? INFORMATION SYSTEMS SHARED RESOURCE The Duke Cancer Institute Information Systems (DCI-IS) shared resource provides critical information systems and expertise to support DCI members with the clinical, translational, and basic biomedical research. The goal of the resource is to deliver comprehensive computational support that provides DCI investigators the breadth of technology to accomplish their research goals. DCI-IS is available to DCI members and their laboratories and personnel at no charge. Support for DCI-IS comes from a combination of Cancer Center Support Grant, DCI and institutional funding. In addition to infrastructure, DCI-IS provides DCI members technical support, application and hardware assistance, and consultation for database development, application development, and web development. The resource provides call-in support, assistance, and consultation for electronic data capture (EDC), database development, application development, website development and server provisioning. In addition to application and data server support, DCI-IS provides support for large scale servers and software for the DCI's Biostatistics and Bioinformatics shared resource. DCI-IS leverages the Duke IT and Informatics resources, including Duke Health Technology Solutions (DHTS), Duke Office of Instructional Technology (OIT), Duke Office of Clinical Research (DOCR), and other institutional groups to leverage enterprise-level IT expertise, experience, and resources to efficiently meet the needs of DCI members. Several primary benefits of DCI-IS for DCI members are: 1) an agile, experienced team, highly skilled in cancer research- related IT; 2) specialized support; 3) 21CFR Part 11-compliant electronic data capture (EDC) system development; 4) user training and ongoing support; 5) expeditious responses to complex and intricate requests; 6) provisioning of infrastructure; and 7) hardware and software to meet the computing needs of both DCI members and other DCI-based shared resources. In 2018, DCI-IS provided services to 164 investigators, 100% of whom were DCI members, accounting for 100% of usage, from all 8 DCI Research Programs. Use of DCI-IS by DCI members contributed to 138 publications over the current project period, 23 of which were in high impact journals (Impact Factor>9), demonstrating the value of DCI-IS services.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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Duke University
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Xu, Yinghui; Wang, Yanru; Liu, Hongliang et al. (2018) Genetic variants in the metzincin metallopeptidase family genes predict melanoma survival. Mol Carcinog 57:22-31
Abdi, Khadar; Kuo, Chay T (2018) Laminating the mammalian cortex during development: cell polarity protein function and Hippo signaling. Genes Dev 32:740-741
Lu, Min; Sanderson, Sydney M; Zessin, Amelia et al. (2018) Exercise inhibits tumor growth and central carbon metabolism in patient-derived xenograft models of colorectal cancer. Cancer Metab 6:14
Qian, Danwen; Liu, Hongliang; Wang, Xiaomeng et al. (2018) Potentially functional genetic variants in the complement-related immunity gene-set are associated with non-small cell lung cancer survival. Int J Cancer :
Ashcraft, Kathleen A; Choudhury, Kingshuk Roy; Birer, Sam R et al. (2018) Application of a Novel Murine Ear Vein Model to Evaluate the Effects of a Vascular Radioprotectant on Radiation-Induced Vascular Permeability and Leukocyte Adhesion. Radiat Res 190:12-21
Ong, Cecilia T; Campbell, Brittany M; Thomas, Samantha M et al. (2018) Metaplastic Breast Cancer Treatment and Outcomes in 2500 Patients: A Retrospective Analysis of a National Oncology Database. Ann Surg Oncol 25:2249-2260
Duan, Bensong; Hu, Jiangfeng; Liu, Hongliang et al. (2018) Genetic variants in the platelet-derived growth factor subunit B gene associated with pancreatic cancer risk. Int J Cancer 142:1322-1331
Wu, Mengxi; Huang, Po-Hsun; Zhang, Rui et al. (2018) Circulating Tumor Cell Phenotyping via High-Throughput Acoustic Separation. Small 14:e1801131
Vlahovic, Gordana; Meadows, Kellen L; Hatch, Ace J et al. (2018) A Phase I Trial of the IGF-1R Antibody Ganitumab (AMG 479) in Combination with Everolimus (RAD001) and Panitumumab in Patients with Advanced Cancer. Oncologist 23:782-790
Xu, Yinghui; Liu, Hongliang; Liu, Shun et al. (2018) Genetic variant of IRAK2 in the toll-like receptor signaling pathway and survival of non-small cell lung cancer. Int J Cancer 143:2400-2408

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