Fusion Genes Predict Prostate Cancer Recurrence

Abstract

This Impact Award between the University of Pittsburgh, Stanford University and University of Wisconsin at Madison seeks to provide definitive clinical validation of low copy number transcript fusions as prognostic markers in clinically localized prostate cancer. The University of Wisconsin site is charged with providing formal in fixed paraffin embedded samples for independent validation of markers discovered at University of Pittsburgh. To that end, we have shipped 437 samples for assay testing and have accumulated over 750 FFPE blocks of radical prostatectomy specimens with detailed clinical follow-up. We are performing an update of the clinical follow-up on these patients to maximize length of clinical follow-up. The 3 centers have been communicating electronically and via phone conference. An in person meeting is planned in the spring to review data for the final report. The University of Pittsburgh has been addressing issues with assay artifacts. We will increase the number of samples accumulated to get to our goals. We will be sending specimens blinded to the recurrence data to the Pittsburgh site for the remaining sets. We have agreed to allow the Stanford and Wisconsin sites to receive data from Pittsburgh to perform correlation with clinical data and correlation with outcomes at the outside sites.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1094073

Entities

People

  • David F Jarrard

Organizations

  • University of Wisconsin System

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Alkanes
  • Biomedical Research
  • Data Sets
  • Department Of Defense
  • Discriminant Analysis
  • Institutional Review Board
  • Neoplasms
  • Predictive Modeling
  • Prostate
  • Prostate Cancer
  • Quality Control
  • Supervised Machine Learning
  • Tissues
  • Universities
  • Validation
  • Wisconsin

Readers

  • Academic Conference Management
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Microelectronics