The primary goal of the Biostatistics Shared Resource is to provide biostatistical and biomathematical support and collaboration for laboratory, translational, clinical, population, and epidemiological cancer studies underway at Huntsman Cancer Institute (HCI). The Biostatistics Resource enhances the scientific quality and sophistication of cancer research projects by providing tailored, professional consultation at all levels and stages of research. The Resource assists investigators with study design, sample size/power calculations, data analyses, grant applications, and manuscripts. Emphasis is placed on early consultation to allow adequate consideration and adaptation of study designs to meet the main objectives of the research. The Resource also provides educational outreach to Cancer Center members as needed, allowing investigators to better address their specific research problems. The Biostatistics Shared Resource, by virtue of its activities with a broad range of cancer investigators, is central to the Cancer Center's priorities. It is also a focal point of transdisciplinary cancer research, as it facilitates the collaborative work of basic, population, and clinical researchers from many departments. The primary research component of the Biostatistics Resource focuses on carcinogenesis modeling, on methodologies for high throughput genomics applicable to cancer pathways (such as microarray, ChlP-Seq, and Digital Gene Expression), and on methodologies for analysis of familial aspects of cancer. Use of this Shared Resource by the Cancer Center has increased substantially during the most recent cycle, and biostaticians have been involved in numerous important scientific discoveries. Kenneth Boucher, PhD, is the Resource Director and reports to HCI Senior Directors. Since the recent receipt of the University of Utah Clinical and Translational Science Award, Biostatistics is also now affiliated with the biostatistical component of that program. The Resource retains direct Cancer Center management, while the affiliation allows increased depth of expertise combined with increased interaction of institutional biostaticians and related academic activities. The Resource also has an established advisory committee, which regularly reviews structure, quality of service and research, as well as goals and needs. The Resource is housed in the HCI research building. In 2008, usage of the Shared Resource by the Cancer Center was 79 percent. Funds are requested from the CCSG to cover 15 percent ($74,806) of the proposed Biostatistics budget. The Resource is currently near capacity, although the 21 percent of non-Center use could be reprioritized to Cancer Center members should the need arise. Additionally, new recruitment efforts should soon add capacity to this Resource.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA042014-25
Application #
8661138
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
25
Fiscal Year
2014
Total Cost
$58,683
Indirect Cost
$19,955
Name
University of Utah
Department
Type
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Pishas, Kathleen I; Drenberg, Christina D; Taslim, Cenny et al. (2018) Therapeutic Targeting of KDM1A/LSD1 in Ewing Sarcoma with SP-2509 Engages the Endoplasmic Reticulum Stress Response. Mol Cancer Ther 17:1902-1916
Blackburn, Brenna E; Ganz, Patricia A; Rowe, Kerry et al. (2018) Reproductive and gynecological complication risks among thyroid cancer survivors. J Cancer Surviv 12:702-711
Wu, Yelena P; Aspinwall, Lisa G; Nagelhout, Elizabeth et al. (2018) Development of an Educational Program Integrating Concepts of Genetic Risk and Preventive Strategies for Children with a Family History of Melanoma. J Cancer Educ 33:774-781
Kim, Hyung-Seok; McKnite, Autumn; Xie, Yuanyuan et al. (2018) Fibronectin type III and intracellular domains of Toll-like receptor 4 interactor with leucine-rich repeats (Tril) are required for developmental signaling. Mol Biol Cell 29:523-531
Spiker, William Ryan; Brodke, Darrel S; Goz, Vadim et al. (2018) Evidence of an Inherited Predisposition for Spinal Cord Tumors. Global Spine J 8:340-344
Ye, Zhizhou; Ayer, Donald E (2018) Ras Suppresses TXNIP Expression by Restricting Ribosome Translocation. Mol Cell Biol :
Fuller, Andrew K; Bice, Benjamin D; Venancio, Ashlee R et al. (2018) A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model. J Vis Exp :
Wang, Sophia S; Carrington, Mary; Berndt, Sonja I et al. (2018) HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes. Cancer Res 78:4086-4096
Faham, Najme; Zhao, Ling; Welm, Alana L (2018) mTORC1 is a key mediator of RON-dependent breast cancer metastasis with therapeutic potential. NPJ Breast Cancer 4:36
Rengifo-Cam, William; Shepherd, Hailey M; Jasperson, Kory W et al. (2018) Colon Pathology Characteristics in Li-Fraumeni Syndrome. Clin Gastroenterol Hepatol 16:140-141

Showing the most recent 10 out of 1193 publications