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. 2020 Dec 1;10:20918. doi: 10.1038/s41598-020-77788-3

18F-meta-fluorobenzylguanidine (18F-mFBG) to monitor changes in norepinephrine transporter expression in response to therapeutic intervention in neuroblastoma models

Stephen Turnock 1, David R Turton 2, Carlos Daniel Martins 1, Louis Chesler 3, Thomas C Wilson 4, Véronique Gouverneur 4, Graham Smith 2, Gabriela Kramer-Marek 1,
PMCID: PMC7708446  PMID: 33262374

Abstract

Targeted radiotherapy with 131I-mIBG, a substrate of the human norepinephrine transporter (NET-1), shows promising responses in heavily pre-treated neuroblastoma (NB) patients. Combinatorial approaches that enhance 131I-mIBG tumour uptake are of substantial clinical interest but biomarkers of response are needed. Here, we investigate the potential of 18F-mFBG, a positron emission tomography (PET) analogue of the 123I-mIBG radiotracer, to quantify NET-1 expression levels in mouse models of NB following treatment with AZD2014, a dual mTOR inhibitor. The response to AZD2014 treatment was evaluated in MYCN amplified NB cell lines (Kelly and SK-N-BE(2)C) by Western blot (WB) and immunohistochemistry. PET quantification of 18F-mFBG uptake post-treatment in vivo was performed, and data correlated with NET-1 protein levels measured ex vivo. Following 72 h AZD2014 treatment, in vitro WB analysis indicated decreased mTOR signalling and enhanced NET-1 expression in both cell lines, and 18F-mFBG revealed a concentration-dependent increase in NET-1 function. AZD2014 treatment failed however to inhibit mTOR signalling in vivo and did not significantly modulate intratumoural NET-1 activity. Image analysis of 18F-mFBG PET data showed correlation to tumour NET-1 protein expression, while further studies are needed to elucidate whether NET-1 upregulation induced by blocking mTOR might be a useful adjunct to 131I-mIBG therapy.

Subject terms: Cancer, Biomarkers, Medical research, Oncology

Introduction

Neuroblastoma (NB) is an early childhood cancer derived from abnormal differentiation of sympathoadrenal neural crest. It is the most common extracranial cancer of young children, with approximately 80–100 new cases in the UK per year1,2. At diagnosis, approximately 50% of NBs are classified as high risk (HR-NB) with widespread metastases and most commonly associated with amplification or overexpression of the MYCN oncogene3,4. These patients undergo intense multimodal therapy; and yet event-free survival (EFS) and overall survival (OS) remain below 50%5,6.

MYCN amplification in NB is associated with disseminated disease and poor prognosis. Currently there are no MYCN targeting agents in routine clinical use, although the NB differentiating agent 13-cis-retinoic acid (isotretinoin; 13-cisRA) has shown MYCN disruption in vitro3,7. However, other treatments that target MYCN transcription, or synthetic lethal interactions with and stabilisation of MYCN protein are being investigated in clinical trials8,9. The PI3K/Akt/mTOR axis is of particular interest due to its central role in NB cell growth, proliferation and survival, and in MYCN potentiation1013; and PI3K/mTOR/Akt inhibitors have shown efficacy in MYCN degradation in several NB animal models9,14,15. However, clinical trials in children have been limited, potentially owing to dose limiting toxicities and mixed responses in adults1618.

As they are derived from sympathoadrenal precursors, neuroblasts in NB are characterised by expression of surface noradrenaline transporters (NET-1)19. The noradrenaline analogue, meta-iodobenzylguanidine, radiolabelled with either iodine-123 (123I-mIBG) or iodine-131 (131I-mIBG), has been widely used as a theranostic pair for detection of NB and treatment of refractory/recurrent NB, owing to its specific targeting of NET-120,21. Although 90% of NB tumours are mIBG avid, clinical response to 131I-mIBG targeted radiotherapy is variable (from 0 to 57%)2224. It has been shown that higher doses of 131I-mIBG produce more favourable outcomes in NB patients but at the same time, may cause severe haematological toxicities that limit this approach22,23.

Therapies that target NET-1 and increase 131I-mIBG uptake into the tumour cells are under investigation. For example, non-carrier-aided (NCA) 131I-mIBG increases the radioactive concentration of mIBG entering the target cell24,25. Furthermore, anticancer drugs (e.g. vincristine, irinotecan, or vorinostat), in combination with 131I-mIBG, may sensitise cells to DNA damage26,27 and increase 131I-mIBG uptake through enhanced NET-1 expression and function. The mechanisms by which NET-1 expression is regulated in NB are still unclear. However, it has been hypothesised that an increased NET-1 level following vorinostat-targeted actions on HDAC may proceed through disruption of HDAC interactions with protein phosphatase 1, causing subsequent dephosphorylation of Akt at serine 473 (S473)28. Furthermore, it has been reported that targeted inhibition of the Akt protein29 and deletion of mTORC2 may lead to a marked increase in the NET-1 expression30.

Although 123I-mIBG is suitable to specifically visualise NET-1 positive lesions, SPECT imaging has lower detection sensitivity than positron emission tomography (PET). Indeed, the PET analogues of mIBG, namely 18F-mFBG and 124I-mIBG, have shown greater lesion detection compared with 123I-mIBG3133. Additionally, PET allows for more accurate radiotracer quantification within the delineated tissue structures. Iodine-124 is a good surrogate for iodine-131 dosimetry owing to their chemical and half-life similarities (4.2 d and 8.02 d for iodine-124 and iodine-131, respectively)34. However, iodine-124 has a rather complex decay scheme with a positron branching ratio of only 23% and a high incidence of prompt gammas that interfere with image quantification35,36. In contrast, fluorine-18 has a short half-life of 109.7 min and the positron branching ratio of 96.9%, which allows for post-imaging assessment to be undertaken within hours rather than days, thereby improving patient well-being31. Taken together, these factors highlight the need for development of F-18-based imaging biomarkers to monitor therapeutic response in NB.

Until recently, the use of 18F-mFBG has been limited mostly because of its multi-step synthesis, which initially had to be performed manually37. In 2014, Zhang et al. reported an updated radiosynthesis of this agent that required 3 steps and 3 h to end of synthesis. The pure product was achieved with a decay-corrected radiochemical yield (RCY) of roughly 11% and a molar activity of about 18 GBq/µmol38. Since then, simplified radiosynthetic approaches have been developed and applied to the production of this radiotracer for clinical use3942.

Herein, we report a 2-step automated synthesis of 18F-mFBG. The radiotracer was used to measure NET-1 expression changes in response to therapeutic intervention in NB cells and xenograft models. In particular, we explored whether targeted inhibition of the mTOR/Akt axis could enhance NET-1 expression through downregulation of p-AktS473 using the dual mTOR complex 1 and 2 (mTORC1/2) inhibitor AZD2014 in MYCN amplified NB models in vitro and in vivo. Finally, we sought to assess modulation of NET-1 using 18F-mFBG image analysis.

Results

Internalisation of 18F-mFBG and 123I-mIBG

To assess the NET-1-mediated uptake of 18F-mFBG (Fig. 1a), levels of NET-1 protein expression were confirmed in a representative panel of NB cell lines, varying in MYCN expression. From WB analysis, the Kelly cell line (MYCN-amplified) had an undetectable expression of NET-1 protein, whereas SK-N-SH and NBLS (MYCN diploid) and the SK-N-BE(2)C cell line (MYCN amplified, TP53 mutant) were characterised by intermediate and high levels of NET-1 protein, respectively (Fig. 1b). When incubated with either 123I-mIBG or 18F-mFBG, the cell-associated radioactivity reflected NET-1 protein levels with SK-N-BE(2)C cells showing the greatest uptake and Kelly showing the least uptake (Fig. 1c). In contrast, uptake in cells with intermediate NET-1 expression did not reflect the total protein level measured by WB, perhaps due to the lower number of transporters available on the membrane for radiotracer binding. Importantly, the uptake of 18F-mFBG paralleled that of 123I-mIBG and the uptake of each product was inhibited by desipramine (DMI), a NET-1 inhibitor, confirming the requirement for NET-1 activity in cellular tracer uptake (Fig. 1c).

Figure 1.

Figure 1

(a) Simplified radiosynthesis scheme of 18F-mFBG by copper-mediated deborylation. (b) Total NET-1 protein expression in selected NB cell lines determined by Western blot. Full length blots are presented in Supplementary Figure WB1. (c) 18F-mFBG (top bar chart) and 123I-mIBG (bottom bar chart) radiotracer uptake in NB cell lines for 1 h at 37 °C, inhibited with and without 50 µM desipramine (DMI; 15 min pre-incubation). Data are presented as mean ± SEM, n ≥ 2 per group, performed in triplicate. Graphs are generated using GraphPad Prism (v 8.4.1), https://www.graphpad.com.

In vivo radiotracer distribution

Following characterisation in vitro, 18F-mFBG distribution was assessed in vivo using Kelly (NET-1 low) and SK-N-BE(2)C (NET-1 high) xenografts. 18F-mFBG biodistribution studies showed that radiotracer uptake was particularly high in sympathetically innervated tissues including the heart (> 12.0%ID/g), brown adipose tissue (BAT) (> 7.0%ID/g) and the small intestine (~ 8.0%ID/g) 1 h p.i. (Fig. 2 and Supplementary Table 1). However, significant clearance of radioactivity from these organs was observed at 4 h p.i. in both xenograft models (Fig. 2) (p < 0.01, n ≥ 3 per group). In accordance with the higher expression of NET-1, SK-N-BE(2)C xenografts exhibited significantly higher tumour uptake than Kelly xenografts at 4 h p.i. (2.96 ± 1.38%ID/g (n = 5) vs. 0.30 ± 0.14%ID/g (n = 3); p = 0.03). Tumour-to-blood and tumour-to-muscle ratios of 17.69 ± 10.00 and 6.24 ± 3.64, respectively, were observed 4 h p.i. in SK-N-BE(2)C xenografts (Supplementary Table 1). When 123I-mIBG was investigated in vivo, biodistribution studies (24 h p.i.) revealed similar radiotracer pharmacokinetics, with greatest accumulation of radioactivity in tumour tissue and sympathetically innervated heart, small intestine and BAT at this time point (Supplementary Table 1 and Supplementary Fig. 3). Tumour-to-background ratios were greater for 123I-mIBG than 18F-mFBG most probably as a consequence of the biodistribution studies being performed at a later time point and likely clearing of the radioactive agent from non-target organs (Supplementary Table 1).

Figure 2.

Figure 2

Biodistribution of 18F-mFBG 1 and 4 h after injection of mice bearing SK-N-BE(2)C or Kelly xenografts. Data are presented as mean ± SD, n ≥ 3 per group. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; 2-way ANOVA with Tukey post-hoc test. S. Intestine = Small intestine, BAT = Brown adipose tissue. Graph is generated using GraphPad Prism (v 8.4.1), https://www.graphpad.com.

PET/CT scans performed 1 and 4 h p.i. of 18F-mFBG clearly delineated tumour masses in SK-N-BE(2)C tumour bearing mice (Fig. 3a). After quantitative analysis of PET images, SK-N-BE(2)C tumours showed higher (p < 0.001) tumour uptake (2.46 ± 0.71%ID/g (n = 21) and 3.88 ± 1.15%ID/g (n = 15) at 1 and 4 h p.i., respectively) than in Kelly xenografts (1.10 ± 0.34 (n = 9) and 0.65 ± 0.29%ID/g (n = 5) at 1 and 4 h p.i., respectively), (Fig. 3b). Quantitative PET analysis of tumour uptake correlated to ex vivo measurements of radiotracer accumulation using gamma counter (linear regression (r2 = 0.72), (Supplementary Fig. 4a). Additionally, both WB and IHC confirmed low expression of NET-1 in Kelly xenografts and high NET-1 expression in the SK-N-BE(2)C tumours (Fig. 3c,d). This paralleled target expression levels defined in vitro. Autoradiography images of SK-N-BE(2)C tumour slices showed a high and uniform distribution of 18F-mFBG. Conversely, the radiotracer signal in the Kelly tumour sections was low confirming the association between tumour 18F-mFBG uptake and NET-1 protein expression (Fig. 3c,d).

Figure 3.

Figure 3

PET analysis of 18F-mFBG distribution and NET-1 expression profile. (a) Representative coronal slice of Kelly (left) and SK-N-BE(2)C (right) xenograft PET images with corresponding maximum intensity projection CT overlay, 4 h p.i. of 18F-mFBG. Dotted circles represent tumour region. (b) PET quantification of Kelly and SK-N-BE(2)C xenografts 1 and 4 h p.i. of 18F-mFBG. Data are presented as mean ± SD, n ≥ 5 per group, each dot represents one tumour. ***p < 0.001, ****p < 0.0001; Student’s t-test. Ex vivo analysis of Kelly (c) and SK-N-BE(2)C (d) xenografts (i) Western blot (n = 2) (Full-length blots are presented in Supplementary Figure WB2) (ii) immunohistochemistry of NET-1 protein (× 40) and (iii) autoradiography exposition of tumour section, 2 h on to X-ray film. Graph is generated using GraphPad Prism (v 8.4.1), https://www.graphpad.com.

In vitro mTOR inhibition and modulation of radiotracer uptake

To assess the cellular response to mTORC1/2 inhibition, Kelly and SK-N-BE(2)C cell lines, both of which over-express MYCN protein (Fig. 1b), were incubated with AZD2014 (0 to 1 µM) for 72 h. The GI50 for AZD2014 (concentration that reduced cell viability by 50%) was 476 nM in Kelly and 307 nM in SK-N-BE(2)C cells (Supplementary Fig. 5). Key substrates of AZD2014- induced mTORC1/2 inhibition were assessed by WB. The immunoblots showed a concentration dependent decrease in phosphorylation of both ribosomal S6 protein (S6) and eukaryotic translation initiation factor 4E-binding protein 1 (4EBP1) in Kelly and SK-N-BE(2)C cells (Fig. 4a, Supplementary Fig. 6 and 7), key indicators of mTORC1 inhibition. MYCN protein expression was not robustly reduced (Fig. 4a, Supplementary Fig. 6 and 7). In both cell lines, a concentration-dependent downregulation of p-AktS473 was evident at early time points (3–12 h) (Supplementary Fig. 6 and 7), but inhibition was not sustained after 72 h incubation with the compound (Fig. 4a).

Figure 4.

Figure 4

(a) Western blot analysis of key protein expression in Kelly and SK-N-BE(2)C cells after incubation with 0–500 nM AZD2014 for 72 h. Blue boxes indicate a second membrane for better protein signal acquisition. Full-length blots are presented in Supplementary Figure WB5 and WB6. (b) 18F-mFBG uptake in Kelly and SK-N-BE(2)C cells pre-treated with AZD2014 for 72 h 0–500 nM, and the same conditions for (c) 123I-mIBG uptake. Data presented as mean ± SEM, n ≥ 2, performed in triplicate. Inhibition of radiotracer uptake n = 1, performed in triplicate. *p < 0.05, ***p < 0.001, ****p < 0.0001; 2-way ANOVA with Tukey post-hoc test. DMI = desipramine. Graphs are generated using GraphPad Prism (v 8.4.1), https://www.graphpad.com.

Given the potential role of Akt in NET-1 protein synthesis and surface expression43, we further looked at NET-1 protein levels following AZD2014 treatment. In SK-N-BE(2)C cells, a prominent and persistent increase in total NET-1 protein expression was seen at 24 h post-incubation (Supplementary Fig. 6) and was maintained at 72 h (Fig. 4a). In Kelly cells, the WB analysis was not sensitive enough to detect and accurately quantify the inherently low expression of the target protein.

To investigate potential changes in NET-1 function following an AZD2014-induced increase in protein expression, 18F-mFBG and 123I-mIBG cell uptake assays were performed in Kelly and SK-N-BE(2)C cells incubated with the drug (0–500 nM) for 24 and 72 h. A concentration-dependent increase of 123I-mIBG and 18F-mFBG uptake was observed in both cell lines in the 24 h treatment-time point (Supplementary Fig. 8b), but this was more evident at 72 h as compared to untreated control cells (Fig. 4b,c). Following pre-treatment with 200 nM and 500 nM AZD2014, uptake of 18F-mFBG in Kelly cells significantly increased by 128 ± 23% and 292 ± 27%, respectively (p < 0.0001, n = 2 performed in triplicate). Perhaps due to the already high expression of NET-1, increase in radiotracer uptake was less evident in SK-N-BE(2)C cells (39 ± 9% and 62 ± 5%, respectively). A similar trend was seen in 123I-mIBG incubated cells pre-treated with AZD2014 (Fig. 4c). Desipramine (500 nM) reduced the radioactivity signal in AZD2014 pre-treated cells confirming that uptake of both radiotracers was NET-1 transporter-specific (Fig. 4b,c Supplementary Fig. 8a).

18F-mFBG to monitor changes in NET-1 expression in vivo

In light of the effects of AZD2014 treatment on NET-1 expression observed in vitro, we investigated whether 18F-mFBG could capture changes in tumour NET-1 expression following AZD2014 (25 mg/kg/day) treatment in Kelly xenografts (low NET-1). After 3 days post-treatment initiation mild toxicities were observed (i.e. mice treated with the compound lost ~ 10% of body weight compared to the vehicle control) (Supplementary Fig. 9a). Moreover, tumour growth was impeded in AZD2014-treated xenografts (Supplementary Fig. 9c) (n = 3, p < 0.0001). Biodistribution studies performed 4 h post-radiotracer injection demonstrated no change in radiotracer uptake in organs such as the heart or small intestine, which are known to be innervated by NET-1-positive sympathetic ganglia44. Further, we observed an increase in 18F-mFBG uptake in drug treated tumours (0.74 ± 0.25%ID/g) as compared to controls (0.39 ± 0.13), but this difference was not significant (p = 0.85, n = 3). The tumour-to-blood and tumour-to-muscle ratios were 1.75 ± 0.29 and 0.53 ± 0.01 in the vehicle group, as compared with 4.16 ± 1.89 and 1.23 ± 0.61 in the AZD2104 treated mice, respectively (Table 1).

Table 1.

Biodistribution of 18F-mFBG 4 h after injection of mice bearing Kelly xenografts, pre-treated with AZD2014 (25 mg/kg/day) or vehicle control (DMSO 10%, PEG400 90%) for 3 days.

Kelly 18F-mFBG biodistribution 4 h p.i. (mean %ID/g ± SD)
Vehicle AZD2014 (25 mg/kg/day)
N =  3 3
Blood 0.22 ± 0.05 0.19 ± 0.03
Heart 6.34 ± 1.41 4.22 ± 0.85
Lungs 1.52 ± 0.22 1.31 ± 0.39
Kidney 1.11 ± 0.47 0.97 ± 0.17
Spleen 3.77 ± 0.82 4.58 ± 0.77
Liver 2.37 ± 0.71 2.08 ± 0.45
Pancreas 1.26 ± 0.28 1.25 ± 0.21
Tumour 0.39 ± 0.13 0.74 ± 0.25
Bone 1.43 ± 0.83 0.99 ± 0.07
Small intestine 6.57 ± 1.12 7.30 ± 1.11
Muscle 0.74 ± 0.23 0.64 ± 0.17
Brown adipose 5.84 ± 2.44 7.20 ± 0.88
Tumour:blood 1.75 ± 0.29 4.16 ± 1.89
Tumour:muscle 0.53 ± 0.01 1.23 ± 0.61

Data are presented as mean ± SD, n = 3 per group.

Following these observations, we evaluated a lower dose (20 mg/kg/day) of AZD2014 (or vehicle control) for 1, 3 or 7 days in SK-N-BE(2)C tumour bearing mice to ascertain longitudinal tumour NET-1 status. No toxicity was observed during the treatment period. No change in non-target organ distribution was observed at any time-point (Table 2). A prominent difference in tumour radiotracer accumulation was observed on day 3 in the treatment group (3.95 ± 1.53%ID/g) as compared to the vehicle controls (2.39 ± 0.01%ID/g) resulting in a greater tumour-to-blood and tumour-to-muscle ratio (Table 2), however this was statistically insignificant (p = 0.81 and p > 0.99, respectively, n = 3). These results were concordant with image-derived tumour radiotracer uptake studies (Fig. 5a, Supplementary Fig. 4b). We observed a decrease in radioactivity in treated tumours on day 7 post-treatment (2.61 ± 1.19%ID/g) that was statistically indistinguishable from controls (2.17 ± 1.01%ID/g) (p > 0.99, n = 3). These statistically insignificant changes in radiotracer uptake between vehicle and AZD2014-treated xenografts were corroborated by ex vivo analysis of tumour samples. Western blot data showed an increase in NET-1 expression in SK-N-BE(2)C tumour lysates (Fig. 5b), but this difference was not significant (p = 0.07, n = 4) (Supplementary Fig. 10). Moreover, there were no apparent differences in phosphorylated Akt between control and treated tumours of both tumour types. Furthermore, staining of phosphorylated S6 or 4EBP1 was identical in SK-N-BE(2)C tumours treated with AZD2014 and vehicle (Fig. 5c). In Kelly xenografts, there was no difference between NET-1 expression levels in Kelly tumour lysates between control and treated animals (Fig. 5d) (p = 0.84, n = 2). Further, IHC showed no changes in p-S6S240/244 or p-4EBP1T37/46 in Kelly xenografts (Fig. 5e) indicating that the dose of AZD2014 in this regimen failed to inhibit mTORC1/2. Quantitative PET analysis did demonstrate good correlation with tumour NET-1 status in the vehicle treated tumours (r2 = 0.98), but in the AZD2014 treated animals, the slope of the line of best fit was perturbed (r2 = 0.53) (Fig. 5f).

Table 2.

Biodistribution of 18F-mFBG 4 h after injection of mice bearing SK-N-BE(2)C xenografts, pre-treated with AZD2014 (20 mg/kg/day) or vehicle control (DMSO 10%, PEG400 90%) for 1, 3 or 7 days.

SK-N-BE(2)C 18F-mFBG biodistribution 4 h p.i. (%ID/g)
1 day vehicle 1 day AZD2014 (20 mg/kg/day) 3 day vehicle 3 Day AZD2014 (20 mg/kg/day) 7 day vehicle 7 day AZD2014 (20 mg/kg/day)
N =  3 3 3 3 3 3
Blood 0.18 ± 0.02 0.18 ± 0.04 0.18 ± 0.08 0.16 ± 0.02 0.17 ± 0.06 0.32 ± 0.14
Heart 4.38 ± 1.68 4.34 ± 2.38 3.64 ± 0.89 3.20 ± 0.43a 5.87 ± 2.80 4.17 ± 1.63
Lungs 1.22 ± 0.37 1.27 ± 0.68 1.15 ± 0.23 1.04 ± 0.12 1.86 ± 0.64 1.33 ± 0.36
Kidney 0.79 ± 0.36 0.98 ± 0.04 1.13 ± 0.47 0.89 ± 0.13 1.09 ± 0.16 1.02 ± 0.15
Spleen 3.19 ± 0.63 2.93 ± 0.82 2.08 ± 1.29 2.27 ± 1.06 1.75 ± 0.67 1.64 ± 0.46
Liver 1.94 ± 0.30 1.63 ± 0.69 1.96 ± 0.02 1.74 ± 0.23 2.15 ± 0.30 2.64 ± 0.46
Pancreas 1.01 ± 0.18 1.09 ± 0.42 1.25 ± 0.51 1.29 ± 0.51 2.81 ± 1.72 3.08 ± 1.80
Tumour 2.76 ± 1.14 3.29 ± 1.01 2.39 ± 0.10 3.95 ± 1.53 2.17 ± 1.01 2.61 ± 1.19
Small intestine 4.50 ± 0.24b 4.79 ± 1.21 5.32 ± 0.11 4.88 ± 1.28 6.22 ± 0.35 6.87 ± 1.86
Muscle 0.60 ± 0.13 0.59 ± 0.16 0.53 ± 0.19 0.55 ± 0.09 0.67 ± 0.07 0.75 ± 0.02
Brown adipose 5.14 ± 0.38b 5.47 ± 0.45b 5.15 ± 0.78b 5.32 ± 1.51b  6.08 ± 2.45 8.08 ± 0.72
Bone 4.98 ± 2.18c 4.55 ± 2.15c 1.64 ± 0.45 2.42 ± 2.57 1.13 ± 0.20 0.63 ± 0.54
Tumour:blood 15.27 ± 5.32 17.72 ± 2.35 14.47 ± 4.61 23.76 ± 6.20 15.55 ± 13.55 8.06 ± 2.57
Tumour:muscle 4.44 ± 0.94 5.74 ± 1.77 4.89 ± 1.48 7.06 ± 1.79 3.36 ± 1.90 3.50 ± 1.62

Data are presented as mean ± SD, n = 3 per group.

a = p < 0.05 compared to 7-day vehicle group of the same tissue.

b = p < 0.05 compared to 7-day AZD2014 group of the same tissue.

c = p < 0.05 compared to 3-day and 7-day groups of the same tissue.

Figure 5.

Figure 5

In vivo assessment of AZD2014 and 18F-mFBG uptake. (a) PET/CT of SK-N-BE(2)C xenografts. PET image and corresponding maximum intensity projection CT overlay, 4 h p.i. of 18F-mFBG in vehicle (left) and AZD2014 (20 mg/kg/day)(right) treated mice, 3 days. Tumours highlighted with dotted white circle. (b) Western blot (n = 4) and (c) IHC analysis of SK-N-BE(2)C tumour lysates of animals treated for 3 days with vehicle (V3) or AZD2014 20 mg/kg/day (T3). (d) Western blot (n = 2) and (e) IHC analysis of Kelly tumour lysates treated for 3 days with vehicle (V3) or AZD2014 25 mg/kg/day (T3). (f) Linear regression fit of NET-1 band density vs PET mean quantification in vehicle (r2 = 0.98) and AZD2014 (r2 = 0.53) treated tumours (n = 5–6 per group). For Western blots, full-length blots are presented in Supplementary Figures WB3 and WB4. Graph is generated using GraphPad Prism (v 8.4.1), https://www.graphpad.com.

Discussion

Therapies for patients with HR-NB which aim to block the activity of the MYCN through inhibition of the mTOR/Akt axis are of clinical interest8,45,46. This pathway is aberrantly expressed in many cancers including NB12,13,47, however, mTOR/Akt inhibitors have yet to provide robust tumour control48,49. Interestingly, Dubois et al. reported that patients with MYCN amplification have comparatively lower NET-1 protein levels than those who are MYCN non-amplified50, suggesting that MYCN amplification impedes mature neural cell features such as NET-1 expression51. Therefore, a combined strategy by which MYCN is inhibited and NET-1 levels could be primed may be of particular benefit.

The radioconjugates 123I- and 131I-mIBG are widely used for the imaging and therapy of NB patients owing to the selective presence of NET-1, and a 123I-mIBG baseline scan is a necessary prerequisite of 131I-mIBG therapy. 123I-mIBG is also used to monitor disease progression, and increased accumulation of the radiotracer is associated with an unfavourable outcome52. Furthermore, an early response to chemotherapy captured on mIBG imaging correlates with good prognosis, improved EFS and OS in advanced and HR-NB53. However, 123I-mIBG imaging is a descriptive technique, making clinical interpretation and accurate quantitation of a the dose:response relationship challenging. Semi-quantitative scoring systems have been developed (e.g. CURIE or SIOPEN visual scoring system) to provide an objective and uniform way for evaluation of disease burden and efficacy of therapies5456. The availability of quantitative PET imaging agents to measure NET-1 activity would improve detection and quantitation of the disease.

Promising data in 5 NB patients indicates that a fluorinated guanidine analogue, 18F-mFBG, has similar biodistribution to that of 123I-mIBG, faster clearance, higher imaging resolution, and improved assessment of lesion radiotracer uptake31. Of note, a new European clinical trial is presently investigating 18F-mFBG imaging in NET-1 expressing tumours [NCT02348749]. However, these trials have yet to introduce quantifiable measures of 18F-mFBG uptake in specific tumour lesions. The studies presented herein strengthen the case that 18F-mFBG imaging could be a useful modality for non-invasive assessment of NET-1 status in NB during therapeutic intervention. We have implemented simplified radio-synthetic approaches that have been developed to produce 18F-mFBG via fluorination of electron-rich aromatics using copper-mediated fluorodeboronation42.

Traditional radiochemical strategies have focused on electron-poor aromatics to carry out nucleophilic aromatic substitution reactions (e.g. Balz-Schieman reaction). However, new radiosynthetic strategies have become recently available. For example, Rotstein et al.reported the synthesis of 18F-mFBG via a spirocyclic iodonium(III) ylide (~ 14% RCY)39. The groups of Sanford and Gouverneur published approaches to the fluorination of electron-rich aromatics via copper-mediated destannylation or deborylation42,57. This has proved a versatile method to access highly functionalised electron-rich PET radiotracers including 18F-mFBG58. These highly promising results prompted us to explore the fully automated cassette-based radiosynthesis of 18F-mFBG to support an intensive programme of research at our institution.

As expected, and in line with previously reported studies38, uptake of both 18F-mFBG and 123I-mIBG correlated with the NET-1 expression levels in vitro and allowed for clear delineation of NET-1 expressing SK-N-BE(2)C xenografts after 4 h p.i..

Using two MYCN amplified cell lines (Kelly and SK-N-BE(2)C), we initially focused on assessing the ability of the mTORC1/2 inhibitor AZD2014 to target the mTOR/Akt axis in vitro and subsequently investigated whether mTORC1/2 inhibition will modulate NET-1 expression. In vitro, we observed the concentration-dependent inhibition of mTORC1 substrates p-4EBP1T37/46 and p-S6S240/244. In addition, consistent with previously described results, p-AktS473 was also depressed59,60, however this was only a transient effect in our experiments. Dual inhibition of both mTOR complexes is associated with MYCN protein degradation9, which was mild in Kelly and SK-N-BE(2)C cells treated with 500 nM AZD2014. Although higher drug concentrations may result in further MYCN depression, this would result in greater cell death and impede further analysis.

Importantly, WB analysis revealed a concomitant increase in NET-1 expression in SK-N-BE(2)C cells after AZD2014 treatment; an effect attributable to the drug inhibition of p-AktS47343. Of note, an enhanced NET-1 function was also highlighted in both Kelly and SK-N-BE(2)C by the increased cell uptake of 123I-mIBG and 18F-mFBG, in a concentration-dependent manner. The maximum change in NET-1 activity was observed in Kelly cells and was not clearly evident in SK-N-BE(2)C most likely due to high levels of inherent NET-1 expression.

Changes in NET-1 expression level post-mTOR inhibition have not been investigated yet by molecular imaging. Recently, T1-weighted MRI has been used to detect apoptotic responses 24 h following AZD2014 treatment in NB tumours61. Therefore, we assessed whether PET imaging could be used to monitor AZD2014-induced alterations in 18F-mFBG tumour uptake by upregulating NB NET-1 expression levels in vivo. Following our in vitro findings, Kelly xenografts were used in vivo as a model system. Inhibitor dose regimens were selected based on previous reports61,62. After 3 days treatment, tumour growth plateaued and 18F-mFBG biodistribution studies showed increased tumour-to-blood and tumour-to-muscle ratios in AZD2014-treated animals compared to the vehicle-treated controls, however PET signals were still too low for robust quantification and mild toxicities were noted. Therefore, a lower AZD2014 dose was investigated in the SK-N-BE(2)C model. There was a large variation in the treated SK-N-BE(2)C response according to PET and these results were corroborated by ex vivo analysis of tumour tissue. In both Kelly and SK-N-BE(2)C tumour lysates, WB results demonstrated only small differences in NET-1 protein levels and there was no robust inhibition of p-AktS473 in treated tumours. Similarly, IHC staining did not detect any reduction of p-S6S240/244 and p-4EBP1T37/46, which confirmed that the selected dose regimens did not fully inhibit the mTOR signalling.

Interestingly, a clear relationship between 18F-mFBG uptake and NET-1 expression was observed in the vehicle treated tumours. However, in the AZD2014 treated group, accumulation of the radiotracer within the tumour was inhibited. This could suggest that the mTORC1/2 inhibitor was affecting the delivery of the radiotracer, which could be due to anti-angiogenic effects of mTOR inhibition63. Further optimisation of this approach, including B.I.D. dosing of AZD2014 or using alternative mTORC1/2 inhibitors, is needed to address the potential benefits of mTORC1/2 inhibition and 131I-mIBG combinations.

Conclusion

In this work, we have shown that dual mTORC1/2 inhibitor (AZD2014) potentiates NET-1 expression in NB cells in vitro. Although the AZD2014 exhibited suboptimal activity in vivo and more studies are required to validate a more effective primary therapeutic strategy to inhibit tumour progression whilst sensitising cells to 131I-mIBG therapy, the ability of 18F-mFBG to quantify the NET-1 expression was highlighted. This work supports the potential of 18F-mFBG to use this tracer in future studies for image-guided therapeutic strategies leading to more robust and durable responses to 131I-mIBG radiotherapy.

Materials and methods

Cell lines

SK-N-SH, SK-N-BE(2)C, Kelly, NBLS human NB cell lines were confirmed of authenticity by short tandem repeat (STR) DNA profiling analysis (Eurofins Medigenomix, Ebersberg, Germany) and routinely found to be mycoplasma negative (PCR detection kit, Surrey Diagnostics Ltd, Cranleigh, UK). SK-N-SH and SK-N-BE(2)C cell lines were cultured in DMEM (Gibco, Life Technologies, Paisley, UK), and NBLS and Kelly in RPMI1640 (Gibco, Life Technologies, Paisley, UK), supplemented with 10% heat-inactivated foetal bovine serum (FBS, Gibco, Life Technologies, Paisley, UK) and grown as a monolayer at 37 °C in a humidified atmosphere containing 5% CO2.

Western blot

Western blotting (WB) was performed as previously described64. Antibodies were obtained from Cell Signalling Technologies (London, UK) unless stated otherwise: GAPDH, beta-actin, p-AktS473, Akt, p-4EBP1T37/46, p-S6S240/244, S6, N-MYC (Merck Millipore, Watford, UK), NET-1 (mAbTechnologies, Stone Mountain, Georgia), anti-rabbit HRP, anti-mouse HRP. Blots were visualised with SuperSignal West Pico and Femto Chemiluminescent Substrate (Thermo Fisher Scientific, Loughborough, UK) and ChemiDoc XRS + System (BioRad, Watford, UK). Data were processed and band density analysed with ImageJ and Image Lab 6.0 (BioRad, Watford, UK).

Preparation of radiotracers

123I-mIBG was purchased from GE Healthcare (AdreView Amersham, UK). 18F-mFBG was prepared using a Trasis All in One (AiO) synthesiser (Trasis SA, Liege, Belgium) housed in a shielded hot cell. A simplified synthesis is detailed in Fig. 1a. Detailed synthesis methodology is included in the Supplementary Material (Supplementary Figs. 1/2).

In vitro uptake of 123I-mIBG and 18F-mFBG

To evaluate the radioactive agent uptake specificity, approximately 3.0 × 105 adherent cells were incubated with either 18F-mFBG (150 kBq) or 123I-mIBG (5 kBq) for 1 h at 37 °C, in the presence or absence of the NET-1 specific inhibitor, desipramine (DMI, 50 µM, Sigma Aldrich, Gillingham, UK). Subsequently, the cells were washed with PBS, trypsinised and the radioactivity was measured using a γ-counter (2480 WIZARD2, PerkinElmer, Beaconsfield, UK). For each cell line the cell-associated radioactivity was normalised to the number of cells and then each group was presented as a percentage of the signal acquired for SK-N-BE(2)C cells (mean of n = 3 independent experiments performed in triplicate ± SEM).

To test the response of cell uptake using the mTOR1/2 inhibitor AZD2014 (0–500 nM) (vistusertib, Stratech Scientific, Ely, UK), a stock solution of the drug (10 mM) in dimethyl sulfoxide (DMSO, Sigma Aldrich, Gillingham, UK) was initially prepared and then diluted in culture medium to a final DMSO concentration of < 0.1%. Radiotracer uptake was assessed in cells 24 and 72 h after incubation with AZD2014. The uptake was normalised to cell viability as performed using the CellTiter-Glo assay (Promega, Southampton, UK). The data are expressed as the average of n = 3 independent experiments (performed in triplicate) ± SEM.

In vivo studies

All studies were conducted in compliance with licenses issued under the UK Animals (Scientific Procedures) Act 1986 and approved by the Institute of Cancer Research Animal Welfare and Ethical Review Body (AWERB) according to the United Kingdom National Cancer Research Institute Guidelines for Animal Welfare in Cancer Research (project license PCC916B22, Animals in Science Regulation Unit, Home Office Science, London, UK)65. Female Nu(NCr)-Foxn1nu mice (5–7 weeks; 20–22 g) obtained from an in-house breeding colony were used in the studies. Animals were housed in a temperature-controlled facility with 12 h on–12 h off light cycle and provided water and laboratory rodent food ad libitum. Subcutaneous xenografts were generated by injection of either Kelly (5 × 106/0.1 mL PBS/Matrigel 30% v/v; BD Matrigel Matrix, BD Bioscience, San Jose, California, US) or SK-N-BE(2)C (1 × 106/0.1 mL PBS/Matrigel) into the lower flank. For the treatment studies, AZD2014 stock solution in DMSO was diluted in PEG400 to a final concentration of 2 mg/mL (10% DMSO maximum). When tumours reached ~ 100 mm3 (calliper measurements using formula: Volume = (Width(2) × Length)/2), mice were treated daily, for a total of either 1, 3 or 7 days, by oral gavage with AZD2014 (20 or 25 mg/kg/day) or vehicle control. Mice were monitored daily for body weight or other adverse effects.

Biodistribution and imaging

When the tumours reached approximately 100–200 mm3, mice were anaesthetised with an isoflurane/O2 mixture (1.5–2.0% v/v) and intravenously injected with either 18F-mFBG (~ 7.5 MBq) or 123I-mIBG (~ 20 MBq). Mice were then imaged using an Albira PET/SPECT/CT scanner (Bruker, Coventry, UK). Whole body PET static images were acquired after 1 and 4 h post-injection (p.i.) for 10 min with an energy window of 358 to 664 keV followed by CT acquisition. Acquisition, reconstruction and image analysis were performed as described previously66. Following the final scan, the mice were sacrificed and the major organs were excised, weighed and their associated radioactivity was measured using a γ-counter. Biodistribution and image quantification were expressed as a percentage of injected dose per gram of tissue (%ID/g), whereby 1 cm3 on PET acquisitions were assumed to equal 1 g (n ≥ 3 mice ± SD).

Autoradiography

Dissected tumours were set in Tissue-Tek optimal-cutting-temperature compound (Sakura, Torrance, California, USA) and snap-frozen in liquid nitrogen. The tumours were then sectioned to a thickness of 10 µm using a cytomicrotome (Thermo Fisher Scientific, Loughborough, UK) and mounted on slides, that were exposed to X-ray film for 24 h and scanned using a Typhoon FLA 7000 phosphorimager (GE Healthcare Life Sciences, Amersham, UK).

Immunohistochemistry

Formalin-fixed (10% v/v) paraffin-embedded tumours were sectioned to a thickness of 5 µm. Tumour sections underwent heat-induced epitope retrieval with a citric acid based antigen unmasking solution (H3300, Vector Laboratories, Peterborough, UK). The primary NET-1 antibody (AMT-002, Alomone Labs, Jerusalem, Israel), p-S6S240/244 and p-4EBP1T37/46 were added and incubated overnight at 4 °C. Endogenous peroxidases were blocked (2% H2O2 in methanol, 10 min, RT) before incubation with a secondary HRP-conjugated antibody. For chromogen development, slides were processed using a diaminobenzidine (DAB)-peroxidase substrate kit (4 min, Immpact DAB, SK-4105, Vector Laboratories, Peterborough, UK). Samples were counterstained with Gills III haematoxylin and mounted with a coverslip. Digital images were captured on a Nanozoomer XR (Hamamatsu Photonics, Hamamatsu, Japan).

Statistics

Data were presented as mean ± SD, unless otherwise stated. Statistical analyses were performed using two-way ANOVA with multiple comparisons using Tukey’s post-hoc test: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, using GraphPad Prism software (v.8, La Jolla, CA, USA).

Supplementary information

Acknowledgements

The authors would like to acknowledge Ms. Daniela Ciobota, Dr. Orli Yogev and Dr. Chiara Da Pieve for their background knowledge and review of the manuscript. We also thank you Dr. Sean Preshlock for helpful discussion enabling more effective 18F-labeling.

Author contributions

Conceptualisation, G.K.M., G.S., V.G., L.C., S.T.; Methodology, S.T., D.R.T., C.D.M., V.G., T.C.W.; Validation, S.T., D.R.T., C.D.M.; Formal Analysis, S.T.; Investigation, S.T., D.R.T., C.D.M.; Resources, G.K.M, G.S, V.G, T.C.W.; Data Curation, S.T., C.D.M,.; Writing and editing, S.T., G.K.M., G.S, V.G., L.C.; Visualisation, S.T.; Supervision, G.K.M., L.C.; Project Administration, S.T., G.K.M.; Funding Acquisition, G.K.M., G.S., L.C..

Funding

This research was supported in part by the Cancer Research UK-Cancer Imaging Centre (C1060/A16464). This report is independent research funded by the National Institute for Health Research. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

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

Supplementary information

is available for this paper at 10.1038/s41598-020-77788-3.

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