The Markey Cancer Center (MCC) Cancer Research Informatics (CRI) Shared Resource Facility facilitates collaborative research among members of the MCC through the optimal application of informatics technologies and methods that maximize the accessibility and usability of data, information, and knowledge for cancer research. The primary goal of CRI is to provide comprehensive and centralized data acquisition and informatics support that is readily available to cancer center members.
The Specific Aims of the CRI are to: 1. Develop and support innovative technologies for funded research studies that facilitate accurate, timely, and secure data acquisition and dissemination. 2. Maintain and support a comprehensive patient-centered data warehouse offering unique opportunities for MCC investigators to utilize integrated data sets from diverse sources ranging from genetic biomarkers to population-based surveillance data. 3. Facilitate rapid and efficient recruitment of patients to investigator-initiated trials and other research studies. 4. Facilitate investigator access to data, biospecimens, and patients from Kentucky's Appalachian population. 5. Ensure the interoperability of informatics systems in compliance with evolving data standards. 6. Collaborate with the University of Kentucky (UK) Division of Biomedical Informatics to provide novel and state-of-the-art informatics solutions that increase the efficiency and accuracy of information and knowledge derived from diverse data sources.

Public Health Relevance

The CRI is a critical resource supporting the acquisition, storage, management and utilization of data, information, and knowledge. The CRI integrates data from population, clinical, and research sources to identify and recruit study participants, annotate biospecimens, and derive unique research datasets for MCC investigators. This shared resource provides value-added service to MCC members, which has led to numerous publications and research grants from the NCI and other funding agencies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA177558-02
Application #
8740640
Study Section
Subcommittee B - Comprehensiveness (NCI)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Kentucky
Department
Type
DUNS #
City
Lexington
State
KY
Country
United States
Zip Code
40506
Li, Jing; Song, Jun; Li, Xian et al. (2018) FFAR4 Is Involved in Regulation of Neurotensin Release From Neuroendocrine Cells and Male C57BL/6 Mice. Endocrinology 159:2939-2952
Rodriguez, Sharon D; Vanderford, Nathan L; Huang, Bin et al. (2018) A Social-Ecological Review of Cancer Disparities in Kentucky. South Med J 111:213-219
Chauhan, Aman; Yu, Qian; Ray, Neha et al. (2018) Global burden of neuroendocrine tumors and changing incidence in Kentucky. Oncotarget 9:19245-19254
Huang, Bin; Pollock, Elizabeth; Zhu, Li et al. (2018) Ranking composite Cancer Burden Indices for geographic regions: point and interval estimates. Cancer Causes Control 29:279-287
Rea, Matthew; Gripshover, Tyler; Fondufe-Mittendorf, Yvonne (2018) Selective inhibition of CTCF binding by iAs directs TET-mediated reprogramming of 5-hydroxymethylation patterns in iAs-transformed cells. Toxicol Appl Pharmacol 338:124-133
Yarana, Chontida; Carroll, Dustin; Chen, Jing et al. (2018) Extracellular Vesicles Released by Cardiomyocytes in a Doxorubicin-Induced Cardiac Injury Mouse Model Contain Protein Biomarkers of Early Cardiac Injury. Clin Cancer Res 24:1644-1653
Banerjee, Moumita; Cui, Xiaoyu; Li, Zhichuan et al. (2018) Na/K-ATPase Y260 Phosphorylation-mediated Src Regulation in Control of Aerobic Glycolysis and Tumor Growth. Sci Rep 8:12322
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
McKenna, Mary K; Noothi, Sunil K; Alhakeem, Sara S et al. (2018) Novel role of prostate apoptosis response-4 tumor suppressor in B-cell chronic lymphocytic leukemia. Blood 131:2943-2954
Jones, Derek; Bopaiah, Jeevith; Alghamedy, Fatemah et al. (2018) Polypharmacology Within the Full Kinome: a Machine Learning Approach. AMIA Jt Summits Transl Sci Proc 2017:98-107

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