Submitted:
20 November 2024
Posted:
21 November 2024
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Abstract
Canine high-grade glioma (HGG) is among the deadliest and most treatment-resistant forms of canine cancer. Successful, widespread treatment is challenged by heterogeneity in tumor cells and the tumor microenvironment and tumor evolution following treatment. Immunotherapy is theoretically a strong novel therapy, since HGG-generated immunosuppression is a substantial malignancy mechanism. Immunotherapy has improved survival times overall, but has been associated with extremely poor outcomes in French bulldogs. Given this breed-specific observation, we hypothesized that within the French bulldog breed, there are key transcriptomic differences when compared to other breeds, and that their tumors change differently in response to immunotherapy. Using bulk RNA sequencing, French bulldog tumors were confirmed to differ substantially from boxer and Boston terrier tumors, with only 15.9% overlap in significant differentially expressed genes (DEGs). In upregulated DEGs, the magnitude of changes in expression post-treatment compared to pre-treatment was markedly greater in French bulldogs. Gene set enrichment analysis confirmed that following treatment, French bulldog tumors showed enrichment of key immune-associated pathways previously correlated with poor prognosis. Overall, this study confirmed that French bulldog HGG transcriptomes differ from boxer and Boston terrier transcriptomes, further refining description of the canine glioma transcriptome and providing important information to guide novel therapy development.

Keywords:
1. Introduction
2. Materials and Methods
A. Glioma Samples
B. RNA Purification and RNA Sequencing
C. Differential Gene Expression, Comparisons Between French Bulldogs and Boxers and Boston Terriers, and Gene Set Enrichment Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Amin SB, Anderson KJ, Boudreau CE, et al. Comparative Molecular Life History of Spontaneous Canine and Human Gliomas. Cancer Cell 2020, 37, 243–257.e7. [Google Scholar] [CrossRef] [PubMed]
- José-López R, Gutierrez-Quintana R, de la Fuente C, et al. Clinical features, diagnosis, and survival analysis of dogs with glioma. Journal of Veterinary Internal Medicine 2021, 35, 1902–1917. [Google Scholar] [CrossRef] [PubMed]
- Song RB, Vite CH, Bradley CW, et al. Postmortem evaluation of 435 cases of intracranial neoplasia in dogs and relationship of neoplasm with breed, age, and body weight. J Vet Intern Med 2013, 27, 1143–1152. [Google Scholar] [CrossRef] [PubMed]
- Snyder JM, Shofer FS, Van Winkle TJ, et al. Canine intracranial primary neoplasia: 173 cases (1986-2003). J Vet Intern Med 2006, 20, 669–675. [Google Scholar] [CrossRef]
- Koehler JW, Miller AD, Miller CR, 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 2018, 77, 1039–1054. [Google Scholar] [CrossRef]
- Boudreau CE, York D, Higgins RJ, et al. Molecular signalling pathways in canine gliomas. Veterinary and Comparative Oncology 2017, 15, 133–150. [Google Scholar] [CrossRef]
- Mitchell D, Chintala S, Fetcko K, et al. Common Molecular Alterations in Canine Oligodendroglioma and Human Malignant Gliomas and Potential Novel Therapeutic Targets. Front Oncol; 9. Epub ahead of print 14 August 2019. [CrossRef]
- Stepanenko AA, Sosnovtseva AO, Valikhov MP, et al. Systemic and local immunosuppression in glioblastoma and its prognostic significance. Front Immunol; 15. Epub ahead of print 28 February 2024. [CrossRef]
- Guha P, Heatherton KR, O’Connell KP, et al. Assessing the Future of Solid Tumor Immunotherapy. Biomedicines 2022, 10, 655. [Google Scholar] [CrossRef]
- Raphael I, Mujeeb AA, Ampudia-Mesias E, et al. CD200 depletion in glioma enhances antitumor immunity and induces tumor rejection. 2024; 2024.09.08.611922.
- Ampudia-Mesias E, Puerta-Martinez F, Bridges M, et al. CD200 Immune-Checkpoint Peptide Elicits an Anti-glioma Response Through the DAP10 Signaling Pathway. Neurotherapeutics 2021, 18, 1980–1994. [Google Scholar] [CrossRef]
- Moertel C, Martinez-Puerta F, Elizabeth Pluhar GG, et al. CD200AR-L: mechanism of action and preclinical and clinical insights for treating high-grade brain tumors. Expert Opin Investig Drugs 2022, 31, 875–879. [Google Scholar] [CrossRef]
- Haehnel S, Rade M, Kaiser N, et al. RNA sequencing of glioblastoma tissue slice cultures reveals the effects of treatment at the transcriptional level. FEBS Open Bio 2021, 12, 480–493. [Google Scholar]
- Wang L, Jung J, Babikir H, et al. A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets. Nat Cancer 2022, 3, 1534–1552. [Google Scholar] [CrossRef] [PubMed]
- Hara T, Chanoch-Myers R, Mathewson ND, et al. Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma. Cancer Cell 2021, 39, 779–792.e11. [Google Scholar] [CrossRef] [PubMed]
- Verploegh ISC, Conidi A, Brouwer RWW, et al. Comparative single-cell RNA-sequencing profiling of BMP4-treated primary glioma cultures reveals therapeutic markers. Neuro-Oncology 2022, 24, 2133–2145. [Google Scholar] [CrossRef] [PubMed]
- Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO Classification of Tumours of the Central Nervous System. Acta Neuropathol 2007, 114, 97–109. [Google Scholar] [CrossRef]
- Baller J, Kono T, Herman A, et al. CHURP: A Lightweight CLI Framework to Enable Novice Users to Analyze Sequencing Datasets in Parallel. In: Practice and Experience in Advanced Research Computing, A: of the Machines (learning). New York, NY, USA Association for Computing Machinery, pp. 1–5.
- Jagannathan V, Hitte C, Kidd JM, et al. Dog10K_Boxer_Tasha_1.0: A Long-Read Assembly of the Dog Reference Genome. Genes (Basel) 2021, 12, 847. [Google Scholar] [CrossRef]
- Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology 2014, 15, 550.
- Hubbard ME, Arnold S, Bin Zahid A, et al. Naturally Occurring Canine Glioma as a Model for Novel Therapeutics. Cancer Invest 2018, 36, 415–423. [Google Scholar] [CrossRef]
- Canine Glioma as a Model for Human Glioblastoma | IntechOpen, https://www.intechopen.com/chapters/82974 (accessed 13 September 2024).
- Hicks WH, Bird CE, Pernik MN, et al. Large Animal Models of Glioma: Current Status and Future Prospects. Anticancer Research 2021, 41, 5343–5353. [Google Scholar] [CrossRef]
- Tan C, Liu L, Liu X, et al. Activation of PTGS2/NF-κB signaling pathway enhances radiation resistance of glioma. Cancer Med 2019, 8, 1175–1185. [Google Scholar] [CrossRef]
- Wang J, Yang Y, Cao Y, et al. miR-342 inhibits glioma cell proliferation by targeting GPRC5A. Molecular Medicine Reports 2019, 20, 252–260. [Google Scholar]
- Jin E, Wang W, Fang M, et al. Clinical significance of reduced GPRC5A expression in surgically resected non-small cell lung cancer. Oncol Lett 2019, 17, 502–507. [Google Scholar]
- Gu C, Zhou N, Wang Z, et al. circGprc5a Promoted Bladder Oncogenesis and Metastasis through Gprc5a-Targeting Peptide. Mol Ther Nucleic Acids 2018, 13, 633–641. [Google Scholar] [CrossRef] [PubMed]
- Klaschik K, Hauke J, Neidhardt G, et al. The GPRC5A frameshift variant c.183del is not associated with increased breast cancer risk in BRCA1 mutation carriers. Int J Cancer 2019, 144, 1761–1763. [Google Scholar] [CrossRef]
- Huang W, Shi Y, Han B, et al. miR-802 inhibits the proliferation, invasion, and epithelial-mesenchymal transition of glioblastoma multiforme cells by directly targeting SIX4. Cell Biochem Funct 2020, 38, 66–76.
- Varn FS, Johnson KC, Martinek J, et al. Glioma progression is shaped by genetic evolution and microenvironment interactions. Cell 2022, 185, 2184–2199.e16. [Google Scholar] [CrossRef]
- Wang: Tumor evolution of glioma-intrinsic gene expression... - Google Scholar, https://scholar.google.com/scholar_lookup?title=Tumor%20evolution%20of%20Glioma-Intrinsic%20Gene%20Expression%20Subtypes%20Associates%20with%20immunological%20changes%20in%20the%20microenvironment&publication_year=2017&author=Q.%20Wang&author=B.%20Hu&author=X.%20Hu&author=H.%20Kim&author=M.%20Squatrito&author=L.%20Scarpace&author=A.C.%20deCarvalho&author=S.%20Lyu&author=P.%20Li&author=Y.%20Li (accessed 13 September 2024).
- Venteicher AS, Tirosh I, Hebert C, et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. Science 2017, 355, eaai8478.
- Neftel C, Laffy J, Filbin MG, et al. An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. Cell 2019, 178, 835–849.e21. [Google Scholar] [CrossRef]
- Johnson KC, Anderson KJ, Courtois ET, et al. Single-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response. Nat Genet 2021, 53, 1456–1468. [Google Scholar] [CrossRef]
- Varn FS, Johnson KC, Martinek J, et al. Glioma progression is shaped by genetic evolution and microenvironment interactions. Cell 2022, 185, 2184–2199.e16. [Google Scholar] [CrossRef]
- Barthel FP, Johnson KC, Varn FS, et al. Longitudinal molecular trajectories of diffuse glioma in adults. Nature 2019, 576, 112–120. [Google Scholar] [CrossRef] [PubMed]
- Wang Q, Hu B, Hu X, et al. Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment. Cancer Cell 2017, 32, 42–56.e6. [Google Scholar] [CrossRef] [PubMed]
- Wang J, Cazzato E, Ladewig E, et al. Clonal evolution of glioblastoma under therapy. Nat Genet 2016, 48, 768–776. [Google Scholar] [CrossRef] [PubMed]
- Körber V, Yang J, Barah P, et al. Evolutionary Trajectories of IDHWT Glioblastomas Reveal a Common Path of Early Tumorigenesis Instigated Years ahead of Initial Diagnosis. Cancer Cell 2019, 35, 692–704.e12. [Google Scholar] [CrossRef] [PubMed]
- Kim J, Lee I-H, Cho HJ, et al. Spatiotemporal Evolution of the Primary Glioblastoma Genome. Cancer Cell 2015, 28, 318–328. [Google Scholar] [CrossRef] [PubMed]
- Kim H, Zheng S, Amini SS, et al. Whole-genome and multisector exome sequencing of primary and post-treatment glioblastoma reveals patterns of tumor evolution. Genome Res 2015, 25, 316–327. [Google Scholar] [CrossRef]
- Hu Y, Li Z, Zhang Y, et al. The Evolution of Tumor Microenvironment in Gliomas and Its Implication for Target Therapy. Int J Biol Sci 2023, 19, 4311–4326. [Google Scholar] [CrossRef] [PubMed]
- Hoogstrate Y, Draaisma K, Ghisai SA, et al. Transcriptome analysis reveals tumor microenvironment changes in glioblastoma. Cancer Cell 2023, 41, 678–692.e7. [Google Scholar] [CrossRef]
- Buonfiglioli A, Hambardzumyan D. Macrophages and microglia: the cerberus of glioblastoma. Acta Neuropathol Commun 2021, 9, 54. [Google Scholar] [CrossRef]
- Hara T, Chanoch-Myers R, Mathewson ND, et al. Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma. Cancer Cell 2021, 39, 779–792.e11. [Google Scholar] [CrossRef]
- Schaller TH, Batich KA, Suryadevara CM, et al. Chemokines as adjuvants for immunotherapy: Implications for immune activation with CCL3. Expert review of clinical immunology 2017, 13, 1049. [Google Scholar] [CrossRef]
- Vidyarthi A, Agnihotri T, Khan N, et al. Predominance of M2 macrophages in gliomas leads to the suppression of local and systemic immunity. Cancer Immunol Immunother 2019, 68, 1995–2004. [Google Scholar] [CrossRef] [PubMed]
- Wang X, Zhang L, Zhou Y, et al. Chronic Stress Exacerbates the Immunosuppressive Microenvironment and Progression of Gliomas by Reducing Secretion of CCL3. Cancer Immunol Res 2024, 12, 516–529. [Google Scholar] [CrossRef] [PubMed]
- Akhavan D, Cloughesy TF, Mischel PS. mTOR signaling in glioblastoma: lessons learned from bench to bedside. Neuro Oncol 2010, 12, 882–889. [Google Scholar] [CrossRef] [PubMed]
- Colardo M, Segatto M, Di Bartolomeo S. Targeting RTK-PI3K-mTOR Axis in Gliomas: An Update. International Journal of Molecular Sciences 2021, 22, 4899. [Google Scholar] [CrossRef] [PubMed]
- Lai G, Zhong X, Liu H, et al. Development of a Hallmark Pathway-Related Gene Signature Associated with Immune Response for Lower Grade Gliomas. Int J Mol Sci 2022, 23, 11971. [Google Scholar] [CrossRef]
- Wang L, Wei B, Hu G, et al. Screening of differentially expressed genes associated with human glioblastoma and functional analysis using a DNA microarray. Mol Med Rep 2015, 12, 1991–1996. [Google Scholar] [CrossRef]
- Zhou Y, Wang S, Yan H, et al. Identifying Key Somatic Copy Number Alterations Driving Dysregulation of Cancer Hallmarks in Lower-Grade Glioma. Front Genet 2021, 12, 654736. [Google Scholar] [CrossRef]
- Mabunda RS, Makgahlela ML, Nephawe KA, et al. Evaluation of Genetic Diversity in Dog Breeds Using Pedigree and Molecular Analysis: A Review. Diversity 2022, 14, 1054. [Google Scholar] [CrossRef]







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