The Biostatistics Shared Resource (BSR) of the Mayo Clinic Cancer Center (MCCC) has provided expert statistical collaboration with MCCC investigators for over 35 years. The purpose is to provide statistical and biomathematical collaboration for the development and conduct of peer-reviewed cancer research generated by MCCC investigators. Research encompasses basic science, clinical trials, epidemiologic research, and other translational and educational research. The primary usage of CCSG funds is to support statistical and biomathematical 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 its history the BSR has undergone a natural and deliberate evolution and expansion, spurred by the expanding research activities of the MCCC. In the current grant period the BSR has successfully and strategically expanded in two primary areas: high dimensional genomic and proteomic data analysis (4 new faculty with this expertise), and to all 3 MCCC campuses. BSR faculty are physically located on all 3 MCCC campuses, and the entire resource communicates regularly and effectively through multiple mechanisms to ensure coordinated collaboration. The BSR 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 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 collaboration, measurement tools, and analysis for MCCC investigators 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 of diease processes, and general mathematical or algorithmic issues. The BSR provides statistical and biomathematical collaboration to MCCC investigators across all three MCCC campuses. The resource has been remarkably productive, with 528 peer reviewed publications in the current grant period, and has collaborated on 104 NIH or NIH equivalent grants in the current grant period.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA015083-39
Application #
8465668
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
39
Fiscal Year
2013
Total Cost
$510,880
Indirect Cost
$157,202
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Basch, Ethan; Rogak, Lauren J; Dueck, Amylou C (2016) Methods for Implementing and Reporting Patient-reported Outcome (PRO) Measures of Symptomatic Adverse Events in Cancer Clinical Trials. Clin Ther 38:821-30
Renner, Danielle N; Malo, Courtney S; Jin, Fang et al. (2016) Improved Treatment Efficacy of Antiangiogenic Therapy when Combined with Picornavirus Vaccination in the GL261 Glioma Model. Neurotherapeutics 13:226-36
Navari, Rudolph M; Qin, Rui; Ruddy, Kathryn J et al. (2016) Olanzapine for the Prevention of Chemotherapy-Induced Nausea and Vomiting. N Engl J Med 375:134-42
Amirian, E Susan; Zhou, Renke; Wrensch, Margaret R et al. (2016) Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study. Cancer Epidemiol Biomarkers Prev 25:282-90
Cuellar-Partida, Gabriel; Lu, Yi; Dixon, Suzanne C et al. (2016) Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet 135:741-56
Ye, Zi; Austin, Erin; Schaid, Daniel J et al. (2016) A multi-locus genetic risk score for abdominal aortic aneurysm. Atherosclerosis 246:274-9
McCormack, Valerie A; Burton, Anya; dos-Santos-Silva, Isabel et al. (2016) International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries. Cancer Epidemiol 40:141-51
Basal, E; Ayeni, T; Zhang, Q et al. (2016) Patterns of Müllerian Inhibiting Substance Type II and Candidate Type I Receptors in Epithelial Ovarian Cancer. Curr Mol Med 16:222-31
Vaidhyanathan, Shruthi; Wilken-Resman, Brynna; Ma, Daniel J et al. (2016) Factors Influencing the Central Nervous System Distribution of a Novel Phosphoinositide 3-Kinase/Mammalian Target of Rapamycin Inhibitor GSK2126458: Implications for Overcoming Resistance with Combination Therapy for Melanoma Brain Metastases. J Pharmacol Exp Ther 356:251-9
Yoon, H H; Foster, N R; Meyers, J P et al. (2016) Gene expression profiling identifies responsive patients with cancer of unknown primary treated with carboplatin, paclitaxel, and everolimus: NCCTG N0871 (alliance). Ann Oncol 27:339-44

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