The Biostatistics/Bioinformatics Core for The University of Texas MD Anderson Cancer Center SPORE in Brain Cancer is a comprehensive, multilateral resource for the design of basic science experiments and clinical trials, and appropriate statistical analysis ofthe resulting data. The Biostatistics and Bioinformatics Core incorporates sound experimental design principles that enhance interpretability of study results, . performs data analyses using appropriate methodology, and contributes to interpretation of results through written reports and frequent interaction with project investigators. Thus, from inception to reporting, translational experiments benefit from SPORE resources which are used to augment existing M.D. Anderson Cancer Center Biostatistics and Bioinformatics resources. The Biostatistics and Bioinformatics Core collaborates with all project investigators to facilitate the timely publication of all data collected under the Brain Cancer SPORE program. To serve all proposed SPORE Projects, as well as the Career Development and Developmental Research Programs, the Biostatistics/Bioinformatics Core has the following objectives: ? Provide biostatistics and bioinformatics expertise in the design and conduct of laboratory experiments and clinical trials arising from the research proposed in this application, ? Provide biostatistics and bioinformatics analysis and interpretation of all data collected under the SPORE Projects, Developmental Projects, and other Cores, and ? Collaborate and assist all project investigators with the publication of scientific results.

Public Health Relevance

DO NOT EXCEED THE SPACE PROVIDED. Appropriate statistical analysis ofthe data resulting from translational research and the publication of the information is critical to the advancement and distribution of scientific information, through which the outcome of patients with malignant gliomas will be improved.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA127001-10
Application #
9339986
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2008-09-01
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
10
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
Wang, Qianghu; Hu, Baoli; Hu, Xin et al. (2018) Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment. Cancer Cell 33:152
Dong, Jianwen; Park, Soon Young; Nguyen, Nghi et al. (2018) The polo-like kinase 1 inhibitor volasertib synergistically increases radiation efficacy in glioma stem cells. Oncotarget 9:10497-10509
Thomas, Jonathan G; Parker Kerrigan, Brittany C; Hossain, Anwar et al. (2018) Ionizing radiation augments glioma tropism of mesenchymal stem cells. J Neurosurg 128:287-295
Lu, Zhimin; Hunter, Tony (2018) Metabolic Kinases Moonlighting as Protein Kinases. Trends Biochem Sci 43:301-310
Jacobs, Daniel I; Liu, Yanhong; Gabrusiewicz, Konrad et al. (2018) Germline polymorphisms in myeloid-associated genes are not associated with survival in glioma patients. J Neurooncol 136:33-39
Lu, Sean; Wang, Yugang (2018) Nonmetabolic functions of metabolic enzymes in cancer development. Cancer Commun (Lond) 38:63
Qiao, Yang; Gumin, Joy; MacLellan, Christopher J et al. (2018) Magnetic resonance and photoacoustic imaging of brain tumor mediated by mesenchymal stem cell labeled with multifunctional nanoparticle introduced via carotid artery injection. Nanotechnology 29:165101
Zinn, Pascal O; Singh, Sanjay K; Kotrotsou, Aikaterini et al. (2018) A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models. Clin Cancer Res 24:6288-6299
Shah, Maitri Y; Ferracin, Manuela; Pileczki, Valentina et al. (2018) Cancer-associated rs6983267 SNP and its accompanying long noncoding RNA CCAT2 induce myeloid malignancies via unique SNP-specific RNA mutations. Genome Res 28:432-447
Mostovenko, Ekaterina; Végvári, Ákos; Rezeli, Melinda et al. (2018) Large Scale Identification of Variant Proteins in Glioma Stem Cells. ACS Chem Neurosci 9:73-79

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