Background The tumor-selective human adenovirus Delta24-RGD is currently under investigation in phase II clinical trials for patients with recurrent glioblastoma (GBM). To improve treatments for patients with GBM, we explored the potential of combining Delta24-RGD with antibodies targeting immune checkpoints. Methods C57BL/6 mice were intracranially injected with GL261 cells and treated with a low dose of Delta24-RGD virus. The expression dynamics of 10 co-signaling molecules known to affect immune activity was assessed in tumor-infiltrating immune cells by flow cytometry after viral injection. The antitumor activity was measured by tumor cell killing and IFNγ production in co-cultures. Efficacy of the combination viro-immunotherapy was tested in vitro and in the GL261 and CT2A orthotopic mouse GBM models. Patient-derived GBM cell cultures were treated with Delta24-RGD to assess changes in PD-L1 expression induced by virus infection. Results Delta24-RGD therapy increased intratumoral CD8+ T cells expressing Inducible T-cell co-stimulator (ICOS) and PD-1. Functionality assays confirmed a significant positive correlation between tumor cell lysis and IFNγ production in ex vivo cultures (Spearman r = 0.9524; P < .01). Co-cultures significantly increased IFNγ production upon treatment with PD-1 blocking antibodies. In vivo, combination therapy with low-dose Delta24-RGD and anti-PD-1 antibodies significantly improved outcome compared to single-agent therapy in both syngeneic mouse glioma models and increased PD-1+ tumor-infiltrating CD8+ T cells. Delta24-RGD infection induced tumor-specific changes in PD-L1 expression in primary GBM cell cultures. Conclusions This study demonstrates the potential of using low-dose Delta24-RGD therapy to sensitize glioma for combination with anti-PD-1 antibody therapy.
Oncolytic virus (OV) treatment may offer a new treatment option for the aggressive brain tumor glioblastoma. Clinical trials testing oncolytic viruses in this patient group have shown promising results, with patients achieving impressive long-term clinical responses. However, the number of responders to each OV remains low. This is thought to arise from the large heterogeneity of these tumors, both in terms of molecular make-up and their immune-suppressive microenvironment, leading to variability in responses. An approach that may improve response rates is the personalized utilization of oncolytic viruses against Glioblastoma (GBM), based on specific tumor- or patient-related characteristics. In this review, we discuss potential biomarkers for response to different OVs as well as emerging ex vivo assays that in the future may enable selection of optimal OV for a specific patient and design of stratified clinical OV trials for GBM.
Mass spectrometry (MS)-based proteomics profiling has undoubtedly increased the knowledge about cellular processes and functions. However, its applicability for paucicellular sample analyses is currently limited. Although new approaches have been developed for single-cell studies, most of them have not (yet) been standardized and/or require highly specific (often home-built) devices, thereby limiting their broad implementation, particularly in non-specialized settings. To select an optimal MS-oriented proteomics approach applicable in translational research and clinical settings, we assessed 10 different sample preparation procedures in paucicellular samples of closely-related cell types. Particularly, five cell lysis protocols using different chemistries and mechanical forces were combined with two sample clean-up techniques (C18 filter- and SP3-based), followed by tandem mass tag (TMT)-based protein quantification. The evaluation was structured in three phases: first, cell lines from hematopoietic (THP-1) and non-hematopoietic (HT-29) origins were used to test the approaches showing the combination of a urea-based lysis buffer with the SP3 bead-based clean-up system as the best performer. Parameters such as reproducibility, accessibility, spatial distribution, ease of use, processing time and cost were considered. In the second phase, the performance of the method was tested on maturation-related cell populations: three different monocyte subsets from peripheral blood and, for the first time, macrophages/microglia (MAC) from glioblastoma samples, together with T cells from both tissues. The analysis of 50,000 cells down to only 2,500 cells revealed different protein expression profiles associated with the distinct cell populations. Accordingly, a closer relationship was observed between non-classical monocytes and MAC, with the latter showing the co-expression of M1 and M2 macrophage markers, although pro-tumoral and anti-inflammatory proteins were more represented. In the third phase, the results were validated by high-end spectral flow cytometry on paired monocyte/MAC samples to further determine the sensitivity of the MS approach selected. Finally, the feasibility of the method was proven in 194 additional samples corresponding to 38 different cell types, including cells from different tissue origins, cellular lineages, maturation stages and stimuli. In summary, we selected a reproducible, easy-to-implement sample preparation method for MS-based proteomic characterization of paucicellular samples, also applicable in the setting of functionally closely-related cell populations.
BACKGROUND The dismal prognosis of glioblastoma (GBM) patients, with a median survival of less than 15 months despite maximal therapy urgently warrants new therapeutic approaches. Clinical trials employing oncolytic viruses (OVs) have shown encouraging results, however, in each OV clinical trial only a small subset of patients responded to treatment. As inter-tumoral heterogeneity has been the key challenge in treating GBM, we hypothesized that development of an in vitro co-culture model for assessment of viral replication and subsequent immune response might ultimately predict in vivo OV efficacy for individual GBM patients. METHODS 20 patient-derived GBM cell cultures were tested with dose-ranges of two clinically relevant OVs (DNX2401 and rQnestin34.5 V1) to determine the EC50 values (half-maximal effective concentration). To discriminate between responders and non-responders six of these cultures were infected using MOI 10 for DNX2401 and 0.25 for rQnestin34.5V1, and co-cultured with autologous PBMCs. OV-induced changes in gene and protein expression of immune associated genes were assessed using targeted gene expression (NanoString Technology) and ELISA. RESULTS DNX2401 EC50 values ranged from 0.35 to > 600 and from 0.04 to 1.77 for rQnestin34.5V1. Induction of pro-inflammatory cytokines and chemokines differed per virus and per patient. Enhanced OV infection or oncolysis efficiency did not lead to increased levels of IFNγ production. Importantly, longer exposure to dexamethasone prior to PBMC isolation correlated with suppressed IFNγ production. CONCLUSION We established an autologous GBM cells/PBMCs co-culture model which reflects inter-tumoral heterogeneity in terms of cytokine induction and virus-specific changes in gene and protein expression upon OV infection. Immune activation is not directly related to degree of infection or oncolysis and can be hampered by prolonged prior dexamethasone use. These first results support our hypothesis that improved prediction of response rates in oncolytic virotherapy for GBM may require a personalized approach with an in vitro test system.
Background: The brain tumor glioblastoma (GBM) is one of the most aggressive forms of cancer. The dismal prognosis of these patients, with a median survival of less than 15 months despite maximal therapy makes the need for new therapeutic approaches urgent. Clinical trials employing oncolytic viruses (OVs) have shown encouraging results, however, it appears that for each OV only a small group of patients responds to treatment. As inter- and intra-tumoral heterogeneity is a hallmark of GBM, we hypothesized that fresh patient-derived GBM cell cultures will reflect this inter-tumoral variability in response and allow identification of potential biomarkers of susceptibility to specific OVs. Furthermore, we established a co-culture system of primary GBM cultures with autologous peripheral blood mononuclear cells (PBMCs) to capture the degree of OV-induced oncolysis in conjunction with subsequent immune activation. Using these model systems, we attempt to develop tools which may guide future personalized trials of OV treatment for GBM. Methods: We tested the oncolytic potency of four OVs derived from different viral families (DNX2401, rQnestin34.5 V1, wild type Reovirus, lentogenic NDV-f0-GFP) on a panel of 19 molecularly characterized GBM cultures and calculated the half maximal effective concentration (EC50) for each virus on each cell culture. Quantitative PCR was performed to assess cytokine expression in tumor cells after infection with the 4 different OVs. OV-induced changes in the gene and protein expression of immune associated genes were assessed in co-cultures of GBM cells with PBMCs using Nanostring nCounter System and Elisa. Results: Screening of the 4 OVs on the panel of patient-derived GBM cell cultures revealed great inter-tumoral variability in oncolysis and cytokine response to the 4 different OVs with some degree of OV specific cytokine response profiles. Correlation analysis of transcriptome data with susceptibility to the four OVs shows that genes involved in distinct pathways are related to specific OV-sensitivity. In particular, cell cycle and immune related biological processes discriminate responders and non-responders. The co-culture of OV-infected glioma cells with PBMCs suggests that infection with different OVs leads to expression of distinct sets of genes and proteins in PBMCs; indicating that each OV mounts a specific immune response. Conclusion: Heterogeneity in OV sensitivity is demonstrated in primary GBM cultures, in terms of oncolysis, cytokine induction and in virus-specific changes in gene and protein expression in OV-infected tumor cells/PBMCs co-cultures. These results support the hypothesis that improving the response rates in oncolytic virotherapy for GBM may require a personalized approach. Citation Format: Eftychia Stavrakaki, Anne Kleijn, Wouter B. van den Bossche, Rutger K. Balvers, Lisette B. Vogelezang, Jie Ju, Andrew Stubbs, Yunlei Li, Dana Mustafa, Federica Fabro, Bernadette van den Hoogen, Rob Hoeben, William F. Goins, Hiroshi Nakashima, E. Antonio Chiocca, Clemens M. Dirven, Martine L. Lamfers. Towards personalized oncolytic virotherapy: Differential response of four oncolytic viruses in primary glioblastoma cultures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3560.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.