The Biostatistics Core provides statistical collaboration and data management support for each of the SPORE projects, the developmental projects, and the other Cores. In this competitive renewal, the Biostatistics Core has been very active in preparing the statistical plan for each Project. In addition, the Biostatistics Core continues to provide data management for each of the projects, adverse event monitoring for the clinical trials, and prepares data summaries for manuscript preparation. These projects span a wide range of approaches and analyses. The Biostatistics Core builds upon the innovative and time-tested procedures and systems developed by Mayo Clinic, one of the largest statistical groups in the country whose members have collaborated on clinical and basic science research studies since 1932. The Biostatistics Core will provide statistical support across different fields, including epidemiological studies, basic sciences including translational and immunologic correlative studies, gene expression and imaging, clinical trials, gene and mutation discovery, next generation sequencing and information management. The comprehensive nature of the Biostatistics Core assures each SPORE investigator access to statistical expertise that includes collaborative development of study designs and analysis plans, state of the art data analysis and interpretation, data management resources, and abstract and manuscript preparation. The Biostatistics Core also provides a mechanism for the management and integration of both existing and newly collected data through consistent and compatible data handling, database development, data form development and processing, data collection and entry, data archiving, quality control, and management of information relating to the projects and cores. This Core complements and assists the efforts of the Clinical Research and Tissue Cores by providing superior data management and experience with tissue registries. The strengths of the Biostatistics Core are our collaboration with each of the projects and cores, the ability to utilize the established centralized research database as well as the operational and statistical infrastructure already in place in the SPORE, and the breadth of expertise provided by Biostatistics Core personnel.
The Biostatistics Core collaborates with SPORE investigators in designing studies and clinical trials, determining optimal data collection methods, performing data management and quality control, and in analyzing and interpreting study results. The Biostatistics Core interacts with the Clinical Research and Tissue Cores, ensuring optimal use of resources and outstanding quality research with the utmost reliability.
|Liou, Geou-Yarh; Döppler, Heike; Necela, Brian et al. (2015) Mutant KRAS-induced expression of ICAM-1 in pancreatic acinar cells causes attraction of macrophages to expedite the formation of precancerous lesions. Cancer Discov 5:52-63|
|Zhen, David B; Rabe, Kari G; Gallinger, Steven et al. (2015) BRCA1, BRCA2, PALB2, and CDKN2A mutations in familial pancreatic cancer: a PACGENE study. Genet Med 17:569-77|
|Delgiorno, Kathleen E; Hall, Jason C; Takeuchi, Kenneth K et al. (2014) Identification and manipulation of biliary metaplasia in pancreatic tumors. Gastroenterology 146:233-44.e5|
|Li, Liang; Fridley, Brooke L; Kalari, Krishna et al. (2014) Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines. BMC Genomics 15:93|
|Halfdanarson, Thorvardur R; Bamlet, William R; McWilliams, Robert R et al. (2014) Risk factors for pancreatic neuroendocrine tumors: a clinic-based case-control study. Pancreas 43:1219-22|
|Mills, Lisa D; Zhang, Lizhi; Marler, Ronald et al. (2014) Inactivation of the transcription factor GLI1 accelerates pancreatic cancer progression. J Biol Chem 289:16516-25|
|Chini, Claudia C S; Guerrico, Anatilde M Gonzalez; Nin, Veronica et al. (2014) Targeting of NAD metabolism in pancreatic cancer cells: potential novel therapy for pancreatic tumors. Clin Cancer Res 20:120-30|
|Wu, Lang; Goldstein, Alisa M; Yu, Kai et al. (2014) Variants associated with susceptibility to pancreatic cancer and melanoma do not reciprocally affect risk. Cancer Epidemiol Biomarkers Prev 23:1121-4|
|Calvo, Ezequiel; Grzenda, Adrienne; Lomberk, Gwen et al. (2014) Single and combinatorial chromatin coupling events underlies the function of transcript factor Krüppel-like factor 11 in the regulation of gene networks. BMC Mol Biol 15:10|
|Urrutia, Raul; Velez, Gabriel; Lin, Marisa et al. (2014) Evidence supporting the existence of a NUPR1-like family of helix-loop-helix chromatin proteins related to, yet distinct from, AT hook-containing HMG proteins. J Mol Model 20:2357|
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