Molecular Heterogeneity in Primary and Metastatic Prostate Tumor Tissue

Abstract

The overarching goal of the grant is to characterize molecular heterogeneity in multi-focal and metastatic prostate cancer. Aim 1 focuses on a 4-gene signature of prostate cancer prognosis, and whether the signature differs across within-patient tumor nodules. Aim 2 compares gene expression profiles between primary and lymph node metastases in order to identify genes involved in metastatic progression of prostate cancer. Scope: In year 1, Dr. Kasperzyk has received IRB approval, completed a series of courses to augment her expertise in prostate cancer epidemiology, has coordinated meetings to discuss the study progress with collaborators, and has begun specimen and data collection for the proposed work. In the upcoming year 2, Dr. Kasperzyk will complete data collection, lead the statistical analyses, and publish the findings in peer-reviewed journals. Major Findings: To date, the proposed biomarkers are in the process of being measured. In a related analysis of tumor expression of prostate-specific membrane antigen (PSMA) and prostate cancer-specific mortality, Kasperzyk et al. found that PSMA was positively correlated with Gleason score and tumor angiogenesis, but was not an independent predictor of prostate cancer survival (Cancer Epidemiol Biomarkers Prev, in press). Significance: The clinical significance of the project is to better characterize putative prognostic markers for prostate cancer, as well as identify potential therapeutic targets for secondary prevention.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA591494

Entities

People

  • Julie Kasperzyk

Organizations

  • Harvard College

Tags

DTIC Thesaurus Topics

  • Angiogenesis
  • Blood Vessels
  • Carcinoma
  • Cardiovascular Diseases
  • Cell Physiological Processes
  • Data Science
  • Diseases And Disorders
  • Epidemiology
  • Health
  • Health Services
  • Information Science
  • Institutional Review Board
  • Lymph Nodes
  • Medical Personnel
  • Neoplasms
  • Public Health
  • Statistical Analysis

Readers

  • Clinical Trial Research.
  • Oncology
  • Oncology and Biomarker-Based Cancer Detection.