{"id":5711,"date":"2023-09-04T03:20:16","date_gmt":"2023-09-04T03:20:16","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/tcga-ov\/"},"modified":"2023-09-13T12:04:19","modified_gmt":"2023-09-13T12:04:19","slug":"tcga-ov","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/tcga-ov\/","title":{"rendered":"TCGA-OV"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Ovarian Serous Cystadenocarcinoma"],"citations":[4679,2925,4680],"collection_doi":"10.7937\/K9\/TCIA.2016.NDO1MDFQ","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5299],"full_export":"

Summary<\/h2>The Cancer Genome Atlas Ovarian Cancer (TCGA-OV)<\/span> data collection is part of a larger effort to\u00a0build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from\u00a0The Cancer Genome Atlas (TCGA)<\/a>. Clinical, genetic, and pathological data resides in the\u00a0Genomic Data Commons (GDC) Data Portal<\/a> while the radiological data is stored on The Cancer Imaging Archive (TCIA).\u00a0

Matched TCGA patient identifiers allow researchers to explore the TCGA\/TCIA databases for correlations between tissue genotype, radiological phenotype 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.\u00a0<\/p>

CIP TCGA Radiology Initiative<\/h3>

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\u00a0per\u00a0the 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\u00a0TCGA Ovarian Phenotype Research Group<\/a>.<\/p>

Acknowledgements<\/h3>

We would like to acknowledge the individuals and institutions that have provided data for this collection:<\/p>