Identifying potential tumor markers and antigens by database mining and rapid expression screening.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Loging, WT; Lal, A; Siu, IM; Loney, TL; Wikstrand, CJ; Marra, MA; Prange, C; Bigner, DD; Strausberg, RL; Riggins, GJ

Published Date

  • September 2000

Published In

Volume / Issue

  • 10 / 9

Start / End Page

  • 1393 - 1402

PubMed ID

  • 10984457

Pubmed Central ID

  • 10984457

International Standard Serial Number (ISSN)

  • 1088-9051

Digital Object Identifier (DOI)

  • 10.1101/gr.138000

Language

  • eng

Conference Location

  • United States