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 #
1P30CA168524-01
Application #
8557665
Study Section
Subcommittee G - Education (NCI)
Project Start
2012-07-11
Project End
2017-06-30
Budget Start
2012-07-11
Budget End
2013-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$136,900
Indirect Cost
Name
University of Kansas
Department
Type
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
Walker, Logan C; Marquart, Louise; Pearson, John F et al. (2017) Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers. Eur J Hum Genet 25:432-438
Lal, Shruti; Cheung, Edwin C; Zarei, Mahsa et al. (2017) CRISPR Knockout of the HuR Gene Causes a Xenograft Lethal Phenotype. Mol Cancer Res 15:696-707
Xiao, Lifu; Tian, Xiumei; Harihar, Sitaram et al. (2017) Gd2O3-doped silica @ Au nanoparticles for in vitro imaging cancer biomarkers using surface-enhanced Raman scattering. Spectrochim Acta A Mol Biomol Spectrosc 181:218-225
Pessetto, Ziyan Y; Chen, Bin; Alturkmani, Hani et al. (2017) In silico and in vitro drug screening identifies new therapeutic approaches for Ewing sarcoma. Oncotarget 8:4079-4095
Wolfe, Andy R; Ernlund, Amanda; McGuinness, William et al. (2017) Suppression of intestinal tumorigenesis in Apc mutant mice upon Musashi-1 deletion. J Cell Sci 130:805-813
Sasaki, Ken; Kurahara, Hiroshi; Young, Eric D et al. (2017) Genome-wide in vivo RNAi screen identifies ITIH5 as a metastasis suppressor in pancreatic cancer. Clin Exp Metastasis 34:229-239
New, Jacob; Arnold, Levi; Ananth, Megha et al. (2017) Secretory Autophagy in Cancer-Associated Fibroblasts Promotes Head and Neck Cancer Progression and Offers a Novel Therapeutic Target. Cancer Res 77:6679-6691
Brinker, Amanda E; Vivian, Carolyn J; Koestler, Devin C et al. (2017) Mitochondrial Haplotype Alters Mammary Cancer Tumorigenicity and Metastasis in an Oncogenic Driver-Dependent Manner. Cancer Res 77:6941-6949
Do, Thuy-Vy; Hirst, Jeff; Hyter, Stephen et al. (2017) Aurora A kinase regulates non-homologous end-joining and poly(ADP-ribose) polymerase function in ovarian carcinoma cells. Oncotarget 8:50376-50392
Spaw, Mark; Anant, Shrikant; Thomas, Sufi Mary (2017) Stromal contributions to the carcinogenic process. Mol Carcinog 56:1199-1213

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