Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD)
View/ Open
Issue Date
2019-11-18Author
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.
Publisher
Sage Publications
Type
Article
Article Version
Scholarly/refereed, publisher version
Rights
© The Author(s) 2019. This work is licensed under a Creative Commons Attribution 4.0 International License.
Metadata
Show full item recordAbstract
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.
Description
A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
Collections
Citation
Mudaranthakam DP, Shergina E, Park M, et al. Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD). Cancer Informatics. January 2019. doi:10.1177/1176935119886831
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.