The Biostatistics and Informatics shared resource (BISR), led by Matthew S. Mayo, PhD, MBA, FASA, is a critical and highly utilized shared resource that supports members of The University of Kansas Cancer Center. Mayo established this shared resource in 1998 and in 2002 was awarded a five-year $1.4 million NCI R24 shared resource grant for non-NCI designated centers to enhance the biostatistics and informatics infrastructure for the cancer center. The BISR has 5 aims: 1) Provide Statistical Expertise in Study Design for Cancer Center Projects, 2) Provide Informatics Capabilities to Support Data/Protocol Management, Monitoring and Training Complemented with new Tools for Hypothesis Generation and Cohort Identification, 3) Provide Monitoring Oversight and Perform Appropriate Analyses, 4) Participate in the Preparation of Study Presentations and Publications, and 5) Educate Cancer Center Researchers on Statistical Aspects of Cancer Research, that directly support the aims of cancer center and each program. Funding from the CCSG will enhance the BISR's ability to develop research grants and projects with cancer center members. From 2007 through 2010 the BISR has aided in the development of 129 grant applications of which 24% have been funded. The BISR also maintains an integrated research information system, which provides a centralized location for clinical protocol management within the same system that houses trial-specific data. This comprehensive system provides a web-accessible, single-source for obtaining the most up-to-date protocol information. Study-specific patient calendars can also be developed within this system to enhance protocol adherence. BISR staff also provides the education and training services for data entry personnel on cancer-related trials;hence, this integrated protocol and data management system enhances the quality control of Cancer Center clinical trials. In the coming year, we will augment the institutions clinical data repository, specifically to advance cancer research by allowing investigators to determine trial feasibility, characterize biospecimens and our cancer population by incorporating outcomes information from the tumor registry, and conduct survival analysis by incorporating the social security death index.

Public Health Relevance

Biostatistics and Informatics are critical components to the success of basic, clinical and translational research. As such, the Biostatistics and Informatics Shared Resource works with investigators to ensure appropriate study design, analysis plans, and data management systems and informatics are in place to conduct and disseminate cancer research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA168524-03
Application #
8702115
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
3
Fiscal Year
2014
Total Cost
$147,933
Indirect Cost
Name
University of Kansas
Department
Type
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
Jiang, Yu; Simon, Steve; Mayo, Matthew S et al. (2015) Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors. Stat Med 34:613-29
Zeineldin, Maged; Jensen, Derek; Paranjape, Smita R et al. (2014) Human cancer xenografts in outbred nude mice can be confounded by polymorphisms in a modifier of tumorigenesis. Genetics 197:1365-76
Winham, Stacey J; Armasu, Sebastian M; Cicek, Mine S et al. (2014) Genome-wide investigation of regional blood-based DNA methylation adjusted for complete blood counts implicates BNC2 in ovarian cancer. Genet Epidemiol 38:457-66
Block, Matthew S; Charbonneau, Bridget; Vierkant, Robert A et al. (2014) Variation in NF-?B signaling pathways and survival in invasive epithelial ovarian cancer. Cancer Epidemiol Biomarkers Prev 23:1421-7
Pessetto, Ziyan Y; Ma, Yan; Hirst, Jeff J et al. (2014) Drug repurposing identifies a synergistic combination therapy with imatinib mesylate for gastrointestinal stromal tumor. Mol Cancer Ther 13:2276-87
Purrington, Kristen S; Slager, Susan; Eccles, Diana et al. (2014) Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer. Carcinogenesis 35:1012-9
Bohl, Christopher R; Harihar, Sitaram; Denning, Warren L et al. (2014) Metastasis suppressors in breast cancers: mechanistic insights and clinical potential. J Mol Med (Berl) 92:13-30
Peterson, Kenneth R; Costa, Flávia C; Fedosyuk, Halyna et al. (2014) A cell-based high-throughput screen for novel chemical inducers of fetal hemoglobin for treatment of hemoglobinopathies. PLoS One 9:e107006
Meneely, Kathleen M; Luo, Qianyi; Riley, Andrew P et al. (2014) Expanding the results of a high throughput screen against an isochorismate-pyruvate lyase to enzymes of a similar scaffold or mechanism. Bioorg Med Chem 22:5961-9
Osorio, Ana; Milne, Roger L; Kuchenbaecker, Karoline et al. (2014) DNA glycosylases involved in base excision repair may be associated with cancer risk in BRCA1 and BRCA2 mutation carriers. PLoS Genet 10:e1004256

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