C O R E D : The staff of the Biostastics Core will be responsible for providing biostatistical support to the research related to therapeutic response and recurrence of this program. The Biostatistical Core is under the supervision of Dr. Timothy D. Johnson of the Biostatistics Department in the University of Michigan School of Public Health. The core provides assistance in the design, analysis and interpretation of preclinical and clinical experiments of the program project. Core personnel will interact with project investigators to ensure that appropriate designs and methods of analysis are used. Design issues involve selection of dose, randomization, timing of measurements, number of animals or patients. For analysis of data, 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 experimental data. Mixed model methods will be used for efficient use of the data in experiments involving repeated measures. Core personnel are experienced in the design and analysis of both animal and clinical data. This will ensure that all data will be collected efficiently and analyzed appropriately. Although these tasks are distinct from thise described in Core C, a close interaction between Cores D and C will be maintained so that data analysis of overiapping experiments can be analyzed in an efficient and productive manner. Similarly Core B will serve as a source of a majority of imaging data for subsequent analysis using statistical modeling and thus close interaction with this Core will also be key to the success of the program.

Public Health Relevance

Overall, this Core will provide the basis for determining the efficacy of new combinations of moleculariy targeted therapies for the treatment of malignant brain tumors. In addition, imaging biomarkers for early assessment of treatment response will be identified and validated which will lead to individualization of patient treatment.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA085878-11
Application #
8745107
Study Section
Special Emphasis Panel (ZCA1-RPRB-W)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
11
Fiscal Year
2014
Total Cost
$172,766
Indirect Cost
$88,258
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Smith, Andrew; Pawar, Mercy; Van Dort, Marcian E et al. (2018) Ocular Toxicity Profile of ST-162 and ST-168 as Novel Bifunctional MEK/PI3K Inhibitors. J Ocul Pharmacol Ther 34:477-485
Akgül, Seçkin; Li, Yinghua; Zheng, Siyuan et al. (2018) Opposing Tumor-Promoting and -Suppressive Functions of Rictor/mTORC2 Signaling in Adult Glioma and Pediatric SHH Medulloblastoma. Cell Rep 24:463-478.e5
Pal, Anupama; Rehemtulla, Alnawaz (2018) Imaging Proteolytic Activities in Mouse Models of Cancer. Methods Mol Biol 1731:247-260
Durmo, Faris; Lätt, Jimmy; Rydelius, Anna et al. (2018) Brain Tumor Characterization Using Multibiometric Evaluation of MRI. Tomography 4:14-25
Pompe, Esther; Galbán, Craig J; Ross, Brian D et al. (2017) Parametric response mapping on chest computed tomography associates with clinical and functional parameters in chronic obstructive pulmonary disease. Respir Med 123:48-55
Irtenkauf, Susan M; Sobiechowski, Susan; Hasselbach, Laura A et al. (2017) Optimization of Glioblastoma Mouse Orthotopic Xenograft Models for Translational Research. Comp Med 67:300-314
Belloli, Elizabeth A; Degtiar, Irina; Wang, Xin et al. (2017) Parametric Response Mapping as an Imaging Biomarker in Lung Transplant Recipients. Am J Respir Crit Care Med 195:942-952
Peng, Yayun; Yang, Dongzhi; Lu, Weifei et al. (2017) Positron emission tomography (PET) guided glioblastoma targeting by a fullerene-based nanoplatform with fast renal clearance. Acta Biomater 61:193-203
Van Dort, Marcian E; Galbán, Stefanie; Nino, Charles A et al. (2017) Structure-Guided Design and Initial Studies of a Bifunctional MEK/PI3K Inhibitor (ST-168). ACS Med Chem Lett 8:808-813
Galbán, Stefanie; Al-Holou, Wajd N; Wang, Hanxiao et al. (2017) MRI-Guided Stereotactic Biopsy of Murine GBM for Spatiotemporal Molecular Genomic Assessment. Tomography 3:9-15

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