Skip to content

Advertisement

Open Access

Preparation and preclinical evaluation of a 68Ga-labelled c(RGDfK) conjugate comprising the bifunctional chelator NODIA-Me

  • Tilman Läppchen1, 2,
  • Jason P. Holland1, 3,
  • Yvonne Kiefer1 and
  • Mark D. Bartholomä1Email author
EJNMMI Radiopharmacy and Chemistry20183:6

https://doi.org/10.1186/s41181-018-0043-2

Received: 16 March 2018

Accepted: 10 April 2018

Published: 2 May 2018

Abstract

Background

We recently developed a chelating platform based on the macrocycle 1,4,7-triazacyclononane with up to three, five-membered azaheterocyclic arms for the development of 68Ga- and 64Cu-based radiopharmaceuticals. Here, a 68Ga-labelled conjugate comprising the bifunctional chelator NODIA-Me in combination with the αvß3-targeting peptide c(RGDfK) has been synthesized and characterized. The primary aim was to evaluate further the potential of our NODIA-Me chelating system for the development of 68Ga-labelled radiotracers.

Results

The BFC NODIA-Me was conjugated to c(RGDfK) by standard peptide chemistry to obtain the final bioconjugate NODIA-Me-c(RGDfK) 3 in 72% yield. Labelling with [68Ga]GaCl3 was accomplished in a fully automated, cGMP compliant process to give [68Ga]3 in high radiochemical yield (98%) and moderate specific activity (~ 8 MBq nmol− 1). Incorporation of the Ga-NODIA-Me chelate to c(RGDfK) 2 had only minimal influence on the affinity to integrin αvß3 (IC50 values [natGa]3 = 205.1 ± 1.4 nM, c(RGDfK) 2 = 159.5 ± 1.3 nM) as determined in competitive cell binding experiments in U-87 MG cell line. In small-animal PET imaging and ex vivo biodistribution studies, the radiotracer [68Ga]3 showed low uptake in non-target organs and specific tumor uptake in U-87 MG tumors.

Conclusion

The results suggest that the bifunctional chelator NODIA-Me is an interesting alternative to existing ligands for the development of 68Ga-labelled radiopharmaceuticals.

Keywords

Gallium-68Integrinsαvß3 PET imagingBifunctional chelatorNODIA-Me

Background

The transmembrane integrin αvß3 receptor is a well-established target for imaging tumor angiogenesis. The integrin αvß3 receptor is upregulated in activated endothelial cells of tumors undergoing angiogenesis but is not expressed in normal cells and quiescent vessel cells making it a key target for the diagnosis of malignant tumors and metastases (Hood and Cheresh 2002; Sheldrake and Patterson 2009). Besides applications in oncology, imaging of αvß3 expression is also applied in cardiology and inflammatory diseases (Kourtzelis et al. 2017; Mandic et al. 2016).

In recent years, many peptide-based probes comprising of either one or multiple αvß3-targeting vectors were developed for noninvasive imaging of αvß3 expression by PET (positron emission tomography) (Gurrath et al. 1992). Reported compounds have been labelled with a range of radionuclides including fluorine-18, gallium-68 and copper-64 (Cai and Conti 2013; Chen et al. 2016; Haubner et al. 2014). For example, the radiotracers [18F]Fluoro-Galacto-RGD (Haubner et al. 2004), [68Ga/64Cu]Ga/Cu-NODAGA-RGD (Dumont et al. 2011), [68Ga/64Cu]Ga/Cu-DOTA-RGD (Dumont et al. 2011), [64Cu]Cu-AmBaSar-RGD (Cai et al. 2010) and [68Ga]Ga-TRAP-(RGD)3 (Notni et al. 2013) have demonstrated promise for imaging αvß3. Several αvß3-targeting radiotracers have been evaluated in clinical studies including [18F]Fluoro-Galacto-RGD, [18F]Fluoro-RGD-K5, [18F]FPPRGD2, [18F]Fluoro-fluciclatide, [18F]Fluoro-alfatide, [18F]Fluoro-alfatide II, [68Ga]Ga-NOTA-RGD and [68Ga]Ga-NOTA-PRGD2 (Cai and Conti 2013; Chen et al. 2016; Haubner et al. 2014).

We recently developed a chelating platform based on the macrocycle 1,4,7-triazacyclononane (TACN) with additional five-membered azaheterocyclic arms for the coordination of the PET radionuclides gallium-68 and copper-64 (Gotzmann et al. 2016; Schmidtke et al. 2017). Initial work revealed that these chelators are characterized by their excellent complexation properties for both radiometals. Labelling with copper-64 was achieved rapidly under very mild conditions (< 1 min incubation time, room temperature) over a pH range of 4.0 to 8.0 to give products with high specific activities (120–180 MBq nmol− 1). Stability studies also demonstrated that 64Cu-labelled complexes have high kinetic stability in vitro (Gotzmann et al. 2016). In subsequent work, we discovered that the imidazole-type ligands can also be labelled with gallium-68 (Schmidtke et al. 2017). Complexation properties were comparable to the ligand NOTA (1,4,7-triazacyclononane-1,4,7-triacetic acid) (Schmidtke et al. 2017). More recently, we described the bifunctional chelator (BFC) NODIA-Me (2-(4,7-bis((1-methyl-1H-imidazol-2-yl)methyl)-1,4,7-triazonan-1-yl)acetic acid), in which one of the methylimidazole arms was replaced with an acetic acid group. This acetic acid group served as site for the attachment of a prostate-specific membrane antigen targeting vector via peptide bond formation (Schmidtke et al. 2017). In more recent small-animal imaging and ex vivo biodistribution studies, 64Cu- and 68Ga-labelled PSMA-targeting conjugates comprising the BFC NODIA-Me specifically delineated PSMA-positive LNCaP tumors (Läppchen et al. 2018). Moreover, no significant decomplexation/transchelation of the radiometal chelate was noted in vivo, underscoring the potential use of our chelating platform for radiopharmaceutical applications.

In the present study, we sought to expand the scope of the BFC NODIA-Me for the development of 68Ga-based radiopharmaceuticals. Here, we report studies on a 68Ga-labelled αvß3-targeting probe conjugated to the BFC NODIA-Me. The αvß3-targeting bioconjugate NODIA-Me-c(RGDfK) was evaluated in vitro by a competitive cell binding assay, followed by small-animal PET imaging and ex vivo biodistribution studies.

Methods

General

Chemicals and solvents were purchased from Sigma-Aldrich and TCI Europe, and used as received. The bifunctional chelator NODIA-Me 1 was prepared as previously described (Schmidtke et al. 2017). The peptide c(RGDfK) 2 was purchased from ABX (Radeberg, Germany). The radioligand [125I]I-echistatin was obtained from Perkin Elmer (Boston, USA). Low resolution electrospray ionisation mass spectrometry (LR-ESI(+)-MS) was performed on a PerkinElmer Flexar SQ 300 MS Detector. Radiolabelling with [68Ga]GaCl3 was accomplished using a fully automated synthesis module (Pharmtracer, Eckert & Ziegler, Berlin, Germany) with an IGG100 generator (Eckert & Ziegler, Berlin, Germany). High performance liquid chromatography (HPLC) was performed on an Agilent 1260 Infinity System equipped with an Agilent 1200 DAD UV detector (UV detection at 220 nm) and a Raytest Ramona radiation detector (Raytest GmbH, Straubenhardt, Germany) in series. A Phenomenex Jupiter Proteo (250 × 4.60 mm) column was used for analytical HPLC. The solvent system was A = H2O (0.1% TFA) and B = acetonitrile (0.1% TFA). The gradient was 0–1 min 5% B, 1–20 min 40% B at a flow rate of 1 mL min− 1. Semi-preparative HPLC was performed on a Knauer Smartline 1000 HPLC system in combination with a Macherey Nagel VP 250/21 Nucleosil 120–5 C18 column. Semi-preparative HPLC gradient was 0–40 min 5–60% B at a flow rate of 12 mL min− 1. Samples were lyophilized using a Christ Alpha 1–2 LD plus lyophilizer. All instruments measuring radioactivity were calibrated and maintained in accordance with previously reported routine quality-control procedures (Zanzonico 2009). Radioactivity was measured using an Activimeter ISOMED 2010 (Nuklear-Medizintechnik, Dresden, Germany). For accurate quantification of radioactivity, experimental samples were counted for 1 min on a calibrated Perkin Elmer (Waltham, MA, USA) 2480 Automatic Wizard Gamma Counter by using a dynamic energy window of 400–600 keV for gallium-68 (511 keV emission).

Synthesis of NODIA-Me-c(RGDfK) (3)

NODIA-Me 1 (1.25 mg, 0.003 mmol), HATU (1-[bis(dimethylamino)methylene]-1H-1,2,3-triazolo[4,5-b]pyridinium-3-oxide hexafluorophosphate) (2 mg, 0.005 mmol) and DIPEA (N,N-diisopropylethylamine) (2.6 mg, 4 μL, 0.02 mmol) were mixed in 500 μL anhydrous N,N-dimethylformamide (DMF) and allowed to stir for 30 min at room temperature (r.t.). Next, the peptide c(RGDfK) 2 (2 mg, 0.003 mmol) in 100 μL DMF was added and stirring was continued for additional 2 h. The solvent was removed by rotary evaporation and the residue was taken up in water/acetonitrile (50:50 v/v) with 0.1% trifluoroacetic acid (TFA) and purified by semi-preparative HPLC. Fractions containing the product were combined and lyophilized to give compound 3 as white powder (2.3 mg, 0.0024 mmol, 72%). LR-ESI-MS calcd m/z for C45H69N16O8 ([M + H]+): 961.5, found: 961.8. RP-HPLC (analytical): tR = 11:10 min. RP-HPLC (semi-preparative): tR = 6:10 min.

Preparation of natGa-NODIA-Me-c(RGDfK) ([natGa]3)

The bioconjugate NODIA-Me-c(RGDfK) 3 (500 μg, 0.52 μmol) in 250 μL H2O was mixed with 250 μL of metal stock solution containing 1.5 equivalents of Ga(NO3)3 and heated at 95 °C for 15 min. After cooling to r.t., the complex was purified using C18 Sep-Pak cartridge, which was preconditioned with 5 mL each of EtOH and H2O, respectively. After loading, the cartridge was washed with 2 mL H2O and the product was eluted using 2 mL EtOH:H2O (50:50 v/v). After evaporation of EtOH at ambient temperature, the remaining solution was lyophilized to give [natGa]3 (470 μg, 0.45 μmol, 88%). RP-HPLC (analytical): tR = 14:20 min. LR-ESI-MS calcd m/z for C45H68GaN16O8 ([M]2+): 514.5, found: 514.9.

Radiosynthesis of [68Ga]Ga-NODIA-Me-c(RGDfK) ([68Ga]3)

Radiolabelling of 3 with [68Ga]GaCl3 was accomplished by using the Modular-Lab PharmTracer automated synthesis module (Eckert&Ziegler, Berlin, Germany) as previously described (Schmidtke et al. 2017). An amount of 20 μg of 3 was used per labelling. The generator eluate provided ~ 350–450 MBq [68Ga]GaCl3. The radiochemical purity (RCP) was > 98% and the decay corrected radiochemical yield (RCY) was > 98%. The mean molar activity was Am = 8.4 ± 2.1 MBq nmol− 1 (n = 15). RP-HPLC (analytical, radioactivity detector): tR ([68Ga]3) = 14:30 min.

Lipophilicity (log Doct/PBS) measurements

For log Doct/PBS measurements, 1–2 MBq of [68Ga]3 in 20 μL labelling buffer were added to a mixture of phosphate buffered saline (PBS) pH 7.4 (Gibco Life Science Technologies, 4 mM phosphate buffer, 0.15 M NaCl) (480 μL) and octanol (500 μL). Samples were shaken for 30 min at room temperature, centrifuged at 13,200 rpm for 5 min and 100 μL of each phase were counted using a Packard Cobra gamma counter. Experiments were performed in triplicate.

Cell culture

U-87 MG cells (ATCC, Manassas, VA, USA) were cultured at 37 °C in a 5% CO2 atmosphere (Dulbecco modified Eagle medium with GlutaMAX containing 10% fetal bovine serum, 1% 10,000 U mL− 1 penicillin and 10,000 U mL− 1 streptomycin, 1% sodium-pyruvate 100 mM).

Competitive binding assay

The binding affinity of [natGa]3 was determined by a cell-based competitive binding assay in the human glioma cell line U-87 MG with [125I]I-echistatin as the radioligand as previously described (Dumont et al. 2011). Binding assays were performed in 24-well plates precoated with poly-L-lysine. Briefly, each compound at different concentrations (0–10,000 nM) was incubated for 2 h at r.t. with [125I]I-echistatin (30.000 cpm well− 1) and 2 × 105 U-87 MG cells well− 1. After incubation, cells were washed three times with ice cold binding buffer and cell-associated activity recovered by addition of 1 M NaOH. Radioactivity was measured by a gamma counter and data fitted using non-linear regression (GraphPad Prism). Experiments were performed two times in triplicate.

Small-animal PET imaging

All animal experiments complied with the current laws of the Federal Republic of Germany and were conducted according to German Animal welfare guidelines. Normal female athymic Balb/c nude mice (17–20 g, 4–6 weeks old) were obtained from Janvier SAS (St. Berthevin Cedex, France). Mice were provided with food and water ad libitum. U-87 MG tumors were inoculated on the right shoulder by sub-cutaneous injection of 5×106 cells in a 100 μL cell suspension of a 1:1 v/v mixture of media with reconstituted basement membrane (GFR BD Matrigel™, Corning BV, Amsterdam, Holland).

For PET imaging studies, mice (n = 3) were injected with 100 μL sterile filtered phosphate buffered saline formulations pH 7.4 of [68Ga]3 (7–11 MBq) by intravenous tail-vein injection and anesthetized with isoflurane (2–4% in air) 5–10 min prior image acquisition. PET imaging was performed on a Focus 120 microPET scanner at 1 h after administration. Data were acquired 1 h post administration in list mode. Reconstruction was performed using unweighted OSEM2D. Image analysis was performed using AMIDE. Image counts per second per voxel (cps/voxel) were calibrated to activity concentrations (Bq mL− 1) by measuring a 3.5 cm cylinder phantom filled with a known concentration of radioactivity. For data analysis, it was explicitly assumed that the density of tissue equals 1.0 g cm− 3, hence the reported units of %IA g− 1 are identical to %IA cm− 3. Specificity of [68Ga]3 was confirmed by competitive inhibition (blocking) co-injecting the peptide c(RGDfK) 2 (5 mg kg− 1 = ~ 100 nmol mouse− 1; n = 3) in approximately 100fold excess compared to the radiotracer.

Ex vivo biodistribution

For each compound, a total of five animals were injected with [68Ga]3 (7–11 MBq) in 100 μL sterile filtered phosphate buffered saline via a tail vein. At 1 h p.i., animals were sacrificed by isoflurane anesthesia. Organs of interest were dissected, weighed and assayed for radioactivity in a gamma counter. The percent injected activity per gram (%IA g− 1) for each tissue was calculated by comparison of the tissue counts to a standard sample prepared from the injectate. Specificity of [68Ga]3 was determined by co-injection of the peptide c(RGDfK) 2 (5 mg kg− 1 = ~ 100 nmol mouse− 1).

Results and discussion

Bioconjugate synthesis

The bifunctional chelator NODIA-Me 1 bearing an acetic acid residue for the covalent attachment of appropriate targeting vectors was successfully conjugated to the peptide c(RGDfK) 2 in DMF using HATU as coupling reagent (Scheme 1). The final bioconjugate 3 was obtained in 72% yield after purification by semi-preparative RP-HPLC. The identity and purity of compound 3 (> 98%) was determined by mass spectrometry and analytical RP-HPLC.
Figure 1
Scheme 1

Synthesis of NODIA-Me-c(RGDfK) 3. HATU, DIPEA, DMF, r.t., 72%

Radiochemistry

Radiosynthesis of [68Ga]3 was performed using an automated synthesis module by heating 20 μg of compound 3 with [68Ga]GaCl3(aq.) at 95 °C for 10 min as previously described (Schmidtke et al. 2017). The RCP and the decay corrected RCY for [68Ga]3 were measured to > 98% with mean specific activities of ~ 8 MBq nmol− 1. The identity of [68Ga]3 was confirmed by analytical HPLC using the non-radioactive reference compound.

Lipophilicity

The radiolabelled conjugate [68Ga]3 is highly hydrophilic with a log Doct/PBS value of − 3.89 ± 0.02. Interestingly, in a series of c(RGDfK) based radiopharmaceuticals with different bifunctional chelators that give gallium complexes of different overall charge, [68Ga]3 with a positively charged metal chelate was more hydrophilic than [68Ga]Ga-NODAGA-c(RGDfK) or [68Ga]Ga-DOTA-c(RGDfK), which have a neutral and negative overall charge on the metal chelate (log D values: − 3.27 ± 0.01 and − 2.86 ± 0.01), respectively (Dumont et al. 2011).

Competitive binding assay

The binding affinity of [natGa]3 was compared to c(RGDfK) 2 in a competitive binding assay on αvß3-positive U-87 MG cells using [125I]I-echistatin as radioligand. Both compounds inhibited the binding of [125I]I-echistatin in a dose dependent manner. The IC50 values for 2 and [natGa]3 were determined to IC50 = 159.5 ± 1.3 nM and IC50 = 205.1 ± 1.4 nM, which are in accordance to previously reported IC50 values (Dumont et al. 2011). Introduction of the metal chelate had only a minimal effect on receptor binding resulting in a slightly lower affinity of [natGa]3 compared to peptide 2. Corresponding inhibition curves are given in Fig. 1.
Figure 1
Fig. 1

Inhibition of [125I]I-echistatin binding to integrin αvß3 on U-87 MG cells by c(RGDfK) 2 (IC50 = 159.5 ± 1.3 nM) and natGa-NODIA-Me-c(RGDfK) [natGa]3 (IC50 = 205.1 ± 1.4 nM) (n = 2 in triplicate, mean ± SD)

In vivo studies

In our efforts to demonstrate the applicability of our novel chelating system for radiopharmaceutical applications, we assessed the stability and pharmacokinetic profile of [68Ga]3 by small-animal experiments.

Ex vivo biodistribution

Biodistribution data for [68Ga]3 are presented in Table 1. For comparison, equivalent data taken from the literature are also given for compounds [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) (Dumont et al. 2011). The primary difference between these three compounds is the change in chelator. The highest activity accumulation of [68Ga]3 among all tissues at 1 h p.i. was seen for the αvß3-positive U-87 MG tumors with 2.10 ± 0.09 %IA g− 1. Despite differences in the tumor models used, accumulation of [68Ga]3 in U-87 MG xenografts is comparable to that of previously reported 68Ga-labelled RGD peptides in αvß3-expressing tumors (Boros et al. 2012; Ferreira et al. 2012; Pohle et al. 2012). In comparison to [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK), which have previously been evaluated under similar conditions, tumor uptake of [68Ga]3 was somewhat lower than that of [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) (Table 1) (Dumont et al. 2011). Tumor uptake was significantly reduced by 86% (P value < 0.0001) by co-injection of c(RGDfK), indicating receptor specific binding in tumor tissue. Accumulation in the kidneys and the liver was low considering the positively charged NODIA-Me metal chelate because positively charged compounds might be retained in both organs (Dearling et al. 2013; Dearling et al. 2015; Sprague et al. 2007). In previous animal studies of our 64Cu-labelled chelators (without a targeting vector), substantial uptake and retention of activity was observed in the kidneys by small-animal PET imaging (Gotzmann et al. 2016). This kidney accumulation of radioactivity was attributed to the positive overall charge of the metal complexes. In the present study, [68Ga]3 exhibited the lowest kidney uptake compared to the previously described compounds [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK). Obviously, the pharmacokinetics of [68Ga]3 are mainly determined by the peptidic targeting vector. However, all three compounds make use of different bifunctional chelators that produce 68Ga complexes of different shape, overall charge and lipophilicity. In contrast to DOTA and NODAGA, the chelator NODIA-Me 1 does not possess any charge compensating donor atoms and forms complexes with [68Ga]Ga3+ of an overall charge of either 2+ or 3+, whether the remaining coordination site of the gallium octahedron is occupied by a monodentate ligand such as hydroxide or chloride or not. While we have been able to characterize the exchange of chloride vs. hydroxide for the bioconjugate NODIA-Me-PSMA (Schmidtke et al. 2017), we neither observed such an exchange in a more recent study with another PSMA-targeting conjugate (Läppchen et al. 2018) nor in the present study. On the other hand, [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) give complexes that have an overall charge of 0 and − 1, respectively (Dumont et al. 2011). Obviously, the differences of the metal chelates resulted in different pharmacokinetic profiles of the tracers underlining the influence of the metal binding moiety on the biological properties of the final radiopharmaceutical. A similar trend as found for the kidneys was observed for the liver with [68Ga]3 exhibiting the lowest liver uptake in this series. On the other hand, the blood activity of [68Ga]3 with 0.54 ± 0.08 %IA g− 1 was comparable to that of [68Ga]Ga-DOTA-c(RGDfK) with 0.38 ± 0.07 %IA g− 1 and slightly higher than that of [68Ga]Ga-NODAGA-c(RGDfK) with 0.16 ± 0.03 %IA g− 1. Accumulation of [68Ga]3 at 1 h p.i. in all other organs was low (< 1 %IA g− 1). Interestingly, [68Ga]3 exhibited lower uptake in the spleen, intestine, stomach and lung compared to [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK). Despite the lower tumor uptake, the tumor-to-tissue ratios of [68Ga]3 for the liver, kidneys and muscle are comparable to those of [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) (Table 1).
Table 1

Ex vivo biodistribution of [68Ga]3 in mice bearing αvß3-positive U-87 MG tumors at 1 h p.i. along with blocking studies in comparison to [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) (data taken from ref. Dumont et al. 2011). Data are expressed as %IA g− 1 and represent mean ± SD (n = 5)

Organ

[68Ga]3

[68Ga]Ga-NODAGA-c(RGDfK)

[68Ga]Ga-DOTA-c(RGDfK)

1 h

1 h blockade

1 h

1 h

Blood

0.54 ± 0.08

0.50 ± 0.03

0.16 ± 0.03

0.38 ± 0.07

Heart

0.31 ± 0.05

0.16 ± 0.03

0.33 ± 0.07

0.35 ± 0.08

Lung

0.62 ± 0.09

0.33 ± 0.06

0.80 ± 0.07

0.87 ± 0.12

Spleen

0.73 ± 0.05

0.34 ± 0.05

1.73 ± 0.44

1.34 ± 0.21

Liver

1.02 ± 0.13

0.37 ± 0.20

1.86 ± 0.23

1.60 ± 0.27

Pancreas

0.21 ± 0.01

0.09 ± 0.07

0.23 ± 0.08

0.29 ± 0.05

Stomach

0.54 ± 0.13

0.12 ± 0.02

1.40 ± 0.34

1.50 ± 0.36

Intestine

0.31 ± 0.01

0.13 ± 0.01

1.83 ± 0.51

1.79 ± 0.30

Kidney

1.65 ± 0.12

0.87 ± 0.16

1.98 ± 0.51

2.24 ± 0.34

Muscle

0.18 ± 0.01

0.09 ± 0.01

0.49 ± 0.29

0.29 ± 0.04

Bone

0.36 ± 0.06

0.14 ± 0.04

0.45 ± 0.21

0.35 ± 0.05

Tumor

2.10 ± 0.09

0.29 ± 0.16

5.19 ± 1.45

3.47 ± 0.78

Tumor-to-blood

3.91 ± 0.43

 

27.67 ± 7.01

9.24 ± 1.12

Tumor-to-kidney

1.27 ± 0.04

 

2.64 ± 0.31

1.57 ± 0.14

Tumor-to-liver

2.08 ± 0.18

 

2.75 ± 0.31

2.25 ± 0.37

Tumor-to-muscle

11.69 ± 0.29

 

12.80 ± 5.25

12.37 ± 1.81

The specificity of [68Ga]3 for integrin αvß3 was confirmed in blocking studies by co-injection of an ~100fold excess c(RGDfK), which resulted in a significant reduction of tracer uptake in all tissues (P values < 0.05 for all tissues). This is in accordance with the literature where αvß3 imaging probes demonstrate low but blockable uptake in normal tissues (Chen et al. 2004; Decristoforo et al. 2008; Dijkgraaf et al. 2011; Li et al. 2007; Wei et al. 2009).

Small-animal PET imaging

In addition to the ex vivo biodistribution studies, the distribution profile of [68Ga]3 was also assessed 1 h after administration by small-animal PET imaging. Corresponding transverse and coronal maximum intensity projections of [68Ga]3 in αvß3 xenograft bearing mice along with blocking studies are given Fig. 2. The results of the biodistribution study were confirmed by PET imaging. The αvß3 positive U-87 MG tumors as well as the liver and the kidneys were clearly visible on the PET images. The tumor uptake of [68Ga]3 was determined to 2.48 ± 0.14 %IA g− 1. The differences in blood and tissue activity versus tumor activity between [68Ga]3, [68Ga]Ga-NODAGA-c(RGDfK) and [68Ga]Ga-DOTA-c(RGDfK) gave a tumor-to-background ratio of 6.76 for [68Ga]3 that was lower than that of [68Ga]Ga-NODAGA-c(RGDfK) (11.97) but about 2-fold higher than that of [68Ga]Ga-DOTA-c(RGDfK) (3.28) (Dumont et al. 2011). The specificity of [68Ga]3 was confirmed in blockade studies by co-injecting c(RGDfK) shown in Fig. 2b, which resulted in a significant reduction of tumor accumulation (0.67 ± 0.10 %IA g− 1) (P value < 0.0001) and reduced uptake in all other organs.
Figure 2
Fig. 2

a Representative coronal (top) and transverse (bottom) maximum intensity projections (MIPs) of [68Ga]3 at 1 h p.i. in U-87 MG tumor bearing mice. b Blocking studies confirmed the specificity of [68Ga]3 for αvß3 expression. White arrows indicate the tumors

Conclusions

In this work, we successfully developed a 68Ga-labelled bioconjugate comprising our novel chelator NODIA-Me for imaging the αvß3 integrin receptor. The final bioconjugate was readily obtained in a single reaction step by standard peptide chemistry in good yields. The resulting bioconjugate was labelled with [68Ga]GaCl3 in a cGMP compliant process in high yields and moderate specific activity. Introduction of the novel metal chelate to the peptide c(RGDfK) had only a minimal impact on receptor binding. U-87 MG tumors overexpressing the αvß3 integrin receptor were specifically delineated in ex vivo biodistribution and small-animal PET imaging studies by the corresponding 68Ga-labelled bioconjugate. Uptake of the novel tracer in non-target tissues was low providing acceptable tumor-to-background ratios. Even though tumor uptake and tumor-to-background ratios were lower compared to [68Ga]Ga-NODAGA-c(RGDfK), the low uptake in non-target tissues indicates kinetically stable complexation of gallium-68 in the bifunctional chelator NODIA-Me. Altogether, our results demonstrate that our novel chelating system is an interesting alternative to existing bifunctional chelators such as DOTA and NODAGA for 68Ga-based radiopharmaceuticals.

Abbreviations

%IA g-1

Percent of injected activity per gram

BFC: 

Bifunctional chelator

DIPEA: 

N,N-diisopropylethylamine

DMF: 

N,N-dimethylformamide

DOTA: 

1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid

HATU: 

1-[bis(dimethylamino)methylene]-1H-1,2,3-triazolo[4,5-b]pyridinium-3-oxide hexafluorophosphate

MIP: 

Maximum intensity projection

NODAGA: 

1,4,7-triazacyclononane -1,4-diacetic acid-7-glutaric acid

NODIA-Me: 

2-(4,7-bis((1-methyl-1H-imidazol-2-yl)methyl)-1,4,7-triazonan-1-yl)acetic acid

NOTA: 

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

PSMA: 

Prostate specific membrane antigen

RCP: 

Radiochemical purity

RCY: 

Radiochemical yield

TACN: 

1,4,7-triazacyclononane

TFA: 

Trifluoroacetic acid (TFA)

Declarations

Acknowledgements

The authors like to thank Prof. Helmut Mäcke for his helpful suggestions. M.D.B. thanks the Chemistry Department of the Albert-Ludwigs-University Freiburg (Germany) for its technical support.

Funding

J.P.H. thanks the Department of Nuclear Medicine, University Hospital Freiburg, the German Cancer Consortium (DKTK), and the German Cancer Research Center (DKFZ) for financial support as well as the Swiss National Science Foundation (SNSF Professorship PP00P2_163683) and the European Research Council (ERC-StG-2015, NanoSCAN – 676904). M.D.B. thanks the Research Commission of the University Freiburg and the Fonds der Chemischen Industrie for financial support. The article processing charge was funded by the German Research Foundation (DFG) and the University of Freiburg in the funding program Open Access Publishing.

Availability of data and materials

Data sharing not applicable to this article as no datasets were generated or analyzed during the study.

Authors’ contributions

MDB conceived and supervised the study. JPH and MDB designed experiments and drafted the paper. JPH, MDB, and TL edited the manuscript. TL, YK, JPH, and MDB performed experiments and analyzed data. All authors read and approved the final manuscript.

Ethics approval

All animal experiments were conducted in compliance with the German Animal Welfare Act (Deutsches Tierschutzgesetz, approval no. G-12/21).

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Nuclear Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
(2)
Department of Nuclear Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
(3)
Department of Chemistry, University of Zurich, Zurich, Switzerland

References

  1. Boros E, Ferreira CL, DTT Y, Gill RK, Price EW, Adam MJ, Orvig C. RGD conjugates of the H(2)dedpa scaffold: synthesis, labeling and imaging with Ga-68. Nucl Med Biol. 2012;39:785–94.View ArticlePubMedGoogle Scholar
  2. Cai HC, Conti PS. RGD-based PET tracers for imaging receptor integrin alpha(v)beta(3) expression. J Label Compd Radiopharm. 2013;56:264–79.View ArticleGoogle Scholar
  3. Cai HC, Li ZB, Huang CW, Shahinian AH, Wang H, Park R, Conti PS. Evaluation of Copper-64 labeled AmBaSar conjugated cyclic RGD peptide for improved MicroPET imaging of integrin alpha(v)beta(3) expression. Bioconjug Chem. 2010;21:1417–24.View ArticlePubMedGoogle Scholar
  4. Chen HJ, Niu G, Wu H, Chen XY. Clinical application of radiolabeled RGD peptides for PET imaging of integrin alpha(v)beta(3). Theranostics. 2016;6:78–92.View ArticlePubMedPubMed CentralGoogle Scholar
  5. Chen XY, Hou YP, Tohme M, Park R, Khankaldyyan V, Gonzales-Gomez I, Bading JR, Laug WE, Conti PS. Pegylated Arg-Gly-Asp peptide: Cu-64 labeling and PET imaging of brain tumor alpha(v)beta(3)-integrin expression. J Nucl Med. 2004;45:1776–83.PubMedGoogle Scholar
  6. Dearling JL, Paterson B, Dunning P, Snay E, Treves ST, Voss S. The effect of chelator charge on the biodistribution of engineered antibodies labeled with 64Cu. J Nucl Med Meeting Abstracts. 2013;54:1090.Google Scholar
  7. Dearling JL, Paterson BM, Akurathi V, Betanzos-Lara S, Treves ST, Voss SD, White JM, Huston JS, Smith SV, Donnelly PS, Packard AB. The ionic charge of copper-64 complexes conjugated to an engineered antibody affects biodistribution. Bioconjug Chem. 2015;26:707–17.View ArticlePubMedGoogle Scholar
  8. Decristoforo C, Gonzalez IH, Carlsen J, Rupprich M, Huisman M, Virgolini I, Wester HJ, Haubner R. (68)Ga- and (111)In-labelled DOTA-RGD peptides for imaging of alpha v beta 3 integrin expression. Eur J Nucl Med Mol Imaging. 2008;35:1507–15.View ArticlePubMedGoogle Scholar
  9. Dijkgraaf I, Yim CB, Franssen GM, Schuit RC, Luurtsema G, Liu SA, Oyen WJG, Boerman OC. PET imaging of alpha(v)beta(3) integrin expression in tumours with Ga-68-labelled mono-, di- and tetrameric RGD peptides. Eur J Nucl Med Mol Imaging. 2011;38:128–37.View ArticlePubMedGoogle Scholar
  10. Dumont RA, Deininger F, Haubner R, Maecke HR, Weber WA, Fani M. Novel Cu-64- and Ga-68-labeled RGD conjugates show improved PET imaging of alpha(v)beta(3) integrin expression and facile radiosynthesis. J Nucl Med. 2011;52:1276–84.View ArticlePubMedGoogle Scholar
  11. Ferreira CL, Yapp DTT, Mandel D, Gill RK, Boros E, Wong MQ, Jurek P, Kiefer GE. Ga-68 small peptide imaging: comparison of NOTA and PCTA. Bioconjug Chem. 2012;23:2239–46.View ArticlePubMedGoogle Scholar
  12. Gotzmann C, Braun F, Bartholomä MD. Synthesis, 64Cu-labeling and PET imaging of 1,4,7-triazacyclononane derived chelators with pendant azaheterocyclic arms. RSC Adv. 2016;6:119–31.View ArticleGoogle Scholar
  13. Gurrath M, Muller G, Kessler H, Aumailley M, Timpl R. Conformation activity studies of rationally designed potent antiadhesive Rgd peptides. Eur J Biochem. 1992;210:911–21.View ArticlePubMedGoogle Scholar
  14. Haubner R, Kuhnast B, Mang C, Weber WA, Kessler H, Wester HJ, Schwaiger M. [F-18]Galacto-RGD: synthesis, radiolabeling, metabolic stability, and radiation dose estimates. Bioconjug Chem. 2004;15:61–9.View ArticlePubMedGoogle Scholar
  15. Haubner R, Maschauer S, Prante O. PET radiopharmaceuticals for imaging integrin expression: tracers in clinical studies and recent developments. Biomed Res Int. 2014; https://doi.org/10.1155/2014/871609.
  16. Hood JD, Cheresh DA. Role of integrins in cell invasion and migration. Nat Rev Cancer. 2002;2:91–100.View ArticlePubMedGoogle Scholar
  17. Kourtzelis I, Mitroulis I, von Renesse J, Hajishengallis G, Chavakis T. From leukocyte recruitment to resolution of inflammation: the cardinal role of integrins. J Leukoc Biol. 2017; https://doi.org/10.1189/jlb.3MR0117-024R.
  18. Läppchen T, Kiefer Y, Holland JP, Bartholomä MD. In vitro and in vivo evaluation of the bifunctional chelator NODIA-Me in combination with a prostate-specific membrane antigen targeting vector. Nucl Med Biol. 2018; https://doi.org/10.1016/j.nucmedbio.2018.03.002.
  19. Li ZB, Cai WB, Cao QZ, Chen K, Wu ZH, He LN, Chen XY. 64Cu-labeled tetrameric and octameric RGD peptides for small-animal PET of tumor alpha(v)beta(3) integrin expression. J Nucl Med. 2007;48:1162–71.View ArticlePubMedGoogle Scholar
  20. Mandic L, Traxler D, Gugerell A, Zlabinger K, Lukovic D, Pavo N, Goliasch G, Spannbauer A, Winkler J, Gyongyosi M. Molecular imaging of angiogenesis in cardiac regeneration. Curr Cardiovasc Imaging Rep. 2016;9:27.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Notni J, Pohle K, Wester HJ. Be spoilt for choice with radiolabelled RGD peptides: preclinical evaluation of Ga-68-TRAP(RGD)(3). Nucl Med Biol. 2013;40:33–41.View ArticlePubMedGoogle Scholar
  22. Pohle K, Notni J, Bussemer J, Kessler H, Schwaiger M, Beer AJ. Ga-68-NODAGA-RGD is a suitable substitute for F-18-Galacto-RGD and can be produced with high specific activity in a cGMP/GRP compliant automated process. Nucl Med Biol. 2012;39:777–84.View ArticlePubMedGoogle Scholar
  23. Schmidtke A, Läppchen T, Weinmann C, Bier-Schorr L, Keller M, Kiefer Y, Holland JP, Bartholomä MD. Gallium complexation, stability, and bioconjugation of 1,4,7-triazacyclononane derived chelators with azaheterocyclic arms. Inorg Chem. 2017; https://doi.org/10.1021/acs.inorgchem.7b01129.
  24. Sheldrake HM, Patterson LH. Function and antagonism of beta3 integrins in the development of cancer therapy. Curr Cancer Drug Targets. 2009;9:519–40.View ArticlePubMedGoogle Scholar
  25. Sprague JE, Peng Y, Fiamengo AL, Woodin KS, Southwick EA, Weisman GR, Wong EH, Golen JA, Rheingold AL, Anderson CJ. Synthesis, characterization and in vivo studies of Cu(II)-64-labeled cross-bridged tetraazamacrocycle-amide complexes as models of peptide conjugate imaging agents. J Med Chem. 2007;50:2527–35.View ArticlePubMedGoogle Scholar
  26. Wei L, Ye Y, Wadas TJ, Lewis JS, Welch MJ, Achilefu S, Anderson CJ. Cu-64-labeled CB-TE2A and diamsar-conjugated RGD peptide analogs for targeting angiogenesis: comparison of their biological activity. Nucl Med Biol. 2009;36:277–85.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Zanzonico P. Routine quality controlof clinical nucliear medicine instrumentation: a brief review. J Nucl Med. 2009;49:1114–31.View ArticleGoogle Scholar

Copyright

© The Author(s) 2018

Advertisement