Identification of Two Candidate Tumor Suppressor Genes on Chromosome 17p13.3: Assessment of Their Roles in Breast and Ovarian Carcinogenesis

Abstract

OVCA1 and OVCA2 were first identified by us as candidate tumor suppressor genes, due to the fact that they map to a critical region of frequent allelic loss in breast and ovarian cancer at l7p13.3. Our studies have shown that OVCA1 is mutated in some tumor cell lines, and its protein levels are decreased or lost in nearly 40% of breast and ovarian adenocarcinomas, while OVCA2 appears to be unaffected. Expression of low levels of exogenous OVCA1 results in dramatic growth suppression and decreased levels of cyclin D1. We used a yeast-2-hybrid screen to identify OVCA1-associating proteins. One such protein, RBM8, was identified. Amino acid sequence indicates that RBM8 is a new member of an RNA-binding motif (RBM) family which is highly conserved evolutionarily. RBM8, also know as Y14 has been shown to be a shuttling protein that preferentially associates with spliced mRNA in the nucleus and remains associated with newly exported mRNA in the cytoplasm. Mutational analysis revealed no somatic mutations in ovarian tumor however, our current studies suggest that RBM8 is involved in mRNA export and that its levels may be significantly upregulated in most transformed cells. Overall, our studies indicate that altered expression and/or post-translational modifications of OVCA1 is associated with the development of breast and ovarian tumors and suggest a potentially new mechanism for the inactivation of tumor suppressors in cancer.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2001
Accession Number
ADB275131

Entities

People

  • Andrew K. Godwin

Organizations

  • Fox Chase Cancer Center

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Fungi
  • Genetic Structures
  • Genetics
  • Health Services
  • Medical Personnel
  • Oncology

Fields of Study

  • Biology

Readers

  • Molecular Genetics
  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.