Realizing the Translational Potential of Telomere Length Variation as a Tissue-Based Prognostic Marker for Prostate Cancer

Abstract

We are testing, in prospective studies from Hopkins (Brady) and Harvard (PHS, HPFS), whether the combination of telomere length variability in prostate cancer cells and short telomere length in cancer-associated stromal cells is an independent prognostic indicator of poor prostate cancer outcome. We will automate the method for measuring telomere length and find optimal prognostic cutpoints. In Year 1, Hopkins purchased a state-of-the art fluorescence slide scanner and associated image analysis software using donor funds. We will use this scanner/software in place of older technology at Harvard. Given the technology change, we held 2 in-person meetings to map out a new strategy for the work. We felt it was prudent to delay starting the project while installing the scanner and training the team to use the scanner/software for telomere length determination in individual cells. We requested sections from an HPFS test TMA for optimizing the automated method and comparing the automated and manual methods. The 16 Brady TMAs were sectioned/mounted for FISH staining. We requested sections from the 6 PHS and 3 new HPFS TMAs. While delayed, the newer technology will help us best achieve the aims of this project.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA598709

Entities

People

  • Elizabeth A Platz

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Biological Markers
  • Biological Staining And Labeling
  • Biomedical Research
  • Cancer
  • Cells
  • Chromosome Structures
  • Department Of Defense
  • Digital Images
  • Fluorescence
  • Health
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Public Health
  • Statistical Analysis
  • Stromal Cells
  • Tissues

Readers

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  • Oncology and Biomarker-Based Cancer Detection.
  • Research Science/Academic Research