Genes Involved in Oxidation and Prostate Cancer Progression

Abstract

We are evaluating whether polymorphisms in genes involved in the genesis of oxidative species the detoxification of oxidative species or the repair of oxidative DNA damage influence the risk of prostate cancer progression in men with clinically organ-confined prostate cancer. We requested a no-cost extension through 01/15/2008 to complete the genotyping component of this work. During the past year we completed locating all but 4 of the 742 (number of unique samples 524 progressor-control pairs) archived prostate samples (unaffected lymph nodes removed at prostatectomy) which was the unanticipated rate limiting step for this project. We tested the amount of tissue needed and the methods of DNA extraction from the paraffin-embedded tissue that would produce a quantity and quality of DNA that was adequate for amplification by POR. For each subject we confirmed that the nodes did not contain cancer and we took 10 cores per block. DNA extraction has been completed for a third of the samples by Bioserve. We tested the ability of the Mass Array system to give accurate genotyping calls for these paraffin-embedded samples. The remaining steps are genotyping and statistical analysis. We generated a manuscript entitled `A Simulation Study of Control Sampling: Methods for Nested Case-Control Studies of Candidate Genes and Prostate Cancer Progression" that compares methods of control sampling for the type of progression study we are conducting to support that the approach we used yields the least biased effect estimates.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA463451

Entities

People

  • Elizabeth A Platz

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alkanes
  • Data Science
  • Disease Attributes
  • Diseases And Disorders
  • Environmental Health
  • Genetic Variation
  • Health Services
  • Information Science
  • Lymph Nodes
  • Lymphatic System
  • Neoplasms
  • Prostate
  • Prostate Cancer
  • Public Health
  • Simulations
  • Statistical Analysis
  • Statistics

Fields of Study

  • Biology

Readers

  • Clinical Trial Research.
  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.