Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD). (November 2019)
- Record Type:
- Journal Article
- Title:
- Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD). (November 2019)
- Main Title:
- Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD)
- Authors:
- Mudaranthakam, Dinesh Pal
Shergina, Elena
Park, Michele
Thompson, Jeffrey
Streeter, David
Hu, Jinxiang
Wick, Jo
Gajewski, Byron
Koestler, Devin C
Godwin, Andrew K
Jensen, Roy A
Mayo, Matthew S - Abstract:
- To fully support their role in translational and personalized medicine, biorepositories and biobanks must continue to advance the annotation of their biospecimens with robust clinical and laboratory data. Translational research and personalized medicine require well-documented and up-to-date information, but the infrastructure used to support biorepositories and biobanks can easily be out of sync with the host institution. To assist researchers and provide them with accurate pathological, epidemiological, and bio-molecular data, the Biospecimen Repository Core Facility (BRCF) at the University of Kansas Medical Center (KUMC) merges data from medical records, the tumor registry, and pathology reports using the Curated Cancer Clinical Outcomes Database (C3OD). In this report, we describe the utilization of C3OD to optimally retrieve and dispense biospecimen samples using these 3 data sources and demonstrate how C3OD greatly increases the efficiency of obtaining biospecimen samples for the researchers.
- Is Part Of:
- Cancer informatics. Volume 18(2019)
- Journal:
- Cancer informatics
- Issue:
- Volume 18(2019)
- Issue Display:
- Volume 18, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 18
- Issue:
- 2019
- Issue Sort Value:
- 2019-0018-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-11
- Subjects:
- Informatics -- data warehouse -- biospecimen -- clinical annotation
Bioinformatics -- Periodicals
Biology -- Data processing -- Periodicals
Cancer -- Periodicals
Cancer -- Research -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://insights.sagepub.com/journal.php?journal_id=10&tab=volume ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1176935119886831 ↗
- Languages:
- English
- ISSNs:
- 1176-9351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12119.xml