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. 2018 Apr 10;9(27):19307–19316. doi: 10.18632/oncotarget.25028

Comparison and evaluation of two RGD peptides labelled with 68Ga or 18F for PET imaging of angiogenesis in animal models of human glioblastoma or lung carcinoma

Claire Provost 1,2, Aurélie Prignon 1, Laura Rozenblum-Beddok 1,3, Quentin Bruyer 2, Sylvie Dumont 4, Fatiha Merabtene 4, Valérie Nataf 3, Cédric Bouteiller 2, Jean-Noël Talbot 1,3
PMCID: PMC5922398  PMID: 29721204

Abstract

The aim of this study was to evaluate two RGD radiotracers radiolabelled with fluorine-18 or gallium-68, in detecting angiogenesis in grafted human tumours and monitoring their treatment with the anti-angiogenic agent bevacizumab.

Sixteen mice bearing an U87MG tumour in one flank and a contralateral A549 tumour were treated with intravenous injections of bevacizumab twice a week for 3 weeks. PET images with 18F-RGD-K5 and 68Ga-RGD were acquired before treatment (baseline), after three bevacizumab injections (t1) and after seven bevacizumab injections (t2).

In A549 tumours, the treatment stopped the tumour growth, with a tumour volume measured by calliper remaining between 0.28 and 0.40 cm3. The decrease in tumour uptake of both RGD tracers was non-significant. Therefore it was not possible to predict this efficacy on tumour growth based on RGD PET results, whereas ex vivo measurements showed a significantly lower tumour uptake of both tracers in mice sacrificed at t2 vs. at baseline.

In U87MG tumours, the uptake measured on PET decreased during treatment, reflecting the partial therapeutic effect observed on tumour volume, consisting in a decrease in the slope of tumour growth. Using 18F-RGD-K5, this decrease in tumour SUVmax became significant at t1, whereas it was also observed with the 68Ga-RGD tracer, but only at t2. 18F-RGD-K5 appeared more efficient than 68Ga-RGD in the visualisation and follow-up of U87MG tumours.

The comparison of those results with those of immunohistochemistry at baseline and at t2 favoured the hypothesis that tumour RGD uptake reflects other cancer properties than just its angiogenic capacity.

Keywords: preclinical PET, integrins αvβ3, angiogenesis, 68Ga-RGD, 18F-RGD-K5

INTRODUCTION

The formation of new blood vessels involving the migration, growth, and differentiation of endothelial cells, has been described around the end of 1900’s [1]. It has rapidly been shown that this process, named angiogenesis, plays a critical role in the growth and spread of cancers [2]. One of the identified targets in relation with this process is an heterodimeric transmembrane glycoprotein receptor, the integrin ανβ3, which is usually overexpressed in tumour-associated blood vessels [3]. It has been highlighted that the aminoacid sequence arginine-glycine-aspartic acid (RGD) is an important binding epitope of several extracellular matrix proteins, such as vitronectin, fibrinogen, osteopontin and fibronectin, recognized by the integrin ανβ3. Various radiotracers for positron emission tomography (PET) imaging incorporating the RGD sequence were developed and radiolabeled with different radionuclides [4]. During last years, cyclic monomeric, dimeric, and tetrameric RGD derivatives were labelled with gallium-68 [5], fluorine-18 or copper-64 for PET imaging [4, 6]. The first one to be used in human studies was [18F]Galacto-RGD [7–9], then the [18F]AH111585 and the [18F]-FPPRGD2 (GE healthcare) [10, 11], the [18F]alfatide [12], the [18F]RGD-K5 (Siemens) [13] and, more recently, the [68Ga]NOTA-PRGD2 [14] and the [68Ga]NODAGA-RGD [15]. In preclinical studies, RGD radiotracers were evaluated in different cancer models of melanoma [16], lung cancer [17], breast cancer [18] and especially glioblastoma (GB). U87MG cells line, which overexpresses the integrin ανβ3, has been the most widely reported among models of human GB [19]. Some recent studies addressed the utility of the RGD PET radiotracers in monitoring antiangiogenic treatment. 18F-fluciclatide could detect changes in tumour vascularity in mice bearing U87MG in response to sunitinib therapy [20]. [18F]FPPRGD2, with quantitative analysis of dynamic PET, was able to distinguish effective from ineffective VEGF121/rGel therapy in U87MG and A549 mice models at an early stage [21]. [18F]AlF-NOTA-PRGD2 PET/CT was considered as useful to monitoring early response to Endostar anti-angiogenic treatment in a model of nasopharyngeal carcinoma (NPC) xenograft [22].

The aim of our study was to compare, in mouse models bearing human cancer grafts, two PET radiotracers that incorporate the RGD sequence, one radiolabelled with 18F and the other one with 68Ga. Two models were tested, either grafting the U87MG cell line of human GB, which is highly vascular and ανβ3 positive, or grafting A549 cell line of human lung carcinoma, which is moderately vascular and ανβ3 positive, at a lower level than U87MG [23]. The comparison was extended to monitoring during 3 weeks the effect of bevacizumab, an anti-angiogenic antibody raised against vascular endothelial growth factor (VEGF), on these two models, by measuring the tumour diameter and by performing PET imaging at three time points.

RESULTS

Radiolabelling

The time required for radiolabelling was around 110 minutes for 18F-RGD-K5 and 45 minutes for 68Ga-RGD. The overall decay-corrected radiochemical yields (RY) of 18F-RGD-K5 and 68Ga-RGD were respectively 15% and 96%. The radiochemical purity (RP) was ≥98% for both radiotracers. Specific activities (SA) of 68Ga-RGD and 18F-RGD-K5 were respectively 4.85 ± 0.78 and >14.8 MBq/nmol, which were better than acceptance criteria for batch release.

Normal biodistribution of the PET tracers

The time-evolution of biodistribution of the two radiotracers in healthy mice was illustrated with time activity curves (TACs) (Figure 1). The logarithmic ordinate corresponds to the percentage of the quantified radioactivity of each organ measured on PET over the injected radioactivity dose corrected for radionuclide decay. 18F-RGD-K5 and 68Ga-RGD demonstrated a rapid clearance from the blood and all tissues, except in the urinary elimination route (kidneys and bladder). Renal excretion was maximal between 5 and 10 min p.i. and decreased slowly. Accumulation in urinary bladder increased up to 35 min and then reached a plateau at a level of 52 ± 9% for 18F-RGD-K5 and 32 ± 10% for 68Ga-RGD. One hour after injection, the liver uptake of 18F-RGD-K5, 6.5 ± 1.56%, was somewhat greater than that of 68Ga-RGD, 4 ± 0.72% (Figure 1).

Figure 1.

Figure 1

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Time-activity curves of PET radiotracer biodistribution in healthy mice. Solid lines represent the percentage of injected dose accumulated in each organ for 18F-RGD-K5 and dotted lines for 68Ga-RGD. Red lines correspond to the heart, yellow to the liver, blue to the kidneys and pink to the bladder.

Tumour uptake of PET tracers before treatment (baseline)

When the mean volume reached 0.26 ± 0.17 cm3 for U87MG tumours and 0.37 ± 0.14 cm3 for A549 tumours, the baseline PET images were acquired. The tumours were successfully visualised on PET with both tracers (Figure 2A and 2C). The intensity of uptake in U87MG tumours was greater with 18F-RGD-K5 than with 68Ga-RGD, with a mean of maximum standardised uptake value (SUVmax) of 1.44 ± 0.23 versus 0.93 ± 0.33 (p = 0.05). For A549 tumours, SUVmax was 1.18 ± 0.35 for 18F-RGD-K5 and 0.94 ± 0.27 for 68Ga-RGD (p = 0.31). No statistically significant difference in baseline tumour uptake was observed between the U87MG and A549 tumours (p = 0.27 with 18F-RGD-K5 and p = 0.98 with 68Ga-RGD).

Figure 2.

Figure 2

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Representative static PET images (A–C) and quantitative analysis of uptake using SUVmax (B–D) of 18F-RGD-K5 and 68Ga-RGD in U87MG-tumour-bearing mice (A–B) and in A549-tumour-bearing mice (C–D), before treatment (baseline) and during anti-angiogenic treatment (t1 and t2). Gb: gallbladder, L: liver; K: kidney; B: bladder; S: spleen. *p < 0.05 and **p < 0.005.

Effect of treatment on tumour volume

In a first approach, the effect of treatment was evaluated by measuring the tumour volume with calliper. Bevacizumab stopped the growth of A549 tumours, the volume of which stayed between 0.28 and 0.40 cm3 (Figure 3A). U87MG tumours continued to grow despite bevacizumab treatment, but, compared with the spontaneous evolution of U87MG tumour volume in untreated mice, a partial effect of the anti-angiogenic treatment became obvious after 7 days (p = 0.04) and reinforced after 14 days (p = 0.0004) (Figure 3B).

Figure 3.

Figure 3

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Evolution of tumour volume in cm3, measured with calliper. (A) Growth of U87MG and A549 tumours treated with bevacizumab. (B) Comparison of tumour volume between bevacizumab-treated and non-treated (NT) U87MG tumours *p < 0.05 and ***p < 0.0005.

Evolution of tumour tracer uptake on PET during treatment

During treatment, mean SUVmax of 18F-RGD-K5 was 0.74 ± 0.23 at t1 (10 days after the beginning of treatment) and then 0.54 ± 0.14 at t2 (22 days after the beginning of treatment) in U87MG tumours. In A549 tumours, it was 0.67 ± 0.08 at t1 and then 0.70 ± 0.13 at t2. With 68Ga-RGD, mean SUVmax was 0.74 ± 0.27 at t1 (12 days after the beginning of treatment) and then 0.41 ± 0.07 at t2 (23 days after the beginning of treatment) in U87MG tumours, and 0.57 ± 0.05 at t1 and then 0.59 ± 0.32 at t2 in A549 tumours (Figure 2). For U87MG tumours, the SUVmax of 18F-RGD-K5 decreased significantly between baseline and t1 (p = 0.005); and was also significantly lower at t1 than at baseline (p = 0.001). For 68Ga-RGD, the decrease of SUVmax became significant only at t2 (p = 0.04) (Figure 2A and 2B). For A549 tumours, a non- significant trend to decrease was observed with both tracers (Figure 2C and 2D).

Ex vivo determination of tumour tracer uptake

In the U87MG tumours, the %ID/g was significantly greater before anti-angiogenic treatment for 18F-RGD-K5 than for 68Ga-RGD (p = 0.04). After the end of treatment (t2), the difference was no longer significant. For both tracers, %ID/g was significantly greater in non-treated tumours at baseline than in treated tumours at t2: 4.22 ± 0.57 vs. 2.17 ± 1.20 (p = 0.03) with 18F-RGD-K5, and 2.94 ± 0.80 vs. 1.01 ± 0.55 (p = 0.01) with 68Ga-RGD (Figure 4A).

Figure 4.

Figure 4

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Ex vivo uptake of 18F-RGD-K5 and 68Ga-RGD in U87MG or A549 tumour-bearing mice, either non-treated (baseline) or after 3 weeks of anti-angiogenic treatment (t2). *p < 0.05.

For the A549 tumours, the %ID/g before anti-angiogenic treatment was similar with 18F-RGD-K5 or 68Ga-RGD. It was significantly greater with 18F-RGD-K5 in treated tumours at t2 (p = 0.04). For both tracers, %ID/g was significantly greater in non-treated at baseline than in treated tumours at t2: 3.88 ± 1.15 vs. 2.18 ± 1.61 (p = 0.05) with 18F-RGD-K5, and 3.22 ± 1.09 vs. 1.15 ± 0.36 (p = 0.03) with 68Ga-RGD (Figure 4B).

Immunochemistry results

Immunohistochemistry staining with Ki67 and CD31 was conducted to further investigate the effect of anti-angiogenic treatment on tumour growth. U87MG tumours had intense proliferation and abundant vasculature, as indicated by strong signal of Ki67 and CD31 staining of the untreated tumour slices (Figure 5). Before treatment, A549 tumours had more heterogeneous proliferation than U87MG tumours (Figure 5A) and significantly less vasculature (p = 0.03 Figure 5B). Compared to non-treated tumours at baseline, a significantly lower proliferation was observed in treated tumours at t2, both for U87MG (p = 0.00003) and A549 (p = 0.003) tumours (Figure 5A). Compared to non-treated tumours at baseline, a significantly lower MVD was observed in treated tumours at t2, both for U87MG (p = 0.01) and A549 (p = 0.003) tumours (Figure 5B).

Figure 5.

Figure 5

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Immunohistochemistry staining Ki67 (A) and CD31 (B) in non-treated (baseline) or treated (t2) tumours. *p < 0.05 **p < 0.005 and ****p < 0.00005.

Relation between PET tracer uptake, measured in vivo and ex vivo, and immunohistochemistry

As expected, there was a significant correlation between the tumour uptake of RGD tracers measured as SUVmax on PET and as %ID/g of tumour ex vivo, in A549 or U87MG tumours (r = 0.77, p < .0.0001). Furthermore, the expression of CD31 was positively correlated with the tumour uptake of RGD tracers expressed either as SUVmax measured on PET (r = 0.54, p = 0.006) or as %ID/g of tumour measured ex vivo (r = 0.53, p = 0.03).

DISCUSSION

For more than 15 years, the first radiolabelled RGD peptides have been introduced to image angiogeniesis via the visualization of integrin αvβ3 expression thanks to nuclear medicine imaging [24]. At the present time, some RGD PET tracers have been evaluated in clinical trials but their roles in clinical practice have not been assessed yet.

In this study, our aim was to evaluate and compare two RGD PET tracers, 18F-RGD-K5 and 68Ga-NODAGA-c(RGDfK) (abbreviated as 68Ga-RGD above) to predict and monitor efficacy of anti-angiogenic treatment in two different tumour models with different potential of vascular proliferation. Those two tracers have been chosen because they are currently investigated clinically [25]. To the best of our knowledge, there are no preclinical results available with the 18F-RGD-K5 PET tracer in oncology and no study compared these two tracers.

A few studies compared fluorine-labelled and gallium-labelled radiotracers for cancer targeting with PET. Preliminary results in mice or in humans [26, 27] found a trend to superior imaging with fluorinated tracers. This can be due, at least partially, to the physical characteristics of those radionuclides, with a shorter range of the positron of 18F compared to 68Ga, resulting in a better image resolution. Furthermore, the specific activity is greater when radiolabelling is performed with fluorine, in relation with the higher activity of 18F obtained from the cyclotron compared to that of 68Ga eluted from the 68Ge/68Ga generator. This favours a better visualization of the target lesions, with a higher tumour over non-tumour uptake ratio. On the other hand, the labelling with 18F requires a rather demanding environment, which is only available in industrial centres or PET centres equipped with their own cyclotron. It consists in a more complicated process involving more steps than 68Ga labelling of a tracer including a metal chelator. This implies a greater risk of failure in obtaining a fluorine-18 tracer that is adequate for human use.

In this in vivo study, the biodistribution in healthy mice was similar for both tracers (Figure 1). There were no intense physiological foci, apart from the elimination routes. Both tracers were eliminated via the urinary tract. 18F-RGD-K5 also had a significant biliary elimination; the liver and the gallbladder were visible on PET images, as described in humans [13]. The 18F-RGD-K5 was superior to the 68Ga-RGD for the visualisation of U87MG tumours before treatment (Figure 2). This greater tumour uptake was confirmed by the ex vivo measurement of the %ID/g (Figure 4).

Prior to treatment, immunohistochemistry confirmed abundant microvessels in the U87MG tumours (Figure 5), which were thus visualised on PET with both RGD radiotracers. Immunohistochemistry at baseline showed that the MVD of the A549 tumours was weaker than that of the U87MG tumours (Figure 5). The hypothesis was that MVD is correlated to integrin αvβ3 expression [28]. Indeed the link between MVD and integrin αvβ3 expression is not totally assessed. Guo et al. observed, using anti-human integrin αvβ3 antibodies, a greater expression of integrin for U87MG, in comparison with A549 tumours (22% and 5.5% of CD61 positive areas respectively). Another study using fluorescence imaging confirmed this difference of integrin αvβ3 expression between U87MG and A549 tumours [23]. Therefore a rather low tumour uptake of both radiotracers was expected in non-treated A549 tumours. Actually this was not observed and A549 tumours were visualised on PET with both tracers before treatment. There was no statistically significant difference between the U87MG and A549 tumours in the SUVmax of each radiotracer. Moreover the evidence for a similar radiotracer uptake in both models was reinforced by the ex vivo measurements that showed very similar values of the %ID/g. A first hypothesis to explain these results could be that the difference in the expression of αvβ3 integrin between U87MG and A549 tumours is not sufficient to be detected in vivo with PET and RGD tracers. Considering the fact that there was no significant difference in Ki67 index between the two tumour models at baseline, a second hypothesis to explain the similar tumour uptake of both radiotracers could be that the uptake of RGD tracers is related not only to microvasculature density, as confirmed by its significant correlation with the expression of CD31, but also to the overall proliferative capacity of the tumour.

The anti-angiogenic agent used in this study was bevacizumab, an antibody directed against vascular endothelial growth factor (VEGF), which was the first anti-angiogenic therapy registered for the treatment of various advanced cancers in humans (lung, GB, breast, colon, ovarian cancers). In this study, the efficacy of bevacizumab to reduce tumour volume has been evaluated by measuring grafted tumours with a calliper. During treatment, U87MG tumours continued to progress, but the comparison with spontaneous growth showed that bevacizumab was not totally ineffective in U87MG tumours. Our results and those of other teams show that untreated U87MG tumours grow rapidly and animals must be sacrificed after 30 days for ethical reasons, as the tumour load becomes too large [20, 21, 29], which was not the case of mice bearing U87MG tumours treated with bevacizumab. During bevacizumab treatment, it has been possible to confirm a drop in U87MG tumour uptake of both RGD radiotracers, even though the consequences of treatment were detected earlier with 18F-RGD-K5 than with 68Ga-RGD (Figure 2). Immunochemistry confirmed the effect of the treatment, since levels of Ki-67 and CD31 expression were lower at t2 than at baseline in these tumours. Concordant results have been reported by Battle et al. who monitored with 18F-fluciclatide the effects of repeated administration of sunitinib, an anti-angiogenic inhibitor of tyrosine kinase receptor, in an U87MG model [20]. The partial effect of bevacizumab could be explained by the ability of U87MG tumours to remodelling properties under treatment. Indeed studies have shown that the use of bevacizumab, or of other VEGFA/VEGFR2-targeting drugs, has been followed by adaptive tumour responses in preclinical models and clinical settings [30–33].

In contrast, the growth of A549 tumours was stopped by bevacizumab. Concordantly, immunohistochemistry showed lower levels of the proliferation index Ki67 and CD31 expression in treated vs. non-treated tumours. Concerning the PET tracers in A549 tumours, the results were less concordant. There was no difference between non-treated and treated tumours for RGD uptake of both radiotracers on PET. But, the %ID/g ex vivo was significantly less intense in treated than in non-treated A549 tumours. One explanation could be that the %ID/g is a more direct measurement of the actual radiotracer uptake than the SUVmax determined on a ROI that may include other structures than the tumour. It may thus be more sensitive to a decrease in integrin expression. On the other hand, the difference in %ID/g has been observed between two independent groups of mice whereas no significant change in SUVmax of a given tumour during treatment has been found using paired statistics considered to be the most powerful approach. It would be interesting to continue the study on a longer evaluation period to find out if the uptake of RGD tracers in A549 tumours actually reflects the response to treatment.

CONCLUSIONS

In this study, qualitative and semi-quantitative results with 18F-RGD-K5 and 68Ga-RGD were concordant, but 18F-RGD-K5 was more efficient than 68Ga-RGD for visualization and follow-up of U87MG tumours. The intensity of the radiotracer uptake prior to treatment, similar for both radiotracers, was not predictive of the quality of the response, which was a moderate reduction in the slope of tumour growth in the model of human GB vs. a strong inhibition of tumour growth in the model of human lung cancer. The Ki67 of the tumour at baseline as an index of aggressiveness was not able to improve the prediction since there was no significant difference in baseline value between glioblastoma (U87MG) and lung cancer (A549) models. Results of MVD with CD31 were not predictive. MVD was significantly lower in A549 than in U87MG, nevertheless A549 was the model that showed the best response to the anti-angiogenic antibody. It is interesting to note that U87MG and A549 models showed similar in vivo radiotracer uptake whereas they have different integrin αvβ3 expression. Thus RGD radiotracer uptake on PET probably not only reflects tumour vascularisation, which was confirmed in this study, but also the overall proliferative capacity of the tumour.

MATERIALS AND METHODS

The 2 radiotracers have different characteristics, in relation with the radionuclide and the carrier molecule (Table 1).

Table 1. Characteristics of 18F-RGD-K5 and 68Ga-RGD.

Radio-tracers Radionuclide Molecule
18F-RGD-K5 Fluorine-18 ½ half-life = 109.8 min
Positron yield = 96.86%
Mean energy Eβ = 0.250 MeV
Maximum energy Eβmax = 0.634 MeV		 graphic file with name oncotarget-09-19307-i001.jpg
68Ga-RGD Gallium-68 ½ half-life = 68 min
Positron yield = 89.14%
Mean energy Eβ = 0.829 MeV
Maximum energy Eβmax = 1.899 MeV		 graphic file with name oncotarget-09-19307-i002.jpg
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The chemical structure in green corresponds to the cyclic tripeptide RGD Arginin-Glycin-Aspartic acid (c(RGDfK), the orange structure corresponds to a sugar, the purple structure to the triazole, the blue structure to the NODAGA chelate and in red the radionuclide.

Radiolabeling of 18F-RGD-K5

RGD-K5 was synthesized by Siemens; its radiolabelling with fluorine-18 was already described by Doss et al. [13]. It was performed by PETNET Solutions (France) on an automated synthesis module (Explora I, Siemens, USA). All the syntheses were performed starting from 320 GBq to get a very high specific activity of the final product. The first step was the fluorination of 4-tosyloxypentyne leading to the intermediate 18F-pentyne. This intermediate was purified by distillation. The second step was the click chemistry reaction of 18F-fluoropentyne with 4 ± 0.4 mg of RGD-K5 azide precursor (989.11 g/mol). The final third step was the purification of the reaction mixture by reversed-phase high-performance liquid chromatography (HPLC). The collected fraction was reformulated as an injectable solution of 10% EtOH: water via C18 trap.

Radiolabelling of 68Ga-RGD

NODAGA-c(RGDfK) (Pichem, Austria) was radiolabelled according to the method of Knetsch et al. [16], with some modifications, on an automated synthesis module (Synchrome R&D, Raytest, Germany). The eluate from a 68Ge/68Ga generator (Iason, Austria) by 5 mL of 0.1 mol/L HCl was fractionated. Around 100 MBq of 68Ga3+ in 1.2 mL HCl were mixed with 7.5 µg of NODAGA-c(RGDfK) (961.03 g/mol) in 150µL of water trace select plus, 180 µL of 0.8 mol/L sodium acetate. Reaction products were heated for 10 minutes at 40°C. The radioligand was purified from unchelated 68Ga using a SepPak C18 light cartridge (Waters, USA) preconditioned with 2 mL of ethanol and 2 mL of water. One rinsing of 2mL of water was performed and 68Ga- NODAGA-c(RGDfK) was eluted with 800 µL of ethanol 100%. Ethanol was evaporated during few minutes by heating at 70° C, and the product was reconstituted with 1 mL of physiologic serum.

Animal model

Twenty 6-weeks old female nude mice (Charles River) were used for this experiment, which was performed in accordance with French guidelines and regulations, in application of the current European directive (2010/63/EU), with the permission of the committee on animal ethics (Charles Darwin, C2EA - 05). To serve as controls, 4 mice were grafted with U87MG cells lines and were not treated to monitor spontaneous tumour growth. Six of the sixteen mice remaining had PET imaging with one of the two tracers (three mice per tracer), before tumour engraftment, for analysis of TACs in healthy mice.

For a better understanding of the rest of the study, its design is presented on Figure 6.

Figure 6.

Figure 6

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Study design for comparison of 18F-RGD-K5 and 68Ga-RGD imaging during monitoring of bevacizumab treatment efficacy.

U87MG human GB and A549 human lung carcinoma cell lines (ATTCC) were maintained in RPMI 1640 with L glutamine (Sigma-Aldrich) supplemented with 10% foetal calf serum and 1% penicillin/streptomycin (Sigma-Aldrich). Cells were grown in T175 CellBind flasks (CellBind Flask Sigma-Aldrich) at 37° C in a humidified atmosphere containing 5% CO2.

Both cells lines were re-suspended in 100 µL of phosphate buffered saline and mixed 50/50 with Matrigel (BD Biosciences) to favour tumour engraftment. Mice were subcutaneously grafted in their right flank with 2 × 106 U87MG cells and in their left flank with 3 × 106 A549 cells. The resulting tumours were measured twice a week with a calliper. The two perpendicular diameters were recorded, and tumour volume (cm3) was calculated using the formula: V = π/6*l*w2, in which l = length and w = width. When the tumour volume reached 0.3 cm3, mice were separated into two groups of 8 with a similar tumour size, according to the tracer used for PET imaging, either 18F-RGD-K5 or 68Ga-RGD. Four mice of each group were sacrificed one hour after injection of the PET tracer and autopsied for ex-vivo analyses. The remaining 8 mice were treated by 20mg/kg of Bevacizumab (Avastin®, Roche, France) injected intravenously twice a week during 3 weeks. PET imaging with 18F-RGD-K5 or 68Ga-RGD were performed respectively after 9 days or 11 days and 22 or 23 days of treatment. After the last PET imaging, all mice were sacrificed and autopsied for ex-vivo analyses.

PET imaging

PET acquisitions were performed using the Mosaic animal PET machine (Philips Medical systems, USA). For each PET tracer, 1–6 MBq (∼0.1nmol of 18F-RGD-K5 or ∼0.5nmol of 68Ga-RGD) were injected intravenously in the retro-orbital sinus. Mice were maintained under anaesthesia with 1.5% isoflurane during acquisition. Dynamic PET imaging was performed, starting immediately post injection (p.i.) and lasting over 60 min. Static PET imaging was started 1 hour after 18F-RGD-K5 injection or 40 min after 68Ga-RGD injection, over 10 minutes. All sinograms were reconstructed and visualised as 3D images according to a scale of [SUV = radioactive concentration in the ROI (kBq/mL) multiplied by body weight (g) and divided by injected radioactivity (kBq)]. PET analyses were made using Syntegra–Philips software (PETView; Philips Medical Systems). Time activity curves (TACs) were obtained by drawing regions of interest (ROI) on dynamic images; counts in the ROI were reported to the total counts in the mouse derived from the dynamic PET data sets. Tumour uptake measured on the static PET data sets was reported as maximum standardised uptake value (SUVmax), which was calculated as the maximal value of the SUVs in the ROI.

Ex-vivo analysis

One hour and twenty minutes after injection of 18F-RGD-K5 and one hour after injection of 68Ga-RGD, mice were sacrificed and dissected. The organs and tumours were removed, weighed and counted in a gamma-counter (1480 Wizard 3, Perkin Elmer). Uptake of tumours and tissues was expressed as mean ± SD percentage of injected activity per gram of tissue (%ID/g), corrected for 18F or 68Ga decay.

All tumours were embedded in paraffin according to standard procedures and different stains were performed: haematoxylin-eosin (HE) for evaluating tissue appearance, tumour-proliferating antigen Ki67 for the tumour aggressiveness and CD31 for expressing the relative microvessel density (MVD) (%). The tumour slices were observed with an optical microscope in transmitted light (Nikon Eclipse, France). All quantitative analyses of the immunostaining were expressed as the percentage of positive area over the area of the entire section; they were measured by using Image J software.

Acknowledgments

The study was supported by the French Association Nationale de la Recherche et de la Technologie (ANRT) and PETNET Solutions SAS, Siemens healthineers. The precursor of RGD-K5 was kindly provided by Siemens Molecular Imaging, Inc.

Footnotes

CONFLICTS OF INTEREST

The authors declare that they have no competing interests.

REFERENCES

  • 1.Folkman J, Merler E, Abernathy C, Williams G. Isolation of a tumor factor responsible for angiogenesis. J Exp Med. 1971;133:275–88. doi: 10.1084/jem.133.2.275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Carmeliet P, Jain RK. Angiogenesis in cancer and other diseases. Nature. 2000;407:249–57. doi: 10.1038/35025220. [DOI] [PubMed] [Google Scholar]
  • 3.Brooks PC, Clark RA, Cheresh DA. Requirement of vascular integrin alpha v beta 3 for angiogenesis. Science. 1994;264:569–71. doi: 10.1126/science.7512751. [DOI] [PubMed] [Google Scholar]
  • 4.Gaertner FC, Kessler H, Wester HJ, Schwaiger M, Beer AJ. Radiolabelled RGD peptides for imaging and therapy. Eur J Nucl Med Mol Imaging. 2012;39:S126–38. doi: 10.1007/s00259-011-2028-1. [DOI] [PubMed] [Google Scholar]
  • 5.Eo JS, Jeong JM. Angiogenesis imaging using 68Ga-RGD PET/CT: therapeutic implications. Semin Nucl Med. 2016;46:419–27. doi: 10.1053/j.semnuclmed.2016.04.001. [DOI] [PubMed] [Google Scholar]
  • 6.Chen X, Sievers E, Hou Y, Park R, Tohme M, Bart R, Bremner R, Bading JR, Conti PS. Integrin alpha v beta 3-targeted imaging of lung cancer. Neoplasia. 2005;7:271–9. doi: 10.1593/neo.04538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Beer AJ, Haubner R, Goebel M, Luderschmidt S, Spilker ME, Wester HJ, Weber WA, Schwaiger M. Biodistribution and pharmacokinetics of the alphavbeta3-selective tracer 18F-galacto-RGD in cancer patients. J Nucl Med. 2005;46:1333–41. [PubMed] [Google Scholar]
  • 8.Beer AJ, Haubner R, Wolf I, Goebel M, Luderschmidt S, Niemeyer M, Grosu AL, Martinez MJ, Wester HJ, Weber WA, Schwaiger M. PET-based human dosimetry of 18F-galacto-RGD, a new radiotracer for imaging alpha v beta3 expression. J Nucl Med. 2006;47:763–9. [PubMed] [Google Scholar]
  • 9.Beer AJ, Niemeyer M, Carlsen J, Sarbia M, Nahrig J, Watzlowik P, Wester HJ, Harbeck N, Schwaiger M. Patterns of alphavbeta3 expression in primary and metastatic human breast cancer as shown by 18F-Galacto-RGD PET. J Nucl Med. 2008;49:255–9. doi: 10.2967/jnumed.107.045526. [DOI] [PubMed] [Google Scholar]
  • 10.Kenny LM, Coombes RC, Oulie I, Contractor KB, Miller M, Spinks TJ, McParland B, Cohen PS, Hui AM, Palmieri C, Osman S, Glaser M, Turton D, et al. Phase I trial of the positron-emitting Arg-Gly-Asp (RGD) peptide radioligand 18F-AH111585 in breast cancer patients. J Nucl Med. 2008;49:879–86. doi: 10.2967/jnumed.107.049452. [DOI] [PubMed] [Google Scholar]
  • 11.Minamimoto R, Jamali M, Barkhodari A, Mosci C, Mittra E, Shen B, Chin F, Gambhir SS, Iagaru A. Biodistribution of the 18F-FPPRGD(2) PET radiopharmaceutical in cancer patients: an atlas of SUV measurements. Eur J Nucl Med Mol Imaging. 2015;42:1850–8. doi: 10.1007/s00259-015-3096-4. [DOI] [PubMed] [Google Scholar]
  • 12.Wan W, Guo N, Pan D, Yu C, Weng Y, Luo S, Ding H, Xu Y, Wang L, Lang L, Xie Q, Yang M, Chen X. First experience of 18F-alfatide in lung cancer patients using a new lyophilized kit for rapid radiofluorination. J Nucl Med. 2013;54:691–8. doi: 10.2967/jnumed.112.113563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Doss M, Kolb HC, Zhang JJ, Belanger MJ, Stubbs JB, Stabin MG, Hostetler ED, Alpaugh RK, von Mehren M, Walsh JC, Haka M, Mocharla VP, Yu JQ. Biodistribution and radiation dosimetry of the integrin marker 18F-RGD-K5 determined from whole-body PET/CT in monkeys and humans. J Nucl Med. 2012;53:787–95. doi: 10.2967/jnumed.111.088955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zheng K, Liang N, Zhang J, Lang L, Zhang W, Li S, Zhao J, Niu G, Li F, Zhu Z, Chen X. 68Ga-NOTA-PRGD2 PET/CT for integrin imaging in patients with lung vancer. J Nucl Med. 2015;56:1823–7. doi: 10.2967/jnumed.115.160648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Haubner R, Finkenstedt A, Stegmayr A, Rangger C, Decristoforo C, Zoller H, Virgolini IJ. [(68)Ga]NODAGA-RGD - Metabolic stability, biodistribution, and dosimetry data from patients with hepatocellular carcinoma and liver cirrhosis. Eur J Nucl Med Mol Imaging. 2016;43:2005–13. doi: 10.1007/s00259-016-3396-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Knetsch PA, Petrik M, Griessinger CM, Rangger C, Fani M, Kesenheimer C, von Guggenberg E, Pichler BJ, Virgolini I, Decristoforo C, Haubner R. [68Ga]NODAGA-RGD for imaging alphavbeta3 integrin expression. Eur J Nucl Med Mol Imaging. 2011;38:1303–12. doi: 10.1007/s00259-011-1778-0. [DOI] [PubMed] [Google Scholar]
  • 17.Morrison MS, Ricketts SA, Barnett J, Cuthbertson A, Tessier J, Wedge SR. Use of a novel Arg-Gly-Asp radioligand, 18F-AH111585, to determine changes in tumor vascularity after antitumor therapy. J Nucl Med. 2009;50:116–22. doi: 10.2967/jnumed.108.056077. [DOI] [PubMed] [Google Scholar]
  • 18.Liu Z, Yan Y, Liu S, Wang F, Chen X. (18)F, (64)Cu, and (68)Ga labeled RGD-bombesin heterodimeric peptides for PET imaging of breast cancer. Bioconjug Chem. 2009;20:1016–25. doi: 10.1021/bc9000245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bozon-Petitprin A, Bacot S, Gauchez AS, Ahmadi M, Bourre JC, Marti-Batlle D, Perret P, Broisat A, Riou LM, Claron M, Boturyn D, Fagret D, Ghezzi C, et al. Targeted radionuclide therapy with RAFT-RGD radiolabelled with 90Y or 177Lu in a mouse model of alphavbeta3-expressing tumours. Eur J Nucl Med Mol Imaging. 2015;42:252–63. doi: 10.1007/s00259-014-2891-7. [DOI] [PubMed] [Google Scholar]
  • 20.Battle MR, Goggi JL, Allen L, Barnett J, Morrison MS. Monitoring tumor response to antiangiogenic sunitinib therapy with 18F-fluciclatide, an 18F-labeled alphaVbeta3-integrin and alphaV beta5-integrin imaging agent. J Nucl Med. 2011;52:424–30. doi: 10.2967/jnumed.110.077479. [DOI] [PubMed] [Google Scholar]
  • 21.Guo N, Zhang F, Zhang X, Guo J, Lang L, Kiesewetter DO, Niu G, Li Q, Chen X. Quantitative Evaluation of tumor early response to a vascular-disrupting agent with dynamic PET. Mol Imaging Biol. 2015;17:865–73. doi: 10.1007/s11307-015-0854-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Cui Y, Liu H, Liang S, Zhang C, Cheng W, Hai W, Yin B, Wang D. The feasibility of 18F-AlF-NOTA-PRGD2 PET/CT for monitoring early response of Endostar antiangiogenic therapy in human nasopharyngeal carcinoma xenograft model compared with 18F-FDG. Oncotarget. 2016;7:27243–54. doi: 10.18632/oncotarget.8402. https://doi.org/10.18632/oncotarget.8402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zheng Y, Ji S, Czerwinski A, Valenzuela F, Pennington M, Liu S. FITC-conjugated cyclic RGD peptides as fluorescent probes for staining integrin alphavbeta3/alphavbeta5 in tumor tissues. Bioconjug Chem. 2014;25:1925–41. doi: 10.1021/bc500452y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Haubner R, Wester HJ, Weber WA, Mang C, Ziegler SI, Goodman SL, Senekowitsch-Schmidtke R, Kessler H, Schwaiger M. Noninvasive imaging of alpha(v)beta3 integrin expression using 18F-labeled RGD-containing glycopeptide and positron emission tomography. Cancer Res. 2001;61:1781–5. [PubMed] [Google Scholar]
  • 25.Cai H, Conti PS. RGD-based PET tracers for imaging receptor integrin alphav beta3 expression. J Labelled Comp Radiopharm. 2013;56:264–79. doi: 10.1002/jlcr.2999. [DOI] [PubMed] [Google Scholar]
  • 26.Dietlein M, Kobe C, Kuhnert G, Stockter S, Fischer T, Schomacker K, Schmidt M, Dietlein F, Zlatopolskiy BD, Krapf P, Richarz R, Neubauer S, Drzezga A, et al. Comparison of [18F]DCFPyL and [68Ga]Ga-PSMA-HBED-CC for PSMA-PET imaging in patients with relapsed prostate cancer. Mol Imaging Biol. 2015;17:575–84. doi: 10.1007/s11307-015-0866-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lang L, Li W, Guo N, Ma Y, Zhu L, Kiesewetter DO, Shen B, Niu G, Chen X. Comparison study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET imaging of U87MG tumors in mice. Bioconjug Chem. 2011;22:2415–22. doi: 10.1021/bc200197h. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Seguin J, Nicolazzi C, Mignet N, Scherman D, Chabot GG. Vascular density and endothelial cell expression of integrin alpha v beta 3 and E-selectin in murine tumours. Tumour Biol. 2012;33:1709–17. doi: 10.1007/s13277-012-0428-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Goggi JL, Bejot R, Moonshi SS, Bhakoo KK. Stratification of 18F-labeled PET imaging agents for the assessment of antiangiogenic therapy responses in tumors. J Nucl Med. 2013;54:1630–6. doi: 10.2967/jnumed.112.115824. [DOI] [PubMed] [Google Scholar]
  • 30.Cortes-Santiago N, Hossain MB, Gabrusiewicz K, Fan X, Gumin J, Marini FC, Alonso MM, Lang F, Yung WK, Fueyo J, Gomez-Manzano C. Soluble Tie2 overrides the heightened invasion induced by anti-angiogenesis therapies in gliomas. Oncotarget. 2016;7:16146–57. doi: 10.18632/oncotarget.7550. https://doi.org/10.18632/oncotarget.7550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Keunen O, Johansson M, Oudin A, Sanzey M, Rahim SA, Fack F, Thorsen F, Taxt T, Bartos M, Jirik R, Miletic H, Wang J, Stieber D, et al. Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma. Proc Natl Acad Sci U S A. 2011;108:3749–54. doi: 10.1073/pnas.1014480108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Paez-Ribes M, Allen E, Hudock J, Takeda T, Okuyama H, Vinals F, Inoue M, Bergers G, Hanahan D, Casanovas O. Antiangiogenic therapy elicits malignant progression of tumors to increased local invasion and distant metastasis. Cancer Cell. 2009;15:220–31. doi: 10.1016/j.ccr.2009.01.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Rylova SN, Barnucz E, Fani M, Braun F, Werner M, Lassmann S, Maecke HR, Weber WA. Does imaging alphavbeta3 integrin expression with PET detect changes in angiogenesis during bevacizumab therapy. J Nucl Med. 2014;55:1878–84. doi: 10.2967/jnumed.114.137570. [DOI] [PubMed] [Google Scholar]

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