The TCGA-KIRC data collection is part of a larger effort to enhance the The Cancer Genome Atlas (TCGA) data set with characterized radiological images. The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions has archived a large portion of the radiological images of the genetically-analyzed Kidney renal clear cell carcinoma (KIRC) cases.
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- Memorial Sloan-Kettering Cancer Center, New York, NY - Special thanks to Oguz Akin, MD and Pierre Elnajjar.
- University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Matthew Heller, MD and Rose Jarosz.
- Mayo Clinic, Rochester, MN - Special thanks to Bradley J. Erickson, MD, PhD from the Department of Radiology, Mayo Medical School.
- University of North Carolina, Chapel Hill, NC - Special thanks to J. Keith Smith, M.D.,Ph.D and Shanah Kirk.
CIP TCGA Radiology Initiative
The Cancer Imaging Program is supporting multiple projects within the academic community to encourage cross disciplinary research which utilizes the data provided in these resources. Much more can be learned about this effort on the TCGA Renal Phenotype Research Group page.
You can view and download these images on The Cancer Imaging Archive by logging in to TCIA and selecting the TCGA-KIRC collection. A full listing of the available imaging studies/series for each patient can be found in this spreadsheet:TCGA-KIRC_series_descriptions.csv
Number of Patients
Number of Studies
Number of Series
Number of Images
If you are unsure how to download this Collection please view our quick guide on Searching by Collection or refer to our The Cancer Imaging Archive User's Guide for more detailed instructions on using the site.
The TCGA data portal has extensive clinical and genomic data which can be matched to the patient identifiers of the images here in TCIA. Here are just a sample of some of the clinical data types available:
Verbose explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below: