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.
|Abubakar, Mustapha; Orr, Nick; Daley, Frances et al. (2016) Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groups. Breast Cancer Res 18:104|
|Cichon, Magdalena A; Moruzzi, Megan E; Shqau, Tiziana A et al. (2016) MYC Is a Crucial Mediator of TGFÎ²-Induced Invasion in Basal Breast Cancer. Cancer Res 76:3520-30|
|de la Hoya, Miguel; Soukarieh, Omar; LÃ³pez-Perolio, Irene et al. (2016) Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms. Hum Mol Genet 25:2256-2268|
|Durand, Nisha; Bastea, Ligia I; Long, Jason et al. (2016) Protein Kinase D1 regulates focal adhesion dynamics and cell adhesion through Phosphatidylinositol-4-phosphate 5-kinase type-l Î³. Sci Rep 6:35963|
|Shi, Jiajun; Zhang, Yanfeng; Zheng, Wei et al. (2016) Fine-scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer. Int J Cancer 139:1303-17|
|(2016) Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus. Nat Commun 7:12675|
|Lei, Jieping; Rudolph, Anja; Moysich, Kirsten B et al. (2016) Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility: a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium. Hum Genet 135:137-54|
|Schmidt, Marjanka K; Hogervorst, Frans; van Hien, Richard et al. (2016) Age- and Tumor Subtype-Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers. J Clin Oncol 34:2750-60|
|Li, Xu; Wang, Wenqi; Xi, Yuanxin et al. (2016) FOXR2 Interacts with MYC to Promote Its Transcriptional Activities and Tumorigenesis. Cell Rep 16:487-97|
|Petridis, Christos; Brook, Mark N; Shah, Vandna et al. (2016) Genetic predisposition to ductal carcinoma in situ of the breast. Breast Cancer Res 18:22|
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