- This line was added.
- This line was removed.
- Formatting was changed.
The Cancer Genome Atlas - Ovarian Cancer (TCGA-OV) 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 are working to archive a large portion of the radiological images of the genetically-analyzed OV 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 TCGA 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 OV 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
The CIP has begun multiple projects to collaborate with the academic community to encourage cross disciplinary research, which utilizes the data provided in these resources. More can be learned about this effort on 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 Ovarian Phenotype Research Group page.
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Chandra Holback, MD and Rose Jarosz.
Washington University School of Medicine, St. Louis, MO - Special thanks to Fred Prior, Ph.D. from the Electronic Radiology Lab, Mallinckrodt Institute and David G Mutch, MD, Ira C, MD & Judith Gall, MD Ob/Gyn.
- MD Anderson Cancer Center, Houston TX - Special thanks to Priya Bhosale, MD and Kimberly Garcia.
- University of North Carolina, Chapel Hill, NC - Special thanks to Yueh Lee, MD, PhD and Shanah Kirk.
Brigham & Women's Hospital, Boston, MA - Special thanks to Cheryl A. Sadow, MD and Seth Levine.
Memorial Sloan-Kettering Cancer Center, New York, NY - Special thanks to Evis Sala, MD, PhD and Pierre Elnajjar.
- University of California, San Francisco, CA - Special thanks to Tara Morgan, MD
- Mayo Clinic, Rochester, MN - Special thanks to Brad Erickson, MD, PhD. Ca