Predicting Bone Metastatic Potential of Prostate Cancer via Computational Modeling of TGF-Beta Signaling

Abstract

This hypothesis generation project involved the development of a computational model of the TGF-beta signaling pathway and investigating whether such a model can be used to generate hypotheses regarding metastatic potential of prostate cancer (PCa). The primary deliverable of the investigation is a comprehensive quantitative model of TGF-beta signaling that is representative of a wide variety of experimental data collected in different labs worldwide; the primary outcome is the following set of related conclusions: (i) it is possible to use such a model to predict metastatic potential of PCa,; but (ii) to do so appropriately requires a deeper quantitative understanding of the role of TGF- as a regulator of prostate gland function; and in this regard, (iii) that the primary role of TGF- as a tumor suppressor may still be intact so that the observed over-expression in poor prognosis PCa patients is due to changes in the PCa cells and not in the ligand.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2008
Accession Number
ADA485725

Entities

People

  • Baratunde Ogunnaike
  • Carlton R. Cooper

Organizations

  • University of Delaware

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Cellular Structures
  • Chemical Reactions
  • Chemistry
  • Data Sets
  • Dynamics
  • Enzyme Inhibitors
  • Epithelial Cells
  • Experimental Data
  • Mathematical Models
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Proteins

Readers

  • Computational Fluid Dynamics (CFD)
  • Oncology (Cancer Research).