Nature of the study
This is a Comparative Oncology Program (COP) comprehensive characterization of spontaneous treatment-naïve canine glioma in pet dogs, which encompasses MRI, histopathology, immunohistochemistry (IHC), and molecular phenotyping (WGS, WES, RNAseq, methylation profiling). It was conducted with both intramural NCI (LeBlanc/CCR) and extramural NCI (DCTD/P30 supplements to designated cancer center grants) funding over the course of the last 3 years. The intent was to determine the translatability of canine gliomas to their human counterparts e.g. which subtypes exist, how can they be defined/characterized, and to what human subtypes do they relate to based on the histopathologic, clinical, and molecular features.
Sample types
n = 85 dog tumors
Scanned H&E images at 40 x magnification (all) – I have these on a hard drive
Scanned IHC images (a subset have an IHC panel of 5 markers – I’m still working on that part; I have the images on a hard drive)
Baseline MRIs (most all of the 85 dogs had MRI imaging – I’m going school by school to verify that as part of the imaging WG; we will curate according to Paula’s recommendations)
Cases:
Univ of CA-Davis team has 22 MRIs
475753 |
467941 |
355157 |
401059 |
458025 |
406835 |
404856 |
364473 |
410748 |
483125 |
457044 |
468712 |
443214 |
395015 |
475873 |
429924 |
433095 |
402938 |
266885 |
448820 |
360265 |
475461 |
Clinical data, including but not limited to age, breed, sex, diagnosis of glioma subtype, treatment data (eg. Surgery, radiation, chemotherapy, clinical trial, none/euthanasia) – I have an Excel spreadsheet with this data
Molecular data as listed above (Roel’s group will provide)
Stakeholders
Vets
Universities
COP
The pathology data was generated by my colleagues and I (CBTC glioma board final manuscript.pdf). Roel Verhaak worked with the P30 awardees to generate the molecular data. The MRIs are property of the vet schools who submitted the case material for the pathology and molecular profiling initiatives. Assuming all of them will be ok with submitting to ICDC for the set to be complete across all datatypes.
Univ of CA-Davis team:
Peter J Dickinson <pjdickinson@ucdavis.edu>
Michael S Kent <mskent@ucdavis.edu>
