Reconstructing the Prostate Cancer Transcriptional Regulatory Network

Abstract

This award has enabled the development of computational methods to analyze and integrate diverse prostate cancer genomic datasets. We have successfully applied our newly-developed methods to a prostate cancer dataset, resulting in the identification of genes that may play a causal role in prostate tumor metastasis. Our analysis of prostate tumor DNA copy number data has also uncovered a potentially novel tumor suppressor gene associated with clinically-indolent prostate cancer. This finding may represent a much-needed biomarker capable of distinguishing indolent versus aggressive disease, and may lead to novel strategies for patient management.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2010
Accession Number
ADA552450

Entities

People

  • Keyan Salari

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Carcinoma
  • Cells
  • Chemistry
  • Chromosomes
  • Computational Science
  • Dna Microarrays
  • Gene Expression
  • Genetics
  • Medical Personnel
  • Operating Systems
  • Stem Cells

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Neural Network Machine Learning.
  • Oncology and Biomarker-Based Cancer Detection.