Developing a strong educational component for our CCSB is a timely enterprise because GUMC has moved significantly in the direction of extending research and education in systems biology across our entire campus. We already offer multiple programs immediately relevant to the educational and training goals of this CCSB. Several of these activities occur within an interdisciplinary MS degree in Tumor Biology (directed by Dr. Hilakivi-Clarke, Project 3), a NCI-funded training grant in Tumor Biology for graduate and postdoctoral fellows (T32-CA009686), and a funded collaborative education program in cancer biology, prevention, and control with the University of the District of Columbia, a Historically Black University (U56-CA101429). We will also collaborate with other CCSBs to extend educational activities directed specifically to CCSB members and the Georgetown University/VA Tech/FCCC communities, and to those targeted across the ICBP program and the broader scientific community. The educational, training, and outreach activities in this CCSB will be developed, led, and delivered by acknowledged experts in the fields of cancer systems biology, bioinformatics, and computational modeling at Georgetown University and Virginia Tech. This highly integrated group of faculty, their backgrounds, training, ongoing research, and educational activities establish their collective ability to complete the activities we propose here.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center--Cooperative Agreements (U54)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-SRLB-C)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Georgetown University
United States
Zip Code
Little, J L; Serzhanova, V; Izumchenko, E et al. (2014) A requirement for Nedd9 in luminal progenitor cells prior to mammary tumorigenesis in MMTV-HER2/ErbB2 mice. Oncogene 33:411-20
Chen, Chun; Baumann, William T; Xing, Jianhua et al. (2014) Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer. J R Soc Interface 11:20140206
Hatzis, Christos; Bedard, Philippe L; Birkbak, Nicolai J et al. (2014) Enhancing reproducibility in cancer drug screening: how do we move forward? Cancer Res 74:4016-23
Tian, Ye; Zhang, Bai; Hoffman, Eric P et al. (2014) Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks. BMC Syst Biol 8:87
Chen, Li; Choyke, Peter L; Wang, Niya et al. (2014) Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics. PLoS One 9:e112143
Cook, Katherine L; Wärri, Anni; Soto-Pantoja, David R et al. (2014) Hydroxychloroquine inhibits autophagy to potentiate antiestrogen responsiveness in ER+ breast cancer. Clin Cancer Res 20:3222-32
Xiao, Junfeng; Zhao, Yi; Varghese, Rency S et al. (2014) Evaluation of metabolite biomarkers for hepatocellular carcinoma through stratified analysis by gender, race, and alcoholic cirrhosis. Cancer Epidemiol Biomarkers Prev 23:64-72
Gu, Jinghua; Wang, Xiao; Halakivi-Clarke, Leena et al. (2014) BADGE: a novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data. BMC Bioinformatics 15 Suppl 9:S6
Liu, Hanqing; Beck, Tim N; Golemis, Erica A et al. (2014) Integrating in silico resources to map a signaling network. Methods Mol Biol 1101:197-245
Heckler, Mary M; Thakor, Hemang; Schafer, Cara C et al. (2014) ERK/MAPK regulates ERR? expression, transcriptional activity and receptor-mediated tamoxifen resistance in ER+ breast cancer. FEBS J 281:2431-42

Showing the most recent 10 out of 36 publications