Abstract
Purpose:
Malignant gliomas have a highly immune suppressive tumor microenvironment (TME) which renders them largely unresponsive to conventional therapeutics. Therefore, the present study evaluated a therapeutic protocol designed overcome the immune barrier by combining myeloid cell targeted immunotherapy with tumor vaccination.
Experimental Design:
We utilized a spontaneously occurring canine glioma model to investigate an oral TME modifying immunotherapy in conjunction with cancer stem cell (CSC) vaccination. Dogs were treated daily with losartan (monocyte migration inhibitor) and propranolol (myeloid-derived suppressor cell depleting agent) plus anti-CSC vaccination on a bi-weekly then monthly schedule. Tumor volume was monitored by MRI and correlated with patient immune responses.
Results:
Ten dogs with histologically confirmed gliomas were enrolled into a prospective, open-label clinical trial to evaluate the immunotherapy protocol. Partial tumor regression was observed in 2 dogs, while 6 dogs experienced stable disease, for an overall clinical benefit rate of 80%. Overall survival times (median = 351 days) and progression-free intervals (median = 163 days) were comparable to prior studies evaluating surgical debulking followed by immunotherapy. Dogs with detectable anti-CSC antibody responses had an increased overall survival time relative to dogs that did not generate antibody responses (vaccine responder MST = 500 days; vaccine non-responder MST = 218 days; p = 0.02).
Conclusions:
These findings suggest that combining myeloid cell targeted oral immunotherapy with tumor vaccination can generate objective tumor responses, even in the absence of conventional therapy. Overall, this approach has promise as a readily implemented therapeutic strategy for use in brain cancer patients.
Introduction
Malignant gliomas are an aggressive tumor of the brain that carry a dismal prognosis for long-term survival. For instance, humans diagnosed with a grade III glioma exhibit a median progression-free interval of 11 weeks and a median overall survival time of 39 weeks1. Of note, there are remarkable similarities in survival time, clinical symptoms, and histological properties between human and canine malignant gliomas2,3. The similarities in disease progression and the accessibility of canine patients makes the dog spontaneous glioma model valuable for investigation of novel therapeutics, with the potential for accelerated translation to human medicine4,5.
In recent years immunotherapy has come to the forefront of anti-cancer therapeutics, with the blockade of immune suppressive checkpoint pathways being adopted as a leading treatment for a variety of cancers. Such checkpoint blocking immunotherapies are highly effective in a subset of cancers but have proven to be largely ineffective for treatment of adult and pediatric gliomas6. The lackluster responses in brain tumors are partly due to the immunologically cold nature of the malignancy, which is a result of a highly immune suppressive tumor microenvironment (TME) that inhibits anti-tumor responses7. Therefore, recent efforts for brain cancer treatment have focused on strategies to modify the TME, with the goal of enhancing the efficacy of existing immunotherapies.
In the present study, we targeted myeloid cells for depletion from the TME using two repurposed drugs: losartan and propranolol. The choice of these two drugs was based on our previous demonstration that losartan can block inflammatory monocyte migration and the findings of other groups which indicate that propranolol can inhibit myeloid-derived suppressor cell (MDSC) mobilization and immune suppression8–10. When losartan is administered in a continuous manner, its off-target activity as a C-C chemokine receptor type 2 (CCR2) antagonist blocks inflammatory monocyte migration and can eventually lead to depletion of tumor associated macrophages8. The continuous administration of propranolol has been demonstrated to interact with the β−2 adrenergic receptor on myeloid cells to inhibit STAT3 signaling and suppress the mobilization and activation of MDSCs9,10. Importantly, it has been reported that both drugs reach effective concentrations in cerebrospinal fluid and brain tissues11,12. Therefore, to disrupt the immune suppressive TME, we used daily losartan and propranolol to deplete tumor resident myeloid cell populations in dogs with glioma.
In addition to TME modification, we used an allogeneic vaccination strategy to generate tumor specific immune responses. The allogeneic vaccine consisted of pooled lysates derived from three non-glioma canine cancer cell lines. The cell lines were screened for cancer stem cell (CSC) antigen expression and selected based on their enriched CSC antigen levels. This vaccine strategy was selected because gliomas are reported to have a high abundance of CSCs and to be dependent on this population for growth and spread13,14. To upregulate CSC antigen expression, the cell lines used in this study were cultured in nonadherent conditions with cytokine supplementation and serum free growth medium15. Finally, to maximize vaccine immunogenicity, we delivered the lysate using cationic liposomes complexed with TLR-3/9 agonists (polyinosinic-polycytidylic acid and CpG oligonucleotides), which we have previously shown effectively cross-primes CD8 T cell responses to protein antigens16,17.
In the present study, 10 dogs with histologically confirmed gliomas were enrolled into a trial evaluating the impact of combined TME disruption and therapeutic cancer vaccination. All animals in the study were continuously treated with losartan and propranolol, while also receiving bi-weekly and then monthly immunizations with a canine CSC vaccine. Throughout the study, serial magnetic resonance imaging (MRI) and clinical assessments were completed to monitor the impact of combined immunotherapy on tumor growth and animal survival. Key study findings were that the immunotherapy protocol led to an 80% clinical benefit rate, with 2 animals achieving partial tumor regression and 6 dogs experiencing stable disease. Importantly, overall survival times of study dogs were comparable to those reported in canine glioma patients that underwent surgical tumor debulking prior to vaccination18. Thus, our findings provide guidance for the use of repurposed TME modifying drugs combined with other immunotherapies for the treatment of gliomas.
Methods
Study design and enrollment criteria
This study was designed as a prospective, open-label clinical trial to enroll dogs with newly diagnosed gliomas. All studies were approved by the Colorado State University (CSU) Institutional Animal Care and Use Committee and the CSU Clinical Review Board. All dog owners provided informed consent prior to enrollment into the trial.
Inclusion criteria included a diagnostic MRI indicating the presence of a supra-tentorial lesion consistent with a glioma. For inclusion in this report, histologic confirmation of glioma was required with 4 study dogs being histologically diagnosed post-mortem (trial 1A, dogs 1–4), and 6 study dogs being histologically diagnosed before treatment using biopsy tissues (trial 1B, dogs 5–10) acquired with a neuronavigation system (Brainsight; Rogue Research; Montreal, Canada; NICO Myriad, NICO Corporation, Indianapolis, IN). Study dogs were screened and confirmed to be free of concurrent medical conditions, including hypertension and renal dysfunction.
Exclusion criteria included the presence of other cancers or prior treatment of the glioma. To avoid immunosuppressive effects, any dog that was actively receiving corticosteroids was not enrolled until their corticosteroid dosage was reduced to less than 0.5 mg/kg/day for at least 72 hours prior to vaccination.
Losartan and propranolol dosing schedule
All study dogs were treated with orally administered high-dose losartan (10 mg/kg) and propranolol (1 mg/kg); both administered every 12 hours (Figure 1). Blood pressure was monitored throughout the study to ensure that hypotension did not develop. Complete blood count and serum biochemical panels were performed at study initiation, 1 month, and 3 months to assess renal and hepatic function.
Tumor cell lines and screening for high CSC marker expression
A series of 13 canine tumor cell lines were screened for upregulation of CSC markers following culture in tumor spheroid medium. The cell lines were obtained from the Flint Animal Cancer Center tumor cell line bank or were established in our laboratory15. All tumor cell lines were confirmed to be of canine origin and mycoplasma free. Tumor cell lines were initially maintained in Gibco Minimum Essential Medium (MEM) containing 10% fetal bovine serum (FBS), 1% L-glutamine, and 1% penicillin/streptomycin (Thermo Fisher, Waltham, MA; Peak Serum Inc., Wellington, CO). After 7 days of expansion, cells were transferred to ultra-low attachment plates (Corning, Kennebunk, ME) and cultured in spheroid medium. Spheroid generating medium consisted of Dulbecco’s Modified Eagle Medium/Ham’s F-12 Nutrient Mixture (Thermo Fisher), B-27™ Supplement (Thermo Fisher), 20 ng/ml basic fibroblast growth factor (Peprotech, Rocky Hill, NJ), 20 ng/ml epidermal growth factor (Peprotech), 2 μg/ml heparin (Sigma-Aldrich, St. Louis, MO) and penicillin/streptomycin (Thermo Fisher). Medium changes were completed every other day for a total of 7 days in spheroid medium.
To quantify CSC antigen expression, each cell line was screened by flow cytometry for expression of 8 CSC markers (CD90, CD44, CD133, CD34, CD24, Sca1, CD117, and Oct3/4), as described previously19. From this screen, 3 cell lines (Jenny {melanoma}, Gracie {osteosarcoma}, and Bliley {transitional cell carcinoma}) with highest CSC marker expression were selected for use in the allogeneic CSC vaccine (Supplemental Figure 1).
Preparation of CSC cell lysate vaccines
Following a 7-day period of growth in spheroid medium, the spheroids were collected by gravity settling, washed with PBS, then lysed using distilled water. Tumor cell lysates were generated through 5 freeze/thaw cycles in liquid nitrogen, and then 3 sonication cycles on ice. Lysates were passed through 0.2 μm sterile filters (Pall, Port Washington, NY) and resuspended in distilled water. The protein concentration was quantified using a bicinchoninic acid kit (Thermo Fisher) and the vaccine was prepared by pooling equivalent amounts of spheroid lysate (166.6 μg) generated from each of the three cell lines. The pooled tumor lysate was combined with a cationic liposomal-TLR3/9 vaccine adjuvant, as described previously, to generate the vaccine17,20. Briefly, each vaccine consisted of 500 μg pooled tumor lysate complexed to 500 μl liposome-TLR3/9 adjuvant, in a total volume of 2 ml diluent. Vaccines were then lyophilized and stored at −80°C until administered.
Immunization schedule
Vaccines were reconstituted with 2 ml of sterile water then delivered via two 1 ml sub-cutaneous injections split between each flank. After the initial immunization, vaccines were administered on weeks 2, 4, 6, 8, and 10 then once monthly until death or withdrawal from study (Figure 1). Vaccine reactions were monitored by evaluation of the injection site and an owner questionnaire.
Tumor monitoring by MRI and clinical evaluation
Serial MRI evaluations were conducted prior to treatment (trial 1A) or after tumor biopsy (trial 1B) to obtain baseline tumor volume measurements and subsequently at 3-month intervals throughout the duration of the study period. MRI data were acquired on a 1.5 T GE Scanner (Signa HDxt) running 24.x software, using a standard human knee coil. Acquisition protocols followed the consensus recommendations on standardized magnetic resonance imaging protocols for multicenter canine brain tumor clinical trials4. This included transverse, sagittal, and dorsal plane T1-weighted pre- and post-contrast sequences; transverse and sagittal T2-weighted sequences; transverse GRE, FLAIR, and DTI sequences; and 3D isotropic T1-weighted images. All T1-weighted sequences were evaluated pre- and post-contrast administration. Three-dimensional T1 anatomical images were performed using the FSPGR BRAVO sequence (FOV = 25.6 cm, matrix = 256×256, flip angle = 12°, TR = 8.19 ms, TE = 3.39 ms, TI = 450 ms, slice thickness = 1.0 mm, NEX = 1).
Image measurements were made by veterinary radiologists, using either Philips IntelliSpace (v.4.4.551, Philips Medical, Cleveland, OH) or Osirix MD (v.10.0.4, Pixmeo SARL, Bernex, Switzerland). The evaluating radiologists were blinded to study date and dog identity when analyzing the imaging data and the software platform used for analysis was consistent over time for an individual dog. Linear measurements were made in all three dimensions on the post contrast T1-weighted images with width measured on the transverse plane, height measured on the sagittal plane, and length measured on the dorsal plane including both contrast enhancing and non-contrast enhancing lesion components. The largest diameter and its orthogonal dimension were recorded. Volumetric measurements were made in transverse plane post-contrast T1-weighted images. When applicable, the volume calculation was corrected for inter-slice gap. Progression of disease was determined based on tumor volume calculations according to the RANO/iRANO criteria, using a 40% volume increase as disease progression, a 65% reduction of tumor volume as a partial response, and all responses in between were classified as stable disease21,22. Progression-free interval was calculated based on the date in which the MRI measured tumor volume was greater than 40% larger than baseline tumor volume. Dogs that achieved stable disease for 3 months on protocol were counted toward the clinical benefit rate. For cases in which the dog did not survive to the first follow-up MRI (n = 1) the progression-free interval was recorded as the date of death.
Measurement of vaccine-induced antibody responses to canine glioma cells
A canine glioma cell line (J3T, a generous gift of Dr. Peter Dickinson, University of California Davis College of Veterinary Medicine) was propagated under standard plastic adherence conditions (parental) using complete MEM (10% FBS, 1% L-glutamine, and 1% penicillin/streptomycin) or under spheroid forming conditions, as described above. Parental cells were detached by trypsinization, while spheroids were disaggregated using Accumax (Innovative Cell Technologies, Inc., San Diego, CA) to generate single cell suspensions.
For quantification of anti-glioma antibody titers, serum from study dogs obtained prior to vaccination and 4-weeks after the first vaccination was evaluated using a flow cytometric assay. Serial dilutions were made at 4-fold steps then serum solutions were incubated for 60 minutes at room temperature in FACS buffer (5% FBS plus 0.1% sodium azide in PBS). A rabbit anti-dog IgG H&L-FITC antibody (Jackson Laboratories, Bar Harbor, ME, Cat# 304-095-003, RRID:AB_2339350) was added at a dilution of 1:200 and incubated for 30 minutes at room temperature. Finally, 5 μl of 7-aad viability dye (Thermo Fisher) was added, then cells were run on a Beckman Coulter Gallios Flow Cytometer (Indianapolis, Indiana). All serum samples were analyzed by two independent endpoint titers. Endpoint cut off was determined to be a value less than the average plus 3.5 times the standard deviation of at least 6 blanks.
Western blotting to assess antigen recognition by serum from vaccinated dogs
Protein lysate used in the CSC vaccine (15 μg per lane) was electrophoresed under reducing conditions into a 4–15% Mini-PROTEAN® TGX™ gel (BioRad, Hercules, California) then transferred to a polyvinylidene difluoride (PVDF) membrane and blocked with 5% bovine serum albumin (BSA) in TBST (BioRad). Serum obtained prior to and 1-month after the first immunization was used at a dilution of 1:100,000 in 5% BSA to probe the membrane. An HRP conjugated rabbit anti-dog IgG H&L (Jackson Laboratories, Cat# 304-035-003, RRID: AB_2339344) antibody at 1:100,000 was used to detect bound canine antibodies. Finally, the membrane was imaged using Clarity™ ECL substrate on a ChemiDoc gel imaging system (BioRad). All paired samples were analyzed under the same exposure conditions.
Assessment of antibody recognition of canine glioma cells by confocal microscopy
J3T spheroid cells were fixed for 30 minutes with 4% paraformaldehyde (Thermo Fisher) then embedded in OCT embedding medium as previously described23. Sectioned spheroids were blocked with 5% normal rabbit serum (Jackson Laboratories) in immunofluorescence buffer (0.2% Triton X-100, 0.1% BSA, 0.05% Tween 20 in PBS). Trial dog serum obtained 4 weeks after enrollment was then diluted 1:500 in immunofluorescence buffer and incubated overnight at 4°C. The following day, a rabbit anti-dog IgG H&L-FITC antibody (Jackson Laboratories) was diluted 1:200 and added for 1 hour at room temperature. Background fluorescence was quenched with a 30-minute incubation in 10 mM copper sulfate + 50 mM ammonium acetate solution then counter stained with DAPI (1 μg/ml) (Sigma-Aldrich). After immunolabeling, slides were visualized using an Olympus IX3 confocal microscope and processed using Olympus cellSens software (Waltham, Massachusetts).
Evaluation of immune infiltrates in tumor biopsies from study dogs and untreated dogs with glioma
Formalin-fixed, paraffin embedded (FFPE) tumor tissues were obtained from 4 study dogs (all study dogs that had tissue samples available) and from a reference group of 14 dogs with untreated gliomas. Immunohistochemistry was performed on FFPE tissues using a Leica BOND-MAX Fully Automated IHC Staining System, with canine cross-reactive antibodies: mouse monoclonal anti-human CD3 (Leica Biosystems, Lincolnshire, IL, Cat# PA0554, RRID:AB_10554454, clone LN10) and mouse monoclonal anti-human Myeloid/Histiocyte antigen (Bio-Rad Cat# MCA874GA, RRID:AB_324314, clone MAC387). Antigen retrieval was performed using Leica Epitope Retrieval Solution 2 (Tris-EDTA buffer, pH 9) for 20 minutes at 95°C. Detection was performed with PowerVision IHC Detection Systems (Leica Biosystems, Inc.), using a polymeric horseradish peroxidase anti-mouse IgG and DAB chromogen (CD3) or a polymeric alkaline phosphatase anti-mouse IgG and Fast Red chromogen (MAC387).
Whole slide brightfield images of IHC stained slides were digitally captured using an Olympus VS120 slide scanner at 20x magnification and fixed exposure times for all samples. Quantitative image analysis was performed using Visiopharm software (Hesholm, Denmark) and visually confirmed by a veterinary pathologist (DPR). The density of tumor infiltrating immune cells was calculated as number of immune cells per mm2 of viable tumor tissue.
Gene expression analysis by NanoString
Tumor biopsies were evaluated histologically to confirm that at least 50% of the sample contained tumor cells. Four 10-μm sections from each sample were used for RNA extraction with an RNeasy FFPE Mini kit (QIAGEN, Hilden, Germany) then evaluated with RNA High Sensitivity assays on the Qubit 2.0 Fluorometer (Invitrogen/LifeTechnologies, Carlsbad, CA, USA) and 5200 Fragment Analyzer Automated CE System (Agilent, Santa Clara, CA, USA). NanoString (NanoString Technologies, Seattle, WA, USA) gene expression analysis was performed using the NanoString Canine IO panel24. NanoString data was collected using the nCounter Analysis System at the University of Arizona Genetics Core, software 4.0.1.8. Gene expression count data were pre-processed using nSolver software (NanoString) then normalized to housekeeping genes and batch effect regressed using panel standards. Differential gene expression analysis was completed using DESeq2 with corrections for multiple comparisons25. For corrected p-values, a threshold of 0.1 was used to determine statistical significance.
Statistical analysis
Comparisons of overall survival times and progression-free intervals between dog signalment and tumor parameters were completed using multiple univariate tests, with statistical significance determined using a likelihood-ratio test. For comparisons between two groups, Wilcoxon two sample t-tests were utilized. When making comparisons between pre- and post-vaccine clinical samples we used paired analysis, while all other comparisons used non-paired tests. Unless specified otherwise, statistical testing that resulted in a p-value of 0.05 or lower was considered statistically significant. All analysis was completed using R software and data were visualized using the R packages ggplot2 and survminer26–28.
Data availability
The data presented in this study are available from the corresponding author, S.D., upon reasonable request. The R code used to analyze data in the current study is available on GitHub https://github.com/dyammons/CanineGliomaManuscript (DOI: 10.5281/zenodo.7309262).
Results
Study dog demographics
Ten dogs, consisting of 8 oligodendrogliomas and 2 astrocytomas, were enrolled into the clinical trial. Tumors were present in various brain regions with both high (n = 6) and low (n = 4) grade gliomas represented (Table 1, Supplemental Table 1). The average age at enrollment was 7.5 years old, and there were 6 male and 4 female dogs. The breed distribution of the study dogs was skewed towards brachycephalic breeds, which is consistent with the literature, as this population is known to have a predilection to develop gliomas29,30.
Table 1. Study demographics and objective response to therapeutic intervention.
Dog ID | Age (years) | Sex | Breed | Tumor Location | Glioma subclassification | Grade | Trial | Time to maximal response (months) | Maximal response (%) | Objective response |
---|---|---|---|---|---|---|---|---|---|---|
1 | 7 | FS | Boxer | Parietal | Oligodendroglioma | High | 1A | 3 | −58 | Stable |
2 | 8 | MI | Boxer | Temporal | Astrocytoma | Low | 1A | 3 | −18 | Stable |
3 | 8 | FS | Boxer | Temporal | Oligodendroglioma | Low | 1A | 3 | −44 | Stable |
4* | 8 | MC | English Bulldog | Parietal | Oligodendroglioma | High | 1A | 0 | Progression | Progression |
5 | 5 | MC | French bulldog | Frontal, Parietal | Oligodendroglioma | High | 1B | 3 | −28 | Stable |
6 | 6 | FS | Mixed | Parietal, Occipital | Oligodendroglioma | High | 1B | 3 | +43 | Progression |
7 | 9 | MC | Boston Terrier | Temporal | Oligodendroglioma | High | 1B | 6 | −92 | Partial |
8 | 8 | MI | Swiss Mountain | Parietal | Astrocytoma | Low | 1B | 3 | −60 | Stable |
9 | 8 | FS | Boxer | Right Pyriform | Oligodendroglioma | High | 1B | 6 | −88 | Partial |
10 | 8 | MC | Boxer | Right Pyriform | Oligodendroglioma | Low | 1B | 3 | −9 | Stable |
denotes the dog succumbed to disease before follow-up MRI.
Two study dogs were withdrawn due to progressive clinical signs but were followed to determine date of death (dog 7 withdrawn on day 272; dog 8 withdrawn on day 264). Both of the dogs that were withdrawn early, transitioned to a therapeutic protocol which included radiation therapy with continued daily losartan and propranolol plus monthly vaccination. Survival data from these two dogs was censored at the date of first radiation therapy. On follow-up, dog 8 survived for 13 months and dog 7 survived for 15 months. All other dogs remained on protocol until succumbing to disease.
Clinical responses to treatment
Using the MRI based RANO/iRANO classification scheme of objective tumor responses, we determined that 2 dogs exhibited rapid disease progression, 6 had stable disease, and 2 demonstrated a partial tumor response (Table 1). All dogs reached their maximal response within 6 months of starting the therapeutic intervention. Overall survival time was calculated based on the time that the dogs survived following administration of the first vaccine. The median survival time for study dogs was 351 days, with a 1-year survival rate of 42% (Figure 2A). In addition to overall survival, the progression-free interval was determined to be 163 days from time of initial vaccination to MRI tumor volume progression or death (Figure 2B). Tumor growth curves revealed that four dogs (dogs 3, 7, 8, and 9) exhibited a tumor volume reduction (44%, 92%, 60%, and 88%; respectively) following the first immunization and maintained their positive response. Although dogs 7 and 8 had a sustained tumor volume reduction, they showed signs of neurological progression and were withdrawn to receive supplemental radiation therapy. Three other dogs (dogs 1, 2, and 10) exhibited a rapid relapse after an initial tumor volume reduction (Figure 2C/D). Additionally, one dog (dog 4) rapidly succumbed to progressive disease. Lastly, we observed that dogs with an initial tumor volume of less than 5 cm3 had a tendency to exhibit sustained tumor regression following immunotherapy. This observation suggests that dogs with smaller tumor burdens may be better candidates for the immunotherapy only protocol. Overall, these data indicate that combination immunotherapy led to stabilization of tumor growth in a majority of dogs, while a smaller subset achieved partial tumor regression.
A secondary objective of this study was to evaluate the safety of the immunotherapy protocol. Notably, there were no detectable adverse events associated with daily oral administration of losartan or propranolol throughout the duration of the study, and we did not observe hypotension in any of the study dogs. We observed grade 1 adverse events in 5 dogs following at least one immunization which were limited to minor skin irritation at the injection site that resolved without treatment. All other dogs exhibited no detectable adverse reactions to vaccination.
Evaluation of CSC tumor vaccine immunogenicity
We next evaluated antibody titers following CSC vaccination, as a means of assessing overall immunotherapy responses. The primary evaluation of vaccine response was completed using flow cytometry-based quantitative endpoint titers to detect the binding of circulating immunoglobulins to J3T (a canine glioma cell line) spheroids31. Evaluation of J3T spheroid endpoint titers revealed that 4 dogs were non-responders (undetectable anti-J3T antibodies) and that 6 dogs exhibited detectable increases in anti-J3T antibodies post-vaccination (Figure 3A). We also determined that J3T cells cultured under spheroid conditions were more immunogenic than the same cells cultured as plastic adherent cells, which indicates specificity to antigens only present on spheroid cells (Supplemental Figure 2).
Pre- and post-immunization serum samples were also screened by western blotting to evaluate reactivity to proteins in the vaccine. The banding patterns from 5 humoral responders revealed consistent protein recognition patterns between dogs (Figure 3B/C, Supplemental Figure 3). The most highly conserved protein bands appeared at molecular weights of 50 and 37 kDa. To further investigate antibody responses, we complete immunocytochemistry of J3T spheroids which revealed recognition of both intracellular and surface proteins (Figure 3D, Supplemental Figure 4). These findings indicate that the tumor lysate vaccine induced broad recognition of multiple glioma antigens.
Finally, the duration of antibody responses was evaluated in a subset of 5 study dogs using serum samples obtained throughout the study. Notably, the antibody titers remained consistent with minimal fluctuation in antibody binding over the months evaluated (Supplemental Figure 5). Together these data indicate that vaccination produced durable anti-glioma humoral immune responses, and that evaluation of antibody titers could be used to predict clinical responses to the combined immunotherapy protocol.
Correlation of immune response to immunotherapy with clinical outcomes
To determine if antibody titers correlated with tumor responses, we stratified overall survival and progression-free interval data by vaccine antibody status (i.e., vaccine responder vs non-responder) then completed univariate analysis. The analysis revealed that dogs with a detectable anti-glioma antibody response had enhanced overall survival times relative to non-responders (p = 0.02; responder MST = 500 days; non-responder MST = 218 days; Figure 4A). When progression-free interval was subjected to the same analysis, we found that the correlation with vaccine status did not reach a level of statistical significance, though numerically the median progression-free interval (mPFI) was longer in the responder cohort (p = 0.15; responder mPFI = 212 days; non-responder mPFI = 118 days; Figure 4B).
To further evaluate clinical correlates with humoral responses, we compared the maximal tumor response (% change in tumor volume) between dogs classified as vaccine responders and non-responders (Supplemental Figure 6). This analysis failed to reach statistical significance (p = 0.11) but provided further data to correlate clinical outcomes with humoral status. Lastly, we evaluated other factors that could have influenced study dog outcomes. This analysis was completed using multiple univariate analysis on key strata (breed, sex, tumor grade, and trial) and none of the tests revealed evidence of statistically significant correlations with clinical outcome measures (Supplemental Table 2). Therefore, vaccine antibody response was the only factor identified in this study that correlated significantly with clinical outcomes. Overall, these findings suggest that vaccine response was the key variable associated with increased survival in dogs treated with this novel immunotherapy combination.
Assessment of tumor immune infiltrates in study dogs compared to untreated canine gliomas
Finally, we used post-mortem tumor biopsy tissues to compare the densities of immune infiltrates and the transcriptomes of trial dogs relative to an untreated cohort of dogs with gliomas. In total, we evaluated 4 dogs from the trial (dogs 1, 2, 3, and 6) and 14 dogs from an untreated reference group. The reference group consisted of 10 oligodendrogliomas, 2 astrocytomas, and 2 undefined glioma tumor types. Seven of the tumors were classified as high-grade and 7 were classified as low-grade. The 4 study dogs used for analysis consisted of one dog who exhibited a vaccine response and had partial tumor regression while the other three dogs did not appear to respond to intervention. Therefore, the tissues collected from the treated dogs are likely not fully representative of the immunological changes observed in dogs who responded to intervention.
Immunohistochemical analysis revealed that the mean density of tumor infiltrating CD3+ T cells was 19.0±12.6 cells/mm2 in study dogs compared to 79.9±195 cells/mm2 in reference dogs (Figure 5A/B; ±SD). The average density of macrophage tumor infiltrates (MAC387+) was 6.4±8.2 cells/mm2 in study dogs compared to 39.9±114 cells/mm2 in the reference dogs (Figure 5C/D; ±SD). Statistically, the mean tumor infiltrating T cell and macrophage densities were not significantly different between study dogs and control dogs. Notably, the sparse densities of immune infiltrates are consistent with the densities typical of human glioma32,33. Overall, these findings support the classification of canine gliomas as immunologically “cold” tumors.
We next completed immune transcriptome analysis to investigate whether there were changes in immune gene expression profiles between treated and untreated gliomas. These studies employed the canine immune-oncology (IO) NanoString panel and used DESeq2 to complete differential gene expression analysis24. Analysis indicated there were no statistically significant differences in the transcriptome between treated and untreated tumors. To further analyze the dataset, we completed co-variate analysis to investigate how sex, tumor type, and tumor grade impacted gene expression. This analysis revealed statistically significant changes in gene expression between dogs with high-grade and low-grade tumors (28 genes upregulated, 3 genes downregulated; Supplemental Figure 7). Of note, gene set enrichment analysis revealed that genes associated with PD-1 and CD28 signaling were increased in high-grade tumors relative to low-grade gliomas. The enrichment of these pathways provides evidence that there may be more exhausted T cells present in high-grade gliomas compared to low-grade tumors. To investigate further, we compared the abundances of T cell and macrophage tumor infiltrates and found no detectable differences between high- and low-grade gliomas (Supplemental Figure 8). These findings indicate that the transcriptomic changes are likely due to functional differences in T cells rather than changes in T cell abundance. Overall, these data provide a better understanding of the immune landscape of canine gliomas and suggest that canine gliomas recapitulate human gliomas in terms of their overall immune responses.
Discussion
In the present study, we assessed a novel combination immunotherapy for generation of anti-tumor activity in dogs with spontaneously arising gliomas. Importantly, the canine glioma model is considered to be an excellent large animal model for human glioma and is valuable in the investigation of translational therapeutics34,35. Key study findings include generation of partial tumor regression in 20% of dogs, along with durable tumor responses (median progression-free interval 163 days) in most animals. The median overall survival time (351 days) reported in this study is comparable to survival times previously reported in dogs treated with debulking surgery plus vaccination (MST = 212 days), or with debulking surgery plus chemotherapy (MST = 240 days)18,36. In the present study, tumor responses correlated with vaccine antibody responses, as dogs that mounted detectable vaccine responses experienced significantly longer overall survival times than dogs with undetectable antibody responses (responder MST = 500 days; non-responder MST = 218 days). Taken together, these results indicate that the combination of TME disruption using losartan and propranolol with an allogeneic tumor vaccination, can elicit substantial anti-tumor activity in dogs with gliomas.
The prognosis for patients diagnosed with glioma is dismal and there is a need for effective therapeutic interventions in both human and canine patients. In dogs, definitive treatment for glioma consists of surgical debulking, radiation therapy, and/or chemotherapy37,38. Dogs that receive some form of definitive treatment have been reported to have a median survival time of 84 days, while dogs that only receive palliative treatment have a 26-day MST39. Recently, novel immunotherapy interventions have been explored in the canine glioma model. One such immunotherapy for canine glioma used a CD200 agonist, autologous vaccination, and conjunctive surgical debulking to achieve a median survival time of 12.7 months (approximately 387 days)40. The CD200 trial only evaluated high-grade glioma cases, which limits direct comparison with the present trial results. Nonetheless, the median survival time observed in the present study (351 days) obtained with immunotherapy alone compares favorably with the results of combination immunotherapy plus surgery.
Limitations of the current study include a small sample size, a mix of low- and high-grade tumors, and a lack of a control arm consisting of dogs with untreated gliomas. However, prior literature indicates that the survival times for untreated dogs with glioma are short, thus all animals were treated in the present study40,41. Furthermore, due to the limited availability of frozen blood leukocyte samples, our study did not evaluate T cell responses to vaccination. Nonetheless, prior studies have found that anti-tumor antibody responses following tumor vaccination typically correlate with T cell responses, and therefore antibody titers can be used as a proxy for overall T cell immune responses42,43. Lastly, the immune density and transcriptome studies only included tumor samples from 4 study dogs, and only one was obtained from a vaccine responder, thereby skewing the analysis toward non-responders (n = 3) versus untreated dogs (n = 14).
Analysis of tumor infiltrating immune cell densities and transcriptomes failed to detect any statistically significant differences between glioma samples from treated (n = 4) and naïve (n = 14) dogs. As noted above, the lack of vaccine responding animals is a major limitation to this analysis. However, the failure to observe significant T cell infiltrates in tumor samples from study dogs could also reflect the possibility that humoral immune responses may have been more important than cellular responses in this study. For example, in the 6 vaccine responding dogs tumor control may have been primarily mediated through antibody-dependent cellular cytotoxicity, which might not be reflected in T cell and macrophage infiltrates44. Alternatively, it is possible that the 6 dogs who generated antibody responses were more immune competent than the non-responders and may have exhibited enhanced clinical outcomes regardless of intervention. Nonetheless, further investigation of the mechanism(s) of action associated with combined TME modification plus vaccination is warranted.
Further analysis of immune transcriptome responses in tumor tissues revealed important grade-related changes in gene expression. We identified upregulation of key immune regulatory pathways in high-grade tumors compared to low-grade tumors, including lymphoid cell interactions, integrin interactions, and cell surface interactions at endothelial surface. Furthermore, we also found that the densities of tumor immune cell infiltrates were not significantly different between high- and low-grade tumors. Together, these findings suggest that tumor infiltrating immune cells in high-grade tumors are likely more activated and potentially exhausted relative to low-grade tumors.
We have previously demonstrated the anti-tumor activity of losartan as a TME modifying drug in dogs, and other groups have noted the efficacy of propranolol as an MDSC modifying agent in rodent studies and as an anti-angiogenic agent in dogs9,45,46. In addition, prior studies have found that losartan and propranolol can enhance anti-tumor immunity and contribute to increased survival times47,48. Therefore, the current pilot study was not designed to investigate the anti-tumor activity of each component in combined protocol. Lastly, a valuable aspect of using repurposed drugs (i.e., losartan and propranolol) as cancer immunotherapy agents is that the drugs are FDA approved, have strong safety records, and can be readily obtained for use in clinical trials49.
Our study employed a whole cell lysate vaccine derived from non-glioma canine cancer cell lines enriched for CSC antigens. We have previously reported the efficacy of similar allogeneic cell line lysate cancer vaccines in dogs with hemangiosarcoma50. At the time of study initiation, we did not have access to canine glioma cell lines for inclusion in the vaccine. Since then, several canine glioma cell lines, including the J3T cell line used for immune assays in the current study, have been made available31,51. Thus, the use of canine glioma cell lines in the preparation of future allogeneic vaccines would be predicted to generate greater anti-tumor activity.
In summary, a novel immunotherapy protocol consisting of daily treatment with losartan and propranolol combined with tumor vaccination was well-tolerated, induced partial tumor regression in 2 of 10 dogs, led to stable disease in 6 of 10 dogs, and resulted in a median overall survival time of 351 days in dogs with glioma. The overall positive results of this pilot study, obtained in a spontaneous canine glioma model, indicate the potential for such an approach to be incorporated into the design of future glioma immunotherapy trials in human patients.
Supplementary Material
Significance.
In a pilot study of 10 dogs with glioma, we found that orally administered losartan and propranolol plus vaccination induced durable tumor responses in 8 of 10 treated dogs. The immunotherapy protocol was well-tolerated, without systemic or local toxicities. These findings indicate that continuous oral immunotherapy plus tumor vaccination is a promising new strategy for glioma management that can be readily applied in clinical trials.
Acknowledgements
The authors would like to acknowledge Drs. Kristen Weishaar, Lisa Bartner, Breonna Kusick, Megan Curtis, as well as Kara Hall, Lindsay Carroll, and Allister Aradi for their assistance with management of clinical cases and sample collection. The authors would also like to acknowledge Ms. Lauren G. Harrison for assistance with analysis of tumor immune infiltrates. This project was supported by grants from the Shipley Family Foundation (to S.D.), from the Eldred Foundation (to R.A.P.), and by National Institutes of Health (NIH) grants: U01 CA5341458 (to S.D.), T32 OD012201 (to D.T.A.), K01 OD022982, and L30 TR002126 (to D.P.R.).
Abbreviations:
- TME
Tumor microenvironment
- CSC
Cancer stem cell
- J3T
canine glioma cell line
- MRI
magnetic resonance imaging
- mPFI
median progression-free interval
- MST
median survival time
- STAT3
Signal transducer and activator of transcription 3
- CCR2
C-C chemokine receptor type 2
- MDSC
Myeloid-derived suppressor cell
- TLR
Toll-like receptor
Footnotes
Declaration of interests. The authors have the following conflicts to disclose: SD is an inventor on an issued patent (US 10,512,687) covering the vaccine adjuvant used in these studies. The other authors declare no potential conflicts of interest.
References
- 1.Lamborn KR, Yung WA, Chang SM, Wen PY, Cloughesy TF, DeAngelis LM et al. Progression-free survival: an important end point in evaluating therapy for recurrent high-grade gliomas. Neuro. Oncol 10, 162–170 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Herranz C, Fernández F, Martín-Ibáñez R, Blasco E, Crespo E, De la Fuente C et al. Spontaneously arising canine glioma as a potential model for human glioma. J. Comp. Pathol 154, 169–179 (2016). [DOI] [PubMed] [Google Scholar]
- 3.Hubbard ME, Arnold S, Bin Zahid A, McPheeters M, Gerard O’Sullivan M, Tabaran AF et al. Naturally occurring canine glioma as a model for novel therapeutics. Cancer Invest. 36, 415–423 (2018). [DOI] [PubMed] [Google Scholar]
- 4.Packer RA, Rossmeisl JH, Kent MS, Griffin IV JF, Mazcko C, & LeBlanc AK Consensus recommendations on standardized magnetic resonance imaging protocols for multicenter canine brain tumor clinical trials. Vet. Radiol. Ultrasound 59, 261–271 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Koehler JW, Miller AD, Miller CR, Porter B, Aldape K, Beck J et al. A revised diagnostic classification of canine glioma: towards validation of the canine glioma patient as a naturally occurring preclinical model for human glioma. J. Neuropathol. Exp. Neurol 77, 1039–1054 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Brahm CG, van Linde ME, Enting RH, Schuur M, Otten RH, Heymans MW et al. The current status of immune checkpoint inhibitors in neuro-oncology: a systematic review. Cancers (Basel). 12, 586 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tong N, He Z, Ma Y, Wang Z, Huang Z, Cao H et al. Tumor Associated Macrophages, as the Dominant Immune Cells, Are an Indispensable Target for Immunologically Cold Tumor—Glioma Therapy? Front. Cell Dev. Biol 9, (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Regan DP, Coy JW, Chahal KK, Chow L, Kurihara JN, Guth AM et al. The angiotensin receptor blocker losartan suppresses growth of pulmonary metastases via AT1R-independent inhibition of CCR2 signaling and monocyte recruitment. J. Immunol 202, 3087–3102 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mohammadpour H, MacDonald CR, Qiao G, Chen M, Dong B, Hylander BL et al. β2 adrenergic receptor–mediated signaling regulates the immunosuppressive potential of myeloid-derived suppressor cells. J. Clin. Invest 129, 5537–5552 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.MacDonald C, Ministero S, Pandey M, Robinson D, Hong EF, Hylander B et al. Comparing thermal stress reduction strategies that influence MDSC accumulation in tumor bearing mice. Cell. Immunol 361, 104285 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Walle UK, Thibodeaux H, Privitera PJ & Walle T Stereochemistry of tissue distribution of racemic propranolol in the dog. Chirality 1, 192–196 (1989). [DOI] [PubMed] [Google Scholar]
- 12.Li Z, Bains JS & Ferguson AV Functional evidence that the angiotensin antagonist losartan crosses the blood-brain barrier in the rat. Brain Res. Bull 30, 33–39 (1993). [DOI] [PubMed] [Google Scholar]
- 13.Zhai Y, Li G, Li R, Chang Y, Feng Y, Wang D et al. Single-cell RNA-sequencing shift in the interaction pattern between glioma stem cells and immune cells during tumorigenesis. Front. Immunol 11, 2475 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Piper K, DePledge L, Karsy M & Cobbs C Glioma stem cells as immunotherapeutic targets: advancements and challenges. Front. Oncol 11, 92 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ishiguro T, Ohata H, Sato A, Yamawaki K, Enomoto T, & Okamoto K Tumor-derived spheroids: relevance to cancer stem cells and clinical applications. Cancer Sci. 108, 283–289 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.U’ren L, Kedl R & Dow S Vaccination with liposome–DNA complexes elicits enhanced antitumor immunity. Cancer Gene Ther. 13, 1033–1044 (2006). [DOI] [PubMed] [Google Scholar]
- 17.Zaks K, Jordan M, Guth A, Sellins K, Kedl R, Izzo A et al. Efficient immunization and cross-priming by vaccine adjuvants containing TLR3 or TLR9 agonists complexed to cationic liposomes. J. Immunol 176, 7335–7345 (2006). [DOI] [PubMed] [Google Scholar]
- 18.Merickel JL, Pluhar GE, Rendahl A & O’Sullivan MG Prognostic histopathologic features of canine glial tumors. Vet. Pathol 58, 945–951 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Guth AM, Deogracias M & Dow SW Comparison of cancer stem cell antigen expression by tumor cell lines and by tumor biopsies from dogs with melanoma and osteosarcoma. Vet. Immunol. Immunopathol 161, 132–140 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Boss MK, Watts R, Harrison LG, Hopkins S, Chow L, Trageser E et al. Immunologic Effects of Stereotactic Body Radiotherapy in Dogs with Spontaneous Tumors and the Impact of Intratumoral OX40/TLR Agonist Immunotherapy. Int. J. Mol. Sci 23, 826 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Okada H, Weller M, Huang R, Finocchiaro G, Gilbert MR, Wick W et al. Immunotherapy response assessment in neuro-oncology: a report of the RANO working group. Lancet Oncol. 16, e534–e542 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ellingson BM, Wen PY & Cloughesy TF Modified criteria for radiographic response assessment in glioblastoma clinical trials. Neurotherapeutics 14, 307–320 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Gomes IC, Acquarone M, de Moraes Maciel R, Erlich RB & Rehen SK Analysis of pluripotent stem cells by using cryosections of embryoid bodies. J. Vis. Exp. JoVE (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lenz JA, Assenmacher CA, Costa V, Louka K, Rau S, Keuler NS et al. Increased tumor-infiltrating lymphocyte density is associated with favorable outcomes in a comparative study of canine histiocytic sarcoma. Cancer Immunol. Immunother 71, 807–818 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Love MI, Huber W & Anders S Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 1–21 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.R Core Team. R: A Language and Environment for Statistical Computing. (2020).
- 27.Wickham H Elegant graphics for data analysis. Media 35, 10–1007 (2009). [Google Scholar]
- 28.Kassambara A, Kosinski M, Biecek P & Fabian S Package ‘survminer’. Draw. Surviv. Curves using ‘ggplot2’(R Packag. version 0.4.9) (2017). [Google Scholar]
- 29.Miller AD, Miller CR & Rossmeisl JH Canine primary intracranial cancer: a clinicopathologic and comparative review of glioma, meningioma, and choroid plexus tumors. Front. Oncol 9, 1151 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dobson JM Breed-predispositions to cancer in pedigree dogs. Int. Sch. Res. Not 2013, (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rainov NG, Koch S, Sena-Esteves M & Berens ME Characterization of a canine glioma cell line as related to established experimental brain tumor models. J. Neuropathol. Exp. Neurol 59, 607–613 (2000). [DOI] [PubMed] [Google Scholar]
- 32.Krane GA, O’Dea CA, Malarkey DE, Miller AD, Miller CR, Tokarz DA et al. Immunohistochemical evaluation of immune cell infiltration in canine gliomas. Vet. Pathol 58, 952–963 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Robinson MH, Vasquez J, Kaushal A, MacDonald TJ, Vega JEV, Schniederjan M, & Dhodapkar K Subtype and grade-dependent spatial heterogeneity of T-cell infiltration in pediatric glioma. J. Immunother. cancer 8, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Dickinson PJ, LeCouteur RA, Higgins RJ, Bringas JR, Larson RF, Yamashita Y et al. Canine spontaneous glioma: a translational model system for convection-enhanced delivery. Neuro. Oncol 12, 928–940 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hicks J, Platt S, Kent M & Haley A Canine brain tumours: a model for the human disease? Vet. Comp. Oncol 15, 252–272 (2017). [DOI] [PubMed] [Google Scholar]
- 36.Hidalgo Crespo E, Farré Mariné A, Pumarola i Battle M, Borrego Massó JF & Luján Feliu-Pascual A Survival Time after Surgical Debulking and Temozolomide Adjuvant Chemotherapy in Canine Intracranial Gliomas. Vet. Sci 9, 427 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dickinson PJ Advances in diagnostic and treatment modalities for intracranial tumors. J. Vet. Intern. Med 28, 1165–1185 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Debreuque M, De Fornel P, David I, Delisle F, Ducerveau MN, Devauchelle P & Thibaud JL Definitive-intent uniform megavoltage fractioned radiotherapy protocol for presumed canine intracranial gliomas: retrospective analysis of survival and prognostic factors in 38 cases (2013–2019). BMC Vet. Res 16, 1–14 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.José-López R, Gutierrez-Quintana R, de la Fuente C, Manzanilla EG, Suñol A, Pi Castro D et al. Clinical features, diagnosis, and survival analysis of dogs with glioma. J. Vet. Intern. Med (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Olin MR, Ampudia-Mesias E, Pennell CA, Sarver A, Chen CC, Moertel CL et al. Treatment combining CD200 immune checkpoint inhibitor and tumor-lysate vaccination after surgery for pet dogs with high-grade glioma. Cancers (Basel). 11, 137 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rossmeisl JH, Jones JC, Zimmerman KL & Robertson JL Survival time following hospital discharge in dogs with palliatively treated primary brain tumors. J. Am. Vet. Med. Assoc 242, 193–198 (2013). [DOI] [PubMed] [Google Scholar]
- 42.Pluhar GE, Grogan PT, Seiler C, Goulart M, SantaCruz KS, Carlson C et al. Anti-tumor immune response correlates with neurological symptoms in a dog with spontaneous astrocytoma treated by gene and vaccine therapy. Vaccine 28, 3371–3378 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Jäger E, Nagata Y, Gnjatic S, Wada H, Stockert E, Karbach J et al. Monitoring CD8 T cell responses to NY-ESO-1: correlation of humoral and cellular immune responses. Proc. Natl. Acad. Sci 97, 4760–4765 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Andersen BM, Pluhar GE, Seiler CE, Goulart MR, SantaCruz KS, Schutten MM et al. Vaccination for invasive canine meningioma induces in situ production of antibodies capable of antibody-dependent cell-mediated cytotoxicity. Cancer Res. 73, 2987–2997 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Regan DP, Chow L, Das S, Haines L, Palmer E, Kurihara JN et al. Losartan blocks osteosarcoma-elicited monocyte recruitment, and combined with the kinase inhibitor toceranib, exerts significant clinical benefit in canine metastatic osteosarcoma. Clin. Cancer Res (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Amaya CN, Perkins M, Belmont A, Herrera C, Nasrazadani A, Vargas A et al. Non-selective beta blockers inhibit angiosarcoma cell viability and increase progression free-and overall-survival in patients diagnosed with metastatic angiosarcoma. Oncoscience 5, 109 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wrobel LJ, Bod L, Lengagne R, Kato M, Prévost-Blondel A, & Le Gal FA Propranolol induces a favourable shift of anti-tumor immunity in a murine spontaneous model of melanoma. Oncotarget 7, 77825 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.O’Rawe M, Wickremesekera AC, Pandey R, Young D, Sim D, FitzJohn T et al. “Treatment of glioblastoma with re-purposed renin-angiotensin system modulators: Results of a phase I clinical trial.” Journal of Clinical Neuroscience. 95, 48–54 (2022). [DOI] [PubMed] [Google Scholar]
- 49.Murphy JE, Wo JY, Ryan DP, Clark JW, Jiang W, Yeap BY et al. Total neoadjuvant therapy with FOLFIRINOX in combination with losartan followed by chemoradiotherapy for locally advanced pancreatic cancer: a phase 2 clinical trial. JAMA Oncol. 5, 1020–1027 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.U’Ren LW, Biller BJ, Elmslie RE, Thamm DH & Dow SW Evaluation of a novel tumor vaccine in dogs with hemangiosarcoma. J. Vet. Intern. Med 21, 113–120 (2007). [DOI] [PubMed] [Google Scholar]
- 51.Empl MT, Macke S, Winterhalter P, Puff C, Lapp S, Stoica G et al. The growth of the canine glioblastoma cell line D-GBM and the canine histiocytic sarcoma cell line DH82 is inhibited by the resveratrol oligomers hopeaphenol and r2-viniferin. Vet. Comp. Oncol 12, 149–159 (2014). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in this study are available from the corresponding author, S.D., upon reasonable request. The R code used to analyze data in the current study is available on GitHub https://github.com/dyammons/CanineGliomaManuscript (DOI: 10.5281/zenodo.7309262).