Skip to main content
Download PDF

Oncolytic vaccinia virus GLV-1h68 exhibits profound antitumoral activities in cell lines originating from neuroendocrine neoplasms

BMC Cancer volume 20, Article number: 628 (2020) Cite this article

Abstract

Background

Oncolytic virotherapy is an upcoming treatment option for many tumor entities. But so far, a first oncolytic virus only was approved for advanced stages of malignant melanomas. Neuroendocrine tumors (NETs) constitute a heterogenous group of tumors arising from the neuroendocrine system at diverse anatomic sites. Due to often slow growth rates and (in most cases) endocrine non-functionality, NETs are often detected only in a progressed metastatic situation, where therapy options are still severely limited. So far, immunotherapies and especially immunovirotherapies are not established as novel treatment modalities for NETs.

Methods

In this immunovirotherapy study, pancreatic NET (BON-1, QGP-1), lung NET (H727, UMC-11), as well as neuroendocrine carcinoma (NEC) cell lines (HROC-57, NEC-DUE1) were employed. The well characterized genetically engineered vaccinia virus GLV-1 h68, which has already been investigated in various clinical trials, was chosen as virotherapeutical treatment modality.

Results

Profound oncolytic efficiencies were found for NET/NEC tumor cells. Besides, NET/NEC tumor cell bound expression of GLV-1 h68-encoded marker genes was observed also. Furthermore, a highly efficient production of viral progenies was detected by sequential virus quantifications. Moreover, the mTOR inhibitor everolimus, licensed for treatment of metastatic NETs, was not found to interfere with GLV-1 h68 replication, making a combinatorial treatment of both feasible.

Conclusions

In summary, the oncolytic vaccinia virus GLV-1 h68 was found to exhibit promising antitumoral activities, replication capacities and a potential for future combinatorial approaches in cell lines originating from neuroendocrine neoplasms. Based on these preliminary findings, virotherapeutic effects now have to be further evaluated in animal models for treatment of Neuroendocrine neoplasms (NENs).

Peer Review reports

Background

Neuroendocrine neoplasms (NENs) are rare tumors which are developing in widespread anatomical origins such as the pancreas, lung and intestine. Only the minority of tumors show hormonal functionality, so that approximately 70% of NENs are non-functional and therefore asymptomatic in early stages. Accordingly, patients frequently present only in late metastatic disease stages. This as well as the rising incidence makes NENs an upcoming challenge in oncology [1].

NENs are subclassified into neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). Generally, surgery is the treatment of choice for NENs in an early, still localized stage. In addition to classical chemotherapy and radiation, somatostatin analogues, peptide receptor radiotherapy, small molecule compounds such as sunitinib or everolimus are available for unresectable NETs [2]. Treatment options for NECs are still often restricted to chemotherapy and radiation [3]. Further therapy options for unresectable tumors such as several multi-kinase inhibitors or peptide receptor chemoradionuclide therapy are under development [4, 5] and also new therapeutic targets and treatment combination strategies are under extensive preclinical investigation [6].

Only very few approaches using oncolytic virotherapy in NEN treatment have been described so far [7,8,9,10]: oncolytic viruses (OV) are engineered to specifically target tumor cells, to produce enormous amounts of viral progeny within and thus to damage them harshly, resulting in significant rates of tumor cell lysis, i.e. oncolysis. Furthermore, infections by OV were found to turn immunosuppressive “cold” tumor microenvironments into “hot” ones by attracting a significant influx of immune cells. As a result, profound and long-lasting antitumoral immune responses can be induced.

The oncolytic virus employed in this study is a genetically modified DNA virus which has already been tested intensively in clinical settings. GLV-1 h68 (proprietary name GL-ONC1) carries three separate transgenic expression cassettes (encoding β-glucuronidase, β-galactosidase, as well as the Ruc-GFP marker gene) inserted into a vaccinia virus (VACV) backbone derived from the Lister strain which has demonstrated its safety throughout years serving as a major smallpox vaccine. These triple insertions reduce the replication of GLV-1 h68 in healthy cells and favor its replication in tumor cells [11, 12]; beyond they also allow the monitoring of virus activities in cancer patients [13]. As this oncolytic virus is not targeted to a specific type of tumor, oncolytic activity has already been detected in a broad spectrum of tumor entities in preclinical models as well as in several clinical trials [13,14,15,16]. Moreover, combinatorial approaches with chemotherapy, radiation or targeted therapies have displayed synergistic antitumor activities [17,18,19,20,21].

Currently, there are three active clinical studies (NCT02759588, NCT02714374, NCT01766739) which employ GLV-1 h68/GL-ONC1. Virus delivery pathways include intraperitoneal, intrapleural, and intravenous delivery. Notably, early virus clearance constitutes a problem, especially when GLV-1 h68 is applied systemically/intravenously. As complement inhibition seems to play a crucial role in virus depletion following intravenous application [22], a new strategy is the application of an anti-C5-antibody (eculizumab) prior to virotherapy [NCT02714374]. Another recent approach to prevent intravascular virus clearance is to administer virus loaded cells as a carrier system for viral particles [23, 24]. Reasonable options for NENs constitute intravenous administrations as well as direct virus injections into the hepatic artery in case of liver involvement (NCT02749331, [9];). Further, intratumoral virus administrations or surgically guided administrations into the resection beds can be considered.

In this work, we now additionally have studied the combination of GLV-1 h68 with molecular targeted therapy (MTT). The mTOR inhibitor everolimus is approved as a treatment for advanced lung, pancreatic and intestinal NETs. This situation would be suitable for virotherapy to enter the clinical development in NEN therapy. Another option for MTT is the multi-kinase inhibitor sunitinib, which is approved for pancreatic NETs. However, recent studies show significantly longer progression free survival with everolimus used as a first line MTT in pancreatic NETs compared to sunitinib. Also, everolimus MTT was found to be significantly more efficient in non-pancreatic NETs, which is why the combinatorial treatment of GLV-1 h68 with everolimus was investigated here in a preferred way [25,26,27].

In this study, tumor cell lines originating from pancreatic NETs, lung NETs and intestinal NECs were evaluated for their susceptibility to vaccinia virus-mediated virotherapy. For this purpose, the lytic activity of GLV-1 h68 was measured, viral gene expression was visualized and virus replication was quantified. Beyond that, also a combinatorial treatment regimen being set up for the conjoint usage of GLV-1 h68 and everolimus was studied for its ability to deplete NEN tumor cells; besides, possible interactions between everolimus and replication of the oncolytic virus GLV-1 h68 were investigated also.

Methods

Oncolytic virus

The oncolytic vaccinia virus GLV-h168 was kindly provided by Genelux Corporation (San Diego, CA, USA). GLV-1 h68 is a genetically engineered OV originating from the vaccinia Lister strain and also known under the proprietary name GL-ONC1 [11]. It was genetically modified by inserting three transgenes allowing therapeutic monitoring in its genome; RUC-GFP is employed for monitoring via fluorescence microscopy in this study.

NET/NEC cell lines

The six cell lines derived from NENs are outlined in Table 1. H727, UMC-1, QGP-1, and NEC-DUE1 cells were maintained in RPMI-1640 medium (Gibco, Waltham, MA, USA) supplemented with 10% fetal calf serum (FCS, Biochrom, Berlin, Germany). BON-1 cells were cultured in Dulbecco’s modified Eagle’s Medium (DMEM, Sigma-Aldrich, St. Louis, MO, USA) supplemented with 10% FCS and HROC-57 cells required DMEM/F12 medium (Gibco) with 10% FCS. CV-1 African green monkey kidney cells were purchased from ATCC (CCL-70) and cultured in DMEM supplemented with 10% FCS. All cells were cultured at 37 °C and 5% CO2 in a humidified atmosphere and seeded in 6- and 24-well plates for the respective assays.

Table 1 NET/NEC cell lines employed in this study on GLV-1 h68 vaccinia virus therapy of neuroendocrine tumors
Full size table

Virus infections and everolimus treatment

For infection, cells were seeded 24 h before. GLV-1 h68 was diluted in the respective amount of DMEM supplemented with 2% (v/v) FCS to prepare the infection medium. The dilution ratio was calculated to ensure infection with a specific multiplicity of infection (MOI, effector target ratio, i.e. viral particles per cell). Cells were rinsed with phosphate buffered saline (PBS, Sigma-Aldrich) prior to infection, shortly before the respective amount of infection medium was added. Virus infection was allowed to take place for 1 h with swaying every 15 min. Then, infection medium was replaced with normal cell culture medium. Mock treatment was conducted with DMEM supplemented with 2% (v/v) FCS. For sole treatment with everolimus (Sellekchem, Munich, Germany), cell culture medium was replaced with medium containing everolimus at the respective concentration at 24 h post cell seeding. For combinatorial treatment with GLV-1 h68 and everolimus, infection medium was replaced with cell culture medium containing everolimus in the respective concentration.

Cell viability assays

To assess tumor cell viabilities at 72 and 96 h post infection (hpi), the Sulforhodamine B (SRB) assay was employed. This viability assay measures cell density compared to mock treatment by quantifying the number of adherent (viable) cells [34]. For this purpose, NET/NEC cells were seeded in 24-well plates and infected with OV, mock treated, treated with everolimus or OV and everolimus together. At the respective time point of analysis (at 72/96 hpi), cells were fixed with 10% (v/v) trichloroacetic acid (Carl Roth, Karlsruhe, Germany) after rinsing them with 4 °C cold PBS. Fixation was allowed for at least 30 min at 4 °C. Next, cell cultures were washed with water. Then, fixed cells were stained with SRB dye (0.4% (w/v) in 1% (v/v) acetic acid; Sigma-Aldrich) for at least 10 min and rinsed afterwards with 1% (v/v) acetic acid (VWR, Radnor, PA, USA) to remove unbound SRB dye. After drying for another 24 h, 10 mM TRIS base (pH 10.5; Carl Roth) was added to solve remaining SRB dye. To measure the amount of bound SRB dye, the absorbance of the inoculum at a wavelength of 550 nm was determined in duplicates (using a Tecan Genios Plus Microplate Reader). As the SRB dye binds to cellular proteins, the absorbance correlates with cell density. In the figures, cell density of mock treated cells was adjusted as 100%; percentages refer to mock treatment.

Microscopy

For microscopy, an Olympus IX 50 microscope with a PhL phase contrast filter and a fluorescence filter for GFP detection was used. Pictures were taken with the F-View Soft Imaging System (Olympus) and were colored and overlaid afterwards with the analySIS image-processing software and Apple Preview 10.0 software.

Real-time cell monitoring assay

H727 cells were seeded in 96-well plates (E-Plate 96, Roche Applied Science, Mannheim, Germany). The xCELLigence RTCA SP system (Roche Applied Science) was employed to observe impedance of the cell layer in 30 min intervals over 120 h. 24 h after seeding, cells were infected with GLV-1 h68 using MOIs 0.1 and 0.25 or treated with 0.1% (v/v) Triton for lysis control. The measured impedance was used to calculate Cell Index values with the RTCA Software (1.0.0.0805).

Virus plaque assays

Plaque assays were conducted in order to determine the concentration of viral particles in cell cultures as described previously [11]. H727 and BON-1 cells were seeded in 6-well plates and infected with MOIs which led to approx. 50% reduction of tumor cell densities. One hour after virus infection, plates were carefully washed with PBS to remove all extracellular viral particles; then culture medium was added. Every 24 h and at 1 hpi, infected cells and medium were harvested by scraping them into the culture medium. Subsequently, the harvested samples were frozen at − 80 °C. For analysis of the samples, the CV-1 indicator cells were infected with the frozen samples. For this purpose, thawed samples were titrated in duplicates in 10-fold dilutions (10− 1 to 10− 6) on the indicator cells. Cells were incubated for 1 h and plates were moved every 15 min to ensure sufficient virus infection. Next, cells were overlaid with 1 ml of 1.5% (w/v) carboxymethylcellulose (CMC, Sigma-Aldrich) in DMEM with 5% (v/v) FCS and 1% (v/v) Pen/Strep per well. As the CMC medium prevents viral spread through the culture medium, each infective viral particle creates a plaque by radial infective spread after 48 h. After 48 h, cell layers were stained with crystal violet staining solution (0.1% (w/v) in 5% (v/v) ethanol, 10% (v/v) formaldehyde, Fluka Chemie AG) for 4 h. Then, the culture plate was washed with water and plaques could be counted. With the plaque count and titrated dilutions, viral titers (plaque forming units (PFU) per ml) could be calculated.

Statistical analysis

Results of SRB viability assays regarding GLV-1 h68 monotherapy were found to be equally distributed with inhomogeneous variations and were statistically analyzed using a Welch’s ANOVA and Dunnett T3-test for inhomogeneous variations. For combinatorial therapy with everolimus, a two tailed t-test for independent samples with inhomogeneous variations was conducted for samples requiring statistical analysis. P values ≤0.05 were set statistically significant and IBM SPSS Statistics Version 26 was used.

Results

Virotherapy with GLV-1 h68

First, effects of a monotherapy of the six NET/NEC cell lines employing the vaccinia virus vector GLV-1 h68 were studied. In this purpose, SRB viability assays were conducted to evaluate cytostatic and cytotoxic effects of the OV on neuroendocrine cancer cells and to identify oncolysis-sensitive and -resistant tumor cell lines. Further, microscopic fluorescence pictures were taken to visualize oncolysis and directly detect and prove virotherapeutic vector-based transgene (GFP) expression. Next, a real-time cell monitoring assay was employed to distinguish between cytostatic and cytotoxic nature of the effect and study the dose dependency of this circumstance. Finally, the production of viral progeny, which forms the basis of the intratumoral infectious spread of an OV, was studied by assessing virus titers sequentially over time.

Oncolysis with GLV-1 h68

All NET/NEC cell lines were infected with multiplicities of infection (MOIs) of GLV-1 h68 in logarithmic steps, ranging from 0.0001 to 1. Taking the first results of the SRB viability assays into account, the MOIs were modified by adding MOI 0.5 instead of MOI 0.0001 for all cell lines except BON-1; MOIs 0.025 and 0.05 were added for BON-1 cells, while MOIs 0.0001 and 0.001 were left out. A threshold for clinically relevant anti-tumor activities was set at 60% of tumor cells being residual in SRB viability assays after an infection period of 96 h (Fig. 1, dotted horizontal lines). Three categories to classify cellular response to GLV-1 h68 virotherapy were introduced: (i) highly permissive cell lines, meeting the 60% threshold with MOI 0.1 or less after 96 h; (ii) permissive cell lines requiring MOI 0.5 to meet the threshold at 96 hpi, and (iii) resistant cell lines which required more than MOI 0.5 to meet the threshold at 96 hpi.

Fig. 1
figure 1

Oncolysis with GLV-1 h68. SRB viability assays employing oncolytic vaccinia virus vector GLV-1 h68 on the NET/NEC cell line panel of six different tumor cell lines originating from different neuroendocrine neoplasms. Lung NET cell lines are shown in the upper panel (a, b), pancreatic NET cell lines in the middle (c, d), and intestinal NEC cell lines in the lower panel (e, f). Analysis was performed at 96 hpi. H727, BON-1 and HROC-57 cells were found to be highly permissive; UMC-11, QGP-1, and NEC-DUE1 cells were classified as permissive. BON-1 cells exhibited a quite strong response, requiring only MOI 0.01 to reach the threshold of 60% remaining tumor cells. Four independent experiments (six for UMC-11 cells) were carried out in quadruplicates; bars show mean and SD. The lowest MOI being significantly superior to mock treatment is indicated with * p < 0.01 or ** p < 0.001. Higher MOIs of the same cell line were also found to be significantly superior to mock treatment

Full size image

It was found that GLV-1 h68 is able to infect and kill all six NET/NEC cell lines, requiring different MOIs for the same effect. For all tumor cell lines, a dose dependency was observed, meaning that a higher MOI resulted in a lower number of residual tumor cells at the end of the observation period, i.e. at 96 hpi. As a result, three highly permissive, three permissive and no resistant cell lines could be identified. BON-1 pancreatic NET (pNET) cells were found to be most sensitive to GLV-1 h68-mediated oncolysis, exhibiting a remaining tumor cell mass of 60% at 96 hpi when using a MOI of only 0.01 (Fig. 1c). For all other NET/NEC cell lines higher MOIs had to be applied in order to meet the 60% threshold at 96 hpi: MOI 0.1 was sufficient for H727 and HROC-57 cells (Fig. 1a and e); accordingly, BON-1, H727, and HROC-57 cells were classified as highly permissive. In contrast, UMC-11, QGP-1, and NEC-DUE1 cells required MOI 0.5 and were classified as permissive. An equal response pattern could be found in all three permissive cell lines. All three showed a significant reduction of remnant tumor cells with MOI 0.1 and met the threshold with MOI 0.5. Finally, a remaining tumor cell count of approx. 15% was reached with MOI 1 in all three cell lines (Fig. 1b, d, and e).

Overall, GLV-1 h68 was able to reduce the tumor cell masses to a minimum of less than 10% in 3 out of 6 NET/NEC cell lines.

In summary, no neuroendocrine cancer cell line turned out to be resistant to GLV-1 h68-mediated oncolysis. The three highly permissive cell lines were found to be BON-1 originating from a pNET, HROC-57 originating from a colon NEC and the lung NET derived cell line H727. Given that the three other cell lines showed very similar responses, no obvious relation between anatomical origin and treatment response could be identified in this experiment.

Microscopy of GLV-1 h68-mediated NET/NEC cell oncolysis

As GLV-1 h68 encodes a fluorescent GFP transgene for therapeutic monitoring, microscopic pictures were taken to prove viral infection and replication via transgene expression and observation of cell layer densities (Figs. 2 and S1). The same MOIs as in the SRB viability assay (Fig. 1) were applied. As a result, a loss of cell density could be observed in all infected neuroendocrine cancer cell lines, consistent with results from the SRB viability assay, where all tumor cell lines were found to respond to virus infections. Moreover, all analyzed NET/NEC cell lines were found to express the GFP transgene when being infected with GLV-1 h68. Of note, lower cell confluency and intensities of the fluorescence signals were found to correlate to the MOIs being applied (Figs. 2 and S1). This does not apply for HROC-57 cells, as the confluency was also low in uninfected cells (mock). However, with the highly permissive cell lines (H727, BON-1, HROC-57), the highest MOI displayed lower transgene expression, most likely because of a high rate of oncolysis and therefore a lower cell count expressing the fluorescent GFP transgene. This phenomenon is also visible with permissive QGP-1 cells and on the respective pictures taken at 72 hpi, although to a lesser extent (Figure S1). Mock treatment did not display any fluorescence at all.

Fig. 2
figure 2

Microscopy of viral transgene expression. Fluorescence microscopy of the NET/NEC panel infected with oncolytic vaccinia virus vector GLV-1 h68. Phase contrast and fluorescence pictures were taken at 96 hpi and overlaid. From top to bottom, MOIs decrease and match the MOIs used in the respective SRB viability assays (Fig. 1). When using higher MOIs, infected cells displayed higher transgene expression. In BON-1, HROC-57, and QGP-1 cells, being highly permissive or permissive to GLV-1 h68 oncolysis, tumor cell killing already had been accomplished at 96 hpi resulting in lower GFP signals using high MOIs. No viral transgene expression could be observed in mock samples

Full size image

Real-time cell monitoring

To precisely investigate the nature of the effect of GLV-1 h68 on neuroendocrine cancer cells, a real-time cell monitoring assay was employed. The lung NET cell line H727 was picked as representative cell line because it showed a stable, average response to GLV-1 h68 in the experiments described above. Two MOIs (0.1 and 0.25), which resulted in remaining tumor cell numbers of around 50% according to SRB viability assay performed at 96 hpi, were chosen for infection. The xCELLigence RTCA assay measures cellular impedance, which was shown to correlate with cell number, cell size/morphology and cell attachment quality [35]. Taking the previous SRB viability assays and applied cell lysis control with Triton X-100 into account, the Cell Index can be seen as a surrogate for cell viability in this context.

Different treatment modalities were initiated at 24 h after cell seeding. As expected, treatment with the cell lysis control Triton X-100 immediately resulted in a complete tumor cell lysis (Fig. 3; green dotted line). In contrast, virus infections showed similar results to mock treatment in the first 24 hpi. In the further course of the experiment, the impedance of infected cells decreased continuously, indicating not only a cytostatic but also a cytotoxic effect of GLV-1 h68. The higher MOI (0.25) results in lower cell viability in the end, but not in a faster mechanism of action, also showing the first impairment of tumor cell growth at 24 hpi and the peak of cell viability at 36 hpi (Fig. 3; line with grey squares). Taken together, GLV-1 h68 was proven to exhibit a pronounced oncolytic effect on the neuroendocrine tumor cell line H727 and also a dependency on the infectious dose being applied. Thus, findings of the SRB viability assay could be confirmed.

Fig. 3
figure 3

Real time cell monitoring of OV monotherapy and combinatorial approaches. Development of tumor cell viability during the treatment. Continuous measurement of cellular impedance (Cell Index) was conducted via xCELLigence assay over 120 h. Different treatments (GLV-1 h68 infection, Triton X-100, or mock treatment) were performed at 24 h and H727 lung NET cells were employed. Tumor cells were infected with different MOIs of GLV-1 h68. GLV-1 h68 was found to exhibit dose dependent cytotoxic effects on the NET cells, showing a reduction of cellular impedance over time which was found to be pronounced with higher MOI (0.25). The experiment was carried out in quadruplicates, bars show mean and SD

Full size image

Virus titer quantification

As the production of viral progeny is an important step in the underlying mechanism of oncolytic virotherapy, virus titers obtained by neuroendocrine cancer host cells were sequentially determined every 24 h during the whole period of infection. Hence, the lung NET cell line H727 (Fig. 4a) and the pNET cell line BON-1 (Fig. 4b), which was found to be the tumor cell line being most sensitive to GLV-1 h68 treatment, were picked to further investigate tumor cells being established from different anatomical origins. Both NET cell lines were infected with MOIs achieving around 50% reductions of tumor cell counts in the SRB viability assays. Shortly after virus infection, all extracellular viral particles were removed so that only viral particles which had already entered the cells after a 1-h infection period could produce viral progeny.

Fig. 4
figure 4

Virus quantification of OV monotherapy. Virus titer growth curves performed for oncolytic vaccinia virus vector GLV-1 h68 using representative NET cell lines of lung (H727) and pancreatic (BON-1) origin. For both cell lines, a 10,000-fold rise in viral titers could be observed during the first 48 h and titers higher than 107 PFU/ml were reached. Then, viral growth was found to stagnate, being due to oncolytic reduction of virus host cell counts. Plaque forming units (PFU) were determined every 24 h; samples were analyzed in duplicates; experiments were performed twice; one representative result is shown

Full size image

As a result, high levels of viral replication could be detected in both tumor cell lines (Fig. 4). Titers over 107 plaque forming units (PFU)/ml were easily reached within 72 h. A stagnation of virus titer growth could be observed for H727 after 72 h and a reduction of viral titer between 72 and 96 h was detected with BON-1 cells.

Combinatorial treatment with everolimus

Next, a combinatorial treatment with the mTOR inhibitor everolimus was evaluated by comparing a combinatorial approach (GLV-1 h68 + everolimus) to GLV-1 h68 monotherapy. In this purpose, SRB viability assay and virus quantification were conducted.

Oncolysis with GLV-1 h68 and everolimus

SRB viability assays were carried out using the lung NET cell line H727 and the NEC cell line NEC-DUE1, which both are tumor cell lines being generated from different anatomical origins. H727 cells were classified as highly permissive to GLV-1 h68 monotherapy whereas NEC-DUE1 cells were classified as permissive (Fig. 1). Again, MOIs leading to around 50% tumor cell reductions were chosen (0.1 and 0.25 for H727; 0.25 and 0.5 for NEC-DUE1). Everolimus was administered in concentrations of 1 nM for H727 cells and 0.25 nM for NEC-DUE1 cells, respectively.

As a result, the addition of GLV-1 h68 to sole everolimus treatment was found to be able to further reduce the remaining tumor cell count (Fig. 5). This was observed in both cell lines tested and with both MOIs employed in each cell line. With both cell lines, no statistical significance was found for the addition of the respective lower MOI to Everolimus treatment alone (p > 0.05). By adding MOI 0.25 for H727 cells and MOI 0.5 for NEC-DUE1 cells, the combinatorial treatment was able to reduce tumor cells significantly more than Everolimus alone (Fig. 5).

Fig. 5
figure 5

Cytotoxicity of combinatorial therapy. SRB viability assays employing the mTOR inhibitor everolimus, oncolytic vaccinia virus vector GLV-1 h68 and combination of both. H727 cells originating from a lung NET and the NEC-derived NEC-DUE1 cell line were employed and analysis was performed at 96 hpi. With both cell lines, combinatorial treatment with everolimus was found to be slightly more effective than single agent treatment with either everolimus or GLV-1 h68 alone. In both cell lines and for both MOIs tested, the addition of everolimus to GLV-1 h68 further reduced the remaining tumor cell count. Experiments were carried out in quadruplicates; bars show mean and SD. * p < 0.01; ** p < 0.001

Full size image

With H727 cells, the addition of MOI 0.25 to Everolimus reduced the remaining tumor cell count by 11% from 65 to 54%. Interestingly, the benefit of the combinatorial therapy appeared to be more pronounced in NEC-DUE1 cells. By adding MOI 0.5 to Everolimus treatment alone, the remnant tumor cells were reduced by 17% from 59 to 42%. However, the extent of this effect was limited, thereby not representing any additive mechanism of action.

Virus titer quantification

To investigate whether everolimus has any impact on virus replication, virus titers were assessed when GLV-1 h68 was employed in a combinatorial setting with everolimus (Fig. 6, dotted lines). In both NET cell lines (H727, BON-1), where virus replication was determined previously, everolimus did not affect the production of viral progeny in any way.

Fig. 6
figure 6

Virus quantification of the combinatorial approach. Virus titer growth curves were performed with H727 and BON-1 tumor cells under the same conditions in presence of everolimus (added at 1 hpi). Previous results from monotherapy (Fig. 4) are shown (solid lines). Interestingly, everolimus did not alter viral replication in any significant way (dotted lines). Plaque forming units (PFU) were determined every 24 h; samples were analyzed in duplicates; experiments were performed twice; one representative result is shown

Full size image

Taking the results from both assays into account, the final benefit of the combinatorial therapy after 96 h is visible but only small. Everolimus did not limit virus replication in a particular way. Given that evidence base, the combinatorial therapy of GLV-1 h68 with everolimus was not found to be inferior to either monotherapy and can be regarded as a possible future combinatorial treatment option for metastatic neuroendocrine cancer.

Discussion

Oncolytic virotherapy constitutes a novel therapeutic strategy to overcome treatment limitations and resistance in advanced stage tumors. Its mechanism of action comprises a tumor selective viral infection and subsequent oncolysis of tumor cells. Tumor selectivity of vaccinia viruses (VACVs) relies on multiple mechanisms which are closely related to the underlying characteristics of cancer. Most tumor cells fail to activate signaling pathways like interferon (IFN) or apoptosis pathways as a response to viral infection. Several other mechanism for tumor selectivity of VACVs have been described [36]. By selecting the most efficient virus strain and inserting several genes in different replication cassettes, GLV-1 h68 was modified to be attenuated in healthy cells and its replication was found to be mainly selective to tumor cells. In line with the basic characteristics of VACVs, GLV-1 h68 has the advantage of a stable cytoplasmic replication which avoids further virus-driven mutations in cancer cells or healthy cells [37]. In addition, the excellent safety profile of these VACVs is marked with years of clinical experience serving as smallpox vaccines as well as a preclinically well-established replication cycle [38]. Further, VACVs have no natural pathogenic potential in humans.

However, the key mechanism of oncolytic virotherapy is thought to be a secondary immune response induced by the inflamed lytic tumor microenvironment. The release of tumor antigens and inflammatory cytokines disables immune evasion mechanisms of the tumor and facilitates profound antitumor immune responses [39]. This effect was observed earlier when it was found that not only VACV-injected melanoma metastases decreased in size, but also non-injected distant lesions responded to virotherapy with a granulocyte-macrophage colony-stimulating factor (GM-CSF)-expressing vaccinia virus [40]. Both, a response of the innate immune system mediated by NK-cells, neutrophils and macrophages as well as an adaptive immunity facilitated by antigen-presenting cells and subsequent tumor-infiltrating CD8+ cells have been described after GLV-1 h68 treatment [41]. Obviously, this secondary immune-mediated mechanism is complicated to mimic in an in vitro setting. However, since GLV-1 h68 and other VACVs were reported to induce immunogenic cell death previously, the extent of direct tumor cell lysis can be regarded as a crucial factor in initiating an antitumor immunity [42, 43].

In this work, the potential of GLV-1 h68 to kill cells originating from neuroendocrine cancer has been demonstrated. GLV-1 h68 exhibited stable cytotoxicity throughout neuroendocrine cancer cells from several anatomical origins (Fig. 1). Susceptibility to GLV-1 h68 treatment was found to be dose dependent. Different responses of the variety of tumor cell lines was noted but could not be tracked back to a certain anatomical origin. In summary, three cell lines were found to be highly permissive, three were classified as permissive, and no cell line was found to be resistant to GLV-1 h68 monotherapy.

It was shown earlier that cellular response to GLV-1 h68 treatment depends on pleiotropic factors such as transcriptional patterns, cellular innate immunity pathways, efficiency of viral replication or proliferation rate [44]. Also, viral cytotoxicity was correlated with a strong transgene expression. Highly permissive cell lines (H727, BON-1, HROC-57) displayed GFP expression even at very low MOIs, whereas transgene expression was only observed with higher MOIs in permissive cell lines (UMC-11, QGP-1, NEC-DUE1) (Fig. 2). For the representative NET cell line H727, a fast mechanism of action of GLV-1 h68 therapy could be proven, resulting in a strong cytolytic response beginning as early as 36 h after virus infection (Fig. 3).

Moreover, a strong virus replication was shown in both NET cell lines tested, reaching virus titers higher than 107 PFU/ml at 72 hpi (Fig. 4). The stagnation in virus titer growth after 72 h was explained by the efficient oncolytic depletion of tumor cells, resulting in significantly lower numbers of host cells being available for viral replication. Even a virus titer reduction from 72 to 96 h could be observed in BON-1 cells (Fig. 4b), since BON-1 cells were found to be most permissive to tumor cell killing. In summary, efficient production of viral progeny creates the basis for viral spread throughout the tumor, subsequent virus infection, following immunogenic cell death and induction of systemic anti-tumor immune responses.

Taken together, these results provide evidence for significant oncolytic effects in neuroendocrine cancer cells obtained by the vaccinia virus-based vector GLV-1 h68. Comparing these results to other OVs already tested in neuroendocrine neoplasms, GLV-1 h68 showed favorable cytotoxicity for pNETs and NECs. The oncolytic herpes simplex virus T-VEC, which is clinically approved for treatment of advanced melanoma, was found to be particular effective in lung and pancreatic NETs previously, thereby requiring lower MOIs than GLV-1 h68 for a relevant cytotoxicity [7]. Another OV which is currently under clinical investigation for treatment of liver metastases of NETs is the adenovirus AdVince (NCT02749331). In a previous preclinical evaluation, AdVince required a MOI of at least 1 to reduce cell viability of primary cells derived from metastatic small intestinal NETs [9]. The in vitro results for all three OVs are reasonably encouraging, however requiring further evaluation in animal trials or combinatorial treatment regimens.

This raises the question whether or not the combination with a clinically approved treatment, such as with the mTOR inhibitor compound everolimus, could augment effects of oncolysis in our panel of human NET/NEC cell lines, thus opening up novel treatment procedures for this unique tumor entity.

Everolimus was tested for its effect on viral replication to exclude any restrictions on replication of GLV-1 h68 in a combinatorial treatment regimen. It was found that everolimus does not influence GLV-1 h68 replication in a negative way (Fig. 4). However, combinatorial treatment was slightly superior and significantly more effective than any single agent treatment (Fig. 5). This makes this treatment modality feasible for further investigations. Of note, previous studies regarding the combinatorial therapy of VACVs with the mTOR inhibitor rapamycin, had resulted in the detection of synergistic effect. Both, everolimus and rapamycin target and inhibit mTORC1. The synergistic effects were explained by the effect of mTORC1 inhibition on antiviral immunity. It was found that mTORC1 downstream signaling via p70S6K/4E-BP1 influences cellular type I IFN response. Therefore, mTORC1 inhibition can make tumor cells more susceptible to VACV infection. In vivo, antiviral T-cell responses can be reduced by mTOR inhibitors, which also makes viral infections more effective [45,46,47]. These studies were conducted with malignant glioma models. In our study, these results could not be translated to neuroendocrine neoplasms, where the mTOR pathway might play another role in tumorigenesis. As both agents interfere with the immune system, further in vivo studies with immunocompetent animals have to be conducted to cover the whole range of mechanisms of action for this distinct combinatorial therapy.

Another possibility for combinatorial treatment with GLV-1 h68 could be the usage of the multi-kinase inhibitor sunitinib, which was shown to exhibit synergistic effects together with VACV virotherapy recently. This is explained by multiple mechanisms such as suppression of viral resistance, increased leakiness of tumor vasculature and therefore more effective viral infection and increased CD8+ T-cell recruitment [48].

For advanced NECs, the first line therapy constitutes a traditional chemotherapy employing cisplatin and etoposide. A previous study on pancreatic carcinoma showed benefits of the combination of GLV-1 h68 and cisplatin in nude mice [49]. In a phase 1 clinical trial, GL-ONC1, the proprietary name of GMP-derived material of oncolytic vaccinia virus GLV-1 h68, was added to cisplatin chemotherapy for head and neck squamous cell carcinoma, but only with limited success [14].

Nonetheless, the combination of immunotherapy and in particular virotherapy with cytotoxic chemotherapy is heavily discussed [50]. Advantages of this combination were found to be highly depending on the dosing scheme and time interval [51, 52]. It is also conceivable that cytotoxic chemotherapy limits the secondary antitumor immune response after virotherapy in immunocompetent animals and humans. In this line, ChemoVirotherapy combinations have not been examined in this work, but should be investigated in future work.

Conclusions

In summary, this study created a very first basis for the development of GLV-1 h68 virotherapy in advanced neuroendocrine neoplasms. Future research has to confirm these preliminary findings in animal models and more realistic human tumor models, such as human NEN-derived organoids.

Availability of data and materials

All datasets generated and/or analysed during this study are available from the corresponding author on reasonable request.

Abbreviations

ATCC:

American Type Culture Collection

CD:

Cluster of differentiation

CMC:

Carboxymethylcellulose

DMEM:

Dulbecco’s modified eagle’s medium

FCS:

Fetal calf serum

GFP:

Green fluorescent protein

GM-CSF:

Granulocyte-macrophage colony-stimulating factor

hpi:

Hours post infection

IFN:

Interferon

MOI:

Multiplicity of infection

mTOR:

Mechanistic target of rapamycin

mTORC1:

Mechanistic target of rapamycin complex 1

MTT:

Molecular targeted therapy

NEC:

Neuroendocrine carcinoma

NEN:

Neuroendocrine neoplasia

NET:

Neuroendocrine tumor

NK-cell:

Natural killer cell

OV:

Oncolytic virus

PBS:

Phosphate buffered saline

Pen/Strep:

Penicillin-Streptomycin

PFU:

Plaque forming units

pNET:

Pancreatic neuroendocrine tumor

RPMI:

Cell culture medium developed at the Roswell Park Memorial Institute

RUC-GFP:

Renilla luciferase-Aequorea green fluorescent protein

SD:

Standard deviation

SRB:

Sulforhodamine B

TRIS:

Tris (hydroxymehtyl) aminomethane

VACV:

Vaccinia virus

References

  1. Huguet I, Grossman AB, O'Toole D. Changes in the epidemiology of neuroendocrine Tumours. Neuroendocrinology. 2017;104(2):105–11.

    CAS  PubMed  Google Scholar 

  2. Pavel M, de Herder WW. ENETS consensus guidelines for the standard of Care in Neuroendocrine Tumors. Neuroendocrinology. 2017;105(3):193–5.

    CAS  PubMed  Google Scholar 

  3. Auernhammer CJ, Spitzweg C, Bock S, Knosel T, Bartenstein P. Current standards and novel developments in the treatment of neuroendocrine tumors of the gastroenteropancreatic system. Dtsch Med Wochenschr. 2019;144(20):1390–5.

    CAS  PubMed  Google Scholar 

  4. Grillo F, Florio T, Ferrau F, Kara E, Fanciulli G, Faggiano A, Colao A, Group N. Emerging multitarget tyrosine kinase inhibitors in the treatment of neuroendocrine neoplasms. Endocr Relat Cancer. 2018;25(9):R453–66.

    PubMed  Google Scholar 

  5. Jin XF, Auernhammer CJ, Ilhan H, Lindner S, Nolting S, Maurer J, Spottl G, Orth M. Combination of 5-fluorouracil with epigenetic modifiers induces Radiosensitization, Somatostatin receptor 2 expression, and Radioligand binding in neuroendocrine tumor cells in vitro. J Nucl Med. 2019;60(9):1240–6.

    CAS  PubMed  Google Scholar 

  6. Aristizabal Prada ET, Auernhammer CJ. Targeted therapy of gastroenteropancreatic neuroendocrine tumours: preclinical strategies and future targets. Endocr Connect. 2018;7(1):R1–R25.

    CAS  PubMed  Google Scholar 

  7. Kloker LD, Berchtold S, Smirnow I, Schaller M, Fehrenbacher B, Krieg A, Sipos B, Lauer UM. The Oncolytic Herpes Simplex Virus Talimogene Laherparepvec shows promising efficacy in neuroendocrine cancer cell lines. Neuroendocrinology. 2019;109(4):346–61.

    CAS  PubMed  Google Scholar 

  8. Essand M. Virotherapy of neuroendocrine tumors. Neuroendocrinology. 2013;97(1):26–34.

    CAS  PubMed  Google Scholar 

  9. Yu D, Leja-Jarblad J, Loskog A, Hellman P, Giandomenico V, Oberg K, Essand M. Preclinical evaluation of AdVince, an Oncolytic adenovirus adapted for treatment of liver metastases from neuroendocrine Cancer. Neuroendocrinology. 2017;105(1):54–66.

    CAS  PubMed  Google Scholar 

  10. Rudin CM, Poirier JT, Senzer NN, Stephenson J Jr, Loesch D, Burroughs KD, Reddy PS, Hann CL, Hallenbeck PL. Phase I clinical study of Seneca Valley virus (SVV-001), a replication-competent picornavirus, in advanced solid tumors with neuroendocrine features. Clin Cancer Res. 2011;17(4):888–95.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Zhang Q, Yu YA, Wang E, Chen N, Danner RL, Munson PJ, Marincola FM, Szalay AA. Eradication of solid human breast tumors in nude mice with an intravenously injected light-emitting oncolytic vaccinia virus. Cancer Res. 2007;67(20):10038–46.

    CAS  PubMed  Google Scholar 

  12. Zhang Q, Liang C, Yu YA, Chen N, Dandekar T, Szalay AA. The highly attenuated oncolytic recombinant vaccinia virus GLV-1h68: comparative genomic features and the contribution of F14.5L inactivation. Mol Gen Genomics. 2009;282(4):417–35.

    CAS  Google Scholar 

  13. Lauer UM, Schell M, Beil J, Berchtold S, Koppenhofer U, Glatzle J, Konigsrainer A, Mohle R, Nann D, Fend F, et al. Phase I study of oncolytic vaccinia virus GL-ONC1 in patients with peritoneal carcinomatosis. Clin Cancer Res. 2018;24(18):4388–98.

    CAS  PubMed  Google Scholar 

  14. Mell LK, Brumund KT, Daniels GA, Advani SJ, Zakeri K, Wright ME, Onyeama SJ, Weisman RA, Sanghvi PR, Martin PJ, et al. Phase I trial of intravenous Oncolytic Vaccinia virus (GL-ONC1) with Cisplatin and radiotherapy in patients with Locoregionally advanced Head and neck carcinoma. Clin Cancer Res. 2017;23(19):5696–702.

    CAS  PubMed  Google Scholar 

  15. Lin SF, Price DL, Chen CH, Brader P, Li S, Gonzalez L, Zhang Q, Yu YA, Chen N, Szalay AA, et al. Oncolytic vaccinia virotherapy of anaplastic thyroid cancer in vivo. J Clin Endocrinol Metab. 2008;93(11):4403–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Pugalenthi A, Mojica K, Ady JW, Johnsen C, Love D, Chen NG, Aguilar RJ, Szalay AA, Fong Y. Recombinant vaccinia virus GLV-1h68 is a promising oncolytic vector in the treatment of cholangiocarcinoma. Cancer Gene Ther. 2015;22(12):591–6.

    CAS  PubMed  Google Scholar 

  17. Hofmann E, Weibel S, Szalay AA. Combination treatment with oncolytic Vaccinia virus and cyclophosphamide results in synergistic antitumor effects in human lung adenocarcinoma bearing mice. J Transl Med. 2014;12:197.

    PubMed  PubMed Central  Google Scholar 

  18. Wilkinson MJ, Smith HG, Pencavel TD, Mansfield DC, Kyula-Currie J, Khan AA, McEntee G, Roulstone V, Hayes AJ, Harrington KJ. Isolated limb perfusion with biochemotherapy and oncolytic virotherapy combines with radiotherapy and surgery to overcome treatment resistance in an animal model of extremity soft tissue sarcoma. Int J Cancer. 2016;139(6):1414–22.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Kyula JN, Khan AA, Mansfield D, Karapanagiotou EM, McLaughlin M, Roulstone V, Zaidi S, Pencavel T, Touchefeu Y, Seth R, et al. Synergistic cytotoxicity of radiation and oncolytic Lister strain vaccinia in (V600D/E) BRAF mutant melanoma depends on JNK and TNF-alpha signaling. Oncogene. 2014;33(13):1700–12.

    CAS  PubMed  Google Scholar 

  20. Binz E, Berchtold S, Beil J, Schell M, Geisler C, Smirnow I, Lauer UM. Chemovirotherapy of pancreatic adenocarcinoma by combining Oncolytic Vaccinia virus GLV-1h68 with nab-paclitaxel plus gemcitabine. Mol Ther Oncolytics. 2017;6:10–21.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Advani SJ, Buckel L, Chen NG, Scanderbeg DJ, Geissinger U, Zhang Q, Yu YA, Aguilar RJ, Mundt AJ, Szalay AA. Preferential replication of systemically delivered oncolytic vaccinia virus in focally irradiated glioma xenografts. Clin Cancer Res. 2012;18(9):2579–90.

    PubMed  Google Scholar 

  22. Evgin L, Acuna SA, Tanese de Souza C, Marguerie M, Lemay CG, Ilkow CS, Findlay CS, Falls T, Parato KA, Hanwell D, et al. Complement inhibition prevents oncolytic vaccinia virus neutralization in immune humans and cynomolgus macaques. Mol Ther. 2015;23(6):1066–76.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Kim J, Hall RR, Lesniak MS, Ahmed AU. Stem cell-based cell carrier for targeted Oncolytic Virotherapy: translational opportunity and open questions. Viruses. 2015;7(12):6200–17.

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Minev BR, Lander E, Feller JF, Berman M, Greenwood BM, Minev I, Santidrian AF, Nguyen D, Draganov D, Killinc MO, et al. First-in-human study of TK-positive oncolytic vaccinia virus delivered by adipose stromal vascular fraction cells. J Transl Med. 2019;17(1):271.

    PubMed  PubMed Central  Google Scholar 

  25. Daskalakis K, Tsoli M, Angelousi A, Kassi E, Alexandraki K, Kolomodi D, Kaltsas G, Koumarianou A. Anti-tumour activity of everolimus and sunitinib in neuroendocrine neoplasms. Endocr Connect. 2019;8(6):641–53.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Yoo C, Cho H, Song MJ, Hong SM, Kim KP, Chang HM, Chae H, Kim TW, Hong YS, Ryu MH, et al. Efficacy and safety of everolimus and sunitinib in patients with gastroenteropancreatic neuroendocrine tumor. Cancer Chemother Pharmacol. 2017;79(1):139–46.

    CAS  PubMed  Google Scholar 

  27. Angelousi A, Kamp K, Kaltsatou M, O'Toole D, Kaltsas G, de Herder W. Sequential Everolimus and Sunitinib treatment in pancreatic metastatic well-differentiated neuroendocrine Tumours resistant to prior treatments. Neuroendocrinology. 2017;105(4):394–402.

    CAS  PubMed  Google Scholar 

  28. Takahashi T, Nau MM, Chiba I, Birrer MJ, Rosenberg RK, Vinocour M, Levitt M, Pass H, Gazdar AF, Minna JD. p53: a frequent target for genetic abnormalities in lung cancer. Science. 1989;246(4929):491–4.

    CAS  PubMed  Google Scholar 

  29. Giaccone G, Battey J, Gazdar AF, Oie H, Draoui M, Moody TW. Neuromedin B is present in lung cancer cell lines. Cancer Res. 1992;52(9 Suppl):2732s–6s.

    CAS  PubMed  Google Scholar 

  30. Evers BM, Ishizuka J, Townsend CM Jr, Thompson JC. The human carcinoid cell line, BON. A model system for the study of carcinoid tumors. Ann N Y Acad Sci. 1994;733:393–406.

    CAS  PubMed  Google Scholar 

  31. Kaku M, Nishiyama T, Yagawa K, Abe M. Establishment of a carcinoembryonic antigen-producing cell line from human pancreatic carcinoma. Gan. 1980;71(5):596–601.

    CAS  PubMed  Google Scholar 

  32. Linnebacher M, Maletzki C, Ostwald C, Klier U, Krohn M, Klar E, Prall F. Cryopreservation of human colorectal carcinomas prior to xenografting. BMC Cancer. 2010;10:362.

    PubMed  PubMed Central  Google Scholar 

  33. Krieg A, Mersch S, Boeck I, Dizdar L, Weihe E, Hilal Z, Krausch M, Mohlendick B, Topp SA, Piekorz RP, et al. New model for gastroenteropancreatic large-cell neuroendocrine carcinoma: establishment of two clinically relevant cell lines. PLoS One. 2014;9(2):e88713.

    PubMed  PubMed Central  Google Scholar 

  34. Skehan P, Storeng R, Scudiero D, Monks A, McMahon J, Vistica D, Warren JT, Bokesch H, Kenney S, Boyd MR. New colorimetric cytotoxicity assay for anticancer-drug screening. J Natl Cancer Inst. 1990;82(13):1107–12.

    CAS  PubMed  Google Scholar 

  35. Xing JZ, Zhu L, Jackson JA, Gabos S, Sun XJ, Wang XB, Xu X. Dynamic monitoring of cytotoxicity on microelectronic sensors. Chem Res Toxicol. 2005;18(2):154–61.

    CAS  PubMed  Google Scholar 

  36. Kirn DH, Thorne SH. Targeted and armed oncolytic poxviruses: a novel multi-mechanistic therapeutic class for cancer. Nat Rev Cancer. 2009;9(1):64–71.

    CAS  PubMed  Google Scholar 

  37. Tolonen N, Doglio L, Schleich S, Krijnse LJ. Vaccinia virus DNA replication occurs in endoplasmic reticulum-enclosed cytoplasmic mini-nuclei. Mol Biol Cell. 2001;12(7):2031–46.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Walsh SR, Dolin R. Vaccinia viruses: vaccines against smallpox and vectors against infectious diseases and tumors. Expert Rev Vaccines. 2011;10(8):1221–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Worschech A, Chen N, Yu YA, Zhang Q, Pos Z, Weibel S, Raab V, Sabatino M, Monaco A, Liu H, et al. Systemic treatment of xenografts with vaccinia virus GLV-1h68 reveals the immunologic facet of oncolytic therapy. BMC Genomics. 2009;10:301.

    PubMed  PubMed Central  Google Scholar 

  40. Mastrangelo MJ, Maguire HC Jr, Eisenlohr LC, Laughlin CE, Monken CE, McCue PA, Kovatich AJ, Lattime EC. Intratumoral recombinant GM-CSF-encoding virus as gene therapy in patients with cutaneous melanoma. Cancer Gene Ther. 1999;6(5):409–22.

    CAS  PubMed  Google Scholar 

  41. Tsoneva D, Minev B, Frentzen A, Zhang Q, Wege AK, Szalay AA. Humanized mice with subcutaneous human solid tumors for immune response analysis of Vaccinia virus-mediated Oncolysis. Mol Ther Oncolytics. 2017;5:41–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Smith HG, Mansfield D, Roulstone V, Kyula-Currie JN, McLaughlin M, Patel RR, Bergerhoff KF, Paget JT, Dillon MT, Khan A, et al. PD-1 blockade following isolated limb perfusion with Vaccinia virus prevents local and distant relapse of soft-tissue sarcoma. Clin Cancer Res. 2019;25(11):3443–54.

    PubMed  Google Scholar 

  43. Tappe KA, Budida R, Stankov MV, Frenz T, Shah HR, Volz A, Sutter G, Kalinke U, GMN B. Immunogenic cell death of dendritic cells following modified vaccinia virus Ankara infection enhances CD8(+) T cell proliferation. Eur J Immunol. 2018;48(12):2042–54.

    CAS  PubMed  Google Scholar 

  44. Ehrig K, Kilinc MO, Chen NG, Stritzker J, Buckel L, Zhang Q, Szalay AA. Growth inhibition of different human colorectal cancer xenografts after a single intravenous injection of oncolytic vaccinia virus GLV-1h68. J Transl Med. 2013;11:79.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Ma XM, Blenis J. Molecular mechanisms of mTOR-mediated translational control. Nat Rev Mol Cell Biol. 2009;10(5):307–18.

    Google Scholar 

  46. Lun XQ, Jang JH, Tang N, Deng H, Head R, Bell JC, Stojdl DF, Nutt CL, Senger DL, Forsyth PA, et al. Efficacy of systemically administered oncolytic vaccinia virotherapy for malignant gliomas is enhanced by combination therapy with rapamycin or cyclophosphamide. Clin Cancer Res. 2009;15(8):2777–88.

    CAS  PubMed  Google Scholar 

  47. Lun X, Chan J, Zhou H, Sun B, Kelly JJ, Stechishin OO, Bell JC, Parato K, Hu K, Vaillant D, et al. Efficacy and safety/toxicity study of recombinant vaccinia virus JX-594 in two immunocompetent animal models of glioma. Mol Ther. 2010;18(11):1927–36.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Kim M, Nitschke M, Sennino B, Murer P, Schriver BJ, Bell A, Subramanian A, McDonald CE, Wang J, Cha H, et al. Amplification of Oncolytic Vaccinia virus widespread tumor cell killing by Sunitinib through multiple mechanisms. Cancer Res. 2018;78(4):922–37.

    CAS  PubMed  Google Scholar 

  49. Yu YA, Galanis C, Woo Y, Chen N, Zhang Q, Fong Y, Szalay AA. Regression of human pancreatic tumor xenografts in mice after a single systemic injection of recombinant vaccinia virus GLV-1h68. Mol Cancer Ther. 2009;8(1):141–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Malfitano AM, Di Somma S, Iannuzzi CA, Pentimalli F, Portella G. Virotherapy: from single agents to combinatorial treatments. Biochem Pharmacol. 2020;177:113986.

    CAS  PubMed  Google Scholar 

  51. Heise C, Lemmon M, Kirn D. Efficacy with a replication-selective adenovirus plus cisplatin-based chemotherapy: dependence on sequencing but not p53 functional status or route of administration. Clin Cancer Res. 2000;6(12):4908–14.

    CAS  PubMed  Google Scholar 

  52. Binz E, Lauer UM. Chemovirotherapy: combining chemotherapeutic treatment with oncolytic virotherapy. Oncolytic Virother. 2015;4:39–48.

    CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We are grateful to Genelux Corporation (San Diego, CA, USA) for providing GLV-1 h68 for our study. Furthermore, we acknowledge support by Deutsche Forschungsgemeinschaft [German Research Foundation] and Open Access Publishing Fund of the University of Tuebingen.

Funding

LDK is funded by the intramural Interdisziplinäres Zentrum für Klinische Forschung [Interdisciplinary Center for Clinical Research IZKF] scholarship of the Faculty of Medicine, University of Tuebingen; the role of the IZKF is to fund highly qualified MD students who are undertaking their MD thesis work in highly renowned laboratories.

Author information

Authors and Affiliations

  1. Department of Internal Medicine VIII, Department of Medical Oncology and Pneumology, University Hospital Tuebingen, University of Tuebingen, Otfried-Mueller-Strasse 10, 72076, Tuebingen, Baden-Wuerttemberg, Germany

    Linus D. Kloker, Susanne Berchtold, Irina Smirnow, Julia Beil, Bence Sipos & Ulrich M. Lauer

  2. German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 72076, Tuebingen, Germany

    Susanne Berchtold, Julia Beil & Ulrich M. Lauer

  3. Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, 40225, Duesseldorf, Germany

    Andreas Krieg

Authors
  1. Linus D. Kloker
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Susanne Berchtold
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Irina Smirnow
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Julia Beil
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Andreas Krieg
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bence Sipos
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ulrich M. Lauer
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

LDK.: planned and performed the majority of the experiments and wrote the major part of the manuscript. SB: Planned and conducted experiments, contributed to the interpretation of the data. IS: performed experiments. JB: Interpretation of the data as well as writing and reviewing the manuscript. AK: established and provided NEC-DUE1 cells. BS: characterized the employed cell lines. UML.: designed and supervised the study. All authors contributed to writing of the paper and read and approved the final manuscript.

Corresponding author

Correspondence to Ulrich M. Lauer.

Ethics declarations

Ethics approval and consent to participate

None of the human cell lines used in this study required ethical approval.

Consent for publication

Not applicable.

Competing interests

The authors report no conflicts of interest.

Additional information

Publisher’s Note

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

Supplementary information

Additional file 1

: Supplementary Figure S1: Microscopy of viral transgene expression at 72 hpi. Representative phase contrast, fluorescence and overlay pictures of the NET/NEC panel infected with GLV-1 h68 taken at 72 hpi. When comparing with the pictures taken at 96 hpi (Fig. 2), GFP expression was found to be lower in all tumor cell lines at this earlier time point.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kloker, L.D., Berchtold, S., Smirnow, I. et al. Oncolytic vaccinia virus GLV-1h68 exhibits profound antitumoral activities in cell lines originating from neuroendocrine neoplasms. BMC Cancer 20, 628 (2020). https://doi.org/10.1186/s12885-020-07121-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-020-07121-8

Keywords

  • Endocrine cancers
  • Virotherapy
  • Immunotherapy
  • Vaccinia virus
  • Neuroendocrine tumors

BMC Cancer

ISSN: 1471-2407

Contact us