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Suzuki T, Henshaw MJ, Yanagi T, Aoshima K. Current understanding of comparative pathology and prospective research approaches for canine hemangiosarcoma. Res Vet Sci 2024; 167:105120. [PMID: 38150941 DOI: 10.1016/j.rvsc.2023.105120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/29/2023]
Abstract
Hemangiosarcoma (HSA) is a malignant tumor originating from endothelial cells. HSA typically develops in dogs, but is rare in other animals, including humans. Although surgery and chemotherapy are conventional treatments for HSA, neither treatment can significantly improve patient prognosis. To develop novel and effective therapeutics, a deeper understanding of HSA pathogenesis must be acquired. However, the limited research tools for HSA have been unable to make a breakthrough; therefore, it is crucial to widely utilize or establish novel research tools such as patient-derived xenograft models, organoids, and chicken embryo xenograft models. The pathogenesis of the human counterpart of HSA, angiosarcoma (AS), also remains incompletely understood, preventing the extrapolation of findings from humans to dogs, unlike other diseases. In this review, we summarize the clinicopathological and morphological features of HSA, and then we discuss the current understanding of the molecular pathology of HSA. Finally, we highlight promising research tools that may accelerate HSA basic research toward developing novel therapeutics. We also briefly summarize AS to help researchers comprehend HSA from the perspective of comparative pathology.
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Affiliation(s)
- Tamami Suzuki
- Laboratory of Comparative Pathology, Department of Clinical Sciences, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan
| | - Michael James Henshaw
- English Education Section, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan
| | - Teruki Yanagi
- Department of Dermatology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido 060-8638, Japan
| | - Keisuke Aoshima
- Laboratory of Comparative Pathology, Department of Clinical Sciences, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan; Cancer Research Unit, One Health Research Center, Hokkaido University, Sapporo, Hokkaido 060-0818, Japan.
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Kim JH, Megquier K, Thomas R, Sarver AL, Song JM, Kim YT, Cheng N, Schulte AJ, Linden MA, Murugan P, Oseth L, Forster CL, Elvers I, Swofford R, Turner-Maier J, Karlsson EK, Breen M, Lindblad-Toh K, Modiano JF. Genomically Complex Human Angiosarcoma and Canine Hemangiosarcoma Establish Convergent Angiogenic Transcriptional Programs Driven by Novel Gene Fusions. Mol Cancer Res 2021; 19:847-861. [PMID: 33649193 DOI: 10.1158/1541-7786.mcr-20-0937] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 12/21/2020] [Accepted: 02/10/2021] [Indexed: 11/16/2022]
Abstract
Sporadic angiosarcomas are aggressive vascular sarcomas whose rarity and genomic complexity present significant obstacles in deciphering the pathogenic significance of individual genetic alterations. Numerous fusion genes have been identified across multiple types of cancers, but their existence and significance remain unclear in sporadic angiosarcomas. In this study, we leveraged RNA-sequencing data from 13 human angiosarcomas and 76 spontaneous canine hemangiosarcomas to identify fusion genes associated with spontaneous vascular malignancies. Ten novel protein-coding fusion genes, including TEX2-PECAM1 and ATP8A2-FLT1, were identified in seven of the 13 human tumors, with two tumors showing mutations of TP53. HRAS and NRAS mutations were found in angiosarcomas without fusions or TP53 mutations. We found 15 novel protein-coding fusion genes including MYO16-PTK2, GABRA3-FLT1, and AKT3-XPNPEP1 in 11 of the 76 canine hemangiosarcomas; these fusion genes were seen exclusively in tumors of the angiogenic molecular subtype that contained recurrent mutations in TP53, PIK3CA, PIK3R1, and NRAS. In particular, fusion genes and mutations of TP53 cooccurred in tumors with higher frequency than expected by random chance, and they enriched gene signatures predicting activation of angiogenic pathways. Comparative transcriptomic analysis of human angiosarcomas and canine hemangiosarcomas identified shared molecular signatures associated with activation of PI3K/AKT/mTOR pathways. Our data suggest that genome instability induced by TP53 mutations might create a predisposition for fusion events that may contribute to tumor progression by promoting selection and/or enhancing fitness through activation of convergent angiogenic pathways in this vascular malignancy. IMPLICATIONS: This study shows that, while drive events of malignant vasoformative tumors of humans and dogs include diverse mutations and stochastic rearrangements that create novel fusion genes, convergent transcriptional programs govern the highly conserved morphologic organization and biological behavior of these tumors in both species.
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Affiliation(s)
- Jong Hyuk Kim
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota. .,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Kate Megquier
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Rachael Thomas
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine & Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina
| | - Aaron L Sarver
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota
| | - Jung Min Song
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Yoon Tae Kim
- Department of Electrical Engineering and Computer Science, York University, Toronto, Ontario, Canada
| | - Nuojin Cheng
- School of Mathematics, College of Science and Engineering, University of Minnesota, Minneapolis, Minnesota
| | - Ashley J Schulte
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota.,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Michael A Linden
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Paari Murugan
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - LeAnn Oseth
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Colleen L Forster
- The University of Minnesota Biological Materials Procurement Network (BioNet), University of Minnesota, Minneapolis, Minnesota
| | - Ingegerd Elvers
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Ross Swofford
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | | | - Elinor K Karlsson
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,University of Massachusetts Medical School, Worcester, Massachusetts
| | - Matthew Breen
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine & Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina.,Cancer Genetics Program, University of North Carolina Lineberger Comprehensive Cancer Center, Raleigh, North Carolina
| | - Kerstin Lindblad-Toh
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Jaime F Modiano
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, Minnesota.,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, Minnesota.,Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota.,Center for Immunology, University of Minnesota, Minneapolis, Minnesota.,Stem Cell Institute, University of Minnesota, Minneapolis, Minnesota
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Cheng N, Schulte AJ, Santosa F, Kim JH. Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma. Brief Bioinform 2020; 22:5930848. [PMID: 33078825 DOI: 10.1093/bib/bbaa252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/02/2020] [Accepted: 09/08/2020] [Indexed: 01/20/2023] Open
Abstract
Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very rare, and due to their aggressive behavior and high metastatic propensity, they have poor clinical outcomes. Hemangiosarcomas commonly occur in domestic dogs, and share pathological and clinical features with human angiosarcomas. Typical pathognomonic features of this tumor are irregular vascular channels that are filled with blood and are lined by a mixture of malignant and nonmalignant endothelial cells. The current gold standard is the histological diagnosis of angiosarcoma; however, microscopic evaluation may be complicated, particularly when tumor cells are undetectable due to the presence of excessive amounts of nontumor cells or when tissue specimens have insufficient tumor content. In this study, we implemented machine learning applications from next-generation transcriptomic data of canine hemangiosarcoma tumor samples (n = 76) and nonmalignant tissues (n = 10) to evaluate their training performance for diagnostic utility. The 10-fold cross-validation test and multiple feature selection methods were applied. We found that extra trees and random forest learning models were the best classifiers for hemangiosarcoma in our testing datasets. We also identified novel gene signatures using the mutual information and Monte Carlo feature selection method. The extra trees model revealed high classification accuracy for hemangiosarcoma in validation sets. We demonstrate that high-throughput sequencing data of canine hemangiosarcoma are trainable for machine learning applications. Furthermore, our approach enables us to identify novel gene signatures as reliable determinants of hemangiosarcoma, providing significant insights into the development of potential applications for this vascular malignancy.
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Affiliation(s)
- Nuojin Cheng
- School of Mathematics, College of Science and Engineering at the University of Minnesota, Minneapolis, MN, USA
| | - Ashley J Schulte
- Animal Cancer Care and Research Program, Department of Veterinary Clinical Sciences, College of Veterinary Medicine at the University of Minnesota, St Paul, MN, USA
| | - Fadil Santosa
- Department of Applied Mathematics & Statistics, Whiting School of Engineering at the Johns Hopkins University, Baltimore, MD, USA
| | - Jong Hyuk Kim
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine at the University of Minnesota, St Paul, MN, USA
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Kim JH. Interleukin-8 in the Tumor Immune Niche: Lessons from Comparative Oncology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1240:25-33. [PMID: 32060885 DOI: 10.1007/978-3-030-38315-2_2] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Interleukin (IL)-8 is a chemokine that is essential for inflammation and angiogenesis. IL-8 expression is elevated in tumor cell lines and tissues, as well as in peripheral blood obtained from cancer patients. Primary works have attempted to determine the biological effect of IL-8 on tumor cells, including cell proliferation, survival, and migration. More recently, IL-8 has acquired considerable attention as an immune modulator in the context of certain tumor microenvironments (TME); specifically, it can support a niche that favors tumor progression and metastasis. Tumor-derived IL-8 stimulates inflammation by interacting with the microenvironmental constituents, including fibroblasts, endothelial cells, and immune cells. However, the tumor immune system is complex, and mechanisms that construct the immune phenotype remain incompletely characterized. Herein, we will (1) address a potential role of IL-8 in regulating gene expression to establish immune landscape in tumor. Then, we will (2) review IL-8 signaling in the maintenance of stem cells and regulation of hematopoietic progenitors. Finally, (3) IL-8 functions will be discussed in naturally occurring animal cancers that offer a clinically realistic model for translational research. This chapter will provide a new insight into the tumor immune niche and help us develop immunotherapies for cancers.
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Affiliation(s)
- Jong-Hyuk Kim
- Animal Cancer Care and Research Program, University of Minnesota, St Paul, MN, USA. .,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul, MN, USA. .,Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
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Langsten KL, Kim JH, Sarver AL, Dewhirst M, Modiano JF. Comparative Approach to the Temporo-Spatial Organization of the Tumor Microenvironment. Front Oncol 2019; 9:1185. [PMID: 31788448 PMCID: PMC6854022 DOI: 10.3389/fonc.2019.01185] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 10/21/2019] [Indexed: 12/13/2022] Open
Abstract
The complex ecosystem in which tumor cells reside and interact, termed the tumor microenvironment (TME), encompasses all cells and components associated with a neoplasm that are not transformed cells. Interactions between tumor cells and the TME are complex and fluid, with each facet coercing the other, largely, into promoting tumor progression. While the TME in humans is relatively well-described, a compilation and comparison of the TME in our canine counterparts has not yet been described. As is the case in humans, dog tumors exhibit greater heterogeneity than what is appreciated in laboratory animal models, although the current level of knowledge on similarities and differences in the TME between dogs and humans, and the practical implications of that information, require further investigation. This review summarizes some of the complexities of the human and mouse TME and interjects with what is known in the dog, relaying the information in the context of the temporo-spatial organization of the TME. To the authors' knowledge, the development of the TME over space and time has not been widely discussed, and a comprehensive review of the canine TME has not been done. The specific topics covered in this review include cellular invasion and interactions within the TME, metabolic derangements in the TME and vascular invasion, and the involvement of the TME in tumor spread and metastasis.
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Affiliation(s)
- Kendall L Langsten
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN, United States
| | - Jong Hyuk Kim
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, United States.,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States
| | - Aaron L Sarver
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States.,Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States
| | - Mark Dewhirst
- Radiation Oncology Department, Duke University Medical School, Durham, NC, United States
| | - Jaime F Modiano
- Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN, United States.,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States.,Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, United States.,Center for Immunology, University of Minnesota, Minneapolis, MN, United States.,Stem Cell Institute, University of Minnesota, Minneapolis, MN, United States.,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, United States
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