The mission of the Biostatistics and Bioinformatics Shared Resource is to provide centralized biostatistics and bioinformatics services, collaborative research, and data management support for the research projects of all members ofthe Masonic Cancer Center (MCC). This Resource provides biostatistics and bioinformatics expertise in the planning, conduct analysis, and reporting ofthe following types of studies: ? Cancer-related clinical studies ? Prognostic, predictive, and surrogate marker studies ? Population-based prevention studies ? Somatic and germline genetic studies ? Animal and laboratory experiments in both new therapies and the basic biology of cancers This Shared Resource ensures that experimental design, study monitoring, and data analyses take advantage of robust and efficient methods that reflect best practices in biostatistics and bioinformatics. The Resource currently has 6 faculty, 2 research associates, 4 senior research fellows, and 3 research fellows;this reflects an increase in seniority and strength from the last funding cycle, although the number of staff members remains the same. Dr. Chap Le, a Professor and Distinguished Teaching Professor of Biostatistics in the University of Minnesota School of Public Health, continues as the Director. Dr. Le is assisted by Mr. Bruce Lindgren, who coordinates the Biostatistics Group, and Dr. Aaron Sarver, who coordinates the Bioinformatics Group. The Biostatistics Group operates as a subunit ofthe Biostatistics Design and Analysis Center of the University of Minnesota Clinical and Translational Science Institute, and the Bioinformatics Group works closely with the University of Minnesota Supercomputer Institute. The Biostatistics and Bioinformatics Shared Resource provides consultation on all cancer-related clinical protocols and supports MCC members in preparing grant applications. Members of all Programs within the MCC make use ofthe services ofthe Biostatistics and Bioinformatics Shared Resource, making it critical to the functioning ofthe MCC.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee G - Education (NCI)
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University of Minnesota Twin Cities
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Guo, Zhijun; Johnson, Veronica; Barrera, Jaime et al. (2018) Targeting cytochrome P450-dependent cancer cell mitochondria: cancer associated CYPs and where to find them. Cancer Metastasis Rev 37:409-423
Scott, Milcah C; Temiz, Nuri A; Sarver, Anne E et al. (2018) Comparative Transcriptome Analysis Quantifies Immune Cell Transcript Levels, Metastatic Progression, and Survival in Osteosarcoma. Cancer Res 78:326-337
Ho, Yen-Yi; Nhu Vo, Tien; Chu, Haitao et al. (2018) A Bayesian hierarchical model for demand curve analysis. Stat Methods Med Res 27:2038-2049
Stabile, Laura P; Farooqui, Mariya; Kanterewicz, Beatriz et al. (2018) Preclinical Evidence for Combined Use of Aromatase Inhibitors and NSAIDs as Preventive Agents of Tobacco-Induced Lung Cancer. J Thorac Oncol 13:399-412
How, Joan; Vij, Kiran R; Ebadi, Maryam et al. (2018) Prognostic value of prior consolidation in acute myeloid leukemia patients undergoing hematopoietic cell transplantation in minimal residual disease-negative first complete remission. Am J Hematol 93:E381-E383
Ustun, C; Brunstein, C; DeFor, T et al. (2018) Importance of conditioning regimen intensity, MRD positivity, and KIR ligand mismatch in UCB transplantation. Bone Marrow Transplant 53:97-100
Williams, Shelly M; Sumstad, Darin; Kadidlo, Diane et al. (2018) Clinical-scale production of cGMP compliant CD3/CD19 cell-depleted NK cells in the evolution of NK cell immunotherapy at a single institution. Transfusion 58:1458-1467
Kaizer, Alexander M; Hobbs, Brian P; Koopmeiners, Joseph S (2018) A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies. Biometrics 74:1082-1094
Li, Danni; Huang, Fangying; Zhao, Yingchun et al. (2018) Plasma lipoproteome in Alzheimer's disease: a proof-of-concept study. Clin Proteomics 15:31
Sperduto, Paul W; Deegan, Brian J; Li, Jing et al. (2018) Estimating survival for renal cell carcinoma patients with brain metastases: an update of the Renal Graded Prognostic Assessment tool. Neuro Oncol 20:1652-1660

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