CORE C: The staff of the Biostatistics Core will be responsible for providing biostatistical support to theresearch of this program. The Biostatistical Core is under the supervision of Dr. Timothy D. Johnson of theBiostatistics Department in the University of Michigan School of Public Health. The core provides assistancein the design, analysis and interpretation of preclinical and animal experiments of the program. Corepersonnel will interact with project investigators to ensure that appropriate designs and methods of analysisare used. Design issues involve selection of dose, randomization, timing of measurements and sample sizeconsiderations. For data analyses, the core will ensure that efficient methods are used. Standard graphical,group comparison and correlation methods of analysis will be used for initial investigation of the experimentaldata. Mixed model methods will be used for efficient use of the data in experiments involving repeatedmeasures. Dr. Johnson is experienced in the design and analysis of both animal and clinical data. This willensure that all data obtained from all Projects will be collected efficiently and analyzed appropriately.Public Health: Overall, this research effort will develop drug paradigms and treatment combinations fortarget stem cell populations in animal models. These pre-clinical experiments have the potential fortranslation to clinical trials.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA093990-07A1
Application #
7490313
Study Section
Special Emphasis Panel (ZCA1-SRRB-9 (J1))
Project Start
2008-04-01
Project End
2013-03-31
Budget Start
2008-09-22
Budget End
2009-08-31
Support Year
7
Fiscal Year
2008
Total Cost
$42,299
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Keith, Lauren; Ross, Brian D; Galbán, Craig J et al. (2016) Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping. Tomography 2:267-275
Nyati, Shyam; Chator, Areeb; Schinske, Katerina et al. (2016) A Requirement for ZAK Kinase Activity in Canonical TGF-? Signaling. Transl Oncol 9:473-481
Joshi, Bishnu P; Pant, Asha; Duan, Xiyu et al. (2016) Multimodal Video Colonoscope for Targeted Wide-Field Detection of Nonpolypoid Colorectal Neoplasia. Gastroenterology 150:1084-1086
Al-Dujaili, Saja A; Koh, Amy J; Dang, Ming et al. (2016) Calcium Sensing Receptor Function Supports Osteoblast Survival and Acts as a Co-Factor in PTH Anabolic Actions in Bone. J Cell Biochem 117:1556-67
Stacer, A C; Fenner, J; Cavnar, S P et al. (2016) Endothelial CXCR7 regulates breast cancer metastasis. Oncogene 35:1716-24
Ray, P; Stacer, A C; Fenner, J et al. (2015) CXCL12-? in primary tumors drives breast cancer metastasis. Oncogene 34:2043-51
Bowman, Brittany M; Sebolt, Katrina A; Hoff, Benjamin A et al. (2015) Phosphorylation of FADD by the kinase CK1? promotes KRASG12D-induced lung cancer. Sci Signal 8:ra9
Khondee, Supang; Rabinsky, Emily F; Owens, Scott R et al. (2015) Targeted therapy of colorectal neoplasia with rapamycin in peptide-labeled pegylated octadecyl lithocholate micelles. J Control Release 199:114-21
Boes, Jennifer L; Bule, Maria; Hoff, Benjamin A et al. (2015) The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans. Tomography 1:69-77
Baer, A H; Hoff, B A; Srinivasan, A et al. (2015) Feasibility analysis of the parametric response map as an early predictor of treatment efficacy in head and neck cancer. AJNR Am J Neuroradiol 36:757-62

Showing the most recent 10 out of 161 publications