Fusion Genes Predict Prostate Cancer Recurrence

Abstract

Most prostate are indolent, and may not require clinical intervention. Only a small fraction of cases progress to metastatic disease if not treated. Prediction of the clinical outcomes of prostate cancer remains a challenge. Recently, we discovered a panel of 8 fusion genes that occurred in aggressive prostate cancer. The presence of these fusion genes correlates 91 chance of recurrence of prostate cancer. In order to make the fusion gene test clinically ready as a predictor, we have modified to test into a semi-quantitative Taqman QRT-PCR. The tests were performed in CLIA certified lab. Four hundred and sixty samples of prostate cancers were collected. Prostate cancer cells were microdissected. Taqman QRT-PCRs were performed on these samples. Significant numbers of samples were found positive for some of these fusion genes. In addition, we have analyzed 150 samples from Stanford University and 155 samples from University of Wisconsin Madison. A training model has been constructed. We are in the process to apply the model to testing sets.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1095817

Entities

People

  • James D Brooks

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

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

Fields of Study

  • Biology
  • Physics

Readers

  • Oncology and Biomarker-Based Cancer Detection.