The Biostatistics Shared Resource of the Mayo Clinic Cancer Center (MCCC) has provided expert statistical collaboration with MCCC investigators for over 30 years. The purpose of the resource is to provide statistical and biomathematical collaboration for the development and conduct of peer-reviewed cancer research generated by investigators in the MCCC. This research ranges from the bench to the bedside to the population, and encompasses basic science, clinical trials, epidemiologic research, and other translational and educational research. The primary usage of the funds provided to the resource by the CCSG is to support statistical and mathematical collaboration on pilot projects, for assistance to investigators in developing approved research projects not otherwise funded but leading towards external funding, and to support unanticipated needs for statistical collaboration on MCCC approved projects. Over the 30 year history of the Biostatistics Shared Resource, the group has undergone a natural and deliberate evolution and expansion, spurred by the expanding research activities of the MCCC. The Biostatistics Shared Resource has multiple focus areas (teams) tied together into a well-organized, efficient core. These are: (I) a Clinical Trials team responsible for cancer clinical trials, associated translational research, interventional psychosocial research, and imaging, together with patient and public education research projects, (II) a Population Science team responsible for providing statistical collaboration and data management support for cancer observational studies, including genetic and molecular epidemiology, (III) a Quality of Life team responsible for providing general and specific advice, measurement tools, and analysis for MCCC investigators who are investigating the impact of clinical and psychosocial interventions on cancer patients, families, caregivers, and others, and (IV) a Biomathematics team that provides collaborative expertise in the mathematical aspects of imaging, data processing and analysis, mathematical modeling (e.g. of tumor growth), and general mathematical or algorithmic issues. These groups work efficiently and effectively together to provide statistical and biomathematical collaboration to Mayo Clinic Cancer Center investigators across all three MCCC campuses.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA015083-34
Application #
7618224
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-03-01
Budget End
2009-02-28
Support Year
34
Fiscal Year
2008
Total Cost
$816,108
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
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
Leon-Ferre, Roberto A; Polley, Mei-Yin; Liu, Heshan et al. (2018) Impact of histopathology, tumor-infiltrating lymphocytes, and adjuvant chemotherapy on prognosis of triple-negative breast cancer. Breast Cancer Res Treat 167:89-99
Jahanseir, Khadijeh; Xing, Deyin; Greipp, Patricia T et al. (2018) PDGFB Rearrangements in Dermatofibrosarcoma Protuberans of the Vulva: A Study of 11 Cases Including Myxoid and Fibrosarcomatous Variants. Int J Gynecol Pathol 37:537-546
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
Yu, Jia; Qin, Bo; Moyer, Ann M et al. (2018) DNA methyltransferase expression in triple-negative breast cancer predicts sensitivity to decitabine. J Clin Invest 128:2376-2388
Sugihara, Takaaki; Werneburg, Nathan W; Hernandez, Matthew C et al. (2018) YAP Tyrosine Phosphorylation and Nuclear Localization in Cholangiocarcinoma Cells Are Regulated by LCK and Independent of LATS Activity. Mol Cancer Res 16:1556-1567
Natanzon, Yanina; Goode, Ellen L; Cunningham, Julie M (2018) Epigenetics in ovarian cancer. Semin Cancer Biol 51:160-169
Kleinstern, Geffen; Camp, Nicola J; Goldin, Lynn R et al. (2018) Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis. Blood 131:2541-2551
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 1129 publications