The Biostatistics Core provides stafisfical collaborafion and data management support for each of the SPORE projects, the Developmental Research Program projects, the Career Development Program, and the other Cores. The Biostafistics Core prepared the stafisfical plans for each of the four projects, will provide data management for each of the projects and adverse event monitoring for the clinical trials, and will prepare data summaries for manuscript preparation. The Biostatistics Core has been very active in preparing the stafistical plans for each of the four projects in this SPORE Application. Each of the projects presented in this applicafion reflects input from members of the Biostatistics Core on study design and analysis plan. These projects require a wide range of approaches and analyses. The Biostafistics Core builds upon the innovative and time-tested procedures and systems developed by Mayo Clinic, one of the largest stafisfical groups in the country whose members have collaborated on more than 13,000 clinical and basic science research studies since 1966. The Biostafistics Core has the capability to provide statistical support across different fields. Including molecular epidemiologic studies, basic science with translational, immunologic, and correlafive studies, gene microarray, clinical trials, gene and mutation discovery, and informafion management. The comprehensive nature of the Biostafisfics Core assures each SPORE invesfigator access to statistical expertise that includes collaborative development of study designs and analysis plans, state-of-the-art data analysis and Interpretation, data management resources, and abstract and manuscript preparation. The Biostafisfics Core also provides a mechanism for the management and integration of both existing and newly collected data through consistent and compatible data handling. Areas of support include database development, data form development and processing, data collecfion and entry, data archiving, quality control, and management of information relafing to the projects and cores. This Core complements and assists the efforts of the Animal Model Core and the Biospecimens and Patient Registry Core by providing superior data management and experience with fissue registries. The strengths of the Biostatistics Core are our collaboration with each of the projects and cores, the knowledge of and ability to ufilize the established research databases, the operational and statistical infrastructure already in place in the institution, and the breadth of expertise provided by Biostatistics Core personnel.

Public Health Relevance

Careful data management approaches and proper data analysis methods are required to ensure that the correct conclusions are made from a research study. The Biostafistics Core will provide expertise and support to ovarian cancer researchers in the areas of study design, data management, and data analysis.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA136393-01A1
Application #
7727453
Study Section
Special Emphasis Panel (ZCA1-RPRB-M (M1))
Project Start
2009-07-01
Project End
2014-06-30
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
1
Fiscal Year
2009
Total Cost
$218,809
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Li, Lei; Liu, Tongzheng; Li, Yunhui et al. (2018) The deubiquitinase USP9X promotes tumor cell survival and confers chemoresistance through YAP1 stabilization. Oncogene 37:2422-2431
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Wu, Dongyan; Yang, Haitao; Winham, Stacey J et al. (2018) Mediation analysis of alcohol consumption, DNA methylation, and epithelial ovarian cancer. J Hum Genet 63:339-348
Painter, Jodie N; O'Mara, Tracy A; Morris, Andrew P et al. (2018) Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses. Cancer Med 7:1978-1987
Wahner Hendrickson, Andrea E; Menefee, Michael E; Hartmann, Lynn C et al. (2018) A Phase I Clinical Trial of the Poly(ADP-ribose) Polymerase Inhibitor Veliparib and Weekly Topotecan in Patients with Solid Tumors. Clin Cancer Res 24:744-752
Natanzon, Yanina; Goode, Ellen L; Cunningham, Julie M (2018) Epigenetics in ovarian cancer. Semin Cancer Biol 51:160-169
Knijnenburg, Theo A; Wang, Linghua; Zimmermann, Michael T et al. (2018) Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas. Cell Rep 23:239-254.e6
Jung, DeokBeom; Khurana, Ashwani; Roy, Debarshi et al. (2018) Quinacrine upregulates p21/p27 independent of p53 through autophagy-mediated downregulation of p62-Skp2 axis in ovarian cancer. Sci Rep 8:2487
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459

Showing the most recent 10 out of 294 publications