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This data collection consists of images and associated data acquired from the APOLLO Network.

The Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) network is a collaboration between NCI, the Department of Defense (DoD), and the Department of Veterans Affairs (VA) to incorporate proteogenomics into patient care as a way of looking beyond the genome, to the activity and expression of the proteins that the genome encodes. The emerging field of proteogenomics aims to better predict how patients will respond to therapy by screening their tumors for both genetic abnormalities and protein information, an approach that has been made possible in recent years due to advances in proteomic technology.

For questions and information regarding this dataset, please contact TCIA Helpdesk at 


Data Access

Data TypeDownload all or Query/Filter
Images (DICOM, 2.6 GB)


Clinical Data 
Genomic data(link to GDC)
Variant Cancer Files (*.vcf) 

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics



PET, CT, MRI, MRA + others

Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size (GB) 2.6

Citations & Data Usage Policy 

This data set may be subject to usage restrictions set out by the APOLLO network. In addtion, TCIA usage and citation guidelines must be followed. See TCIA's Data Usage Policies and Restrictions for details. Questions may be directed to

Please be sure to include the following citations in your work if you use this data set:

Data Citation

coming soon

TCIA 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. (paper)

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.


Version 1 (Current): Updated 2015/09/14

Data TypeDownload all or Query/Filter
Images (DICOM, 2.6 GB)


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