Discovery of the breast cancer gene BASE using a molecular approach to enrich for genes encoding membrane and secreted proteins

  1. Kristi A. Egland*,
  2. James J. Vincent*,
  3. Robert Strausberg,
  4. Byungkook Lee*, and
  5. Ira Pastan*,
  1. *Laboratory of Molecular Biology and Cancer Genomics Office, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892
  1. Contributed by Ira Pastan

Abstract

To identify unknown membrane proteins that could be used as targets for breast and prostate cancer immunotherapies and secreted proteins to be used as diagnostic markers, a cDNA library was generated from membrane-associated polyribosomal RNA derived from four breast cancer cell lines, one normal breast cell line, and a prostate cancer cell line. The membrane-associated polyribosomal cDNA library was subtracted with RNA from normal brain, liver, lung, kidney, and muscle. Of the 15,581 clones sequenced from the subtracted cDNA library, sequences from 10,506 clones map to known genes, but 5,075 sequences, representing 3,181 unique transcripts, are not associated with known genes. As one example, we experimentally investigated expression of a previously uncharacterized breast cancer gene that encodes a secreted protein designated BASE (breast cancer and salivary gland expression). BASE is expressed in many breast cancers but not in essential normal tissues including the five organs used for subtraction. Further analysis of this library should yield additional gene products of use in the diagnosis or treatment of breast or prostate cancer.

Footnotes

  • To whom correspondence should be addressed at: Laboratory of Molecular Biology, 37 Convent Drive, Room 5106, National Cancer Institute, Bethesda, MD 20892. E-mail: pasta{at}helix.nih.gov.

  • Data deposition: The sequence reported in this paper has been deposited in the GenBank database (accession no. AY180924).

  • Abbreviations:
    MAPcL,
    membrane-associated polyribosomal cDNA library;
    BASE,
    breast cancer and salivary gland expression gene;
    dbEST,
    EST database;
    GO,
    Gene Ontology Consortium;
    ER,
    estrogen receptor;
    EEF1A1,
    eukaryotic elongation factor 1α1
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