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Sensitivity of pretargeted immunoPET using 68Ga-peptide to detect colonic carcinoma liver metastases in a murine xenograft model: Comparison with 18FDG PET-CT

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Oncotarget. 2018; 9:27502-27513. https://doi.org/10.18632/oncotarget.25514

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Fanny Foubert, Sébastien Gouard, Catherine Saï-Maurel, Michel Chérel, Alain Faivre-Chauvet, David M. Goldenberg, Jacques Barbet, Clément Bailly, Caroline Bodet-Milin, Thomas Carlier, Kraeber-Bodéré Françoise, Yann Touchefeu and Eric Frampas _

Abstract

Fanny Foubert1,2, Sébastien Gouard1, Catherine Saï-Maurel1, Michel Chérel1,3, Alain Faivre-Chauvet1,4, David M. Goldenberg5,6, Jacques Barbet1,7, Clément Bailly1,4, Caroline Bodet-Milin1,3,4, Thomas Carlier1,4, Françoise Kraeber-Bodéré1,3,4, Yann Touchefeu1,2,* and Eric Frampas1,8,*

1CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France

2Hepato-Gastroenterology Department, Institut des Maladies de l’Appareil Digestif, University Hospital, Nantes, France

3Nuclear Medicine Department, ICO René Gauducheau Cancer Center, Saint Herblain, France

4Nuclear Medicine Department, University Hospital, Nantes, France

5IBC Pharmaceuticals Inc., Morris Plains, New Jersey, USA

6Immunomedics Inc., Morris Plains, New Jersey, USA

7GIP ARRONAX, Saint-Herblain, Nantes, France

8Radiology Department, University Hospital, Nantes, France

*These authors have contributed equally to this work

Correspondence to:

Eric Frampas, email: Eric.frampas@chu-nantes.fr

Keywords: carcinoembryonic antigen; colonic cancer; liver metastases; 18FDG-PET; immuno-PET

Received: December 06, 2017     Accepted: May 12, 2018     Published: June 08, 2018

ABSTRACT

Purpose: The aim of this study was to compare the performances pretargeted immunoPET 68Ga-PETimaging (68Ga-pPET) with anti carcino-embryonic antigen (CEA) and anti-histamine-succinyl-glycine (HSG) recombinant humanized bispecific monoclonal antibody (TF2) and 68Ga-labeled HSG peptide (IMP288) to conventional 18FDG-PET in an orthotopic murine model of liver metastases of human colonic cancer.

Methods: Hepatic tumor burden following intra-portal injection of luciferase-transfected LS174T cells in nude mice was confirmed using bioluminescence. One group of animals was injected intravenously with TF2 and with 68Ga-IMP288 24 hours later (n=8). Another group received 18FDG (n=8), and a third had both imaging modalities (n=7). PET acquisitions started 1 hour after injection of the radioconjugate. Biodistributions in tumors and normal tissues were assessed one hour after imaging.

Results: Tumor/organ ratios were significantly higher with 68Ga-pPET compared to 18FDG-PET (P<0.05) with both imaging and biodistribution data. 68Ga-pPET sensitivity for tumor detection was 67% vs. 31% with 18FDG PET (P=0.049). For tumors less than 200 mg, the sensitivity was 44% with 68Ga-pPET vs. 0% for 18FDG PET (P=0.031). A strong correlation was demonstrated between tumor uptakes measured on PET images and biodistribution analyses (r2=0.85).

Conclusion: 68Ga-pPET was more sensitive than 18FDG-PET for the detection of human colonic liver metastases in an orthotopic murine xenograft model. Improved tumor/organ ratios support the use of pretargeting method for imaging and therapy of CEA-expressing tumors.


INTRODUCTION

Colorectal cancer (CRC) is the third most frequently diagnosed cancer with about 1 million new cases and more than 500,000 deaths worldwide annually. Metastases develop in at least 50% of patients, most commonly in the liver [1]. In case of metastatic disease, the 5-year survival is less than 15% but may reach 60% when all lesions are resected [2]. CRC staging is based on anatomical imaging, such as computed tomography (CT) and magnetic resonance imaging (MRI). However, the sensitivity of these techniques for the detection of infra-centimetric tumors is less than 60% [3]. Fluorine-18 fluorodeoxyglucose (18FDG) positron emission tomography (PET) is highly sensitive for the detection of liver metastases and the diagnosis of CRC recurrence [4]. For the planned resection of metastatic lesions, FDG-PET can provide additional information to characterize and/or identify new potential lesions [5]. However, 18FDG-PET is hampered by a limited sensitivity for tumors less than 10 mm and lacks specificity in case of inflammatory or infectious lesions [6, 7].

To detect lesions, immuno-targeting strategies using intravenously injected radiolabeled antibodies as well as their fragments have been proposed many years ago. Optimal tumor imaging requires high tumor uptake and low retention of activity in normal tissues. Due to the slow blood clearance of IgG antibodies, the selective uptake in tumor lesions can be masked by excessive blood-pool or normal tissue activities. New targeting strategies have thus been investigated for the past 20 years, favored by advances in molecular engineering [8].

The pretargeted strategy has been developed to further improve the combination of high-binding, selective antibodies with higher tumor-to-blood ratios. In such a strategy, a nonradioactive bifunctional antibody with specificity for both a tumor antigen and a small molecule is first injected to selectively localize the tumor. Once sufficient blood clearance of the unbound fraction of the bifunctional antibody is achieved, the radiolabeled small molecule is injected and captured by the pretargeted antibody at the tumor, resulting in higher binding specificity and higher tumor-to-blood ratios compared to directly-labeled antibody targeting [9].

Carcinoembryonic antigen (CEA or CD66e) is a cell-surface glycoprotein over-expressed in a number of tumors, including more than 90% of colorectal cancers (CRC) [10]. Therefore, it became a favored target antigen for radioimmunolocalization of CRC. A novel pretargeting system uses a bispecific trivalent antibody against CEA and the histamine-succinyl-glycine (HSG) hapten called TF2, recently developed by the dock-and-lock (DNL) technology. The activity carrier consists of a DOTA-di-HSG peptide, IMP288 [11, 12]. This DOTA compound may be labeled with a variety of radioactive isotopes, such as 111In, 99Tc or 68Ga for imaging, but also 90Y or 177Lu for therapy in the so-called pretargeted radioimmunotherapy strategy [1315]. 68Ga is a positron emitter suitable for PET imaging. Its 68-minute half-life is appropriate with the pharmacokinetics of the radiolabeled peptide and short enough to limit radiation exposure. Our study aimed at comparing standard 18FDG-PET imaging to pretargeted immuno-68Ga-PET (68Ga-pPET) imaging with TF2 and 68Ga-IMP288 in a preclinical orthotopic murine xenograft model of human colonic liver metastases.

RESULTS

PET imaging

On the 18FDG-PET images, the tumor uptake was hidden by the background uptake. Main normal uptakes were measured in heart, muscles and kidneys. Tumor discrimination was much better in 68Ga-pPET images, as adequate contrast was obtained between the high tumor uptake and the low normal tissue uptake (Figure 1).

PET imaging of hepatic LS174T metastases (white arrows) in two mice.

Figure 1: PET imaging of hepatic LS174T metastases (white arrows) in two mice. 3D Volume Rendering. 18FDG PET-CT (a, c). Images obtained 1h after intravenous injection of 13 MBq of 18FDG. Corresponding 68Ga-pPET-CT (b, d). Images obtained 1 hour after IV injection of 10.1 MBq of pretargeted 68Ga-IMP288. Kidneys (yellow arrows), hepatic and bowel uptakes (red arrow). Corresponding macroscopic liver photography after dissection (e, f). Images c and d correspond to the mouse illustrated in Figure 1 with bioluminescence.

Uptake measured in PET (in Bq/mL) from ROI on each tumor and each normal organ was analyzed, taking into account the injected activity and the physical decay of radionuclide. Normal organ uptake (in %ID/mL) was statistically higher in 18FDG-PET (n=16) versus 68Ga-pPET (n=15) (P<0.005). For tumor uptake, the difference between 18FDG-PET and 68Ga-pPET was not statistically significant (P=0.649) (Figure 2). Normal liver uptake in negative control mice («control without graft» imaged by 68Ga-pPET and «control without TF2» imaged in 68Ga-pPET) were 0.48 and 0.34 %ID/mL respectively, comparable to those of grafted mice imaged with 68Ga-pPET.

PET images analysis.

Figure 2: PET images analysis. Comparison of uptakes obtained in 68Ga-pPET and 18FDG PET. For normal organs, values are obtained from a ROI drafted around the organ (for well- limited organs such as heart and kidney) or on the organ (for poorly-limited organs, such as liver, bowel or muscle) in each of the 2 selected images (most intense uptake). For tumors, the highest uptake in the tumor is obtained from a constant ROI of 2 mm3 drawn around the hottest spot.

To compare imaging contrast, tumor/organ ratios were calculated for both imaging modalities (Figure 3). Only mice with unequivocal tumor imaging were included in this analysis. Tumor/organ ratios in 68Ga-pPET (n=10) were statistically higher than tumor/organ ratios in 18FDG-PET (n=5) (P=0.001). Tumor/liver ratios were higher with 68Ga-pPET compared to 18FDG-PET (12.7 +/- 7.07 versus 4.08 +/- 1.01), although the difference was not statistically significant (P=0.099).

PET images analysis.

Figure 3: PET images analysis. Intrahepatic tumor to non-tumor ratios with 68Ga-pPET and 18FDG PET.

Imaging performance

68Ga-pPET sensitivity for tumor detection was 67% versus 31% for 18FDG-PET (P=0.049). For smaller tumors less than 200 mg, the sensitivity was 44% with 68Ga-pPET versus 0% with 18FDG-PET (P=0.031) (Figure 4). The tumor detection threshold in 68Ga-pPET was 100 mg, while it was more than 600 mg in 18FDG PET.

68Ga-pPET and 18FDG PET sensitivities, according to tumor weights.

Figure 4: 68Ga-pPET and 18FDG PET sensitivities, according to tumor weights.

Biodistribution

In 18FDG-PET (n=13), 2 mice were not analyzed due to a breach of protocol. For 3 mice, tumors were not counted because no macroscopic tumor was detected for dissection. In 68Ga-pPET (n=8), the organ « bowel » was excluded from analysis for one mouse, because the measured activity was aberrant, probably due to a contamination of the counting tube. Uptakes were significantly higher in all organs with 18FDG-PET (P<0.05) except for tumors (Table 1). Tumor/organ ratios were higher in 68Ga-pPET compared to 18FDG-PET, with significant differences except for the tumor/blood ratios (P=0.515) (Figure 5). Data were comparable for healthy organs in the other model of subcutaneous tumors of medullary thyoid carcinoma.

Table 1: Biodistribution analyses

Tissue

68Ga pPET

18FDG-PET

(n= 8)

(n=13)

Tumor

5.50 ± 0.96 (n=8)

7.61 ± 1.53 (n=10)

Blood *

0.63 ± 0.19

1.21 ± 0,20

Liver **

0.95 ± 0.15

2.26 ± 0.33

Kidney ***

1.88 ± 0.37

6.57 ± 0.77

Intestine ***

0.30 ± 0.10

4.99 ± 0.52

Lung ***

0.75 ± 0.14

5.77 ± 0.50

Muscle ***

0.35 ± 0.14

5.93 ± 1.78

Spleen ***

0.47 ± 0.07

4.52 ± 0.37

Skin ***

0.72 ± 0.25

3.08 ± 0.17

Brain ***

0.15 ± 0.06

5.74 ± 0.49

Heart ***

0.28 ± 0.08

61.57 ± 10.53

Bone ***

0.32 ± 0.09

3.85 ± 0.40

Stomach ***

0.43 ± 0.12

3.43 ± 0.45

(*: p=0.043, **: p= 0.0018, ***: p= 0.0004).

Comparison of tumor and organ uptake in 68Ga-pPET and 18FDG-PET. (*: P=0.043, **: P=0.0018, ***: P<0.0004).

Biodistribution analyses.

Figure 5: Biodistribution analyses. Comparison of tumor/organ ratio in 68Ga-pPET and 18FDG-PET. (*: P=0.012, **: P=0.0021, ***: P<0.0005).

Figure 6 shows the correlation observed between biodistribution and PET uptake results (r2 = 0.85 and P< 0.0001).

Correlation between biodistribution data and PET uptake for tumors (n=18). r2 = 0.85, P&#x003C;0.0001.

Figure 6: Correlation between biodistribution data and PET uptake for tumors (n=18). r2 = 0.85, P<0.0001.

DISCUSSION

Diagnostic of intra- and extra-hepatic metastases for therapeutic management remains crucial and challenging. Current diagnostic imaging of CRC liver metastases mainly relies on CT, MRI and 18FDG-PET. 18FDG-PET is a highly sensitive noninvasive imaging modality for the detection of such lesions. Nevertheless, detection by 18FDG-PET is directly related to size, with reported sensitivities falling from 88% to 50% for lesions < 10 mm [7], and is still hampered by non-specific uptake, such as in inflammation.

Our study demonstrated that the novel pretargeted immuno-PETmodality was more sensitive than 18FDG-PET for human colonic liver metastases detection in an orthotopic murine model. PET image contrast was higher with pretargeted 68Ga-peptides PET than with 18FDG-PET, allowing the detection of smaller tumors.

Pretargeting is one way to improve tumor uptake and tumor to normal organ uptake ratios by reducing the molecular size of the radioactive agent and using a non-radiolabeled bispecific antibody, such as TF2. TF2 is a humanized bispecific monoclonal antibody produced by the Dock-and-Lock® technology, containing two anti-CEA Fab fragments and another Fab fragment binding the HSG hapten component of the IMP288 hapten peptide [11]. Compared to previously used bispecific antibodies with a single binding site for the tumor antigen and another for the hapten, this bivalency is expected to increase tumor accretion [16]. TF2 selectively and rapidly accumulates in the tumor, within 2 to 6 hours and also clears rapidly from blood and body in less than 24 hours. IMP288 is a DOTA-conjugated tetrapeptide containing two HSG hapten structures, also clearing rapidly from blood within an hour.

Uptakes in tumor reflecting tumor accretion were not statically different between 68Ga-pPET and 18FDG-PET. However 68Ga-pPET images analyses showed high tumor/organ ratios, due to low normal tissue uptake. By contrast, in 18FDG-PET imaging, background activity remains high despite measures used to optimize images, such as general anesthesia, fasting and warming of mice [17, 18]. The fast clearance of unbound TF2 allow rapid binding of labeled peptide to TF2 and rapid renal clearance of excess radiolabeled peptide [1922]. These properties explain the low background activities observed in 68Ga-pPET.

Despite below 1 %ID/mL on biodistribution data, liver background remained significant in 68Ga-pPET. However, the tumor/liver ratios remained 3 times higher in 68Ga-pPET than 18FDG. Hypotheses for this liver background include a combination of intrahepatic blood uptake in such a highly vascularized organ, free 68Ga elimination, even if the free fraction of injected 68Ga is less than 5 % in our study and the 68Ga-IMP288 complex was shown to be stable for more than 4 hours in a previous study [23] and additional non-specific binding of TF2 to liver parenchyma.

In this study, we demonstrated that 68Ga-pPET was more sensitive than 18FDG-PET, especially for the detection of tumors smaller than 200 mg. For larger tumors, 18FDG-PET performance is well known, tumor cell metabolism being sufficient to provide a detectable uptake in PET. Thus, for tumor less than 200 mg, 18FDG-PET performance is surpassed by 68Ga-pPET. However, the sensitivity of 68Ga-pPET remained low for tumors less than 100 mg (17% versus 0% with 18FDG-PET). Those small tumors most frequently measured less than 2 mm in diameter. The PET intrinsic spatial resolution of 1.6 mm and the 68Ga positron range of 2.4 mm are probably the physical limits of 68Ga-PET detection in this situation.

Intrahepatic tumor grafting by means of an inoculation via the portal vein is an effective and well-controlled method to produce liver metastases quickly while mimicking the pathophysiological development in humans [24]. However, in nude mice, TF2 binding is limited to the grafted human tumor cells, because normal mouse organs do not express human CEACAM5. In humans, TF2 also binds specifically to CEACAM5-expressing tumors, with little binding to normal organs [25]. In a phase I clinical trial, a high tumor/organ ratio (higher than 20) after phenotypic imaging (111In-IMP288-TF2) has been demonstrated, highlighting that CEA-expression of normal organs is not a limitation for TF2-pretargeting [26].

68Ga-pPET performances was reported in other models of colonic cancer xenografts [13], with tumor uptake of 10.7 +/- 3.6% ID/g in the subcutaneous model, and 23.4 +/- 7.2% ID/g in the peritoneal model. However, this preclinical model is closer to clinical conditions, where tumors are deep, surrounded by liver parenchyma, and more difficult to detect by PET. Tumor uptake depended on tumor size. The major part of the liver tumors analyzed were over 50 mg, since they were easier to detect macroscopically in the liver parenchyma at dissection. Previous biodistribution results of 68Ga-IMP288 and 125I-TF2 in peritoneal metastases showed an inverse relationship between tumor weight and activity concentration [27], explaining the lower tumor uptake obtained in this study (5.40 +/- 2.72% ID/g).

The use of 68Ga in PET imaging is promising, since it has good properties for imaging and it is available from long half-life generators. There are already some promising clinical developments of PET imaging with 68Ga, particularly in the imaging of neuroendocrine tumors. 68Ga labeling with DOTA compounds improved the diagnosis and management of neuroendocrine tumors compared to previous imaging with somatostatin analogue tracers labeled with 111In [28, 29]. Its short physical half-life (68 minutes) requires very fast and efficient targeting. The pretargeting system used here proved adequate, however even better contrasts may have been obtained later after activity injection and in this respect the labeling of di-HSG peptides with 18F, which is also feasible [13], or the use of positron emitters with slightly longer half life, such as scandium-44 or copper-64, could improve tumor detection.

The high activity measured in tumors with this pretargeting system paves the way for therapeutic applications. Indeed, replacement of 68Ga by alpha- or beta-emitters enables radioimmunotherapy. Indeed, a phase I trial of pretargeted radioimmunotherapy with TF2/177Lu-IMP288, after confirmation of tumor targeting with TF2/111In-IMP288, demonstrated the feasibility and safety of pretargeted radioimmunotherapy in patients with CRC [26]. A therapeutic phase I/II trial with TF2/90Y-IMP288 has been also started in France (EudraCT number: n° 2014-001871-29).

Imaging is a mandatory first step of pretargeted radioimmunotherapy, allowing adapting the injected activity to each patient for a theranostic approach in the context of personalized medicine. Our study demonstrated a good correlation between uptakes analyzed by Inveon software on PET images and activities measured with biodistribution. However, for dosimetric purposes, longer half-life PET emitters should be considered, in particular 64Cu (t1/2= 12.7 h). Furthermore, imaging could be used a biomarker to guide antibody-based therapies. Until now, only analyses from tumour biopsies or blood samples can be used as predictive markers for response to therapies. MAbs can be labelled with radionuclides, offering a noninvasive solution to quantitatively assess in vivo target expression, whole-body mapping of tumour cell biomarker expression, to select patients for expensive and potentially toxic therapies [30].

The Dock-and-Lock technology enables the production of various antibodies specific to other antigenic targets. For example, in pancreatic carcinoma, TF10, a bispecific anti-PAM4 (expressed by pancreatic carcinoma) and anti-HSG was developed for nuclear imaging and radioimmunotherapy, and where radiation dose estimates suggested that TF10/90Y-peptide pretargeting would provide a greater anti-tumor effect compared to 90Y-IgG [31]. A radioimmunotherapy trial was also performed in prostate cancer with a bispecific anti-TROP-2 (expressed by prostate cancer cells) and anti-HSG, called TF12, and showed a higher median survival following 2 or 3 cycles compared to controls (>150 vs. 76 days) [32].

In conclusion, 68Ga-pPET was more accurate than 18FDG-PET for the detection of human colonic cancer liver metastases in a murine model. According to its high sensitivity and the good correlation between PET images and tumor deposition, this imaging method should be further explored as both a diagnostic method and possibly also a more specific approach to radioimmunotherapy. A clinical study evaluating 68Ga-IMP288 PET after TF2-pretargeting for the assessment of liver metastases before surgical resection in patients with metastatic colorectal cancer is running, and should help determine its potential in a new diagnostic algorithm for cancer immunodetection.

MATERIALS AND METHODS

Cell line

LS174T is a human colon adenocarcinoma cell line (ATCC: CL-188, Rockville, MD), obtained from the American Type Culture Collection, which strongly expresses CEA (appendix 1). LS174T are selected stably transfected cells with the luciferase expressing pCMV-Luc+-SVNeo gene, which codes for luciferase (Inserm U540, Molecular and Cellular Endocrinology of Cancers Unit, Montpellier, France), thus allowing tumor growth visualization by in vivo bioluminescence.

Animal model

The study was approved by the Ethics Committee of French Ministry of Higher Education and Research (reference 00143.01). Female nude mice (NMRI-nu (nu/nu); JANVIER, Le Genet St Ile, France; 10 - 12 weeks old, weight 25-35 g) were housed under standard conditions (standard diet and water ad libitum). Mice were anesthetized by intra-peritoneal injection of a ketamine and xylazine hydrochloride mixture [25 mL of 10 mg/mL Ketalar® (Sandoz), 3 mL of 2% Rompun® (Bayer), and 10 mL of PBS], at the dose of 0.1 mL per 10 g of mouse. One million cells suspended in 0.1 mL sterile physiologic serum were injected into the portal vein through a 30.5 G needle after a short median incision [24].

Bioluminescence imaging

After cell grafting, tumor growth was investigated by bioluminescence at day 7 and then every 4 to 5 days. The mice were anesthetized by an intraperitoneal injection of 0.2ml of the anesthetic. Eight minutes after intra peritoneal injection of D-luciferine (1.2 mg, FluoProbes®, Interchim Montluçon, France), photons emitted were collected over 2 minutes, for each animal separately, with an ultra-sensitive CDD camera (PhotonImager®, Biospace) under general anesthesia. A Pseudo-color image was generated, representing light intensity according to a blue to red color-scale. The number of photon counts detected per minute (cpm) for each mouse in a similar region of interest (ROI) was registered to compare tumor growth between animals and over time with the Photovision+ software (Biospace) (Figure 7). PET imaging was performed when the 100,000 cpm level was reached, confirming tumor burden and corresponding to total weight of macroscopic nodules of 150 mg on previous published data [24].

In-vivo bioluminescence images of a mouse bearing LS174 Luc+ liver metastases.

Figure 7: In-vivo bioluminescence images of a mouse bearing LS174 Luc+ liver metastases. The relative intensity of the photon counts per pixel is represented in color, from the least intense violet blue to the highest red. Tumor progression over time from day 11 to day 25.

Animal groups

Groups for experimental conditions

To compare 68Ga-pPET to 18FDG-PET, 3 groups of animals were constituted after tumor grafting and growth control by bioluminescence imaging. The «68Ga-pPET» group (n=8) was explored by PET after TF2-pretargeting and injection of 68Ga-IMP288 (68Ga--PET). The «18FDG-PET» group (n=8) was explored by standard 18FDG-PET. The «2 imaging» group (n=7) was first explored by 68Ga-pPET and 48-72 hours later, by 18FDG-PET.

Negative controls

One healthy animal was explored by 68Ga-pPET («control without graft»). One intrahepatic tumor grafted animal was injected with 68Ga-IMP288 without TF2-pretargeting («control without TF2»). Data from six mice with subcutaneous tumors of another model of medullary thyroid carcinoma with similar 68Ga-pPET and 18FDG-PET protocols were also compared for biodistribution data of healthy tissues.

Pretargeting procedure

TF2 and IMP288 were kindly provided by Immunomedics, Inc., and IBC Pharmaceuticals, Inc. (Morris Plains, NJ, USA). TF2 is a bispecific trivalent antibody, composed of three Fab fragments assembled by the Dock-and-Lock® method, using the natural binding between the regulatory subunits of c-AMP-dependant protein kinase A and the anchoring domains of A kinase anchoring protein [12, 13]. Two Fab fragments are derived from the humanized monoclonal antibody, hMN-14 (labetuzumab, Immunomedics, Inc.), which has binding specificity for human CEACAM5 (CD66e), and one fragment from the humanized monoclonal antibody h679, which specifically binds the histamine-succinyl-glycine (HSG) hapten. TF2 (156 kDa) has two functional CEACAM5 and one HSG binding sites, and is stable in serum, retaining 98% of its binding activity after 7 days [11].

The IMP288 peptide (DOTA-D-Tyr-D-Lys(HSG)-D-Glu-D-Lys(HSG)-NH2) contains two HSG moieties and a single DOTA for metal binding. Labeling was performed in a hot cell for synthesis (Medisystem) just before injection. After purification on a Bondelut StrataX column, 68Ga was collected and added to 70 μL of IMP288 (100 nmol/mL) with 2.4 mL of acetate buffer, pH 4.5 (76 mL of 0.3 M acetic acid + 24 mL of 0.3 M acetate). The mixture was heated at 95°C for 10 min and then cooled by addition of 2 mL of ultrapure water. To eliminate free 68Ga, purification was done by separation on a SEPAK C18 column, previously activated by 5 mL of ultrapure water and 5 mL of ethanol. After washing the cartridge with NaCl, the peptide was eluted with 25% ethanol. Radiochemical purity was controlled by high performance liquid chromatography (HPLC). The expected radiochemical purity exceeded 95%.

PET imaging

Twenty-four hours after intravenous injection via the tail vein of 6 nmol of TF2 (190 μL, lot 1205118, concentration 5 mg/mL), 4.7 to 10 MBq of 68Ga-IMP288 (0.25 nmol of labeled IMP288) were injected in the «68Ga-PET» and «2 imaging» groups. The 68Ga-IMP288 dose was determined to reach an optimal TF2/peptide ratio [33]. The mice were then maintained under general anesthesia with 2% isofurane (Forane®, USP, Baxter) in an induction box at 30°C under a heating lamp.

PET images were acquired with an Inveon small animal PET/CT scanner (Siemens Preclinical Solutions, Knoxville, TN). Two mice lying in the supine position were evaluated simultaneously under gas anesthesia. Acquisition started 60 minutes after the radiolabeled peptide injection. CT scanning was performed for anatomical reference (voxel size: 113 μm, 80 kV, 500 μA, exposure time 320 msec). CT images were made with a common cone-beam reconstruction method (Siemens). CT acquisition was followed by PET acquisition (time of acquisition: 20 minutes, spatial resolution 1.6 mm, sections of 0.8 mm). Images were reconstructed using the Inveon Acquisition Workplace software (version 1.2, Siemens Preclinical Solutions, Knoxville, TN) with 3D Ordered Subset Expectation Maximization algorithm followed by a fast Maximum A Priori probability algorithm (OSEM3D/MAP). Images were corrected for attenuation and scattering using the Inveon Acquisition Workplace methods Supplementary Figure 1.

Normal organs analyses

For each organ, two 2D PET images showing the most intense uptake were selected. A ROI was manually drafted around the organ (for well- limited organs such as heart and kidney) or on the organ (for poorly-limited organs, such as liver, bowel or muscle) in each of the 2 selected images. The mean value (in Bq/mL and %ID/mL) was collected as the «Normal organ» uptake.

Tumor analyses

For each animal, the highest uptake in the tumor was determined with Inveon Research Workplace software (Inveon, Siemens). A constant ROI of 2 mm3 was drawn around the hottest spot. The mean value (in Bq/mL and %ID/mL) was collected as the «Tumor» uptake Supplementary Figure 2.

Mice in «18FDG-PET» and «2 imaging» groups were fasted for 12 hours before imaging with free access to water. Five to 12 MBq of 18FDG were intravenously injected. PET/CT acquisitions started 60 minutes after 18FDG injection. Acquisition, reconstruction protocols, «Normal organ» and «Tumor» uptake analyses were similar to those used for the «68GaPET» group.

PET performance analysis

For each mouse, the tumor/normal organ ratio was calculated to explore contrast resolution and evaluate the detectability of the tumor. Statistical comparison of the ratios was performed using a non-parametric, two-tailed, Mann Whitney test using GraphPad InStat software (version 5.00, GraphPad Software).

PET imaging was compared to bioluminescence that had confirmed hepatic colonization. PET/CT images were blinded and analyzed slide by slide to determine the presence of intra-hepatic lesions. The «number of mice with definite lesions in PET/total number of mice with proven tumors by bioluminescence» ratios were calculated to assess the sensitivity of each PET method. Statistical analyses were performed by the two-sided Chi-square test using GraphPad InStat. For each imaging mode, the detection threshold was the tumor volume over which 100% of tumors were detected.

Biodistribution analyses

The gamma counter was calibrated according to the manufacturer’s instructions for 68Ga and 18FDG. After a retro-orbital blood sample collection, mice were euthanized by cervical dislocation and dissected after 68Ga-pPET for the «68Ga-pPET» group and after 18FDG-PET for the «18FDG» and «2 imaging» groups. All macroscopic tumors and normal organs (sample of macroscopically healthy liver, kidneys, muscle, spleen, skin, bone, heart, lungs, bowel, stomach and tail) were collected, weighed and counted in a gamma counter (counting time: 30 seconds per organ), simultaneously with standards prepared from the injected products. Activity measured in the tail was considered as not distributed to mice and subtracted from the injected activity for analyses. For each organ, the amount of present activity (%ID) was calculated:

%ID= (measured activity in organ (cpm)/weight of organ (g))/(standard activity (cpm)-measured activity in tail (cpm)).

Tumor/normal organ ratios were calculated for each animal. Non-parametric, two-tailed, Mann Whitney test using GraphPad InStat software was used for statistical comparisons of means and ratios.

Correlation between tumor uptakes in biodistribution and PET imaging

To validate the imaging process, a correlation test was performed to assess the relationship between tumor uptake measured in biodistribution analyses (cpm per gram of tumor) and the uptake obtained with PET by Inveon software (in Bq/mL). The selected uptake in PET imaging was the mean value of overall tumor volume, decreased by the natural decay. The non-parametric Spearman’s correlation test using GraphPad InStat software was used for the statistical analyses. For all statistical analyses, P ≤ 0.05 was considered to indicate a significant difference.

Author contributions

F.F drafted the manuscript. G.S, M.C, C.M, C.T participated to animal procedures, clinical and imaging analysis. G.S, M.C, FC.A were responsive for radiolabeling. B.C, BM.C, C.M, T.Y have contributed to the design of the study and provided critical reading of the manuscript. F.F, F.E, C.M, T.Y have contributed to the study design, performed the statistical analyses and contributed to the final manuscript. B.J, G.DM, KB.F provided critical reading of the manuscript. EF and TY contributed equally to this work.

CONFLICTS OF INTEREST

Dr. Goldenberg is an inventor of DNL, and was an officer and employee of Immunomedics, Inc., and of IBC Pharmaceuticals, Inc. He retired from IBC Pharmaceuticals and from Immunomedics after this article was submitted for publications. The other authors have no disclosures to report.

FUNDING

This work has been supported in part by grants from the French National Agency for Research called “Investissements d'Avenir” Labex IRON n°ANR-11-LABX-0018-01 and Equipex ArronaxPlus n°ANR-11-EQPX-0004, and by a grant from the “DHU Oncogreffe” of the Nantes University Hospital.

REFERENCES

1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010; 127:2893-917. https://doi.org/10.1002/ijc.25516.

2. Adam R, De Gramont A, Figueras J, Guthrie A, Kokudo N, Kunstlinger F, Loyer E, Poston G, Rougier P, Rubbia-Brandt L, Sobrero A, Tabernero J, Teh C, et al. The oncosurgery approach to managing liver metastases from colorectal cancer: a multidisciplinary international consensus. The Oncologist. 2012; 17:1225-39. https://doi.org/10.1634/theoncologist.2012-0121.

3. Niekel MC, Bipat S, Stoker J. Diagnostic imaging of colorectal liver metastases with CT, MR imaging, FDG PET, and/or FDG PET/CT: a meta-analysis of prospective studies including patients who have not previously undergone treatment. Radiology. 2010; 257:674-84. https://doi.org/10.1148/radiol.10100729.

4. Deleau C, Buecher B, Rousseau C, Kraeber-Bodéré F, Flamant M, des Varannes SB, Frampas E, Galmiche JP, Matysiak-Budnik T. Clinical impact of fluorodeoxyglucose-positron emission tomography scan/computed tomography in comparison with computed tomography on the detection of colorectal cancer recurrence. Eur J Gastroenterol Hepatol. 2011; 23:275-81. https://doi.org/10.1097/MEG.0b013e328343eaa0.

5. Van Cutsem E, Cervantes A, Nordlinger B, Arnold D, and ESMO Guidelines Working Group. Metastatic colorectal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2014; 25 Suppl 3:iii1-9. https://doi.org/10.1093/annonc/mdu260.

6. Sahani DV, Kalva SP, Fischman AJ, Kadavigere R, Blake M, Hahn PF, Saini S. Detection of liver metastases from adenocarcinoma of the colon and pancreas: comparison of mangafodipir trisodium-enhanced liver MRI and wholebody FDG PET. AJR Am J Roentgenol. 2005; 185:239-46. https://doi.org/10.2214/ajr.185.1.01850239.

7. Mainenti PP, Mancini M, Mainolfi C, Camera L, Maurea S, Manchia A, Tanga M, Persico F, Addeo P, D’Antonio D, Speranza A, Bucci L, Persico G, et al. Detection of colorectal liver metastases: prospective comparison of contrast enhanced US, multidetector CT, PET/CT, and 1.5 Tesla MR with extracellular and reticulo-endothelial cell specific contrast agents. Abdom Imaging. 2010; 35:511-21. https://doi.org/10.1007/s00261-009-9555-2.

8. Sharkey RM, Goldenberg DM. Novel radioimmunopharmaceuticals for cancer imaging and therapy. Curr Opin Investig Drugs. 2008; 9:1302-16.

9. Kraeber-Bodéré F, Rousseau C, Bodet-Milin C, Frampas E, Faivre-Chauvet A, Rauscher A, Sharkey RM, Goldenberg DM, Chatal JF, Barbet J. A pretargeting system for tumor PET imaging and radioimmunotherapy. Front Pharmacol. 2015; 6:54. https://doi.org/10.3389/fphar.2015.00054.

10. Vrabie CD, Ceauşu M, Petrescu A, Waller M, Dina I. The usefulness of immunohistochemistry in sporadic colorectal cancer. Rom J Morphol Embryol. 2008; 49:525-35.

11. Rossi EA, Goldenberg DM, Cardillo TM, McBride WJ, Sharkey RM, Chang CH. Stably tethered multifunctional structures of defined composition made by the dock and lock method for use in cancer targeting. Proc Natl Acad Sci U S A. 2006; 103:6841-6. https://doi.org/10.1073/pnas.0600982103.

12. Goldenberg DM, Rossi EA, Sharkey RM, McBride WJ, Chang CH. Multifunctional antibodies by the Dock-and- Lock method for improved cancer imaging and therapy by pretargeting. J Nucl Med. 2008; 49:158-63. https://doi.org/10.2967/jnumed.107.046185.

13. Schoffelen R, Sharkey RM, Goldenberg DM, Franssen G, McBride WJ, Rossi EA, Chang CH, Laverman P, Disselhorst JA, Eek A, van der Graaf WT, Oyen WJ, Boerman OC. Pretargeted immuno-positron emission tomography imaging of carcinoembryonic antigenexpressing tumors with a bispecific antibody and a 68Gaand 18F-labeled hapten peptide in mice with human tumor xenografts. Mol Cancer Ther. 2010; 9:1019-27. https://doi.org/10.1158/1535-7163.MCT-09-0862.

14. Sharkey RM, Rossi EA, McBride WJ, Chang CH, Goldenberg DM. Recombinant bispecific monoclonal antibodies prepared by the dock-and-lock strategy for pretargeted radioimmunotherapy. Semin Nucl Med. 2010; 40:190-203. https://doi.org/10.1053/j.semnuclmed.2009.12.002.

15. McBride WJ, Zanzonico P, Sharkey RM, Norén C, Karacay H, Rossi EA, Losman MJ, Brard PY, Chang CH, Larson SM, Goldenberg DM. Bispecific antibody pretargeting PET (immunoPET) with an 124I-labeled hapten-peptide. J Nucl Med. 2006; 47:1678-88.

16. Karacay H, Sharkey RM, McBride WJ, Griffiths GL, Qu Z, Chang K, Hansen HJ, Goldenberg DM. Pretargeting for cancer radioimmunotherapy with bispecific antibodies: role of the bispecific antibody’s valency for the tumor target antigen. Bioconjug Chem. 2002; 13:1054-70.

17. Woo SK, Lee TS, Kim KM, Kim JY, Jung JH, Kang JH, Cheon GJ, Choi CW, Lim SM. Anesthesia condition for (18)F-FDG imaging of lung metastasis tumors using small animal PET. Nucl Med Biol. 2008; 35:143-50. https://doi.org/10.1016/j.nucmedbio.2007.10.003.

18. Surasi DS, Bhambhvani P, Baldwin JA, Almodovar SE, O’Malley JP. 18F-FDG PET and PET/CT patient preparation: a review of the literature. J Nucl Med Technol. 2014; 42:5-13. https://doi.org/10.2967/jnmt.113.132621.

19. Sharkey RM, Karacay H, Cardillo TM, Chang CH, McBride WJ, Rossi EA, Horak ID, Goldenberg DM. Improving the delivery of radionuclides for imaging and therapy of cancer using pretargeting methods. Clin Cancer Res. 2005; 11:7109s-7121s. https://doi.org/10.1158/1078-0432.CCR-1004-0009.

20. Goldenberg DM, Sharkey RM, Paganelli G, Barbet J, Chatal JF. Antibody pretargeting advances cancer radioimmunodetection and radioimmunotherapy. J Clin Oncol. 2006; 24:823-34. https://doi.org/10.1200/JCO.2005.03.8471.

21. Sharkey RM, Goldenberg DM. Cancer radioimmunotherapy. Immunotherapy. 2011; 3:349-70. https://doi.org/10.2217/imt.10.114.

22. Frampas E, Rousseau C, Bodet-Milin C, Barbet J, Chatal JF, Kraeber-Bodéré F. Improvement of radioimmunotherapy using pretargeting. Front Oncol. 2013; 3:159. https://doi.org/10.3389/fonc.2013.00159.

23. Griffiths GL, Chang CH, McBride WJ, Rossi EA, Sheerin A, Tejada GR, Karacay H, Sharkey RM, Horak ID, Hansen HJ, Goldenberg DM. Reagents and methods for PET using bispecific antibody pretargeting and 68Ga-radiolabeled bivalent hapten-peptide-chelate conjugates. J Nucl Med. 2004; 45:30-9.

24. Frampas E, Maurel C, Thedrez P, Remaud-Le Saëc P, Faivre-Chauvet A, Barbet J. The intraportal injection model for liver metastasis: advantages of associated bioluminescence to assess tumor growth and influences on tumor uptake of radiolabeled anti-carcinoembryonic antigen antibody. Nucl Med Commun. 2011; 32:147-54. https://doi.org/10.1097/MNM.0b013e328341b268.

25. Hammarström S. The carcinoembryonic antigen (CEA) family: structures, suggested functions and expression in normal and malignant tissues. Semin Cancer Biol. 1999; 9:67-81. https://doi.org/10.1006/scbi.1998.0119.

26. Schoffelen R, Boerman OC, Goldenberg DM, Sharkey RM, van Herpen CM, Franssen GM, McBride WJ, Chang CH, Rossi EA, van der Graaf WT, Oyen WJ. Development of an imaging-guided CEA-pretargeted radionuclide treatment of advanced colorectal cancer: first clinical results. Br J Cancer. 2013; 109:934-42. https://doi.org/10.1038/bjc.2013.376.

27. Schoffelen R, van der Graaf WT, Sharkey RM, Franssen GM, McBride WJ, Chang CH, Laverman P, Goldenberg DM, Oyen WJ, Boerman OC. Pretargeted immuno-PET of CEA-expressing intraperitoneal human colonic tumor xenografts: a new sensitive detection method. EJNMMI Res. 2012; 2:5. https://doi.org/10.1186/2191-219X-2-5.

28. Al-Nahhas A, Win Z, Szyszko T, Singh A, Nanni C, Fanti S, Rubello D. Gallium-68 PET: a new frontier in receptor cancer imaging. Anticancer Res. 2007; 27:4087-94.

29. Ambrosini V, Campana D, Tomassetti P, Fanti S. 68Ga-labelled peptides for diagnosis of gastroenteropancreatic NET. Eur J Nucl Med Mol Imaging. 2012; 39 Suppl 1:S52-60. https://doi.org/10.1007/s00259-011-1989-4.

30. Kraeber-Bodere F, Bailly C, Chérel M, Chatal JF. ImmunoPET to help stratify patients for targeted therapies and to improve drug development. Eur J Nucl Med Mol Imaging. 2016; 43:2166-8. https://doi.org/10.1007/s00259-016-3458-6.

31. Gold DV, Goldenberg DM, Karacay H, Rossi EA, Chang CH, Cardillo TM, McBride WJ, Sharkey RM. A novel bispecific, trivalent antibody construct for targeting pancreatic carcinoma. Cancer Res. 2008; 68:4819-26. https://doi.org/10.1158/0008-5472.CAN-08-0232.

32. van Rij CM, Lütje S, Frielink C, Sharkey RM, Goldenberg DM, Franssen GM, McBride WJ, Rossi EA, Oyen WJ, Boerman OC. Pretargeted immuno-PET and radioimmunotherapy of prostate cancer with an anti- TROP-2 x anti-HSG bispecific antibody. Eur J Nucl Med Mol Imaging. 2013; 40:1377-83. https://doi.org/10.1007/s00259-013-2434-7.

33. Frampas E, Maurel C, Remaud-Le Saëc P, Mauxion T, Faivre-Chauvet A, Davodeau F, Goldenberg DM, Bardiès M, Barbet J. Pretargeted radioimmunotherapy of colorectal cancer metastases: models and pharmacokinetics predict influence of the physical and radiochemical properties of the radionuclide. Eur J Nucl Med Mol Imaging. 2011; 38:2153-64. https://doi.org/10.1007/s00259-011-1903-0.


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