Therapy Selection by Gene Profiling

Abstract

The long term goal of this work is to develop a new prognostic tool with which to determine the response of a patient to a given therapy, with the view of providing the most appropriate treatments tailored to individual patients. The central hypothesis of this proposal is that a subset of the genes expressed in a prostate tumor can be used to predict response to specific therapeutic regimens. The purpose of this work is to generate predictive methods which will allow patients to be selected for specific treatment protocols. This report summarizes the progress achieved towards the specific aims, the problems encountered, data sets generated and lessons learned from the work undertaken as a part of this grant.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2008
Accession Number
ADA491350

Entities

People

  • Simon W. Hayward

Organizations

  • Vanderbilt University

Tags

DTIC Thesaurus Topics

  • Biological Staining And Labeling
  • Biomedical Research
  • Cancer
  • Cells
  • Clinical Trials
  • Data Analysis
  • Data Mining
  • Data Sets
  • Department Of Defense
  • Gene Expression
  • High Gain
  • Medical Personnel
  • Microarray Analysis
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Tissues

Fields of Study

  • Medicine

Readers

  • Oncology
  • Technical Research and Report Writing.