J
Joseph R. Nevins
Researcher at Duke University
Publications - 261
Citations - 44398
Joseph R. Nevins is an academic researcher from Duke University. The author has contributed to research in topics: E2F & Transcription factor. The author has an hindex of 105, co-authored 261 publications receiving 42988 citations. Previous affiliations of Joseph R. Nevins include Thomas Jefferson University & Durham University.
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Journal ArticleDOI
Oncogenic pathway signatures in human cancers as a guide to targeted therapies.
Andrea Bild,Guang Yao,Jeffrey T. Chang,Quanli Wang,Anil Potti,Dawn Chasse,Mary Beth Joshi,David H. Harpole,Johnathan M. Lancaster,Andrew Berchuck,John A. Olson,Jeffrey R. Marks,Holly K. Dressman,Mike West,Joseph R. Nevins +14 more
TL;DR: It is shown that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways and linked with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogens pathway signatures to guide the use of targeted therapeutics.
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E2F: a link between the Rb tumor suppressor protein and viral oncoproteins
TL;DR: The cellular transcription factor E2F, previously identified as a component of early adenovirus transcription, has been shown to be important in cell proliferation control and appears to be a functional target for the action of the tumor suppressor protein Rb that is encoded by the retinoblastoma susceptibility gene.
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The E2F transcription factor is a cellular target for the RB protein.
Srikumar Chellappan,Srikumar Chellappan,Scott W. Hiebert,Scott W. Hiebert,Maria Mudryj,Maria Mudryj,Jonathan M. Horowitz,Joseph R. Nevins,Joseph R. Nevins +8 more
TL;DR: The results suggest that the interaction of RB with E2F is an important event in the control of cellular proliferation and that the dissociation of the complex is part of the mechanism by which E1A inactivates RB function.
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Predicting the clinical status of human breast cancer by using gene expression profiles.
Mike West,Carrie Blanchette,Holly K. Dressman,Erich Huang,Seiichi Ishida,Rainer Spang,Harry Zuzan,John A. Olson,Jeffrey R. Marks,Joseph R. Nevins +9 more
TL;DR: Bayesian regression models that provide predictive capability based on gene expression data derived from DNA microarray analysis of a series of primary breast cancer samples are developed and the utility and validity of such models in predicting the status of tumors in crossvalidation determinations are assessed.
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Multiple Ras-dependent phosphorylation pathways regulate Myc protein stability
TL;DR: A synergistic role for multiple Ras-mediated phosphorylation pathways in the control of Myc protein accumulation during the initial stage of cell proliferation is defined.