The goal of the Biostatistics Core is to collaborate with SPORE investigators and other core resource scientists to enhance the quality of the research undertaken in the University of Michigan Prostate SPORE. The Core personnel have been chosen because of their expertise in relevant areas of Biostatistics and because of their experience and knowledge of prostate cancer. Biostatistics Core personnel will collaborate with every one of the four proposed projects. The Core will also nteract with the other cores and also with all funded development awards, and, thus, this core is crucially mportant to the SPORE. Personnel from the core will interact with the investigators in all stages of the research, beginning with the formulation of the research question, through the experimental design stage and data collection stage, to data analysis and interpretation, to the writing of reports and dissemination of results. Two areas where biostatistical expertise is indispensable are in experimental design and data analysis. It will be apparent from this proposal that Core personnel have played a significant role in designing the proposed experiments and in planning the data analysis.
The Specific Aims of the Core are 1) assist investigators in the design of clinical and laboratory experiments;2) assist investigators in the analysis and interpretation of data from clinical and laboratory experiments and in writing of scientific manuscripts relaying prostate cancer SPORE results to the scientific community;and 3) undertake translational biostatistics research to develop methodology relevant to prostate cancer.
|Rye, Morten Beck; Bertilsson, Helena; Andersen, Maria K et al. (2018) Cholesterol synthesis pathway genes in prostate cancer are transcriptionally downregulated when tissue confounding is minimized. BMC Cancer 18:478|
|Xie, Yuanyuan; Cao, Zhen; Wong, Elissa Wp et al. (2018) COP1/DET1/ETS axis regulates ERK transcriptome and sensitivity to MAPK inhibitors. J Clin Invest 128:1442-1457|
|Singhal, Udit; Wang, Yugang; Henderson, James et al. (2018) Multigene Profiling of CTCs in mCRPC Identifies a Clinically Relevant Prognostic Signature. Mol Cancer Res 16:643-654|
|Wang, Xiaoju; Qiao, Yuanyuan; Asangani, Irfan A et al. (2017) Development of Peptidomimetic Inhibitors of the ERG Gene Fusion Product in Prostate Cancer. Cancer Cell 31:532-548.e7|
|Blattner, Mirjam; Liu, Deli; Robinson, Brian D et al. (2017) SPOP Mutation Drives Prostate Tumorigenesis In Vivo through Coordinate Regulation of PI3K/mTOR and AR Signaling. Cancer Cell 31:436-451|
|Dai, Xiangpeng; Gan, Wenjian; Li, Xiaoning et al. (2017) Prostate cancer-associated SPOP mutations confer resistance to BET inhibitors through stabilization of BRD4. Nat Med 23:1063-1071|
|Lin, Ke-Chih; Torga, Gonzalo; Wu, Amy et al. (2017) Epithelial and mesenchymal prostate cancer cell population dynamics on a complex drug landscape. Converg Sci Phys Oncol 3:|
|Chen, Weiqiang; Allen, Steven G; Reka, Ajaya Kumar et al. (2016) Nanoroughened adhesion-based capture of circulating tumor cells with heterogeneous expression and metastatic characteristics. BMC Cancer 16:614|
|Hu, Shuhuan; Liu, Guangyu; Chen, Weiqiang et al. (2016) Multiparametric Biomechanical and Biochemical Phenotypic Profiling of Single Cancer Cells Using an Elasticity Microcytometer. Small 12:2300-11|
|Piert, Morand; Montgomery, Jeffrey; Kunju, Lakshmi Priya et al. (2016) 18F-Choline PET/MRI: The Additional Value of PET for MRI-Guided Transrectal Prostate Biopsies. J Nucl Med 57:1065-70|
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