The Biostatistics and Patient Registry Core provides statistical collaboration and data management support for each of the SPORE projects, the Cores, the Developmental Research Projects and the Career Development Awardees. Areas of support include development of a statistical design and analysis plan, quality control, database development, data form development and processing, data collection and entry, data analysis and interpretation, manuscript preparation, and data archiving. The Biostatistics and Patient Registry Core will continue to oversee the development, population, and maintenance of the Breast Cancer Patient Registry (BCPR). Members of the Biostatistics and Patient Registry Core will continue collaborations with the Mayo Foundation staff who are working on an enterprise-wide initiative to develop a virtual data warehouse that integrates elements of the Mayo electronic medical record. Surgical Index, Pathology index. Tumor Registry, Tissue Registry, Cancer Center database, orders, and resource utilization database. These collaborations will lead to a means to identify patient cohorts for Breast Cancer SPORE projects and to electronically populate some elements into the BCPR. During the previous funding period, the Core has employed and adapted the time-tested procedures and systems developed by Division of Biomedical Statistics and Informatics, one of the largest statistical groups in the country. The Breast Cancer Patient Registry (BCPR) grew from a single study database containing demographic and outcome data to a database capable of storing data on a variety of patient cohorts using both common data elements and study specific data elements. Not only has the BCPR data been utilized by SPORE investigators but pre-defined patient cohorts have been shared with the DCIS Collaborative Consortium, Breast Cancer Association Consortium, the Consortium of Investigators of Modifiers of BRCAI/2, and The Cancer Genome Atlas. Core members have participated in Project meetings as well as have held one on one meetings with Project team members to discuss statistical designs, analysis plans, emerging research questions and possible future directions;data analysis and interpretation, and the drafting of manuscripts. These collaborations have led to 29 publications that have contributed to our understanding of breast cancer development, risk and management.
The 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.
|Qin, Sisi; Ingle, James N; Liu, Mohan et al. (2017) Calmodulin-like protein 3 is an estrogen receptor alpha coregulator for gene expression and drug response in a SNP, estrogen, and SERM-dependent fashion. Breast Cancer Res 19:95|
|Athreya, Arjun P; Kalari, Krishna R; Cairns, Junmei et al. (2017) Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer. Oncotarget 8:27199-27215|
|Leon-Ferre, Roberto A; Polley, Mei-Yin; Liu, Heshan et al. (2017) Impact of histopathology, tumor-infiltrating lymphocytes, and adjuvant chemotherapy on prognosis of triple-negative breast cancer. Breast Cancer Res Treat :|
|Fagerholm, Rainer; Khan, Sofia; Schmidt, Marjanka K et al. (2017) TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer. Oncotarget 8:18381-18398|
|Weinshilboum, Richard M; Wang, Liewei (2017) Pharmacogenomics: Precision Medicine and Drug Response. Mayo Clin Proc 92:1711-1722|
|Amos, Christopher I; Dennis, Joe; Wang, Zhaoming et al. (2017) The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer Epidemiol Biomarkers Prev 26:126-135|
|Engmann, Natalie J; Scott, Christopher G; Jensen, Matthew R et al. (2017) Longitudinal Changes in Volumetric Breast Density with Tamoxifen and Aromatase Inhibitors. Cancer Epidemiol Biomarkers Prev 26:930-937|
|Vierkant, Robert A; Degnim, Amy C; Radisky, Derek C et al. (2017) Mammographic breast density and risk of breast cancer in women with atypical hyperplasia: an observational cohort study from the Mayo Clinic Benign Breast Disease (BBD) cohort. BMC Cancer 17:84|
|Yaghjyan, Lusine; Stoll, Ethan; Ghosh, Karthik et al. (2017) Tissue-based associations of mammographic breast density with breast stem cell markers. Breast Cancer Res 19:100|
|Couch, Fergus J; Shimelis, Hermela; Hu, Chunling et al. (2017) Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer. JAMA Oncol 3:1190-1196|
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