The Biostatistics & Bioinformatics Core is responsible for all statistical, bioinformatics, and data management activities for each of the SPORE projects, the developmental and career development research projects, and the Cores. The Core deliberately leverages and builds upon strong existing institutional infrastructure by providing investigators access to statistical and bioinformatics expertise and extensive Mayo Clinic Cancer Center (MCCC) and Division of Biomedical Statistics and Informatics (BSI) infrastructure. Each of the projects presented in this application reflects input from members of the Biostatistics & Bioinformatics Core with respect to the design and analysis plan. The research studies will be conducted across different platforms with different data management needs, from in vivo murine models to a phase I and II clinical trial to correlative studies of biospecimens from clinical trials and an existing tumor registry. The Core will provide statistical expertise including experimental design for laboratory studies, statistical modeling, analysis of high-dimensional data, design and analyses of correlative studies using biospecimens, and sound clinical trial design. The Core will also provide bioinformatics support for processing, analysis, and interpretation of genomics data, as well as for long-term storage and planning future analysis needs. Members of the Biostatistics & Bioinformatics Core in consultation with the biostatistics and bioinformatics faculty in the Division of BSI, will explore, implement and develop appropriate designs and analyses to address the aims of the individual projects. The Core will oversee the data management and integration of existing and newly collected data through consistent and compatible data handling. In addition, members of this Core will complement and assist the efforts of other Cores such as the Biospecimens & Clinical Database Core with superior data management, and experience with institutional databases. The strengths of the Biostatistics & Bioinformatics Core are our collaborative relationship with each of the projects and Cores, the operational, statistical, and bioinformatics infrastructures already in place in the MCCC and the Division of BSI, and the diverse and extensive statistical and bioinformatics experience of the Core members. Overall, the Biostatistics & Bioinformatics Core builds upon the innovative and time-tested procedures and systems developed by one of the largest statistical and bioinformatics groups in the country, which has supported more than 13,000 clinical, translational, and basic science research studies since 1966.

Public Health Relevance

The Biostatistics & Bioinformatics Core will provide the SPORE investigators access to statistical and bioinformatics expertise that includes state-of-the-art statistical analysis; bioinformatics processing, analysis, and interpretation; and data management resources. It provides a mechanism for consistent and compatible data handling among the projects and ensures the work across the SPORE is accomplished in a timely manner. Providing oversight of all SPORE related statistical, bioinformatics, and data management activities through this Core allows for synergies and efficiencies for systemic and programmatic initiatives beyond what can be achieved with individual statistical and bioinformatics teams for each project.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA186781-01A1
Application #
8930231
Study Section
Special Emphasis Panel (ZCA1-RPRB-0 (M1))
Project Start
2015-09-01
Project End
2020-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
1
Fiscal Year
2015
Total Cost
$126,014
Indirect Cost
$28,781
Name
Mayo Clinic, Arizona
Department
Type
DUNS #
153665211
City
Scottsdale
State
AZ
Country
United States
Zip Code
85259
Baughn, Linda B; Pearce, Kathryn; Larson, Dirk et al. (2018) Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer J 8:96
Russell, Stephen J; Barber, Glen N (2018) Oncolytic Viruses as Antigen-Agnostic Cancer Vaccines. Cancer Cell 33:599-605
Clay-Gilmour, Alyssa I; Kumar, Shaji; Rajkumar, S Vincent et al. (2018) Risk of MGUS in relatives of multiple myeloma cases by clinical and tumor characteristics. Leukemia :
Sidiqi, M Hasib; Aljama, Mohammed A; Muchtar, Eli et al. (2018) Light chain type predicts organ involvement and survival in AL amyloidosis patients receiving stem cell transplantation. Blood Adv 2:769-776
Nair, Shiny; Sng, Joel; Boddupalli, Chandra Sekhar et al. (2018) Antigen-mediated regulation in monoclonal gammopathies and myeloma. JCI Insight 3:
Msaouel, Pavlos; Opyrchal, Mateusz; Dispenzieri, Angela et al. (2018) Clinical Trials with Oncolytic Measles Virus: Current Status and Future Prospects. Curr Cancer Drug Targets 18:177-187
Go, Ronald S; Rajkumar, S Vincent (2018) How I manage monoclonal gammopathy of undetermined significance. Blood 131:163-173
Kyle, Robert A; Larson, Dirk R; McPhail, Ellen D et al. (2018) Fifty-Year Incidence of Waldenström Macroglobulinemia in Olmsted County, Minnesota, From 1961 Through 2010: A Population-Based Study With Complete Case Capture and Hematopathologic Review. Mayo Clin Proc 93:739-746
Calcinotto, Arianna; Brevi, Arianna; Chesi, Marta et al. (2018) Microbiota-driven interleukin-17-producing cells and eosinophils synergize to accelerate multiple myeloma progression. Nat Commun 9:4832
Facon, Thierry; Dimopoulos, Meletios A; Dispenzieri, Angela et al. (2018) Final analysis of survival outcomes in the phase 3 FIRST trial of up-front treatment for multiple myeloma. Blood 131:301-310

Showing the most recent 10 out of 95 publications