Predicting Prostate Cancer Progression At Time of Diagnosis

Abstract

The goal of this project is to develop a multi-source biomarker panel based on blood obtained prior to surgery and tumor tissue from men undergoing radical prostatectomy for clinically low risk prostate cancer with known pathologic out come information. In aim 1, the marker panel will be assessed for its ability to predict upgrading and upstaging between biopsy and pathology at prostatectomy. In Aim 2 we will assess the performance of a multi-source biomarker panel derived from blood, urine, and tissue among men accrued to an existing active surveillance cohort. In this aim, the marker panel will be tested for prediction of progression, specifically the extent to which the panel can add independent prognostic information to standard clinical variables. We have made progress toward the stated goals of the project over the past year. We have completed accession and processing of = 397 blood specimens from UCSF (Aim 1). Tissue analyses are ongoing for DNA and RNA assessments for UCSF patients. We are negotiating a regulatory issue for the Univ. of Washington specimens. Substantial quality of life surveys have been processed for Aim 2, and will be included in the multivariate analyses with the biomarkers. We look forward to completing our analyses and reporting results at the next year.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1022098

Entities

People

  • Peter R. Carroll

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • African Americans
  • Biological Markers
  • Data Science
  • Demographic Cohorts
  • Department Of Defense
  • Diseases And Disorders
  • Information Processing
  • Information Science
  • Neoplasms
  • Pathology
  • Prostate
  • Prostate Cancer
  • Quality Of Life
  • Regression Analysis
  • Surveillance
  • Surveys
  • Tissues

Fields of Study

  • Medicine

Readers

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