This dataset includes baseline pathologic, MRI and genomic features of treatment-naive naturally-occurring canine glioma. Multi-omic data for all 81 subjects can be found in the Integrated Canine Data Commons. Radiology imaging are available for 57 of these subjects, and pathology imaging for 76 subjects. 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.
About the Integrated Canine Data Commons
NCI's Division of Cancer Treatment and Diagnosis (DCTD) charged the Frederick National Laboratory for Cancer Research (FNLCR) to build the Integrated Canine Data Commons (ICDC), a cloud-based repository of spontaneously-arising canine cancer data. ICDC was established to further research on human cancers by enabling comparative analysis with canine cancer. The data in the ICDC is sourced from multiple different programs and projects; all focused on canine subjects. The data is harmonized into an integrated data model and then made available to the research community. The ICDC is part of the Cancer Research Data Commons (CRDC), an initiative from NCI’s Center for Biomedical Informatics and Information Technology (CBIIT). Bioinformatic analysis of the ICDC data is accomplished using the CRDC’s Cloud Resources.
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.
|Data Type||Download all or Query/Filter||License|
|Images (DICOM, 5.1 GB)|
(Download requires the NBIA Data Retriever)
|Histopathology Images (SVS, 172 GB)|
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package)
Click the Versions tab for more info about data releases.
Additional Resources for this DatasetThe NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
Radiology Image Statistics
|Pathology Image Statistics|
Number of Participants
Number of Studies
Number of Series
Number of Images
|Images Size (GB)||5.1 GB||172|
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Amin SB, Anderson KJ, Boudreau CE, Martinez-Ledesma E, Kocakavuk E, Johnson KC, Barthel FP, Varn FS, Kassab C, Ling X, Kim H, Barter M, Lau CC, Yee Ngan C, Chapman M, Koehler JW, Miller AD, Long JP, Miller CR, Porter BF, Rissi DR, Mazcko C, LeBlanc AK, Dickinson PJ, Packer RA, Taylor AR, Rossmeisl Jr. JH, Woolard KD, Heimberger AB, Levine JM, Verhaak RGW. Canine glioma characterization project for ICDC [Dataset]. The Cancer Imaging Archive; 2020. Available from: https://doi.org/10.7937/TCIA.SVQT-Q016
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: https://doi.org/10.1007/s10278-013-9622-7
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