Cancer Center Information Systems is a Shared Resource providing Integrated Information systems In support of clinical and basic sdence biomedical research. The resource provides infrastructure, personnel, technical support, assistance and consultation In four areas - networks, databases, servers and web applications. The goal ofthe resource Is to provide comprehensive computational support to enable researchers to use technology In the most efficient manner possible to accomplish their research goals. Cancer Center Information Systems is direded by Robert P. Annechiarico, under the administrative supervision of Dr. Stephen L. George, Director of Blostatisfics. In addifion to Mr. Anriechiarico, CCIS has 19 full time staff positions. The resource provides database and applications development, web site support, server support and desktop support for 54 servers (virtual and stand-alone, more than doubling since the last renewal) and for over 1000 users. In addition to network server support, CCIS supports large scale servers and software, as well as high performance computational platforms, forthe Biostatistics Shared Resource and the Bioinformatics Shared Resource. This group supports the Informatics needs of a variety of research areas and programs. Support for the SPORES in Brain and Breast Cancer, the Cancer Genetics Network and the Protocol Office represent some ofthe larger efforts. CCIS is working closely with the Duke Health Technology Solufions, the Duke Translational Medicine Institute, and the Institute for Genome Sciences and Policy to integrate clinical data with research data. Support for the resource is provided through a combination of grant support, chargeback and institutional funding. At the national level, CCIS has been a leader in the development of software tools and standards within the caBIG program, contributing to several cornerstone applications and projects.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee G - Education (NCI)
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Duke University
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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
Feng, Yun; Wang, Yanru; Liu, Hongliang et al. (2018) Novel genetic variants in the P38MAPK pathway gene ZAK and susceptibility to lung cancer. Mol Carcinog 57:216-224
Naqvi, Ibtehaj; Gunaratne, Ruwan; McDade, Jessica E et al. (2018) Polymer-Mediated Inhibition of Pro-invasive Nucleic Acid DAMPs and Microvesicles Limits Pancreatic Cancer Metastasis. Mol Ther 26:1020-1031
Wen, Juyi; Liu, Hongliang; Wang, Lili et al. (2018) Potentially Functional Variants of ATG16L2 Predict Radiation Pneumonitis and Outcomes in Patients with Non-Small Cell Lung Cancer after Definitive Radiotherapy. J Thorac Oncol 13:660-675
Li, Bo; Wang, Yanru; Xu, Yinghui et al. (2018) Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival. Int J Cancer 142:2303-2312
Gearhart-Serna, Larisa M; Jayasundara, Nishad; Tacam Jr, Moises et al. (2018) Assessing Cancer Risk Associated with Aquatic Polycyclic Aromatic Hydrocarbon Pollution Reveals Dietary Routes of Exposure and Vulnerable Populations. J Environ Public Health 2018:5610462
Bakthavatsalam, Subha; Sleeper, Mark L; Dharani, Azim et al. (2018) Leveraging ?-Glutamyl Transferase To Direct Cytotoxicity of Copper Dithiocarbamates against Prostate Cancer Cells. Angew Chem Int Ed Engl 57:12780-12784
Dai, Ziwei; Mentch, Samantha J; Gao, Xia et al. (2018) Methionine metabolism influences genomic architecture and gene expression through H3K4me3 peak width. Nat Commun 9:1955

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