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Summary
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The Cancer Genome Atlas - Colon Adenocarcinoma (TCGA-COAD) data collection is part of a larger effort to enhance the 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 COAD cases.to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA). Clinical, genetic, and pathological data resides in the |
Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive (TCIA). |
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Matched TCGA patient identifiers
in both repositories, allowingallow researchers to explore the TCGA/TCIA databases for correlations between tissue genotype
and, radiological phenotype
. This collection within TCIA is related to the COAD disease type within TCGA.CIP TCGA Radiology Initiative
The CIP is supporting multiple projects within the academic community to encourage cross disciplinary research, which utilizes the data provided in these resourcesand patient outcomes. Tissues for TCGA were collected from many sites all over the world in order to reach their accrual targets, usually around 500 specimens per cancer type. For this reason the image data sets are also extremely heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. In most cases the images were acquired as part of routine care and not as part of a controlled research study or clinical trial.
CIP TCGA Radiology Initiative
Imaging Source Site (ISS) Groups are being populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, ISS groups are given the opportunity to publish a marker paper for a given cancer type per the guidelines in the table above. This opportunity will generate increased participation in building these multi-institutional data sets as they become an open community resource. Learn more about the CIP TCGA Radiology Initiative
. However, a TCGA-COAD Phenotype Research Group has not yet formed.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- University of North Carolina, Chapel Hill, NC- Special thanks to J. Keith Smith, MD, Ph.D. and Shanah Kirk from the Department of Radiology.
Brigham & Women's Hospital Boston, MA - Special thanks to Cheryl A. Sadow, MD and Seth Levine.
Roswell Park Cancer Institute, Buffalo NY - Special thanks to Charles Roche, MD; Ermalinda Bonaccio, MD; and Joe Filippini.
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You can view and download these images on TCIA by clicking Image Removed and selecting the TCGA-COAD collection.
Collection Statistics | (updated 2014/10/14) |
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Modalities | computed tomography (CT) |
Number of Patients | 25 |
Number of Studies | 32 |
Number of Series | 93 |
Number of Images | 8,387 |
Images Size (GB) | 4.5 |
If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.
Related Data
The TCGA data portal has extensive clinical and genomic data, which can be matched to the patient identifiers on the images here in TCIA. Below is a snapshot of clinical data extracted on 10/28/2014.
Explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below:
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