Epidermal Growth Factor (EGF) Receptor Intron 1 CA Repeat Polymorphisms in African-American and Caucasian Males: Influence on Prostate Cancer Risk or Disease Progression and Interaction with Androgen Receptor CAG Repeat Polymorphisms

Abstract

We are investigating the effect of polymorphic epidermal growth factor receptor (EGFR) gene intron 1 CA repeat on prostate cancer (Cap) development, alone or in combination with a known androgen receptor gene CAG repeat polymorphism. We will determine the lengths of these repeats in DNA from African-American and Caucasian men with CaP. The data will be analyzed for nay correlation using both parameters with clinical outcome (age of onset, rapid progression, or metastasis). A biostatistician has been recruited to the study and a new statistical analysis plan has been developed. The implementation' of the new HIPAA regulations by the Cooper Hospital/University Medical Center Institutional Review Board this year has resulted in additional delays in obtaining documentation required for the revised human subjects protocol. Thus, the Human Subjects Protocol has not yet been approved by the US Army Medical Research and Materiel Command Human Subjects Research Review Board (USAMRMC HSRRB). Since we have not been given%approval to initiate the study, there is no data to report. However, the current Human Subjects Protection Scientist at the DOD HSRRB has given verbal assurance that the HIPAA documentation was the last piece need for approval of the protocol, and we anticipate initiating the project very shortly.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA418677

Entities

People

  • David K. Moscatello

Organizations

  • Coriell Institute for Medical Research

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Cell Physiological Processes
  • Cells
  • Electronic Mail
  • Health Care
  • Health Services
  • Information Science
  • Institutional Review Board
  • Law
  • Medical Personnel
  • Neoplasms
  • Peptide Growth Factors
  • Prostate Cancer
  • Proteins
  • Statistical Analysis
  • Stem Cells

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