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. Author manuscript; available in PMC: 2012 Dec 15.
Published in final edited form as: Clin Cancer Res. 2011 Oct 28;17(24):7693–7703. doi: 10.1158/1078-0432.CCR-11-1488

Predicting IGF-1R therapy response in bone sarcomas: immuno-SPECT imaging with radiolabeled R1507

Emmy DG Fleuren 1,2, Yvonne MH Versleijen-Jonkers 1, Addy CM van de Luijtgaarden 1, Janneke DM Molkenboer-Kuenen 2, Sandra Heskamp 1,2, Melissa HS Roeffen 1, Hanneke WM van Laarhoven 1, Peter J Houghton 3, Wim JG Oyen 2, Otto C Boerman 2, Winette TA van der Graaf 1
PMCID: PMC3243810  NIHMSID: NIHMS334589  PMID: 22038993

Abstract

Purpose

To investigate whether 111In-R1507 immuno-SPECT, a novel non-invasive, in vivo screening method to visualize membranous Insulin-like Growth Factor 1 Receptor (IGF-1R) expression and accessibility, can be used to predict IGF-1R treatment (R1507) responsein bone sarcomas.

Experimental design

BALB/c nude mice were subcutaneously implanted with IGF-1R-expressing human bone sarcoma xenografts (OS-1, EW-5 and EW-8) which demonstrated high, modest or no response, respectively, to R1507, a monoclonal antibody targeting the extracellular domain of IGF-1R. An IGF-1R-negative tumor (OS-33), unresponsive to IGF-1R inhibitors, was examined as well. Mice were injected with indium-111 labeled R1507 (111In-R1507). Biodistribution and immuno-SPECT/CT imaging studies were performed 1, 3 and 7 days p.i. in mice with OS-1 and EW-5 xenografts and 3 days p.i. in mice with EW-8 and OS-33 xenografts.

Results

Biodistribution studies showed specific accumulation of 111In-R1507 in OS-1 and EW-5 xenografts (27.5±6.5%ID/g and 14.0±2.8%ID/g, 3 days p.i., respectively). Most importantly, 111In-R1507 uptake in IGF-1R-positive, but unresponsive, EW-8 xenografts (6.5±1.5%ID/g, 3 days p.i.) was similar to that of the IGF-1R-negative OS-33 tumor (5.5±0.6%ID/g, 3 days p.i.). Uptake in normal tissues was low and non-specific. Corresponding immuno-SPECT images clearly discriminated between high, modest and non-responding tumors by demonstrating a homogeneous (OS-1), heterogeneous (EW-5) or non-specific (EW-8 and OS-33)tumor uptake of 111In-R1507.

Conclusions

111In-R1507 immuno-SPECT is an excellent method to visualize membranous IGF-1R expression and target accessibility in vivo in human bone sarcoma xenografts and may serve as an independent marker to predict IGF-1R therapy (R1507) responsein bone sarcoma patients.

Keywords: IGF-1R, R1507, bone sarcoma, immuno-SPECT, imaging

Introduction

Bone sarcomas comprise a heterogeneous group of tumors originating in or near the bone, with varying phenotypes. The two most commonly diagnosed primary malignant tumors of the bone, which mainly affect children and young adults, are osteosarcoma and Ewing sarcoma (1,2). Current treatment regimens for these tumors consist of local therapy comprising surgery or radiotherapy (Ewing sarcoma) and polychemotherapy. Unfortunately, despite multimodal treatment the final outcome has not improved significantly during the last decades and side-effects of treatment are observed frequently. This disappointing situation demonstrates a compelling need for a more effective, and hopefully less toxic treatment modality to target bone sarcomas.

A new promising treatment option is blocking of Insulin-like Growth Factor-1 Receptor (IGF-1R) signaling. This transmembrane receptor tyrosine kinase plays an important regulatory role in several cancers, including osteosarcoma and Ewing sarcoma, in which increased levels of IGF-1R expression have been observed (3,4). The activity of this receptor is mainly regulated by the presence and binding of the Insulin-like Growth Factor-1 (IGF-1) ligand. In addition, the stimulatory effects of IGF-1 are influenced by circulating IGF-binding proteins (IGF-BPs) (5). Upon binding, IGF-1R undergoes rapid tyrosine phosphorylation, resulting in activation of the phosphatidylinositol 3 (PI3)/Akt kinase and extracellular signal regulated kinase (Erk) pathways. These pathways are well known for their involvement in cellular proliferation, survival, invasion and metastasis (6). In vitro and in vivo studies demonstrated that both osteosarcoma and Ewing sarcoma cells are highly dependent on IGF-1R signaling, and activation of IGF-1R by IGF-1 stimulated osteosarcoma cell growth and metastatic behavior in vivo (79). Since the peak incidence of osteosarcoma and Ewing sarcoma coincides with the burst of growth hormone (GH) and IGF-1 release during puberty, a causal relationship has been suggested (4).

Consequently, several strategies have been developed to manipulate the IGF-1R pathway. One group of promising agents are the human monoclonal IGF-1R antibodies, which have demonstrated to efficiently and effectively impair IGF-1R signaling in both preclinical and clinical studies. IGF-1R blocking resulted in marked anti-tumor activity in several bone sarcoma xenografts and significant anti-tumor activity was observed in a variety of sarcoma patients, including osteosarcoma and Ewing sarcoma patients, with little to no side effects (1016).

There are however still some limitations to the use of these anti-IGF-1R antibodies. One problem is that not every patient benefits from this novel treatment and that responses are often short-lived. Therefore, there is an urgent need for selection of patients that most probably will benefit from this novel treatment.

In vitro data have indicated that IGF-1R expression is a prerequisite to respond to anti-IGF-1R therapy (17,18). Therefore, one could base patient selection for IGF-1R targeted therapy on the presence (and accessibility) of the IGF-1 receptor. Screening for the presence of a therapeutic target is generally performed on a single historical tumor sample. However, this may be insufficient since IGF-1R expression can be heterogeneous throughout the tumor and expression levels can change in time during tumor growth, IGF-1R-targeted therapy or conventional cytotoxic treatment. In addition, patients can present with multiple tumor manifestations that demonstrate variable IGF-1R expression levels. In clinical care, however, it is unfeasible to perform multiple biopsies. Furthermore, intuitively it seems appropriate to solely screen for membranous IGF-1R expression instead of total IGF-1R levels, since IGF-1R antibody therapy solely targets receptors present on the cell membrane. Unfortunately, with current screening methods such as Western Blot (WB) and even with immunohistochemistry (IHC), it remains difficult to specifically determine membranous IGF-1R expression in bone sarcoma samples. Another problem with current screening methods is that they do not account for in vivo target accessibility. Since physiological factors may act as a barrier for adequate antibody targeting to the tumor, these factors must also be taken into account when predicting therapy response (1922).

Recently, Heskamp et al. described a novel method to non-invasively visualize membranous tumor IGF-1R expression and accessibility in vivo in a breast cancer model with an indium-111 (111In) labeled anti-IGF-1R antibody (R1507) and immuno-SPECT (23). However, although membranous IGF-1R expression was successfully demonstrated in this model, it is still unclear whether membranous IGF-1R expression and accessibility is indeed an independent predictive response marker to IGF-1R mediated therapy as other components of the IGF-1R pathway, including the presence of IGF-1 and IGF-BPs, have been implicated in predicting IGF-1R therapy response as well (24,25). The aim of the present study was to investigate whether membranous tumor IGF-1R expression and accessibility can be used to independently predict IGF-1R therapy response. To accomplish this, we examined the in vivo distribution of 111In-R1507 with immuno-SPECT in several bone sarcoma xenografts, including two osteosarcoma (OS-1 and OS-33) and two Ewing sarcoma xenografts (EW-5 and EW-8). The IGF-1R-positive OS-1 and IGF-1R-negative OS-33 xenografts previously demonstrated high and no response to R1507 therapy, respectively (11). Interestingly, the IGF-1R-positive EW-5 and EW-8 xenografts demonstrated modest and no response to R1507 therapy as shown in this manuscript (Supplemental Figure 1). Since this selection includes a wide range of responses to R1507 therapy, independent ofIGF-1R expression as assessed by conventional IHC or WB, these are excellent models to examine if 111In-R1507 immuno-SPECT is suitable for predicting R1507 therapy response.

Material and methods

Mouse models

For all experiments, female BALB/c nude mice (6–8 weeks old) were used. Mice were housed under clean, non-sterile standard conditions in filter-topped cages (5–6 mice per cage), with free access to standard animal chow and water. Osteosarcoma and Ewing sarcoma xenografts (OS-1, OS-33, EW-5 and EW-8) were generously provided by the Pediatric Preclinical Testing Program (PPTP) (Columbus, OH). During all experiments, xenografts were maintained by serial in vivo passages in 5 mice per xenograft (donor mice). For biodistribution and imaging studies, xenografts were harvested from donor mice and 4×4×4 mm tumor sections were subcutaneously (s.c.) implanted in the right or left flank of mice from the experimental groups. Experiments were performed when tumors weighed 0.1–0.3 g. All experiments were approved by and carried out in accordance with the guidelines of the institutional Animal Welfare Committee of the Radboud University Nijmegen.

Immunohistochemistry

All tumor xenografts were stained immunohistochemically to determine CD34, Ki-67, HIF-1αand IGF-1R expression. Xenografts were fixed in 4% formalin and subsequently embedded in paraffin. Tumor sections (4 μm) were deparaffinized in xylol and rehydrated through a graded ethanol into water series. Antigen retrieval was performed by microwave heating of slides in a 10 mM sodium citrate buffer, pH 6 for 10 (Ki-67, HIF-1α and IGF-1R) or 20 (CD34) min at 100 °C. Endogenous peroxidase activity was blocked with 3% H2O2 for 10 min at room temperature (RT), and nonspecific binding was prevented by blocking with 20% normal goat serum or normal rabbit serum in phosphate-buffered saline (PBS) for 30 min at RT. Subsequently, sections were incubated with monoclonal rabbit anti-Ki-67 (1:200, Neomarkers), polyclonal rabbit anti-HIF-1α (1:400, Abcam), polyclonal rabbit anti-IGF-1Rβ (1:150, Cell Signaling Technology) or monoclonal rat anti-CD34 (1:20, Monosan) overnight at 4°C. Substitution of the primary antibody by PBS served as a negative control. Sections were then incubated with a goat-anti-rabbit or rabbit-anti-rat biotinylated secondary antibody (1:200, Vector Laboratories) for 30 min at RT. Finally, avidin-biotin-enzyme complex (1:50, Vector Laboratories) was added for 30 min at RT, followed by a 5 min incubation at RT in 3,3′-diaminobenzidine to visualize proteinexpression. Slides were counterstained with haematoxylin, dehydrated and coverslipped.

Autoradiography

Several EW-5 tumors were subjected to autoradiography to visualize intratumoral distribution of 111In-R1507. After dissection, EW-5 xenografts were fixed in 4% formalin, embedded in paraffin and 10 μm tumor sections were cut. Sections were exposed to a phosphor imaging plate, incubated for approximately 1 min and subsequently the plate was scanned in the PhosphorImager (Fuji, BAS-1800 II).

Radiolabeling

R1507, a fully human monoclonal antibody directed against an epitope on the extracellular domain of the human IGF-1R, was obtained from Roche Diagnostics (Mannheim, Germany) and radiolabeled with 111In (23). Prior to the 111In-labeling, R1507 was conjugated with isothiocyanatobenzyl–diethylenetriaminepentaacetic acid (ITC-DTPA; Macrocyclis) in 0.1 M NaHCO3, pH 9.5, using a 14-fold molar excess of ITC-DTPA for 1 h at RT. Unconjugated ITC-DTPA was removed by dialysis against 0.25 M ammonium acetate buffer, pH 5.4. The R1507-DTPA conjugate was labeled with 111In (Covidien BV, Petten, The Netherlands) in 0.1 M 2-(N-morpholino) ethanesulfonic acid buffer, pH 5.4, at RT for 30 min. For biodistribution studies, the specific activity was 0.2 MBq/μg, and 11.1 MBq/μg for immuno-SPECT studies. Labeling efficiency was determined by instant thin-layer chromatography (ITLC) on TEC Control chromatography strips (Biodex), with 0.1 M citrate buffer, pH 6.0, as the mobile phase. If labeling efficiency was below 95%, the reaction mixture was purified on a PD-10 column (GE Healthcare, Buckinghamshire, UK) eluted with PBS, 0.5% bovine serum albumin (BSA). In all experiments, radiochemical purity of 111In-R1507 exceeded 98%.

Radioiodination of R1507

R1507 was radiolabeled with iodine-125 (125I), as described previously (23). R1507 was radioiodinated with 125I (PerkinElmer, Boston, USA) to a specific activity of 0.4 MBq/μgin a IODOGEN–coated vial (Thermo Scientific (Pierce), Rockford, USA) in 50 mM phosphate buffer, pH 7.2, at RT for 15 min. The reaction mixture was purified on a PD-10 column, eluted with PBS, 0.5% BSA. The radiochemical purity of 125I-R1507 exceeded 99%.

In vitro characteristics of 111In-R1507 and 125I-R1507

The immunoreactive fractions of 111In-R1507 and 125I-R1507 as determined by the Lindmo assay were 99% and 88%, respectively, as previously described by Heskamp et al (23)(results not shown).

Biodistribution studies

Tumor-bearing (OS-1 and EW-5) mice were intravenously injected with a mixture of 125I- and 111In-labeled R1507 (0.2 MBq each). The total injected protein dose was adjusted to either 3 μg (optimal dose; dose finding experiments in Supplemental Figure 2) or 300 μg (control to block the IGF-1R in vivo) per mouse by the addition of unlabeled R1507 (23). At day 1, 3 and 7 (n=6 per group) post injection, mice were euthanized using O2/CO2-asphyxiation and relevant tissues such as tumor, blood, muscle, femur, lung, liver, kidney, spleen, duodenum and pancreas were dissected, blotted dry and weighed. Activity was measured in a shielded 3-inch-well-type gamma-counter (Wizard, Pharmacia-LKB, Sweden). To correct for physical decay and calculate uptake of the radiolabeled antibody in each sample as a fraction of the injected dose, aliquots of the injected dose were counted simultaneously. The results are expressed as percentage of the injected dose per gram (% ID/g).

Immuno-SPECT

For immuno-SPECT, OS-1 and EW-5 tumor-bearing mice received an intravenous injection of 3 μg 111In-labeled R1507 (20 MBq; n=6). At 1 and 3 days post injection, mice were anesthetized using isoflurane/O2 inhalation and scanned for 0.5–1 h using the U-SPECT-II gamma camera (MILabs, Utrecht, The Netherlands) and the 1.0 mm diameter pinhole rat collimator tube. At day 7, mice were euthanized, scanned for 2 h and 111In-R1507-uptake was determined ex vivo, as described above. Mice bearing OS-33, EW-8 and OS-1/OS-33 tumors were injected with 3 μg 111In-labeled R1507 as well (20 MBq; n=4 per group), and scanned on day 3 post injection followed by dissection of relevant tissues. An additional group of OS-33 tumor-bearing mice (n=6) was co-injected with 300 μg unlabeled R1507, scanned on day 3 and dissected.

Scans were reconstructed with MILabs reconstruction software, using an ordered-subset expectation maximization algorithm, with a voxel size of 0.375 mm. Representative 3D images are displayed. Tumor-to-background ratios are represented by tumor-to-liver ratios as determined from the ex vivo biodistribution studies.

CT-scan

CT-scans were performed directly after immuno-SPECT imaging. Mice were scanned for 8 min using the U-CT scanner (Milabs, Utrecht, the Netherlands), and images were reconstructed using MILabs reconstruction software. To determine the exact location of 111In activity, CT- and immuno-SPECT scans were co-registered. 3D images were created using Siemens Inveon Research Workplace software (Siemens, USA).

Results

Characterization of bone sarcoma xenografts

Since target expression and target accessibility are both important factors for predicting therapy response, all tumors were stained immunohistochemically for IGF-1R and CD34 expression. Figure 1A shows that the two osteosarcoma xenografts consist of multiple tumor cells surrounded by an extracellular matrix and several blood vessels, without any necrotic areas. The OS-33 tumor demonstrated an even more apparent tumor vasculature and extracellular matrix component as compared to the OS-1 tumor. In contrast, the two Ewing sarcoma models demonstrated virtually no extracellular matrix and were characterized by multiple necrotic lesions surrounded by hypoxic borders, as demonstrated by Ki-67 and HIF-1α staining patterns. Blood vessels were located in the centre of viable cell areas in Ewing tumors. IGF-1R expression was abundantly present in the cytoplasm of OS-1, EW-5 and EW-8 tumors, and some membranous staining was detected as well. In EW-5 and EW-8 xenografts, IGF-1R expression tended to be higher at hypoxic areas on the border of necrotic lesions compared to IGF-1R expression in more vital areas close to blood vessels. The OS-33 tumor was IGF-1R negative (Figure 1B).

Figure 1. Characterization of bone sarcoma xenografts.

Figure 1

A. Representative images of HE-staining, CD34, Ki-67 and HIF-1αexpression in OS-1, OS-33, EW-5 and EW-8 xenografts. HIF-1α staining is cytoplasmic in normoxia, and nuclear in response to hypoxia. Inset demonstrates ×400 magnification of boxed area to visualize HIF-1α expression in more detail (note nuclear staining in EW-5 and EW-8 tumors compared to predominantly cytoplasmic staining in OS-1 and OS-33 tumors). Three different xenografts from each tumor type were used for each staining; representative images are shown. All images are ×50 magnification unless stated otherwise, haematoxylin counterstain.

B. Representative images demonstrating IGF-1R expression levels in OS-1, OS-33, EW-5 and EW-8 xenografts. Localization of necrotic and hypoxic areas was derived from Ki-67 and HIF-1α staining patterns (Figure 1A). Three different xenografts from each tumor type were submitted to IHC, representative images are shown. All images are ×400 magnification, haematoxylin counterstain.

Arrows indicate membranous IGF-1R expression in IGF-1R positive xenografts.

Biodistribution and pharmacodynamics of radiolabeled R1507 in mice with OS-1 and EW-5 xenografts

The biodistribution of 111In-R1507 and 125I-R1507 in nude mice bearing s.c. OS-1 and EW-5 tumor xenografts was determined 1, 3 and 7 days post injection, and the results are summarized in Figure 2. From day 1 onwards, 111In-R1507 efficiently and specifically accumulated in the OS-1 tumor (15.7±4.0 %ID/g), and uptake levels improved even further on day 3 and 7 (27.5±6.5 %ID/g and 25.8±5.8 %ID/g, respectively). In EW-5 tumors, 111In-R1507 demonstrated the same pattern concerning tumor accumulation over time, although tumor uptake levels were less than observed in OS-1 tumors. 111In-R1507 uptake levels in EW-5 tumors on day 1, 3 and 7 were 8.4±1.4 %ID/g, 14.0±2.8 %ID/g and 15.2±3.7 %ID/g, respectively. Co-administration of an excess unlabeled R1507 (300 μg) resulted in both tumors in a significant decrease in tumor uptake at all time points, indicating IGF-1R-mediated, specific accumulation of the antibody in the tumor. In normal tissues, uptake of 111In-R1507 was generally low and nonspecific, since uptake levels were similar in the presence and absence of an excess unlabeled R1507. Only blood and well-perfused organs demonstrated some uptake in the OS-1 and EW-5 models at day 1, but these levels all decreased gradually over time as a result of blood clearance. Consequently, highest tumor-to-blood and tumor-to-liver ratios were observed at day 7 in both OS-1 (4.5±1.4 and 8.1±2.5, respectively) and EW-5 models (2.0±0.3and 4.8±0.9, respectively). In contrast, tumor accumulation of 125I-R1507 remained relatively low in both xenografts. In OS-1 tumors, highest uptake was seen at day 1 (6.9±1.5 %ID/g), followed by a decrease in accumulation on day 3 and 7 (6.6±2.5 %ID/g and 3.1±0.8 %ID/g, respectively). The same pattern was observed in EW-5 tumors, with relatively high uptake on day 1 (3.9±0.5 %ID/g) and a subsequent decrease in accumulation on day 3 and 7 (3.8±0.7 %ID/g and 2.2±0.5 %ID/g, respectively). In both bone sarcomas, tumor uptake of 125I-R1507 was significantly lower compared to 111In-R1507 at all time points (p<0.05). Since the 125I-label washes out of the cell after receptor internalization, while 111In does not, this indicates rapid internalization and degradation of the receptor-antibody complex (23,26). Tumor-to-blood and tumor-to-liver ratios of 125I-R1507 in OS-1 tumors were highest at day 7 (1.2±0.6) and day 1 (3.0±0.7), respectively. In EW-5 tumors, tumor-to-blood and tumor-to-liver ratios of 125I-R1507 were both highest at day 7, which were 0.4±0.1 and 1.7±0.4, respectively. Since 111In-R1507 clearly demonstrated superior tumor targeting properties compared to 125I-R1507 in both osteosarcoma and Ewing sarcoma models, we used 111In-R1507 in the immuno-SPECT studies.

Figure 2. Biodistribution and pharmacodynamics of radiolabeled R1507 in mice with OS-1 and EW-5 xenografts.

Figure 2

Mice bearing OS-1 (A) or EW-5 (B) xenografts were injected with a mixture of 111In-and 125I-labeled R1507 (0.2 MBq each). The total injected protein dose was adjusted to either 3 μg (optimal dose) or 300 μg (control to block the IGF-1R in vivo) per mouse by the addition of unlabeled R1507. Mice were dissected at day 1, day 3 or day 7 post injection.

Values are presented as mean %ID/g ± SD (n=6 per group).

*p: <0.05.

Immuno-SPECT/CT of 111In-R1507 in mice with OS-1 and EW-5 xenografts

Membranous IGF-1R expression was visualized in OS-1 and EW-5 tumors with 111In-R1507 immuno-SPECT. CT-scans were acquired to visualize animal anatomy. Representative immuno-SPECT/CT images acquired at day 1, 3 and 7 post injection of 111In-R1507 in an OS-1 tumor are shown in Figure 3A. From day 1 onwards, the subcutaneous OS-1 tumor was clearly visualized and 111In-R1507 was distributed homogeneously throughout the whole tumor. Tumor-to-background contrast improved in time due to clearance of 111In-R1507 from the blood. Virtually no uptake was seen in normal tissues on day 3 and 7. After the final scan on day 7, ex vivo biodistribution revealed a tumor-uptake of 18.6 %ID/g and a tumor-to-blood ratio of 4.7. Uptake in other organs remained low, with a tumor-to-liver ratio of 7.9.

Figure 3. Immuno-SPECT/CT of 111In-R1507in mice with bone sarcomaxenografts.

Figure 3

A -B. Representative CT- and immuno-SPECT/CT-scans of mice bearing OS-1 (A) or EW-5 (B) xenografts at day 1, 3 or 7 post injection (3 μg 111In-R1507, 20 MBq). Arrows indicate tumor localization.

C. Representative CT- and immuno-SPECT/CT-scans of mice bearing OS-33, EW-8 or OS-1/OS-33 (OS-1 white arrow; OS-33 red arrow) xenografts at day 3 post injection (3 μg 111In-R1507, 20 MBq). Arrows indicate tumor localization.

D -E. Representative slides demonstrate 111In-activity (D) and IGF-1R expression levels (E) in a EW-5 xenograft at day 7 p.i. (20 MBq). Slides are directly adjacent to each other. Six EW-5 xenografts were subjected to IHC and autoradiography; a representative tumor is shown. Image is ×100 magnification, haematoxylin counterstain.

Interestingly, the EW-5 tumors demonstrated quite a different uptake pattern as shown in Figure 3B. On day 1, only modest 111In-R1507 uptake was demonstrated which was confined to a few small areas of the tumor. Despite an increase in tumor uptake on day 3 and 7, 111In-R1507 distribution remained very heterogeneous throughout all EW-5 tumors at all time points. Ex vivo biodistribution of the displayed tumor on day 7 demonstrated a tumor-uptake of 9.5 %ID/g and a tumor-to-blood ratio of 2.1. Uptake in other organs remained low, with a tumor-to-liver ratio of 3.0.

To investigate whether the heterogeneous distribution pattern of 111In-R1507 was the result of loss of IGF-1R expression in certain areas of the tumor, tumors were subjected to IHC after dissection. To directly compare 111In-R1507 tumor uptake with IHC, autoradiography was performed as well on slides directly adjacent to those used for IHC to visualize the regions of 111In-R1507 uptake in those specific tumor slides. In the EW-5 tumor, autoradiography demonstrated a heterogeneous uptake pattern of 111In-R1507. However, IHC revealed a homogeneous distribution of IGF-1R expression throughout the EW-5 tumor samples, indicating that loss of IGF-1R expression was not the cause of the heterogeneous uptake pattern (Figure 3D and E).

Immuno-SPECT/CT of 111In-R1507in mice with OS-33 and EW-8 xenografts

To demonstrate the specificity of the 111In-R1507 antibody in vivo, mice with IGF-1R-negative OS-33 osteosarcoma xenografts were subjected to immuno-SPECT/CT as well. Mice bearing OS-33 tumors were imaged at day 3 post injection, demonstrating little to no uptake of 111In-R1507 in the tumor, as shown in Figure 3C. Uptake in the OS-33 tumor was 5.5±0.6 %ID/g, and tumor-to-blood and tumor-to-liver ratios were 1.2±0.4 and 1.4±0.5, respectively (Figure 4). These low levels of tumor accumulation were the result of nonspecific localization, since administration of an excess unlabeled R1507 (300 μg) resulted in similar uptake levels (5.9±0.4 %ID/g).

Figure 4. Biodistribution of 111In-R1507 in mice with OS-33 xenografts.

Figure 4

Mice were injected with 3 μg 111In-R1507 (n=4; 20 MBq) or co-injected with 300 μg unlabeled R1507 (n=6; 20 MBq) and were dissected at day 3 post injection. Values are presented as mean %ID/g ± SD.

For additional specificity testing, EW-8 xenografts were subjected to immuno-SPECT/CT and imaged at day 3 post injection as well. These tumors were selected since EW-8 xenografts demonstrated apparent IGF-1R expression on IHC and/or WB, but lack response to IGF-1R antibody-mediated therapy. Figure 3C clearly demonstrates that there is virtually no tumor-uptake of 111In-R1507 in EW-8 tumors on immuno-SPECT scans, similar to the OS-33 tumors. Ex vivo biodistribution supported these findings by demonstrating a tumor-uptake of 6.5±1.5 %ID/g and a tumor-to-blood ratio of 1.4±0.2. Uptake in other organs was low, with a tumor-to-liver ratio of 1.5±0.3. The EW-8 tumors used in the imaging experiments were still IGF-1R positive on IHC. Table 1 summarizes tumor uptake and distribution of 111In-R1507 in all bone sarcoma xenografts used in this study.

Table 1.

111In-R1507 tumor uptake and distribution in bone sarcoma xenografts

Xenograft IGF-1R status Response to R1507 [Kolb et al. (11)and Supplemental Figure 1] Tumor 111In-R1507 uptake on day 3 p.i. 111In-R1507 distribution on immuno-SPECT
OS-1 positive high 27.5 ± 6.5 %ID/g*,** homogeneous
EW-5 positive intermediate 14.0 ± 2.8 %ID/g*, ** heterogeneous
EW-8 positive low 6.5 ± 1.5 %ID/g* non-specific
OS-33 negative low 5.5 ± 0.6 %ID/g* non-specific
*

R1507 responsive tumors (OS-1 and EW-5) differed significantly from non-responsive tumors (EW-8 and OS-33) concerning 111In-R1507 tumor uptake (p<0.05)

**

R1507 high(OS-1) and intermediate (EW-5) responsive tumors also differed significantly from each other concerning 111In-R1507 tumor uptake (p<0.05)

Immuno-SPECT/CT of 111In-R1507inmice with OS-1/OS-33 double xenografts

Since patients can present with multiple tumor manifestations demonstrating variable IGF-1R expression levels, we checked whether 111In-R1507 was able to visualize IGF-1R expression accurately in mice with multiple lesions. The IGF-1R-positive OS-1 xenograft was implanted in the right flank, while the IGF-1R-negative OS-33 xenograft was implanted in the left flank. Mice were imaged 3 days post injection of the radiolabeled antibody. Figure 3C clearlydemonstrates that 111In-R1507 is able to distinguish between IGF-1R-positive (OS-1) and IGF-1R-negative (OS-33) xenografts. Uptake in the OS-1 tumor was 17.7 %ID/g, while the uptake in the OS-33 tumor was 5.7 %ID/g. 111In-R1507 uptake in normal tissues remained low, with an uptake of 6.2 %ID/g and 4.3 %ID/g in blood and liver, respectively.

Discussion

In this study, we demonstrated for the first time in various bone sarcoma models that in vivo membranous IGF-1R expression levels and target accessibility, as assessed by 111In-R1507 immuno-SPECT, positively correlate to the degree of response to the IGF-1R inhibitor R1507. The IGF-1R-positive and highly IGF-1R therapy responsive OS-1 xenograft demonstrated specific accumulation of 111In-R1507 throughout the whole tumor. Interestingly, the EW-5 xenograft which is also IGF-1R positive, but only modestly responsive to anti-IGF-1R therapy demonstrated a very heterogeneous tumor distribution pattern of 111In-R1507. Consequently, 111In-R1507 tumor uptake in EW-5 tumors was significantly lower than observed in OS-1 tumors. More importantly, the IGF-1R-positive EW-8 tumor that is unresponsive to anti-IGF-1R therapy demonstrated significantly lower tumor uptake of 111In-R1507 than OS-1 and EW-5 tumors. Moreover, 111In-R1507 uptake levels in the EW-8 tumors were comparable to those of the IGF-1R-negative and non-responsive OS-33 xenografts. Altogether, these findings strongly indicate that 111In-R1507 immuno-SPECT may be used as an independent method to predict IGF-1R therapy response.

Although we were able to correlate 111In-R1507 immuno-SPECT directly to the degree of R1507 therapy response, it remains a challenge to extrapolate these results to response to other IGF-1R inhibitors. At present, various IGF-1R inhibitors have been tested upon the bone sarcoma xenografts used in this study. Although in general similar response patterns are seen as with R1507, some discrepancies exist. EW-8 tumors for instance are not as consistently resistant to IGF-1R mediated therapy as OS-33 tumors, since low anti-tumor responses were observed during BMS-754807 therapy (27). This may be explained by the fact that IGF-1R is present in EW-8 tumors, in contrast to the completely IGF-1R-negative OS-33 xenograft. Although not always easy to target, compounds that differ structurally from R1507 may show superior tumor penetrating capacities resulting in improved receptor targeting. Another possible explanation for improved targeting with BMS-754807 is that this compound inhibits insulin receptor (IR) signaling as well (27). Since evidence is growing towards an oncogenic role for IR signaling in (bone) cancer, and IR is abundantly expressed in Ewing sarcomas, additional IR inhibition may result in superior anti-tumor effects compared to IGF-1R targeting alone (28,29). In addition, OS-1 has shown an intermediate response to the IGF-1R inhibitors IMC-A12 and BMS-754807, while EW-5 xenografts demonstrated a high response to SCH-717454 (27,30,31). Nevertheless, although these discrepancies exist, 111In-R1507 immuno-SPECT is still able to separate the major responders (high and moderate response) from the virtually non-responders (low to no response) concerning IGF-1R mediated therapy. Only for R1507 therapy, 111In-R1507 immuno-SPECT is able to give more detailed information concerning the degree of tumor response.

In this study, we focused on membranous IGF-1R expression as a marker for predicting IGF-1R therapy response. Although previous studies reported that there is no straight forward correlation between IGF-1R expression levels and response to IGF-1Rtherapy, these findings were based on total IGF-1R expression levels as determined by WB (11,12). Since IGF-1R therapy solely targets IGF-1 receptors present on the cell membrane, it would be more appropriate to specifically screen for membranous IGF-1R expressionas demonstrated in this study.

With the imaging technique described in this paper, we tackle several limitations that currently exist in determining (membranous) IGF-1R expression levels in a tumor. First of all, with commercially available antibodies directed against IGF-1R, it remains difficult to determine the level of membrane-bound receptors with IHC on sarcoma samples. High levels of cytoplasmic expression are frequently observed in human bone sarcoma biopsies and could cause difficulties to detect specific membranous expression. Even if membranous IGF-1R expression could clearly be demonstrated by IHC, some shortcomings exist that make this technique unsuitable for the prediction of response to IGF-1R treatment. One problem is that bone sarcomas are characterized by various cell populations. Osteosarcomas for instance consist of a mixture of some of the following cell types: osteoblasts, osteoclasts, fibroblast-like cells, chondroblast-like cells, extracellular matrix cells, endothelial cells and infiltrated immune cells such as macrophages. IGF-1R staining of a section of one tumor sample does therefore not necessarily represent IGF-1R expression levels in the whole tumor. Furthermore, metastatic bone sarcoma patients often present with multiple lesions demonstrating variable target expression levels. It is however unfeasible to perform multiple biopsies.

Another major problem with current screening methods is that they may show IGF-1R expression levels, but fail to demonstrate in vivo target accessibility. As is known the effect of antibody therapy not only depends on the presence of the receptor on tumor cells, but also on tumor physiology. Tumor interstitial pressure, vascular permeability, (micro)vessel density, necrosis and tumor perfusion are important factors that contribute to whether or not an antibody reaches its target (1921,32). Although immunostaining can give some information concerning these factors, like CD34 staining for tumor vasculature, this only represents a small region of the tumor. Furthermore, information concerning tumor interstitial pressure and tumor perfusion cannot be obtained by IHC. In addition, in osteosarcomas the presence and amount of extracellular matrix is also an important factor to take into account (22). If tumor cells are surrounded by a calcified, solid bone matrix, these tumor cells may be less accessible for the antibody. The large necrotic areas frequently observed in Ewing sarcomas may severely impede antibody diffusion as well. In this study, we specifically chose to implant human osteosarcoma and Ewing sarcoma xenografts consisting of several cell types including extracellular matrix components instead of injecting cultured bone sarcoma cells, to mimic a human bone tumor as closely as possible. In the in vivo osteosarcoma and Ewing sarcoma xenograft models, the physiological factors are taken into account and immuno-SPECT demonstrates whether the antibody is able to target the IGF-1 receptor.

The importance of screening for target accessibility instead of merely screening for target expression in bone sarcomas was demonstrated in our experiments. Although the OS-1 tumors predominantly demonstrated a homogeneous tumor distribution of 111In-R1507, EW-5 tumors showed a very heterogeneous uptake pattern of 111In-R1507 on immuno-SPECT scan. IHC revealed that this was not due to loss of IGF-1R expression. Instead, 111In-R1507 was not able to reach or bind to receptors in certain areas of these tumors, possibly due to high interstitial fluid pressure and/or low vascular permeability. This may very well explain why in previous studies the response of EW-5 tumors to IGF-1R antibody therapy was only modest, despite marked IGF-1R expression on IHC and WB. More evidence concerning the importance of target accessibility was found in the distribution of 111In-R1507 throughout EW-8 tumors. Despite being IGF-1R positive on IHC and WB, EW-8 tumors demonstrated virtually no uptake of 111In-R1507, which correlates directly to the lack of response to R1507. These findings emphasize that not only target expression, but also target accessibility is an important factor to predict therapy response. When a bone sarcoma patient demonstrates 111In-R1507 only in a small region of the tumor, IGF-1R monotherapy may not be sufficient. Interestingly, IGF-1R therapy combined with rapamycin already proved to be very effective in both osteosarcoma and Ewing sarcoma xenografts. In EW-5 xenografts, the combination of Figitumumab and rapamycin demonstrated even supra-additive effects (12). In addition, inhibition of IGF-1R may significantly potentiate the antitumor activity of conventional chemotherapeutic drugs (33).

One major problem concerning IGF-1R targeted therapy is that tumors have the potential to develop resistance to IGF-1R antibodies. The mechanisms underlying this phenomenon are currently under investigation, and in vitro studies have previously shown that low expression levels of IGF-1R were associated with (de novo) resistance (24). A recent study further investigated mechanisms of acquired resistance using a small-molecule tyrosine kinase inhibitor of the IGF-1R/IR family kinases, and demonstrated chronic loss of IGF-1R expression during treatment. This decrease in IGF-1R expression can result in a decreased dependency on the IGF-1R pathway for growth. As a result, other receptors, such as Platelet-Derived Growth Factor-Receptor α (PDGFRα) or AXL, are upregulated and cells subsequently rely on downstream signaling of these receptors (34). These findings indicate that it is not only important to screen for IGF-1R expression levels prior to IGF-1R therapy, but also to monitor these levels during IGF-1R therapy. This illustrates that imaging IGF-1R expression during IGF-1R antibody targeted therapy is warranted. It must, however, be noted that the IGF-1R antibody used for imaging needs to be directed against another, non-competitive epitope of the IGF-1R than the IGF-1R antibody used for treatment to avoid saturation of the receptor with therapeutic IGF-1R antibody, precluding IGF-1R imaging. In this way, receptor downregulation can be monitored and may predict resistance due to chronic loss of IGF-1R. Since the imaging method described in this paper is non-invasive, it can be safely used to monitor treatment response at multipletime points.

In this study, we used the fully human monoclonal antibody R1507 directed against the human IGF-1 receptor. Since R1507 does not cross-react with murine IGF-1R, the high tumor-to-background ratios seen in our models may be lower in patients because radiolabeled R1507 will also recognize IGF-1R expressed in normal human tissues, such as muscle, cartilage and bone (35). However, a recent pediatric phase I study using R1507 demonstrated that even in young children (aged ≥2 and <18 years) drug-related toxicity was minimal (10). Therefore, we believe that IGF-1R expression levels expressed in normal tissues would not dramatically interfere with immuno-SPECT imaging of tumor IGF-1R expression. This however remains to be investigated.

In summary, we have shown that 111In-R1507 immuno-SPECT imaging is an excellent method to visualize membranous IGF-1R expression and target accessibility in vivo in human bone sarcoma xenografts. More importantly, we demonstrated a positive correlation between 111In-R1507 immuno-SPECT and the degree of R1507 therapy response, while IGF-1R expression of the same tumors on IHC or WB did not show such a correlation. Although anti-tumor responses of the used bone sarcoma xenografts are not always as consistent when using other IGF-1R inhibitors, 111In-R1507 immuno-SPECT is able to distinguish major responders (high and moderate response) from the virtually non-responders (low to no response). These findings confirm that this novel technique is superior to currently used conventional screening methods in determining IGF-1R expression levels and predicting response to IGF-1R therapy. We therefore would plea for introducing 111In-R1507 immuno-SPECT for the indication and monitoring of IGF-1R targeted therapies in bone sarcoma patients.

Supplementary Material

1

Translationalrelevance.

The Insulin-like Growth Factor 1 Receptor (IGF-1R) is a new promising oncological target. Unfortunately, not every patient benefits from anti-IGF-1R treatment and responses are often short-lived. This discrepancy underscores the need for a predictive biomarker to select patients susceptible to this treatment and to monitor treatment response. In this study, we investigated whether 111In-R1507 immuno-SPECT, a novel non-invasive, in vivo screening method to visualize membranous IGF-1R expression and accessibility, can be used to predict treatment response to the IGF-1R inhibitor R1507 in bone sarcomas. This technique could clearly distinguish between high, modest and non-responsive bone sarcoma xenografts while conventional techniques could not. 111In-R1507 immuno-SPECT can be performed repetitively to assess IGF-1R modulation during therapy. Moreover, these total body scans enable the visualization of heterogeneous IGF-1R expression and accessibility in various metastases at the same time. This new technique may therefore enable the selection of patients susceptible to IGF-1R targeted therapy.

Acknowledgments

Grant support: This research was supported by Stichting Vanderes

We thank the PPTP for generously providing the bone sarcoma xenografts and Roche Diagnostics for providing R1507. Debby Smits, Bianca Lemmers-van de Weem and Kitty Lemmens-Hermans provided technical assistance. This study was financially supported by Stichting Vanderes.Part of the work was supported through NIH funds, a USPHS award from the National Cancer Institute (USA; CA23099), a SARC grant and a personal research grant of the Dutch Research Council (016.096.010).

Footnotes

Potential conflicts of interest: No potential conflicts of interest were disclosed

Reference List

  • 1.Balamuth NJ, Womer RB. Ewing’s sarcoma. Lancet Oncology. 2010;11:184–92. doi: 10.1016/S1470-2045(09)70286-4. [DOI] [PubMed] [Google Scholar]
  • 2.Bielack S, Carrle D, Casali PG. Osteosarcoma: ESMO Clinical Recommendations for diagnosis, treatment and follow-up. Annals of Oncology. 2009;20:137–9. doi: 10.1093/annonc/mdp154. [DOI] [PubMed] [Google Scholar]
  • 3.Burrow S, Andrulis IL, Pollak M, Bell RS. Expression of insulin-like growth factor receptor, IGF-1, and IGF-2 in primary and metastatic osteosarcoma. Journal of Surgical Oncology. 1998;69:21–7. doi: 10.1002/(sici)1096-9098(199809)69:1<21::aid-jso5>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
  • 4.Rikhof B, de JS, Suurmeijer AJ, Meijer C, van der Graaf WT. The insulin-like growth factor system and sarcomas. J Pathol. 2009;217:469–82. doi: 10.1002/path.2499. [DOI] [PubMed] [Google Scholar]
  • 5.Firth SM, Baxter RC. Cellular actions of the insulin-like growth factor binding proteins. Endocr Rev. 2002;23:824–54. doi: 10.1210/er.2001-0033. [DOI] [PubMed] [Google Scholar]
  • 6.Pollak M. Insulin and insulin-like growth factor signalling in neoplasia. Nature Reviews Cancer. 2008;8:915–28. doi: 10.1038/nrc2536. [DOI] [PubMed] [Google Scholar]
  • 7.Kappel CC, Velez-Yanguas MC, Hirschfeld S, Helman LJ. Human osteosarcoma cell lines are dependent on insulin-like growth factor I for in vitro growth. Cancer Res. 1994;54:2803–7. [PubMed] [Google Scholar]
  • 8.Riggi N, Cironi L, Provero P, Suva ML, Kaloulis K, Garcia-Echeverria C, et al. Development of Ewing’s sarcoma from primary bone marrow-derived mesenchymal progenitor cells. Cancer Res. 2005;65:11459–68. doi: 10.1158/0008-5472.CAN-05-1696. [DOI] [PubMed] [Google Scholar]
  • 9.Pollak M, Sem AW, Richard M, Tetenes E, Bell R. Inhibition of metastatic behavior of murine osteosarcoma by hypophysectomy. J Natl Cancer Inst. 1992;84:966–71. doi: 10.1093/jnci/84.12.966. [DOI] [PubMed] [Google Scholar]
  • 10.Bagatell R, Herzog CE, Trippett TM, Grippo JF, Cirrincione-Dall G, Fox E, et al. Pharmacokinetically guided phase 1 trial of the IGF-1 receptor antagonist RG1507 in children with recurrent or refractory solid tumors. Clin Cancer Res. 2011;17:611–9. doi: 10.1158/1078-0432.CCR-10-1731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kolb EA, Kamara D, Zhang W, Lin J, Hingorani P, Baker L, et al. R1507, a fully human monoclonal antibody targeting IGF-1R, is effective alone and in combination with rapamycin in inhibiting growth of osteosarcoma xenografts. Pediatr Blood Cancer. 2010;55:67–75. doi: 10.1002/pbc.22479. [DOI] [PubMed] [Google Scholar]
  • 12.Kurmasheva RT, Dudkin L, Billups C, Debelenko LV, Morton CL, Houghton PJ. The insulin-like growth factor-1 receptor-targeting antibody, CP-751,871, suppresses tumor-derived VEGF and synergizes with rapamycin in models of childhood sarcoma. Cancer Res. 2009;69:7662–71. doi: 10.1158/0008-5472.CAN-09-1693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kurzrock R, Patnaik A, Aisner J, Warren T, Leong S, Benjamin R, et al. A phase I study of weekly R1507, a human monoclonal antibody insulin-like growth factor-I receptor antagonist, in patients with advanced solid tumors. Clin Cancer Res. 2010;16:2458–65. doi: 10.1158/1078-0432.CCR-09-3220. [DOI] [PubMed] [Google Scholar]
  • 14.Olmos D, Tan DS, Jones RL, Judson IR. Biological rationale and current clinical experience with anti-insulin-like growth factor 1 receptor monoclonal antibodies in treating sarcoma: twenty years from the bench to the bedside. Cancer J. 2010;16:183–94. doi: 10.1097/PPO.0b013e3181dbebf9. [DOI] [PubMed] [Google Scholar]
  • 15.Olmos D, Postel-Vinay S, Molife LR, Okuno SH, Schuetze SM, Paccagnella ML, et al. Safety, pharmacokinetics, and preliminary activity of the anti-IGF-1R antibody figitumumab (CP-751,871) in patients with sarcoma and Ewing’s sarcoma: a phase 1 expansion cohort study. Lancet Oncol. 2010;11:129–35. doi: 10.1016/S1470-2045(09)70354-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zha JP, Lackner MR. Targeting the Insulin-like Growth Factor Receptor-1R Pathway for Cancer Therapy. Clinical Cancer Research. 2010;16:2512–7. doi: 10.1158/1078-0432.CCR-09-2232. [DOI] [PubMed] [Google Scholar]
  • 17.Cao L, Yu YK, Darko I, Currier D, Mayeenuddin LH, Wan XL, et al. Addiction to elevated insulin-like growth factor I receptor and initial modulation of the AKT pathway define the responsiveness of rhabdomyosarcoma to the targeting antibody. Cancer Research. 2008;68:8039–48. doi: 10.1158/0008-5472.CAN-08-1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zha JP, O’Brien C, Savage H, Huw LY, Zhong F, Berry L, et al. Molecular predictors of response to a humanized anti-insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer. Molecular Cancer Therapeutics. 2009;8:2110–21. doi: 10.1158/1535-7163.MCT-09-0381. [DOI] [PubMed] [Google Scholar]
  • 19.Heldin CH, Rubin K, Pietras K, Ostman A. High interstitial fluid pressure -An obstacle in cancer therapy. Nature Reviews Cancer. 2004;4:806–13. doi: 10.1038/nrc1456. [DOI] [PubMed] [Google Scholar]
  • 20.Jain RK. Transport of molecules across tumor vasculature. Cancer Metastasis Rev. 1987;6:559–93. doi: 10.1007/BF00047468. [DOI] [PubMed] [Google Scholar]
  • 21.Jain RK. Transport of molecules, particles, and cells in solid tumors. Annu Rev Biomed Eng. 1999;1:241–63. doi: 10.1146/annurev.bioeng.1.1.241. [DOI] [PubMed] [Google Scholar]
  • 22.Toledo SRC, Oliveira ID, Okamoto OK, Zago MA, Alves MTD, Garcia RJ, et al. Bone Deposition, Bone Resorption, and Osteosarcoma. Journal of Orthopaedic Research. 2010;28:1142–8. doi: 10.1002/jor.21120. [DOI] [PubMed] [Google Scholar]
  • 23.Heskamp S, van Laarhoven HWM, Molkenboer-Kuenen JDM, Franssen GM, Versleijen-Jonkers YMH, Oyen WJG, et al. ImmunoSPECT and ImmunoPET of IGF-1R Expression with the Radiolabeled Antibody R1507 in a Triple-Negative Breast Cancer Model. Journal of Nuclear Medicine. 2010;51:1565–72. doi: 10.2967/jnumed.110.075648. [DOI] [PubMed] [Google Scholar]
  • 24.Huang F, Greer A, Hurlburt W, Han X, Hafezi R, Wittenberg GM, et al. The mechanisms of differential sensitivity to an insulin-like growth factor-1 receptor inhibitor (BMS-536924) and rationale for combining with EGFR/HER2 inhibitors. Cancer Research. 2009;69:2149. doi: 10.1158/0008-5472.CAN-08-0835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Gualberto A, Hixon ML, Karp DD, Li D, Green S, Dolled-Filhart M, et al. Pre-treatment levels of circulating free IGF-1 identify NSCLC patients who derive clinical benefit from figitumumab. British Journal of Cancer. 2011;104:68–74. doi: 10.1038/sj.bjc.6605972. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 26.Press OW, Shan D, HowellClark J, Eary J, Appelbaum FR, Matthews D, et al. Comparative metabolism and retention of iodine-125, yttrium-90, and indium-111 radioimmunoconjugates by cancer cells. Cancer Research. 1996;56:2123–9. [PubMed] [Google Scholar]
  • 27.Kolb EA, Gorlick R, Lock R, Carol H, Morton CL, Keir ST, et al. Initial testing (stage 1) of the IGF-1 receptor inhibitor BMS-754807 by the pediatric preclinical testing program. Pediatr Blood Cancer. 2011;56:595–603. doi: 10.1002/pbc.22741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Belfiore A. The role of insulin receptor isoforms and hybrid insulin/IGF-I receptors in human cancer. Curr Pharm Des. 2007;13:671–86. doi: 10.2174/138161207780249173. [DOI] [PubMed] [Google Scholar]
  • 29.Scotlandi K, Manara MC, Serra M, Marino MT, Ventura S, Garofalo C, et al. Expression of insulin-like growth factor system components in Ewing’s sarcoma and their association with survival. Eur J Cancer. 2011;47:1258–66. doi: 10.1016/j.ejca.2011.01.007. [DOI] [PubMed] [Google Scholar]
  • 30.Houghton PJ, Morton CL, Gorlick R, Kolb EA, Keir ST, Reynolds CP, et al. Initial testing of a monoclonal antibody (IMC-A12) against IGF-1R by the Pediatric Preclinical Testing Program. Pediatr Blood Cancer. 2010;54:921–6. doi: 10.1002/pbc.22367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Kolb EA, Gorlick R, Houghton PJ, Morton CL, Lock R, Carol H, et al. Initial testing (stage 1) of a monoclonal antibody (SCH 717454) against the IGF-1 receptor by the pediatric preclinical testing program. Pediatr Blood Cancer. 2008;50:1190–7. doi: 10.1002/pbc.21450. [DOI] [PubMed] [Google Scholar]
  • 32.Nathan SS, Huvos AG, Casas-Ganem JE, Yang R, Linkov I, Sowers R, et al. Tumour interstitial fluid pressure may regulate angiogenic factors in osteosarcoma. Ann Acad Med Singapore. 2009;38:1041–7. [PubMed] [Google Scholar]
  • 33.Benini S, Manara MC, Baldini N, Cerisano V, Serra M, Mercuri M, et al. Inhibition of insulin-like growth factor I receptor increases the antitumor activity of doxorubicin and vincristine against Ewing’s sarcoma cells. Clinical Cancer Research. 2001;7:1790–7. [PubMed] [Google Scholar]
  • 34.Huang F, Hurlburt W, Greer A, Reeves KA, Hillerman S, Chang H, et al. Differential Mechanisms of Acquired Resistance to Insulin-like Growth Factor-I Receptor Antibody Therapy or to a Small-Molecule Inhibitor, BMS-754807, in a Human Rhabdomyosarcoma Model. Cancer Research. 2010;70:7221–31. doi: 10.1158/0008-5472.CAN-10-0391. [DOI] [PubMed] [Google Scholar]
  • 35.Chitnis MM, Yuen JSP, Protheroe AS, Pollak M, Macaulay VM. The Type 1 Insulin-Like Growth Factor Receptor Pathway. Clinical Cancer Research. 2008;14:6364–70. doi: 10.1158/1078-0432.CCR-07-4879. [DOI] [PubMed] [Google Scholar]

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