The research proposals in this SPORE encompass a broad range of activities, including studies with cell lines, animal models, and clinical trials. These studies will generate different types of data. Properly designing and analyzing such a wide variety of studies will require a variety of statistical and bioinformatics techniques Data and information must flow smoothly between projects. Data quality and integrity must be ensured by using data audit and backup procedures. Also needed is an efficient interface between the computational biology and data storage facilities provided by the SPORE Core C (Pathology and Data Management Core), particularly forthe large amounts of microarray and proteomics expression profiling information. To meet these needs, the Biostatistics and Bioinformatics Core brings together several biostatisticians, bioinformaticians and analysts with expertise in a variety of statistical and bioinformatics disciplines. Placing these individuals within the Biostatistics and Bioinformatics Core (rather than in the individual Projects) strengthens the ability of the Projects to interact effectively. This resource also has the flexibility to match personnel to the evolving biostatistics and bioinformatics needs of the SPORE projects. The Biostatistics and Bioinformatics Core will provide expertise in study design and data analysis to all Projects and Cores.
The specific aims of the Biostatistics and Bioinformatics Core are to:
The specific aims of the Biostatistics and Bioinformatics Core are to: 1. Provide guidance in the design and conduct of clinical trials and other experiments arising from the ongoing research of the SPORE. 2. Provide the innovative and tailored statistical modeling, simulation techniques, and data analyses needed by the Projects, Developmental Research and Career Development Projects, and other Cores to achieve their specific aims. 3. Ensure that the results of all Projects are based on well-designed experiments and are appropriately interpreted.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA091846-11
Application #
8230259
Study Section
Special Emphasis Panel (ZCA1-RPRB-M (O1))
Project Start
2011-09-01
Project End
2017-08-31
Budget Start
2012-09-19
Budget End
2012-08-31
Support Year
11
Fiscal Year
2012
Total Cost
$203,200
Indirect Cost
$66,291
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
Choi, Woonyoung; Porten, Sima; Kim, Seungchan et al. (2014) Identification of distinct basal and luminal subtypes of muscle-invasive bladder cancer with different sensitivities to frontline chemotherapy. Cancer Cell 25:152-65
Hoang, Anthony N; Agarwal, Piyush K; Walton-Diaz, Annerleim et al. (2014) Clinical significance of ureteric 'skip lesions' at the time of radical cystectomy: the M.D. Anderson experience and literature review. BJU Int 113:E28-33
Benedict, W F; Fisher, M; Zhang, X-Q et al. (2014) Use of monitoring levels of soluble forms of cytokeratin 18 in the urine of patients with superficial bladder cancer following intravesical Ad-IFN?/Syn3 treatment in a phase l study. Cancer Gene Ther 21:91-4
Figueroa, Jonine D; Ye, Yuanqing; Siddiq, Afshan et al. (2014) Genome-wide association study identifies multiple loci associated with bladder cancer risk. Hum Mol Genet 23:1387-98
Culp, Stephen H; Dickstein, Rian J; Grossman, H Barton et al. (2014) Refining patient selection for neoadjuvant chemotherapy before radical cystectomy. J Urol 191:40-7
Chakravarti, Deepavali; Su, Xiaohua; Cho, Min Soon et al. (2014) Induced multipotency in adult keratinocytes through down-regulation of ?Np63 or DGCR8. Proc Natl Acad Sci U S A 111:E572-81
Cancer Genome Atlas Research Network (2014) Comprehensive molecular characterization of urothelial bladder carcinoma. Nature 507:315-22
Dinney, Colin P N; Hansel, Donna; McConkey, David et al. (2014) Novel neoadjuvant therapy paradigms for bladder cancer: results from the National Cancer Center Institute Forum. Urol Oncol 32:1108-15
Yan, Chao; Liu, Degang; Li, Liwei et al. (2014) Discovery and characterization of small molecules that target the GTPase Ral. Nature 515:443-7
Lee, Eugene K; Ye, Yuanquing; Kamat, Ashish M et al. (2013) Genetic variations in regulator of G-protein signaling (RGS) confer risk of bladder cancer. Cancer 119:1643-51

Showing the most recent 10 out of 178 publications