Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) express insulin-like growth factor (IGF)-related factors [IGF1, IGF2; insulin receptor (IR)-A, IR-B; IGF-binding protein (IGFBP) 1-3] as well as somatostatin (SSTRs) and dopamine D2 receptors (D2Rs). Objectives: To (1) compare mRNA expression of IGF-related factors in human pancreatic NET (panNET) cell lines with that in human GEP-NETs to evaluate the usefulness of these cells as a model for studying the IGF system in GEP-NETs, (2) determine whether panNET cells produce growth factors that activate IR-A, and (3) investigate whether somatostatin analogs (SSAs) and/or dopamine agonists (DAs) influence the production of these growth factors. Methods: In panNET cells (BON-1 and QGP-1) and GEP-NETs, mRNA expression of IGF-related factors was measured by quantitative real-time PCR. Effects of the SSAs octreotide and pasireotide (PAS), the DA cabergoline (CAB), and the dopastatin BIM-23A760 (all 100 nM) were evaluated at the IGF2 mRNA and protein level (by ELISA) and regarding IR-A bioactivity (by kinase receptor activation assay) in panNET cells. Results: panNET cells and GEP-NETs had comparable expression profiles of IGF-related factors. Especially in BON-1 cells, IGF2 and IR-A were most highly expressed. PAS + CAB inhibited IGF2 (-29.5 ± 4.9%, p < 0.01) and IGFBP3 (-20.0 ± 4.0%, p < 0.01) mRNA expression in BON-1 cells. In BON-1 cells, IGF2 protein secretion was significantly inhibited with BIM-23A760 (-23.7 ± 3.8%). BON-1- but not QGP-1- conditioned medium stimulated IR-A bioactivity. In BON-1 cells, IR-A bioactivity was inhibited by BIM-23A760 and PAS + CAB (-37.8 ± 2.1% and -30.9 ± 4.1%, respectively, p < 0.0001). Conclusions: (1) The BON-1 cell line is a representative model for studying the IGF system in GEP-NETs, (2) BON-1 cells produce growth factors (IGF2) activating IR-A, and (3) combined SSTR and D2R targeting with PAS + CAB and BIM-23A760 suppresses IGF2-induced IR-A activation.

The insulin-like growth factor (IGF) system is considered to play an important role in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) [1,2,3]. The IGF system is involved in cell metabolism, growth, differentiation, and survival [4,5,6]. Known proteins that are part of this IGF system include IGF1 and IGF2, IGF receptor 1 (IGF1R), IGF2R, insulin receptor (IR) isoforms A (IR-A) and B (IR-B), and IGF-binding proteins 1, 2, and 3 (IGFBP1-3).

The tumor-promoting role of IGF1, IGF2, and IGF1R in cancer has previously been explored [7,8,9]. IGFs can also exert their effects after binding to IR-A and IR-B. IR-A has mainly mitogenic effects and IR-B is involved in metabolic activities [7,9]. We have recently shown that, compared to IGF1R and IR-B, IR-A was the most predominantly expressed receptor in GEP-NETs [10]. In addition, we have shown that BON-1 pancreatic NET (panNET) cells produce growth factors (IGF2) that stimulate IGF1R in an autocrine/paracrine manner [11]. To the best of our knowledge, the functional role of IR-A has not been studied in this respect.

GEP-NET cells also express somatostatin receptors (SSTRs) and dopamine type 2 receptors (D2Rs), which are known to inhibit the secretion of many factors/hormones [12,13,14]. SSTRs and D2Rs are highly, but variably, expressed in most GEP-NETs, and their expression may depend on the stage of tumor dedifferentiation [12,13,14]. Of the SSTRs, SSTR2 is the most abundantly expressed subtype. Somatostatin analogs (SSAs) such as octreotide (OCT) and lanreotide, which act primarily via SSTR2, are used in the treatment of GEP-NETs and were previously shown to control symptoms related to the overproduction of hormones and bioactive substances, and more recently to control tumor progression as well [15,16].

In theory, targeting SSTRs and/or D2Rs could result in lowering of the production of factors that interact with IR-A. Heterodimerization of SSTRs and D2Rs can result in receptors with an enhanced functional activity [17,18]. As such, the combination of single-receptor ligands such as dopamine agonists (DAs) and SSAs, and also somatostatin-dopamine (SS-DA) chimeric compounds, could have synergistic effects by targeting these coexpressed receptors in GEP-NETs. Beneficial effects of chimeric compounds and multiligand SSAs were already shown in a subgroup of patients with NETs and growth hormone/prolactin-secreting pituitary adenomas [19,20,21,22]. In one study, antiproliferative effects were observed in the small intestinal NET (siNET) cell line KRJ-I after incubation with multiligand SSAs but not with SS-DA, because KRJ-I cells lack D2R expression [23].

To the best of our knowledge, there are no studies in GEP-NET cells in which the effect of targeting SSTRs and D2Rs on the production of IGF-related factors has been evaluated. The main aims of our study were: (1) to compare the expression of the IGF system in human panNET cells (BON-1 and QGP-1) and a series of GEP-NET tissues and to investigate in which aspect the human panNET cell models reflect the human IGF system in GEP-NETs; (2) to evaluate whether panNET cells produce growth factors that are able to activate IR-A, and (3) to investigate whether SSAs and/or DAs can influence the production of these growth factors.

Cell Lines and Culture Conditions

For functional experiments, we used the human panNET cell lines BON-1 and QGP-1. The BON-1 cell line was established from a lymph node metastasis of a human functional panNET [24] and was a kind gift of Dr. C.M. Townsend (The University of Texas Medical Branch, Galveston, Tex., USA). The QGP-1 cell line, which was derived from a pancreatic islet cell carcinoma, was obtained from the Japanese Collection of Research Bioresources (JCRB) Cell Bank [25].

In kinase receptor activation (KIRA) bioassays, we utilized the human embryonic kidney (HEK) cell line Flip-in™-293 from Invitrogen (Breda, The Netherlands), which was stably transfected with plasmids (pNTK-2) containing a cDNA insert of the human IR-A gene, using Fugene® transfection reagents according to manufacturer's protocol [26]. The IR-A plasmid was kindly provided by Axel Ullrich (Martinsried, Germany).

Cell lines were routinely cultured in 75-cm2 cell culture flasks from Corning (Amsterdam, The Netherlands). BON-1 cells were cultured in culture medium consisting of a 1:1 mixture of DMEM and F-12K medium, supplemented with 10% fetal bovine serum (FBS), 100 U/ml penicillin, 0.5 mg/l Fungizone, and 2 mML-glutamine. QGP-1 cells were cultured in RPMI 1640 culture medium enriched with 10% FBS and 100 U/ml penicillin. HEK IR-A cells were grown in DMEM containing 10% FBS, 100 U/ml penicillin, 100 µg/l streptomycin, and 500 µg/ml geneticin from Invitrogen.

The cell lines were passaged weekly by trypsinization with trypsin/EDTA (0.05%/0.53 mM) and resuspension in medium. Trypan blue staining was used to assess cell viability, which always exceeded 95%. Before plating, cells were counted microscopically in a standard hemocytometer. Periodically, cells were confirmed as free of Mycoplasma. The cell culture conditions in the incubator were kept at a humidified atmosphere of 5% CO2 at 37°C.

Cell Experiments for mRNA Expression and IR-A Bioactivity (KIRA Assay)

For all mRNA expression and IR-A bioactivity experiments, both panNET cell lines were seeded at a density of 100,000 cells/well in 12-multiwell culture plates (Corning). After 48 and 72 h, the media were refreshed with serum-free medium.

In order to test whether growth factors produced by panNET cells could influence the tyrosine kinase activity of IR-A, 72-hour conditioned medium of BON-1 cells and QGP-1 cells was collected. Since QGP-1-conditioned medium showed no tyrosine kinase IR-A bioactivity, we did not further evaluate the effects of SSAs/DAs on this cell line. Therefore, all further experiments were performed with BON-1 cells only.

BON-1 cells were incubated for 72 h without or with SSAs and/or DAs at a concentration of 100 nM. After 72 h of incubation, supernatant of the cells was collected, stored at -20°C, and later used for IR-A bioassays. The same control and treated BON-1 cells were used for total RNA isolation. The samples were stored at -20°C until analysis. The ability of BON-1-secreted factors to stimulate IR-A phosphorylation was measured using an in-house IR-A KIRA assay according to a previously published method [27]. Bioactivity was expressed relative to a standard curve of insulin. The treatment groups were tested in quadruplicate.

Test Substances

Regarding SSAs, we tested OCT (Novartis Pharma AG, Basel, Switzerland) and the multi-receptor-binding SSA pasireotide (PAS), also known as SOM230 [28]. PAS was a gift from Novartis. The DA used was cabergoline (CAB; Pharmacia-Pfizer, New York, N.Y., USA). The SS-DA chimeric compound BIM-23A760 was provided by Biomeasure Inc./IPSEN (Milford, Mass., USA). Cells were treated with either single drugs or with drug combinations, namely OCT + CAB and PAS + CAB. The SSTR and D2R binding affinities of all compounds are listed in online supplementary table 1 (for all online suppl. material, see www.karger.com/doi/10.1159/000444280) [22,28,29,30,31,32,33]. Stock solutions of SSAs were prepared in 0.01 M acetic acid and 0.1% bovine serum albumin. CAB was dissolved in 70% ethanol. All stock solutions were aliquoted at concentrations of 10-4M and stored at -20°C. For each experiment, fresh working solutions were diluted in serum-free medium.

GEP-NET Tissues

The diagnosis of GEP-NET was based on both clinical parameters and histology. Samples of GEP-NETs were immediately frozen after surgery in liquid nitrogen and stored at -80°C until further analysis. Tissues obtained from the Erasmus Medical Center (MC) Tissue Bank were stored according to a standardized protocol [34]. Approval from the Medical Ethics Committee of the Erasmus MC, as well as informed consent to use the tumor tissues for research purposes, was obtained.

Quantitative Real-Time PCR

Total RNA of panNET cells and GEP-NET samples was isolated to determine mRNA expression of the IGF-related factors according to the manufacturer's protocol with a High Pure Isolation KIT (Roche Diagnostics, The Netherlands).

Poly A+ mRNA isolation for detection of SSTR and D2R mRNA in panNET cells was performed according to a previously used method [35]. The synthesis of cDNA and quantitative real-time PCR was conducted as previously described [36].

The used primer probe sets of all IGF-related factors, including their sequences and concentrations, have been previously published [10]. Relative mRNA expression of IGF-related factors was calculated using the comparative threshold method after efficiency correction of target and reference gene (HPRT) transcripts [37,38]. The tested compounds did not significantly change the expression of HPRT after 72 h of incubation (data not shown).

IGF2 Protein Assay

To test whether inhibition of IR-A activation could be clarified by modulation of IGF2 secretion, we used a ‘two-step' sandwich-type immunoassay with a Non-Extraction IGF-II Enzyme-Linked Immunosorbent Assay Kit (DSL Germany GMBH-Benelux, Assendelft, The Netherlands). The assay was performed according to the protocol supplied by the manufacturer. The intra- and interassay coefficients of variability were 5.2 and 6.9%, respectively.

IGF2 Immunohistochemistry

Expression of the IGF2 protein in GEP-NET tissues was measured by immunohistochemistry (IHC) using a polyclonal goat antibody (1:500; Santa Cruz Biotechnology, Dallas, Tex., USA) as previously described [36]. The immunoreactivity of IGF2-stained GEP-NET tissues was interpreted in a semiquantitative manner and expressed as an immunoreactivity score (IRS) between 0 and 6 [39]. The IGF2 staining and IRS counting procedure were done by 2 independent researchers, and any discrepancy was resolved by consensus review.

Statistical Analysis

For statistical analysis, GraphPad Prism® version 6.04 (GraphPad Software, San Diego, Calif., USA) was used. Comparative statistical evaluations between groups were accomplished with unpaired t tests and one-way ANOVA followed by Tukey's tests for multiple post hoc comparisons. Correlation analysis was performed using Spearman's rank correlation tests. Each drug condition of an experiment was tested in quadruplicate, with the exception of the IGF2 ELISA, which was done in triplicate. All experiments were carried out at least 2 times and gave comparable results. Outliers were excluded by Grubbs' test with the GraphPad QuickCalcs outlier calculator. Data are reported as means ± SEM. In all analyses, a two-sided p value <0.05 (* p < 0.05, ** p < 0.01) was considered statistically significant.

Levels of mRNA Expression of SSTRs and D2Rs in panNET Cells

Figure 1a shows mRNA levels of SSTRs and D2Rs in BON-1 cells. The SSTR subtypes were expressed in the following order: SSTR5 > SSTR1 > SSTR2 > SSTR3 (0.57 ± 0.093, 0.47 ± 0.058, 0.081 ± 0.011, and 0.036 ± 0.0065). The D2R mRNA expression level was 0.27 ± 0.011. Of all receptors, SSTR5 was expressed most highly.

Fig. 1

mRNA expression profiles of SSTRs and D2R (a, b) and IGF-related factors (c, d) in BON-1 (a, c) and QGP-1 cells (b, d), expressed as relative expression normalized to HPRT. For all samples: n = 2. ND = Not detectable.

Fig. 1

mRNA expression profiles of SSTRs and D2R (a, b) and IGF-related factors (c, d) in BON-1 (a, c) and QGP-1 cells (b, d), expressed as relative expression normalized to HPRT. For all samples: n = 2. ND = Not detectable.

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In QGP-1 cells, the order of expression was the same as in BON-1 cells, but the expression of SSTR3 was not detectable (SSTR5: 0.05 ± 0.02; SSTR1: 0.038 ± 0.022; SSTR2: 0.005 ± 0; SSTR3: not detectable). D2R is the most highly expressed receptor in QGP-1 cells, and is expressed at the same level as in BON-1 cells (0.16 ± 0.08) (fig. 1b).

mRNA Expression of IGF-Related Factors in panNET Cells

mRNA expression levels of the IGF-related factors were measured in BON-1 (fig. 1c) and QGP-1 cells (fig. 1d). The results are expressed as relative expression (normalized to HPRT). In BON-1 cells, IGF2 was expressed at the highest level (292.8 ± 34.60). BON-1 cells expressed statistically significantly higher mRNA levels of IGF2 than of IGF1 (p < 0.01). Of the IGF-related receptors, IR-A had the highest mRNA expression level (0.27 ± 0.016). IR-A was significantly more highly expressed (14.3-fold) than IR-B (0.27 ± 0.016 vs. 0.019 ± 0.0016, p < 0.01). In addition, IR-A was expressed at a higher level (1.2-fold) than IGF1R (0.27 ± 0.016 vs. 0.22 ± 0.0093, p < 0.05). No statistically significant difference in mRNA expression levels was observed between IR-A and IGF2R (0.27 ± 0.016 vs. 0.24 ± 0.019, p > 0.05) or between IGF1R and IGF2R (0.22 ± 0.0093 vs. 0.24 ± 0.019, p > 0.05). With respect to IGFBPs, IGFBP2 (0.76 ± 0.034) was expressed at the highest level, followed by IGFBP3 (0.35 ± 0.023) and IGFBP1 (0.023 ± 0.0019).

IGF-related factors were expressed in a relatively comparable pattern in QGP-1 cells, but their expression levels were considerably lower than in BON-1 cells. panNET IGF2 (292.8 ± 34.60 vs. 0.26 ± 0.15, p = 0.01) and IR-A (0.27 ± 0.016 vs. 0.064 ± 0.005, p = 0.0003) were significantly more highly expressed in BON-1 cells than in QGP-1 cells. In addition, in QGP-1 cells there was no detectable expression of IGFBP1 and IGFBP3.

mRNA Expression of IGF-Related Factors in GEP-NET Tissues

The mRNA expression levels of IGF-related factors were investigated in primary human GEP-NETs originating from the small intestine (n = 18; fig. 2a: IGF-related receptors, fig. 2c: IGF-related proteins) and pancreas (n = 7; fig. 2b: IGF-related receptors, fig. 2d: IGF-related proteins). Expression data on a subset of these GEP-NETs were previously reported [10]. All genes were expressed in highly variable amounts. Of the IGFs, IGF2 was most highly expressed (siNET: 3.60 ± 1.31; panNET: 1.05 ± 0.56). IGF2 was expressed at a higher level than IGF1 (siNET: 3.60 ± 1.31 vs. 0.71 ± 0.20; panNET: 1.05 ± 0.56 vs. 0.35 ± 0.25). IR-A was the most prominently expressed IGF-related receptor in this series of GEP-NET tissues; it was expressed at a higher level than IR-B (siNET: 4.34 ± 0.69 vs. 1.50 ± 0.42; panNET: 1.87 ± 0.41 vs. 0.47 ± 0.18) and IGF1R as well (siNET: 0.34 ± 0.11; panNET: 0.12 ± 0.06) (fig. 2a, b). Although the expression levels varied, overall siNETs and panNETs showed mRNA expression patterns of IGF-related factors comparable to those of the panNET cell lines. Results of logarithmic gene expression levels are shown.

Fig. 2

mRNA expression patterns of IGF-related receptors (a, b) and proteins (c, d) in siNETs (a, c; n = 18) and panNETs (b, d; n = 7), expressed as log relative expression normalized to HPRT. Horizontal bars represent means.

Fig. 2

mRNA expression patterns of IGF-related receptors (a, b) and proteins (c, d) in siNETs (a, c; n = 18) and panNETs (b, d; n = 7), expressed as log relative expression normalized to HPRT. Horizontal bars represent means.

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Receptor Bioactivity after Stimulation with Serum-Free Conditioned BON-1 Cell Medium

Conditioned medium of BON-1 cells stimulated IR-A bioactivity, whereas control, unconditioned medium did not (fig. 3a). Conditioned medium of QGP-1 cells did not show any detectable bioactivity of IR-A (data not shown).

Fig. 3

a IR-A bioactivity of unconditioned BON-1 cell medium (UM) and supernatant of conditioned BON-1 cell medium (CM). ND = Not detectable. b IR-A bioactivity after treatment with single or combinations of compounds (all at concentrations of 100 nM), expressed as percentage change from baseline. * p < 0.05, **** p < 0.0001 vs. control.

Fig. 3

a IR-A bioactivity of unconditioned BON-1 cell medium (UM) and supernatant of conditioned BON-1 cell medium (CM). ND = Not detectable. b IR-A bioactivity after treatment with single or combinations of compounds (all at concentrations of 100 nM), expressed as percentage change from baseline. * p < 0.05, **** p < 0.0001 vs. control.

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In the IR-A KIRA assay, the strongest inhibition of BON-1 conditioned medium-induced IR-A bioactivity was observed after treatment for 72 h with the SS-DA chimera BIM-23A760 (-37.8 ± 2.1%, p < 0.0001). Other compounds or combinations of compounds (all tested at 100 nM) that induced a statistically significant decrease in conditioned medium-induced IR-A bioactivity were: PAS + CAB (-30.9 ± 4.1%, p < 0.0001), OCT + CAB (-26.5 ± 2.1%, p < 0.01), CAB (-24.1 ± 3.4%, p < 0.05), and PAS (-19.4 ± 2.6%, p < 0.05). No statistically significant differences in IR-A bioactivity were observed after treatment with OCT (-8.0 ± 6.1%). Data, expressed as percentage change from baseline of IR-A activation, are shown in figure 3b. None of the compounds had a direct effect on IR-A phosphorylation (data not shown), indicating that the effects involved inhibition of the secretion of growth factors produced by BON-1 cells. Under the conditions that we used, concentrations of IGF2 between 0.25 and 0.5 nM induced an IR-A activation comparable to that of BON-1 conditioned medium (data not shown).

mRNA Levels of IGF-Related Factors after Treatment with SSAs and DAs

First, mRNA levels of IGF-related factors were measured after 6, 24, and 72 h of treatment. After 72 h, the mRNA data showed the most significant changes. Therefore, all experiments were accomplished at that time point. A significant decrease in IGF2 mRNA was observed after treatment with PAS + CAB (-29.5 ± 4.9%, p < 0.01). The results are shown in figure 4. IGFBP3 expression as well was significantly decreased after treatment with PAS + CAB (-20.0 ± 4.0%, p < 0.01; data not shown). No other statistically significant effects on mRNA expression were found for the remaining IGF-related factors. None of the other drugs or combinations were able to modulate mRNA expression levels.

Fig. 4

Change in mRNA expression of IGF2 after 72 h of treatment with single or combinations of compounds in BON-1 cells. ** p < 0.01 vs. control.

Fig. 4

Change in mRNA expression of IGF2 after 72 h of treatment with single or combinations of compounds in BON-1 cells. ** p < 0.01 vs. control.

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IGF2 ELISA

Total IGF2 protein levels were quantitatively measured in conditioned medium of BON-1 cells. A significant decrease in IGF2 protein levels was observed after 72 h of incubation with BIM-23A760 (-23.7 ± 3.8%). Inhibitory but statistically nonsignificant effects were observed with the other compounds (OCT: -12.5 ± 5.3%; CAB: -12.1 ± 4.8%; PAS + CAB: -9.8 ± 8.2%; PAS: -12.0 ± 3.3%; OCT + CAB: -5.7 ± 12.4%). The results are shown in figure 5.

Fig. 5

Change in IGF2 protein secretion in BON-1 cells after 72 h of treatment with single or combinations of compounds. ** p < 0.01 vs. control.

Fig. 5

Change in IGF2 protein secretion in BON-1 cells after 72 h of treatment with single or combinations of compounds. ** p < 0.01 vs. control.

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IGF2 Immunohistochemistry

IGF2 IHC was determined in 25 tissue samples of siNET (n = 18) and panNET (n = 7) in order to examine IGF2 protein expression. Most of the tumors expressed a significant amount of IGF2 protein, although its expression was variable. The intensity and proportion of IGF2 IHC staining were heterogeneous in most of the GEP-NET tissues. In online supplementary table 2, the IGF2 mRNA and protein expression levels of both siNETs and panNETs are listed. No significant correlation was observed between IGF2 mRNA and IGF2 protein in siNETs (ρ = 0.17, p = 0.49) and panNETs (ρ = 0.44, p = 0.33), expressed as IGF2 IRS. Figure 6 shows exemplary photomicrographs of staining of IGF2 in GEP-NET samples with an IRS of 2, 4, and 6, respectively. There was no statistically significant association between the proliferation marker Ki-67 and IGF2 IRS in siNETs (ρ = -0.09, p = 0.79) and panNETs (ρ = 0.89, p = 0.11).

Fig. 6

Exemplary cases of IGF2 IRSs of GEP-NET tissues. a-f siNETs (n = 18). g-i panNETs (n = 7). a, d, g HE. b, e, h IGF2. c, f, i Negative controls.

Fig. 6

Exemplary cases of IGF2 IRSs of GEP-NET tissues. a-f siNETs (n = 18). g-i panNETs (n = 7). a, d, g HE. b, e, h IGF2. c, f, i Negative controls.

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To the best of our knowledge, this is the first study having gathered evidence that the human BON-1 cell line is a model that reflects in many respects the typical characteristics of the IGF system in human GEP-NETs. We showed that especially IGF2 and IR-A were expressed at high levels in our series of GEP-NETs as well as in the BON-1 cell model. In addition, we demonstrated that SSAs and DAs modulate the secretion of growth factors (e.g. IGF2) produced by BON-1 cells that are capable of activating IR-A.

We measured mRNA levels of IGF-related factors (IGF1, IGF2, IGF1R, IGF2R, IR-A, IR-B, and IGFBP1-3) in both panNET cell lines and GEP-NETs. In earlier publications, the expression of these genes has been studied in human NETs [2,10]. However, the quantitative expression of factors of the IGF system, and modulation of the expression of these growth factors (both at the mRNA and the protein level, during treatment with SSAs, DAs, or their combinations), have not been studied so far.

Overall, BON-1 and QGP-1 cells displayed an expression pattern of IGF-related factors which was relatively comparable to that of GEP-NETs, both siNETs and panNETs. However, BON-1 cells did not express detectable levels of IGF1, and QGP-1 cells did not express detectable levels of IGF1, IGFBP1, and IGFBP3. In BON-1 cells, IGF2 mRNA levels were expressed 1,000-fold more highly, and IR-A levels 5-fold more highly, than in QGP-1 cells. The relatively low mRNA expression levels of IGF2 (and IR-A) in QGP-1 cells may explain the absence of effects of conditioned medium of QGP-1 on IR-A bioactivity. Therefore, the QGP-1 cell line appears not to be a suitable model for investigating whether SSAs and/or DAs can modulate the production of these growth factors. On the other hand, both cell lines are panNET cell lines, and the difference between the cell lines might reflect the heterogeneity of this tumor group.

In both BON-1 and QGP-1 cells, we observed higher mRNA expression levels for SSTR1 than for SSTR2. The siNET cell line KRJ-I demonstrated equal mRNA expression levels for SSTR1 and SSTR2 [3]. In most studies where the quantitative mRNA expression levels of SSTRs were studied, SSTR2 was more highly expressed than SSTR1 [40,41,42,43,44]. In general, there is a predominant expression of SSTR1 and SSTR2 mRNA in NETs, with highly variable mRNA expression levels [40,45]. We suggest that these differential findings again represent the heterogeneity of these tumors. No SSTR/D2R mRNA expression levels were determined in our series of GEP-NETs, since expression profiles of these receptors have already been extensively investigated [40,42].

For all experiments, we used the concentration of 100 nM of OCT, PAS, CAB, and/or BIM-23A760. With this supraphysiological concentration, we expected to observe effects that could answer our primary research question, i.e. to investigate whether the different SSAs and/or DAs used were able to activate SSTR subtypes and D2R resulting in a maximal biological response. At such a concentration, it is not fully possible to make statements about the specific involvement of individual SSTR subtypes in this context.

In a previous study, modulation of the IGF2/IGF1R autocrine loop was demonstrated in BON-1 cells using neutralizing IGF2 antibodies [27]. To assess the IGF2-mediated activity of IR-A, we used an IR-A KIRA bioassay developed in-house. In the current study, we focused on IR-A bioactivity, as stimulation of IR-A by IGF2 may play a role in signal transduction in tumorigenesis [7,9]. With the IR-A bioassay, we found that stimulation of the phosphorylation of tyrosine residues of IR-A by conditioned medium of BON-1 cells was as potent as stimulation with 167 pM recombinant human insulin. As indicated above, a significant IR-A bioactivity of conditioned medium of QGP-1 cells was not observed. This may be explained by the reduced IGF2 mRNA expression in QGP-1 cells, which was approximately 1,000-fold lower than in BON-1 cells.

Since BON-1 cells only produce IGF2 but not IGF1, the most likely explanation for the observed IR-A activation in BON-1 cells is the production of IGF2. After 72 h of incubation, BON-1 cells treated with PAS + CAB showed a significant decrease in IGF2 mRNA, while no effects were observed on mRNA expression after incubation with any of the other components. PAS and CAB monotherapy had less effect on mRNA expression. There was only a borderline reduction in IGF2 mRNA after treatment with BIM-23A760. Although SSTR1 was the most highly expressed SSTR subtype in our BON-1 cell line, a 72-hour incubation of BON-1 cells with BIM-23926 (SSTR1 analog) did not result in a statistically significant change in IGF2 mRNA expression compared to untreated BON-1 cells (+113.80 ± 19.31%, p = 0.52) [unpubl. data]. Apparently, targeting SSTR1 is not effective in modulating IGF2 mRNA levels. Overall, these results suggest that the SSTR subtypes 2 and 5 and D2Rs may play a role in modulating IGF2 mRNA levels.

BIM-23A760 treatment resulted in a significant decrease in secreted IGF2, while no effect was seen after any of the other treatments. Treatment with PAS + CAB or BIM-23A760 induced a significant decrease in IR-A bioactivity. In the IR-A KIRA bioassay, all compounds or combinations, except OCT, were able to suppress the activation of IR-A. This result indicates that BON-1 conditioned medium-induced IR-A activation can be modified by the (combined) activation of D2R and SSTR subtypes 2 and 5. The absence of an effect of OCT may be explained by the very low SSTR2 expression in BON-1 cells.

While IGF2 expression has previously been demonstrated in GEP-NET tissue at the mRNA level, there are no large studies that have evaluated IGF2 protein expression. In order to study whether IGF2 is also highly expressed in GEP-NET tissues, we performed IHC. The GEP-NET tumors also expressed IGF2 protein at a significant but variable level. Protein expression of SSTRs has already previously been examined in GEP-NET cells [46]. No significant correlations were observed by IHC between IGF2 mRNA expression and IGF2 protein positivity in GEP-NET tissues. Nonetheless, our study suggests that IGF2 is expressed at significant levels in almost all GEP-NETs. No significant association between IGF2 IRS and Ki-67 index was found as well, which may be explained by the small sample size of our GEP-NET series.

Although the BON-1 and QGP-1 cell lines are both originating from panNETs, discrepancies in results of experiments between the panNET cell lines indicate that these cell lines represent two different tumor subtypes, namely tumors with a low IGF2 production and panNETs with high levels of IGF2 secretion.

In conclusion, the human BON-1 panNET cell line, and to a lesser extent the QGP-1 cell line, appears to be a suitable model for studying the role of the IGF system in human panNETs. Of all the IGF-related factors, IGF2 and IR-A seem the most important players in human BON-1 panNET cells and human GEP-NETs. We found that most GEP-NET tissues express IGF2 protein as well. In our hands, therapies with the combination of PAS + CAB or with the SS-DA chimeric compound BIM-23A760, which act through D2R and SSTR subtypes 2 and 5, showed especially inhibitory effects on autocrine/paracrine (IGF2)-induced IR-A activation. Our study suggests that combinations of SSAs and DAs and/or chimeric SS-DA ligands are treatment options showing promise for the treatment of GEP-NETs, and they should be in the focus of future research.

We thank the Erasmus MC Tissue Bank for providing the panNET tumor tissues.

The authors have nothing to disclose.

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