1H, HNCO(Lys-linker)), 7.80–7.75 (m, 1H, HNCO(Lys)), 7.14 (d, 2H, Bz), 6.79 (d, 2H, Bz), 6.32 (m, 2H, NH(CO)NH), 4.42–3.99 (m, 3H, HC(NHCO₂(Glu), HC(NHCO₂(Lys), HC(NHCO₂(Lys)), 3.49–3.31 (m, 11H, NCH₂(DO3A), CHCH₂(DO3A), OCH₂)), 3.21–3.02 (m, 16H, (CH₂)₂(DO3A), H₂C-Bz, H₂CNH(Lys-linker), H₂CNH(Lys)), 2.41–2.08 (m, 6H, H₂CCO₂(Glu), H₂CCO₂(linker), H₂CCO₂(linker)), 1.91–1.50 (m, 6H, H₂CCH(Glu), H₂CCH(Lys-linker), H₂CCH(Lys)), 1.50–1.22 (m, 16H, (CH₂)₂(Lys), (CH₂)₂(Lys-Linker), (CH₂)₄(linker). ESMS m/z: 1098 [M + 1]⁺, HRESI+ MS: calcd for C₄₈H₇₆N₉O₁₈S, 1098.5029 [M + H]⁺; found, 1098.5048.

(14S,29S,33S)-4,7-Dibenzyl-1-(11-(carboxymethyl)-1,4,8,11-tetraazabicyclo[6.6.2]hexadecan-4-yl)-2,5,8,16,23,31-hexaoxo-3,6,9,15,24,30,32-heptaazapentatriacontane-14,29,33,35-tetracarboxylic Acid, Compound 6

Fmoc-Lys(Boc)-Wang resin (100 mg, 0.43 mM) was allowed to swell with CH₂Cl₂ (3 mL) followed by DMF (3 mL). A solution of 20% piperidine in DMF (3 × 3 mL) was added to the resin that was then shaken gently on a mechanical shaker for 30 min at ambient temperature. The resin was washed with DMF (3 × 3 mL) and CH₂Cl₂ (3 × 3 mL). Formation of free amine was assessed by the Kaiser test. After swelling the resin in DMF, a solution of Fmoc-Phe-OH (3 equiv), HBTU (3 equiv), HOBt (3 equiv), and DIPEA (4.0 equiv) in DMF was added and gently shaken for 2 h. The resin was then washed with DMF (3 × 3 mL) and CH₂Cl₂ (3 × 3 mL). The coupling efficiency was assessed by the Kaiser test. The aforementioned sequence was repeated for two more coupling steps with Fmoc-Phe-OH and CB-TE2A, respectively. The final compound was cleaved from the resin using TFA:CH₂Cl₂ (1:1) and concentrated under vacuum to produce 8. The concentrated product was purified by using a C₁₈ SepPak Vac 2g column. The product was eluted with a solution 70/30 water/acetonitrile (0.1% TFA in each). ESI-MS: 635 [M]⁺. To a solution of 8 (20 mg, 31 μmol in 500 μL of DMSO) (27 mg, 47 μmol) and DIEA (50 μL) was added 1, and the reaction mixture was left at ambient temperature for 2 h. The solution was diluted in 10 mL of water and was purified by HPLC (method 1, time (R_t), 20 min). Yield ∼10 mg (0.076 μmol, ∼22%) after HPLC purification and lyophilization. ¹H NMR (DMSO-d₆): 9.02–8.07 (m, 12H, HNCO(Lys-linker), HNCO(Lys), PhCH₂), 6.34 (m, 2H, NH(CO)NH), 4.62 (m, 2H, NHCO₂(Phe)), 4.37–4.28 (m, 3H, (m, 3H, HC(NHCO₂(Glu), HC(NHCO₂(Lys), HC(NHCO₂(Lys)), 3.65–3.01 (m, 14H, CH₂ N(CB-TE2A), H₂CPhe, H₂CNH(Lys), H₂CNH(Lys)), 2.74–2.41 (m, 20H, NCH₂CH₂(CB-TE2A), 2.41–2.08 (m, 6H, H₂CCO₂(Glu), H₂CCO₂(linker), H₂CCO₂(linker)), 1.91–1.50 (m, 10H, CH₂(CB-TE2A), H₂CCH(Glu), H₂CCH(Lys-linker), H₂CCH(Lys)), 1.56–1.22 (m, 16H, (CH₂)₂(Lys), (CH₂)₂(Lys-Linker), (CH₂)₄(linker). ESMS m/z: 1222 [M + H]⁺. HRESI+ MS: calcd for C₆₀H₉₁N₁₁O₁₆, 1221.6645; found, 1221.4951.

Copper Complexes of Ligand 3, 4, 5, 6, and 7

Copper compounds [^63/65 Cu]3–5 and[^63/65 Cu]7 were prepared by the same general procedure as presented for compound 3 below. [^63/65Cu]6A–B were prepared by same conditions as described for their radiosynthesis.

[^63/65Cu]3. To a solution of Cu(NO₃)₂ (1 mg, 20 μmol in 100 μL) in deionized water was added 3 (1 mg, 0.95 μmol) in 500 μL of 0.2 M NaOAc. The resulting solution was heated in boiling water for 0.5 h. The solution was purified by HPLC method 2. The retention time for the product was 34 min. Yield: ∼50%. ESIMS m/z: 1115 [M + H]⁺. HRMS: calcd for C₄₆H₇₀CuN₉O₁₇S, 1115.3906 [M + H]⁺; found, 1115.3828.

[^63/65Cu]4. The compound was purified by HPLC method 3. Retention time for the product was at 22 min. Yield: ∼50%. ESIMS m/z: 1192 [M + H]⁺. HRMS: calcd for C₅₁H₇₃CuN₁₀O₁₇S, 1192.4172 [M + H]⁺; found, 1192.4364.

[^63/65Cu]5. The compound was purified by HPLC method 4. Retention time for the product was at 14 min. Yield: ∼60%. ESIMS m/z: 1160 [M + H]⁺. HRMS: calcd for C₄₈H₇₆CuN₉O₁₈S, 1160.4247 [M + H]⁺; found, 1160.3828.

[^63/65Cu]6A–B .The compound was purified by HPLC method 5. Retention time for the products were at 24 and 26 min. Yield: ∼50%. ESIMS m/z: 1285 [M + H]⁺. HRMS: calcd for C₆₀H₉₁CuN₁₁O₁₆, 1284.5930 [M + H]⁺; found, 1284.5786.

[^63/65Cu]7. The compound was purified by HPLC method 6. R_t for the product was at 13 min. Yield: ∼55%. ESIMS m/z: 1349 [M + H]⁺. HRMS: calcd for C₆₀H₉₀CuN₁₁O₂₀, 1348.5650 [M + H]⁺; found, 1348.5671

⁶⁴Cu Radiolabeling

Radioligands [⁶⁴Cu]3–5 and 7 were prepared by the same general method as described for [⁶⁴Cu]3. For each radiolabeling reaction, approximately 30–40 μg of ligand and in 200 mM NaOAc (purged under N₂ for 2–3 min) was incubated with 3–4 mCi ⁶⁴CuCl₂ at pH 5.5–6 for 0.3 h in a water bath at 65 °C. Radiolabeling was monitored by injecting aliquots of 20–40 μL of the solution onto the HPLC. When the reaction reached completion, the reaction mixture was diluted with 1 mL of water then loaded onto a preparative HPLC for purification using method 2, R_t 41 min, for the desired product and R_t 38 min for the free ligand. The radiolabeled product [⁶⁴Cu]3 was obtained in ∼60–70% radiochemical yield, and the radiochemical purity was >98% as measured by ITLC (Gelman ITLC strips, 10 mM EDTA). HPLC method 2 was used to purify the radiolabeled product [⁶⁴Cu]3. R_t 34 min for the desired product and R_t 42 min for the free ligand. The specific activity of the probe was 2.9–9.1 GBq/μmol (n = 4). The acidic eluate was neutralized with 50 μL of 1 M Na₂(CO₃), and the volume of the eluate was reduced under vacuum to dryness. The solid residue was diluted with saline to the desired radioactivity concentration for biodistribution and imaging studies. HPLC method 3 was used for [⁶⁴Cu]4, R_t = 20–26 min for [⁶⁴Cu]4 and R_t = 15 min for the free ligand 4. [⁶⁴Cu]4 was isolated in two peaks, R_t 20–22 min for the first fraction and 23–26 min for the second fraction. On the basis of the initial results (in PET imaging both fractions displayed similar in vivo distributions), only the second fraction was used for all studies. HPLC method 4 was used for [⁶⁴Cu]5. Retention times for [⁶⁴Cu]5 and free ligand were and 14.5 and 9.5 min, respectively. The radiotracer [⁶⁴Cu]7 was purified by HPLC method 6. R_t for [⁶⁴Cu]7 was at 13 min.

For [⁶⁴Cu]6A–B, radiolabeling was done in a boiling water bath for 1 h by incubation of ⁶⁴CuCl₂ with the corresponding ligand using 0.2 NaOAc buffer at pH = 7.5–8. HPLC method 5, R_t = 24.9 min (A) and 26.8 min (B) for the desired products and R_t = 19.8 min (A) and 21.5 min (B) for the free ligands. The specific activity of the probe was 2.9 GBq–12.84 GBq/μmol.

NAALADase Assay

The PSMA inhibitory activities of 3–7 and the corresponding copper-labeled analogues were determined using a fluorescence-based assay according to a previously reported procedure. ²⁸ Briefly, lysates of LNCaP cell extracts (25 μL) were incubated with the inhibitor (12.5 μL) in the presence of 4 μM N-acetylaspartylglutamate (NAAG) (12.5 μL) for 120 min. The amount of the glutamate released by NAAG hydrolysis was measured by incubating with a working solution (50 μL) of the Amplex Red glutamic acid kit (Life Technologies, Grand Island, NY) for 60 min. Fluorescence was measured with a VICTOR3 V multilabel plate reader (Perkin-Elmer Inc., Waltham, MA) with excitation at 490 nm and emission at 642 nm. Inhibition curves were determined using semilog plots, and IC₅₀ values were determined at the concentration at which enzyme activity was inhibited by 50%. Enzyme inhibitory constants (K_i values) were generated using the Cheng–Prusoff conversion.⁷⁰ Assays were performed in triplicate. Data analysis was performed using GraphPad Prism version 4.00 for Windows (GraphPad Software, San Diego, California).

Cell Lines

Sublines of the androgen-independent PC3 human prostate cancer cell line, originally derived from an advanced androgen independent bone metastasis, were used. These sublines have been modified to express high (PC3 PIP) or possess low (PC3 flu) levels of PSMA and were generously provided by Dr. Warren Heston (Cleveland Clinic). PSMA-expressing (PC3 PIP), nonexpressing (PC3 flu) PCa cell lines, were grown in RPMI 1640 medium (Corning Cellgro, Manassas, VA) containing 10% fetal bovine serum (FBS) (Sigma-Aldrich, St.Louis, MO) and 1% penicillin–streptomycin (Corning Cellgro, Manassas, VA) and PC-3 PIP cells were grown under 20 μg/mL of puromycin to maintain PSMA expression. All cell cultures were maintained in an atmosphere containing 5% carbon dioxide (CO₂) at 37.0 °C in a humidified incubator.

Tumor Models

Animal studies were carried out in full compliance with the regulations of the Johns Hopkins Animal Care and Use Committee. Six-to-eight-week-old male, nonobese diabetic (NOD)/severe-combined immunodeficient (SCID) mice (Johns Hopkins Immune Compromised Core) were implanted subcutaneously (sc) with PC3 PIP (PSMA+) and PC3 flu (PSMA−) cells (1 × 10⁶ in 100 μL of HBSS (Corning Cellgro, Manassas, VA) at the forward right and left flanks, respectively. Mice were imaged or used in ex vivo biodistribution assays when the xenografts reached 5– 7 mm in diameter.

Small-Animal PET Imaging and Analysis

Dynamic and whole-body PET and CT images were acquired on an eXplore VISTA small-animal PET (GE Healthcare) and an X-SPECT small SPECT/CT system (Gamma Medica Ideas), respectively. For imaging studies, mice were anesthetized with 3% and maintained under 1.5% isoflurane (v/v). PET-CT Imaging studies were performed on NOD/SCID mice bearing PSMA+ PC3 PIP and PSMA– PC3 flu tumors. Immediately after intravenous injection of [⁶⁴Cu]3–7, changes in radiotracer accumulation were recorded over the whole body using an imaging sequence consisting of eight frames for a total of 30 min with variable dwell times as described previously.^43,65 After dynamic imaging, whole-body PET images (two bed positions, 15 min emission per bed position) were acquired at the indicated time points after injection of radiotracer. For binding specificity studies, a mouse was subcutaneously administered with a blocking dose of the known PSMA inhibitor ZJ43 (50 mg/kg) at 30 min before the injection of [⁶⁴Cu]6B, and another mouse was injected with [⁶⁴Cu]6B alone. After each PET scan, a CT scan was acquired as 512 projections using a 50 keV beam for anatomic coregistration. PET emission data were corrected for decay and dead time and were reconstructed using the three-dimensional ordered-subsets expectation maximization algorithm. Data were displayed and analyzed using AMIDE software (http://sourceforge.net/amide), and volume-rendered images were generated using Amira 5.2.0 software (Visage Imaging Inc.; http://www.vsg3d.com/amira).

Ex Vivo Biodistribution

Mice bearing PSMA+ PC3 PIP and PSMA– PC3 flu xenografts were injected via the tail vein with 740 kBq (20 μCi) of ⁶⁴Cu in 200 μL of saline. At 30, 60, 240, and 240 or 300 min postinjection, the mouse was sacrificed by cervical dislocation and the blood immediately collected by cardiac puncture. The heart, lungs, liver, stomach, pancreas, spleen, fat, kidney, muscle, small and large intestines, urinary bladder, PSMA+ PC3 PIP and PSMA– PC3 flu tumors were collected. Each organ was weighed, and the tissue radioactivity was measured with an automated gamma counter (1282 Compugamma CS, Pharmacia/LKBNuclear, Inc., Mt. Waverly, Victoria, Australia). The % ID/g was calculated by comparison with samples of a standard dilution of the initial dose. All measurements were corrected for decay.

Data Analysis

Data are expressed as mean ± standard deviation (SD). Prism software (GraphPAD, San Diego, California) was used to determine statistical significance. Statistical significance was calculated using a paired t test. A P-value <0.0001 was considered significant.

Glossary

Abbreviations Used

PSMA

prostate-specific membrane antigen

GCPII

glutamate carboxypeptidase II

NAALADase

N-acetylated-α-linked acidic dipeptidase

PET

positron emission tomography

SPECT

single photon emission computed tomography

NOTA

1,4,7-triazacyclononane-1,4,7-triacetic acid

CB-TE2A

4,11-bis(carboxymethyl)-1,4,8,11-tetraazabicyclo[6.6.2]hexadecane

PCTA

3,6,9,15-tetraazabicyclo[9.3.1]-pentadeca-1(15),11,13-triene)-3,6,9-triacetic acid

oxo-DO3A

oxa-4,7,1-tetraazacyclododecane-4,7,10-triacetic acid

DOTA

1,4,7,10-tetraazacyclododecane-N,N′,N″,N‴-tetraacetic acid

Supporting Information Available

Detailed spectral data and supporting PET-CT blocking study image. This material is available free of charge via the Internet at http://pubs.acs.org.

The authors declare no competing financial interest.

Funding Statement

National Institutes of Health, United States