A Paradigm for Biomarker Discovery Combining Expression Array Data Mining and Tissue-Based Validation
Calgranulin B expression was significantly associated with stage in ECA, lymph node metastases (LNM) in OCA, lymphovascular invasion (LVI) in PSCC (all p<0.05) and survival in CADC (log-rank p=0.0261, mean follow up 34 mo). CD138 expression was significantly associated with LVI in PADC, stage in PSCC, stage and LNM in PrCA (all p<0.05) and survival in PADC (log-rank p=0.001, mean follow up: 54 mo) and CADC (log-rank p=0.006). Lamin B expression was significantly associated with stage in PaCA, and stage, LVI, and LMN in PADC (all p<0.05) in which it was also associated with survival (log-rank p=0.003).
Conclusions: We demonstrate the use of internet-based gene expression analysis of published data and validation in tissue samples as approach to facilitate biomarker discovery. Using established and novel IHC markers, we found associations with tumor progression and survival for several tumors. We believe that pathologists are in a unique position to validate previously reported dysregulated genes in patient tissue thus allowing for streamlined biomarker discovery.
Category: Special Category for 2009 - Pan-genomic/Pan-proteomic approaches to Cancer
Tuesday, March 10, 2009 9:30 AM
Poster Session III # 229, Tuesday Morning