Stroma-Based Prognosticators Incorporating Differences between African and European Americans

Abstract

Our objective is to identify and validate RNA prognosticators for prostate cancer in European Americans (EA) and African Americans (AA), and port these to DNA methylation and protein-based prognosticators, where possible. The unique aspect of this project is that it uses tumor-adjacent stroma as a source of markers, and uses standard Formalin-fixed Paraffin-embedded (FFPE) tissue, which is a challenge for molecular biology. In the first year we accumulated 70 AA prostatectomy samples, and matched them with 140 EA by Gleason Score, chemical relapse status, and approximate age. We generated both RNA and DNA from 40 AA and 70 EA samples. We can profile the higher quality and higher yield RNA and DNA samples by array card RT-PCR, and bisulfite sequencing, respectively. For the EA samples, we chose the better quality among more than one EA sample mapped to the same AA sample. Exploiting the recent three-fold reduction in the cost of sequencing per read, we developed sequencing methods to extract expression and DNA methylation information from samples in the bottom half of quality and yield, which would otherwise be lost to the study. Many of these samples are among the more important older samples and AA samples.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1034631

Entities

People

  • Dan Mercola
  • Michael Mcclelland
  • Mike Lilly

Organizations

  • University of California, Irvine

Tags

DTIC Thesaurus Topics

  • African Americans
  • Biology
  • Biomedical Research
  • Chemistry
  • Data Analysis
  • Department Of Defense
  • Genetic Structures
  • Institutional Review Board
  • Medical Personnel
  • Methylation
  • Minority Groups
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Proteins
  • Standards
  • Tissues

Readers

  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.