The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) data collection is part of a larger effort to enhance the 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) data set with characterized radiological images. The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions are working to archive a large portion of the radiological images of the genetically-analyzed breast cancer cases. 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).
Matched TCGA patient identifiers in both repositories, allowing allow researchers to explore the TCGA/TCIA databases for correlations between tissue genotype and , radiological phenotype . This Collection within TCIA is related to the BRCA disease type within TCGA.and 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 TCGA Breast Phenotype Research Group.
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- Mayo Clinic, Rochester, MN - Special thanks to to Wilma Lingle, MD and Bradley J. Erickson, MD, PhD from Ph.D. from the Department of Radiology, Mayo Medical School.
- University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Margarita L Zuley, MD and Rose Jarosz.
Roswell ParkCancer Institute
, Buffalo, NY - Special thanksto
to Ermelinda Bonaccio, MDand
Filippini from the Department of Diagnostic Radiology.
University of Miami, Miller School of Medicine, Miami, FL - Special thanks to Jose M. Net, MD and Len Levi.
Memorial Sloan-Kettering Cancer Center/MSKCC, New York, NY - Special thanksto
to Elizabeth A Morris MD, Gloria Guman Figler, and Pierre Elnajjar.
- University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Margarita L Zuley MD, and Rose Jarosz.
Note: Per TCGA Guidelines, formal permission requests are still required for publications using TCGA-BRCA data. More info about TCGA Publication Policies can be found on the Data Usage Policies and Restrictions page.
CIP TCGA Radiology Initiative
The Cancer Imaging Program has begun multiple projects to collaborate with 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-BRCA 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-BRCA collection. A full listing of the available imaging studies/series for each patient can be found in this spreadsheet:TCGA-BRCA_series_descriptions.csv
- 2013-Nov-14 Update: changed table to match current image library counts
- North Carolina, Chapel Hill, NC - Special thanks to J. Keith Smith, MD, Ph.D. and Shanah Kirk from the Department of Radiology.
- University of Chicago, Chicago, IL – Special thanks to Maryellen Giger, MD, and Nick Gruszauskas, PhD, from the Department of Radiology.
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.
Verbose explanations of the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below: