The Biostatistics, Bioinformatics, and Patient Registry Core provides statistical and bioinformatics collaboration and data management support for each of the SPORE projects, Developmental Research and Career Enhancement projects, and the other cores. Its members have breast cancer content knowledge. Their collaborative efforts are included the development of a statistical design and analysis plan, quality control, database development, data form development and processing, data collection/abstraction and entry, data analysis and interpretation, manuscript preparation, and data archiving. The existence of the Biostatistics Core has provided SPORE investigators access to statistical expertise which includes state of the art data analysis and data management resources as well as provides a mechanism of consistent and compatible data handling. These efforts have resulted in 59 publications over the previous funding period. In this renewal application, the Biostatistics, Bioinformatics, and Patient Registry Core (Core C) has worked with each of the SPORE project research teams in preparing their project research plans. Throughout the conduct of this research, Core members will attend Project team meeting as well as smaller investigators meetings to assure each SPORE investigator has ongoing access to the statistical expertise needed during the evolution of their research endeavor. Through these collaborative activities, SPORE investigators have access to a team of statistical/bioinformatics collaborators with breast cancer content knowledge to ensure the development of a study design that can generate data to address the questions posed as well as to ensure the application of statistical and bioinformatics analysis techniques which are appropriate for the complex data generated in these diverse projects. This core complements and assists the efforts of the Biospecimen and Pathology Core by providing state of the art data management and collaboration with biospecimen registries. In summary, Core C will help assure that research in the Mayo Clinic Breast Cancer SPORE is carried out in an efficient, effective, and rigorous manner.

Public Health Relevance

The Biostatistics, Bioinformatics, and Patient Registry Core provides SPORE investigators with access to individuals with expertise in statistical design; analysis techniques; and data management as well as access to a means to identify patient cohorts and obtain consistently collected and verified data for these cohorts.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA116201-14
Application #
9767048
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2019-09-01
Budget End
2020-08-31
Support Year
14
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Augusto, Bianca; Kasting, Monica L; Couch, Fergus J et al. (2018) Current Approaches to Cancer Genetic Counseling Services for Spanish-Speaking Patients. J Immigr Minor Health :
Supekar, Nitin T; Lakshminarayanan, Vani; Capicciotti, Chantelle J et al. (2018) Synthesis and Immunological Evaluation of a Multicomponent Cancer Vaccine Candidate Containing a Long MUC1 Glycopeptide. Chembiochem 19:121-125
Rebbeck, Timothy R (see original citation for additional authors) (2018) Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations. Hum Mutat 39:593-620
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
Fasching, Peter A; Loibl, Sibylle; Hu, Chunling et al. (2018) BRCA1/2 Mutations and Bevacizumab in the Neoadjuvant Treatment of Breast Cancer: Response and Prognosis Results in Patients With Triple-Negative Breast Cancer From the GeparQuinto Study. J Clin Oncol 36:2281-2287
Rice, Megan S; Tamimi, Rulla M; Bertrand, Kimberly A et al. (2018) Does mammographic density mediate risk factor associations with breast cancer? An analysis by tumor characteristics. Breast Cancer Res Treat 170:129-141
Wang, Liewei; Ingle, James; Weinshilboum, Richard (2018) Pharmacogenomic Discovery to Function and Mechanism: Breast Cancer as a Case Study. Clin Pharmacol Ther 103:243-252
Augusto, Bianca M; Lake, Paige; Scherr, Courtney L et al. (2018) From the laboratory to the clinic: sharing BRCA VUS reclassification tools with practicing genetics professionals. J Community Genet 9:209-215
Tu, Xinyi; Kahila, Mohamed M; Zhou, Qin et al. (2018) ATR Inhibition Is a Promising Radiosensitizing Strategy for Triple-Negative Breast Cancer. Mol Cancer Ther 17:2462-2472
Athreya, Arjun P; Gaglio, Alan J; Cairns, Junmei et al. (2018) Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer. IEEE Trans Nanobioscience 17:251-259

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