Validation of Biomarkers for Prostate Cancer Prognosis

Abstract

Our objective is to create a multi-institutional tissue microarray resource from radical prostatectomy samples with detailed clinical information and follow-up and rigorous casecohort design for use as a platform for validating tissue biomarkers of prognosis. In addition, we have proposed testing a series of biomarkers of prognosis and a set of biomarkers that correlate with Gleason Score. We have made significant progress over the past year. We have completed the tissue microarrays and finalized standard procedures for tissue microarray storage, sectioning and shipping. We have set up a structure for reviewing and approving biomarker proposals based on sound scientific principles and strong preliminary data. We have devised and tested a centralized distribution mechanism at Stanford University of collating and shipping TMAs to participating sites, We have found shortcomings with the BLISS system and STMAD for histological image capture and storage for pathological review and have developed a much improved, highly efficient system using a Leica scanner and PathXL image analysis software suite. We also have made significant progress in testing TACOMA, an automater TMA scoring algorithm. We have completed staining of the TMAs for H & E, High Molecular Weight Keratin, p27, ERG, SPKINK1, Ki67 (MIB1), MUC1, Survivin and PTEN FISH. Over the next year we will carry out more staining, complete refinements of the infrastructure, complete pathologic review of these and other biomarkers, evaluate concordance of scoring of immunohistochemical staining amongst study pathologists and report (publish) our findings.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA570054

Entities

People

  • James D Brooks
  • Ziding Feng

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Biological Staining And Labeling
  • Data Analysis
  • Diseases And Disorders
  • Infrastructure
  • Medical Personnel
  • Molecular Weight
  • Neoplasms
  • Physicians
  • Prostate
  • Prostate Cancer
  • Shipping
  • Standards
  • Statistical Analysis
  • Tissues
  • Universities
  • Validation

Readers

  • Oncology and Biomarker-Based Cancer Detection.