Therapy Selection by Proteomic 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 proteins 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. In the current funding period we have completed the collection of human prostate cancer tissue, its grafting to mice and treatment of these mice with Taxotere. Tissues have been harvested and MALDI-MS profiles generated from both tumor epithelium and adjacent stroma. Efforts are currently underway to rigorously define and quantitate the response to Taxotere of the tissue samples, on an individual basis, prior to initiation of bioinformatic analysis of the mass spectrometry data sets. The project is proceeding behind its predicted timeline as outlined in the accepted statement of work and a no cost extension to complete the work has been requested.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2007
Accession Number
ADA470875

Entities

People

  • Simon W. Hayward

Organizations

  • Vanderbilt University Medical Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biological Staining And Labeling
  • Biomedical Research
  • Breast Cancer
  • Cell Physiological Processes
  • Cells
  • Clinical Trials
  • Data Analysis
  • Data Sets
  • Mass Spectrometry
  • Medical Personnel
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Proteins
  • Spectrometry
  • Statistical Analysis
  • Tissues

Fields of Study

  • Medicine

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech