Joseph R. Nevins, Ph.D.
Barbara Levine Professor of Breast Cancer Genomics
Director, Center for Applied Genomics and Technology,
Duke Institute for Genome Sciences & Policy

Dr. Nevin’s research focuses on the mechanisms that regulate gene expression in the context of cell growth regulation and oncogenesis. In addition, he and colleagues have made use of DNA microarray analysis to develop gene expression profiles that classify and predict clinical outcomes in breast cancer, ovarian cancer, and other disease states.
link to full bio

Publications:
Zhu, W., Giangrande, P., and Nevins, J. R. (2004). E2Fs link the control
of G1/S and G2/M transcription. EMBO J. 23, 4615-4626.

Pittman, J., Huang, E., Dressman, H., Horng, C.-F., Cheng, S. H., Tsou,
M.-H., Chen, C.-M., Bild, A., Iversen, E. S., Huang, A. T., Nevins, J. R.,
and West, M. (2004). Integrated modeling of clinical and gene expression
information for personalized prediction of disease outcomes. Proc. Nat’l.
Acad. Sci. 101, 8431-8436.

Giangrande, P. H., Zhu, W., Schlisio, S., Sun, X., Mori, S., Gaubatz, S.,
and Nevins, J. R. (2004). A role for E2F6 in distinguishing G1/S and G2/M
specific transcription. Genes & Dev. 18, 2941-2951.

Huang, E., Ishida, S., Pittman, J., Dressman, H., Bild, A., Kloos, M.,
D’Amico, M., Pestell, R. G., West, M., and Nevins, J. R. (2003). Gene
expression phenotypic models that predict the activity of oncogenic
pathways. Nature Genet. 34, 226-230.

Huang, E., Cheng, S. H., Dressman, H., Pittman, J., Tsou, M.-H., Horng,
C.-F., Bild, A., Iversen, E. S., Liao, M., Chen, C.-M., West, M., Nevins,
J. R., and Huang, A. T. (2003). Gene expression predictors of breast
cancer outcomes. Lancet 361, 1590-1596.