FGF Signaling and Dietary Factors in the Prostate

Abstract

Purpose: To study the FGF signaling axis in prostate homeostasis and tumorigenesis, to evaluate dietary factors in modulating FGF signals in the prostate. Scope: to develop mouse models resembling human prostate tumor progressions for screening therapeutic strategies for prostate cancers and evaluating dietary factors in prostate cancer prevention. Major Finding: Ectopic expression of the constitutively-active GFGR1 (caGFGR1) in the prostate induces high-grade prostatic intraepithelial neoplasia (PIN) in transgenic mice. The development of PIN and degree of homeostasis perturbation in the prostate are caFGFR1 expression level-dependent. Repression of the resident FGFR2 in the prostate poentiated the lesions induced by the ectopic caGFGR1. Up-to-date Progress: The major findings are published in Cancer Research. We have established mouse colonies with prostate-specific disruption of Fgfr2 loci and expression of the ectopic caFGFR1 for further characterizations of the FCF signaling and dietary factors in prostate lesions. Significance: Together with previous data form the Dunning prostate tumor model, the findings demonstrate that aberrant FGF signals in the prostate strongly disrupt tissue homeostasis, and promote prostate tumor development and progression. - The model provides a useful tool for evaluating other tumor initiating factors, including those that cause genetic instability and other oncoqenic lesions in prostrate tumorigenesis.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA425856

Entities

People

  • Fen Wang

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Antigens
  • Biomedical Research
  • Cancer
  • Carcinoma
  • Cells
  • Chemistry
  • Gene Expression
  • Genetics
  • Genitalia
  • Health Services
  • Medical Personnel
  • Neoplasms
  • Prostate Cancer
  • Proteins
  • Stem Cells
  • Tissues

Fields of Study

  • Medicine

Readers

  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology