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. In this year, per our proposed schedule, we have continued to focus on acquisition of tissue samples and their grafting and treatment in SCID mouse hosts. We have now collected a total of 136 out of a required 150 human prostate cancer sample sets. We have tested and validated methods for amplifying RNA from human prostate tissues grafted to SCID mouse hosts and have run a series of experiments to optimize the microarray technology for these samples. This has included developmental in silico bioinformatics work to standardize the signal intensity between samples making comparisons meaningful. RNA has been prepared for amplification and microarray analysis of the first 136 samples is underway. The project is proceeding behind to its predicted timeline due to delays in collection of human tissues.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2005
- Accession Number
- ADA454306
Entities
People
- Simon W. Hayward
Organizations
- Vanderbilt University Medical Center