The Biostatistics and Medical Informatics Core will be led by Drs. Alan Hutson and Carmelo Gaudioso. Dr. Hutson is Chair of Biostatistics and Bioinformatics at Roswell Park Cancer Institute (RPCI) and Chair of Biostatistics at the University at Buffalo (UB). He has two decades of experience in basic, translational and clinical experimental design and analysis. Dr. Gaudioso is the Director of Medical Informatics, Associate Director of the Clinical Data Network, and Assistant Professor of Oncology at RPCI. His research area is knowledge management and decision support systems. The Biostatistics and Medical Informatics Core will ensure that biostatistics, bioinformatics and medical informatics design and modeling support is available to all RPCI Prostate Cancer SPORE project leaders and core directors and their co-investigators. The Biostatistics and Medical Informatics Core is designed to provide statistical support that considers both institutional proximity and the biostatistical, bioinformatics and medical informatics needs of individual investigators. Specifically, we aim to: To assist basic, translational and clinical researchers of the RPCI Ovarian Cancer SPORE with proper formulation, refinement and execution of study objectives by applying the appropriate biostatistics and bioinformatics analyses, and providing the appropriate interpretation of their results, in terms of both strengths and limitations;To establish a robust data management system to effectively manage the Ovarian Cancer SPORE's informatics needs in supporting multidisciplinary, multi-project, multi-institutional clinical and translational research and facilitating data sharing and information dissemination;and To notify RPCI-UPCI Ovarian Cancer SPORE investigators when data are sufficiently mature to write a manuscript, to write the statistical methods section of manuscripts and to provide expert collaborative guidance in formulating the rest of the manuscript. It is anticipated that the services of the Biostatistics and Medical Informatics Core will be extensively used by all researchers associated with the SPORE. Benefits to the Biostatistics and Medical Informatics Core include providing a consistent team dedicated to efficient and effective collaboration. Benefits towards developing the Biostatistics and Medical Informatics Core include providing a consistent team dedicated to efficient collaboration across three comprehensive cancer centers.
of this application is to develop a biostatistical and informatics resource such that all RPCI-UPCI Ovarian SPORE projects are provided the highest level of biostatistics, bioinformatics and medical informatics support.
|Gil, Margaret; Komorowski, Marcin P; Seshadri, Mukund et al. (2014) CXCL12/CXCR4 blockade by oncolytic virotherapy inhibits ovarian cancer growth by decreasing immunosuppression and targeting cancer-initiating cells. J Immunol 193:5327-37|
|Eng, Kevin H; Ruggeri, Christina (2014) Connecting prognostic ligand receptor signaling loops in advanced ovarian cancer. PLoS One 9:e107193|
|Liao, Jianqun; Qian, Feng; Tchabo, Nana et al. (2014) Ovarian cancer spheroid cells with stem cell-like properties contribute to tumor generation, metastasis and chemotherapy resistance through hypoxia-resistant metabolism. PLoS One 9:e84941|
|Suryawanshi, Swati; Huang, Xin; Elishaev, Esther et al. (2014) Complement pathway is frequently altered in endometriosis and endometriosis-associated ovarian cancer. Clin Cancer Res 20:6163-74|
|Matsuzaki, Junko; Tsuji, Takemasa; Luescher, Immanuel et al. (2014) Nonclassical antigen-processing pathways are required for MHC class II-restricted direct tumor recognition by NY-ESO-1-specific CD4(+) T cells. Cancer Immunol Res 2:341-50|
|Daudi, Sayeema; Eng, Kevin H; Mhawech-Fauceglia, Paulette et al. (2014) Expression and immune responses to MAGE antigens predict survival in epithelial ovarian cancer. PLoS One 9:e104099|