RT Journal
A1 Loging, W. Troy
A1 Lal, Anita
A1 Siu, I-Mei
A1 Loney, Tania L.
A1 Wikstrand, Carol J.
A1 Marra, Marco A.
A1 Prange, Christa
A1 Bigner, Darell D.
A1 Strausberg, Robert L.
A1 Riggins, Gregory J.
T1 Identifying Potential Tumor Markers and Antigens by Database Mining and Rapid Expression Screening
JF Genome Research 
JO Genome Research 
YR 2000 
FD September 01 
VO 10 
IS 9 
SP 1393 
OP 1402 
DO 10.1101/gr.138000 
UL http://genome.cshlp.org/content/10/9/1393.abstract 
AB 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.[The expression data described in this paper have been submitted to the NCBI SAGEmap database under library name SAGE_Duke_GBM_H1110, SAGE_pooled_GBM, SAGE_BB542_whitematter, and SAGE_normal_pool(6th).]