Identifying potential tumor markers and antigens by database mining and rapid expression screening [5]

W. Troy Loging, Anita Lal, I. Mei Siu, Tania L. Loney, Carol J. Wikstrand, Marco A. Marra, Christa Prange, Darell D. Bigner, Robert L. Strausberg, Gregory J. Riggins

Research output: Contribution to journalLetterpeer-review

Abstract

Genes expressed specifically in malignant tissue may have potential as therapeutic targets but have been difficult to locate for most cancers. The information hidden within certain public databases can reveal RNA transcripts specifically expressed in transformed tissue. To be useful, database information must be verified and a more complete pattern of tissue expression must be demonstrated. We tested database mining plus rapid screening by fluorescent-PCR expression comparison (F-PEC) as an approach to locate candidate brain tumor antigens. Cancer Genome Anatomy Project (CGAP) data was mined for genes highly expressed in glioblastoma multiforme. From 13 mined genes, seven showed potential as possible tumor markers or antigens as determined by further expression profiling. Now that large-scale expression information is readily available for many of the commonly occurring cancers, other candidate tumor markers or antigens could be located and evaluated with this approach.

Original languageEnglish (US)
Pages (from-to)1393-1402
Number of pages10
JournalGenome research
Volume10
Issue number9
DOIs
StatePublished - 2000

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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