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This dataset includes baseline pathologic, MRI and genomic features of 85 treatment-naive naturally-occurring canine glioma. The data were collected from 5 different veterinary institutions' patient populations. Clinical MRI are available prior to any treatment, and surgical biopsy and/or tissues collected at necropsy are provided as H&E stained sections. The tumors have been classified with a harmonized classification scheme developed by veterinary and physician neuropathologists. The genomic features were described using whole exome, whole genome, RNAseq and methylation profiling.


We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • This work was funded in part by NCI funding to designated cancer centers through a competitive P30 supplement mechanism and through support of the COP, an intramural NCI/Center for Cancer Research program.

  • Continue with any names from additional submitting sites if collection consists of more that one.

Localtab Group

titleData Access

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titleDetailed Description

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MR, Pathology

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titleCitations & Data Usage Policy

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Public collection license


Samirkumar B. Amin1, Kevin J. Anderson1,$, C. Elizabeth Boudreau2,$, Emmanuel Martinez-Ledesma3, 4,$, Emre Kocakavuk1,5, Kevin C. Johnson1, Floris P. Barthel1, Frederick S. Varn1, Cynthia Kassab6, Xiaoyang Ling6, Hoon Kim1, Mary Barter7, Chew Yee Ngan1, Margaret Chapman,1 Jennifer W. Koehler8, Andrew D. Miller9, C. Ryan Miller10, Brian F. Porter11, Daniel R. Rissi12, Christina Mazcko13, Amy K. LeBlanc13, Peter J. Dickinson14, Rebecca Packer15, Amanda R. Taylor16¥, John H. Rossmeisl Jr17, Amy Heimberger6#, Jonathan M. Levine2,#, Roel G. W. Verhaak1,# 1 The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA 2 Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA 3 Tecnologico de Monterrey, Monterrey, Mexico 4 Department of Neuro-Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA 5 DKFZ Division of Translational Neurooncology at the West German Cancer Center (WTZ), German Cancer Consortium (DKTK) Partner Site & Department of Neurosurgery, University Hospital Essen, Essen, Germany 6 Department of Neurosurgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA 7 The Jackson Laboratory, Bar Harbor, ME, 04609, USA 8 Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA 9Department of Biomedical Sciences, Section of Anatomic Pathology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA 10 Departments of Pathology and Laboratory Medicine, Neurology, and Pharmacology, Lineberger Comprehensive Cancer Center and Neuroscience Center, University of North Carolina School of Medicine, Chapel Hill, NC, USA 11 Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA 12 Department of Pathology and Athens Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Georgia, Athens, GA, USA 13 Comparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA 14 Department of Surgical and Radiological Sciences, UC Davis School of Veterinary Medicine, Davis, CA, USA 15 Colorado State University, Fort Collins, CO, USA 16 Auburn University College of Veterinary Medicine, Auburn, AL, USA 17 VA-MD College of Veterinary Medicine, Blacksburg, VA, USA ¥Current affiliation: MedVet Medical and Cancer Center for Pets, Columbus, OH, USA  Current affiliation: Department of Pathology, Division of Neuropathology, and O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA

titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI:

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Version 1: Updated 2018/10/24

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