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
Reese, Jordan M; Bruinsma, Elizabeth S; Nelson, Adam W et al. (2018) ER?-mediated induction of cystatins results in suppression of TGF? signaling and inhibition of triple-negative breast cancer metastasis. Proc Natl Acad Sci U S A 115:E9580-E9589
Lilyquist, Jenna; Ruddy, Kathryn J; Vachon, Celine M et al. (2018) Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. Cancer Epidemiol Biomarkers Prev 27:380-394
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
Kannan, Nagarajan; Eaves, Connie J (2018) Macrophages stimulate mammary stem cells. Science 360:1401-1402
Guidugli, Lucia; Shimelis, Hermela; Masica, David L et al. (2018) Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches. Am J Hum Genet 102:233-248
Kurmi, Kiran; Hitosugi, Sadae; Wiese, Elizabeth K et al. (2018) Carnitine Palmitoyltransferase 1A Has a Lysine Succinyltransferase Activity. Cell Rep 22:1365-1373
Goetz, Matthew P; Sangkuhl, Katrin; Guchelaar, Henk-Jan et al. (2018) Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and Tamoxifen Therapy. Clin Pharmacol Ther 103:770-777
Baheti, Saurabh; Tang, Xiaojia; O'Brien, Daniel R et al. (2018) HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data. BMC Bioinformatics 19:271
Hart, Steven N; Hoskin, Tanya; Shimelis, Hermela et al. (2018) Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genet Med :
Ho, Ming-Fen; Correia, Cristina; Ingle, James N et al. (2018) Ketamine and ketamine metabolites as novel estrogen receptor ligands: Induction of cytochrome P450 and AMPA glutamate receptor gene expression. Biochem Pharmacol 152:279-292

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