The Dana-Farber/Harvard Cancer Center (DF/HCC) Breast Cancer SPORE Biostatistics and Computational Biology Core (Core B) collaborates and provides consultation on all research activities within the SPORE, including SPORE Projects, Developmental Research Program and Career Development Program projects to ensure the highest standards of scientific rigor in areas of study design, data management and integrity and data analysis and interpretation. The overarching goal is to promote translational research derived from fundamental discoveries in the laboratory that can lead to tangible clinical benefit. In addition, we will collaborate with other SPORE Cores to create an integrated system of resource support for the SPORE and SPORE investigators. Core B will also provide short-term biostatistics and computational biology consulting to the entire group of SPORE researchers. Core B has a wealth of experienced biostatisticians and computational biologists equipped with excellent computational support, including major commercial and public-use statistical software, and a large library of locally written software for design and analysis.
Organizing biostatistical and computational biology expertise as a shared resource core is a cost-effective approach to ensure that collaboration is readily available to SPORE investigators. Core B is effective in guaranteeing a high degree of quality of biostatistical support and integration across the SPORE, including Projects and Cores, which have interrelated analytic goals and needs, enhancing the SPORE?s ability to provide translational research outcomes with tangible clinical benefit.
|Cheng, Hailing; Liu, Pixu; Zhang, Fan et al. (2014) A genetic mouse model of invasive endometrial cancer driven by concurrent loss of Pten and Lkb1 Is highly responsive to mTOR inhibition. Cancer Res 74:15-23|
|Lim, Elgene; Ni, Min; Cao, Shiliang et al. (2014) Importance of Breast Cancer Subtype in the Development of Androgen Receptor Directed Therapy. Curr Breast Cancer Rep 6:71-78|
|Schmit, Fabienne; Utermark, Tamara; Zhang, Sen et al. (2014) PI3K isoform dependence of PTEN-deficient tumors can be altered by the genetic context. Proc Natl Acad Sci U S A 111:6395-400|