The UNC GI Cancer SPORE Biostatistics and Bioinformatics Core was developed from the newest core resources at the UNC Lineberger Comprehensive Cancer Center. Substantial expansion in faculty recruitment, with an emphasis on genetic analysis, and an investment in hardware and associated databases has prepared the Center to launch an integrated yet expanded core resource to support the GI SPORE projects. Senior faculty recruits Joe Ibrahim and Fred Wright will provide new intellectual leadership for this core. Both have substantial experience in biostatistics, new areas of statistical genetics, integration with clinical research, and Cancer Center programs for translational research. In addition to expanded leadership, involvement from the Departments of Statistics and Biostatistics have expanded the Cancer Center's and thus the UNC GI Cancer SPORE's capabilities in this area. A substantial investment in databases to store gene expression microarray data from multiple platforms and to import data from other institutions is already leading to productive translational research at the Cancer Center. Continued development of parallel clinical and epidemiologic databases for clinical trials and population-based data will be linked to our microarray databases via an honest broker model that will be overseen by the GI SPORE and the UNC Lineberger Biostatistic cores. The five projects in the GI SPORE present interesting challenges, both as translational research and as biostatistical/bioinformatics problems. Complementary skills possessed by the Core faculty will lead to new approaches to gene expression data as well as cross-platform analysis. Input from the Core Directors and other members of this core is described within both the project write-ups and in this section. Top-notch senior and promising junior faculty, an emphasis on translational and genetic research at the Cancer Center, and continuing investment in data management will provide an excellent resource for the UNC GI Cancer SPORE's projects with large data sets. The Core will provide appropriate input into design, management, and analysis as the most promising lines of translational research are pursued.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA106991-01
Application #
6791857
Study Section
Special Emphasis Panel (ZCA1-GRB-V (J1))
Project Start
2004-04-01
Project End
2009-03-31
Budget Start
2004-04-01
Budget End
2005-07-31
Support Year
1
Fiscal Year
2004
Total Cost
$167,921
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Asher, Gary N; Xie, Ying; Moaddel, Ruin et al. (2017) Randomized Pharmacokinetic Crossover Study Comparing 2 Curcumin Preparations in Plasma and Rectal Tissue of Healthy Human Volunteers. J Clin Pharmacol 57:185-193
Gao, Xingming; Zhu, Mengyuan; Fan, Haiying et al. (2015) A fluorescent bisboronic acid compound that selectively labels cells expressing oligosaccharide Lewis X. Bioorg Med Chem Lett 25:2501-4
Keku, Temitope O; Dulal, Santosh; Deveaux, April et al. (2015) The gastrointestinal microbiota and colorectal cancer. Am J Physiol Gastrointest Liver Physiol 308:G351-63
Lin, Ja-An; Zhu, Hongtu; Mihye, Ahn et al. (2014) Functional-mixed effects models for candidate genetic mapping in imaging genetic studies. Genet Epidemiol 38:680-91
Nugent, Julia L; McCoy, Amber N; Addamo, Cassandra J et al. (2014) Altered tissue metabolites correlate with microbial dysbiosis in colorectal adenomas. J Proteome Res 13:1921-9
Zhu, Hongtu; Ibrahim, Joseph G; Tang, Niansheng (2014) Bayesian Sensitivity Analysis of Statistical Models with Missing Data. Stat Sin 24:871-896
Nikolaishvilli-Feinberg, Nana; Cohen, Stephanie M; Midkiff, Bentley et al. (2014) Development of DNA damage response signaling biomarkers using automated, quantitative image analysis. J Histochem Cytochem 62:185-96
Wang, Hansong; Burnett, Terrilea; Kono, Suminori et al. (2014) Trans-ethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A. Nat Commun 5:4613
McCoy, Amber N; Araújo-Pérez, Félix; Azcárate-Peril, Andrea et al. (2013) Fusobacterium is associated with colorectal adenomas. PLoS One 8:e53653
Kang, Melissa; Edmundson, Patrick; Araujo-Perez, Felix et al. (2013) Association of plasma endotoxin, inflammatory cytokines and risk of colorectal adenomas. BMC Cancer 13:91

Showing the most recent 10 out of 84 publications