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An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.
Liu, Jianfang; Lichtenberg, Tara; Hoadley, Katherine A; Poisson, Laila M; Lazar, Alexander J; Cherniack, Andrew D; Kovatich, Albert J; Benz, Christopher C; Levine, Douglas A; Lee, Adrian V; Omberg, Larsson; Wolf, Denise M; Shriver, Craig D; Thorsson, Vesteinn; Hu, Hai.
Afiliación
  • Liu J; Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA.
  • Lichtenberg T; Nationwide Children's Hospital, Columbus, OH 43205, USA.
  • Hoadley KA; Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Poisson LM; Henry Ford Cancer Institute and Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA.
  • Lazar AJ; Departments of Pathology, Genomic Medicine, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Cherniack AD; The Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Kovatich AJ; Clinical Breast Care Project, Murtha Cancer Center, Uniformed Services University/Walter Reed National Military Medical Center, Bethesda, MD 20889, USA.
  • Benz CC; Buck Institute for Research on Aging, Novato, CA 94945, USA.
  • Levine DA; Division of Gynecologic Oncology, Department of OB/GYN, NYU Langone Medical Center, New York, NY 10016, USA.
  • Lee AV; Department of Pharmacology and Chemical Biology and Human Genetics, University of Pittsburgh, Women's Cancer Research Center, UPMC Hillman Cancer Center and Magee-Womens Research Institute, Pittsburgh, PA 15213, USA.
  • Omberg L; Sage Bionetworks, Seattle, WA 98109, USA.
  • Wolf DM; Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Shriver CD; Murtha Cancer Center, Uniformed Services University/Walter Reed National Military Medical Center, Bethesda, MD 20889, USA.
  • Thorsson V; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Hu H; Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA. Electronic address: h.hu@wriwindber.org.
Cell ; 173(2): 400-416.e11, 2018 04 05.
Article en En | MEDLINE | ID: mdl-29625055
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos