title: Predicting node positivity in gastric cancer from gene expression profiles.
abstract: Lymphovascular invasion (LVI) in gastric cancer is readily demonstrated pre-operatively by mucosal biopsy during endoscopy, which can also provide samples for gene expression profiling. We have examined gene expression associated with lymphovascular invasion in a cohort of gastric cancer patients and have developed a 28-gene predictor of tumor aggressiveness for forecasting risk of node positivity (N+), which could potentially be useful pre-operatively. The resulting model's ranking of increasing tumor aggressiveness correlated positively with N+ status, reaching statistical significance, and was three times the correlation of LVI with N+ status.
authors.affiliation: Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada. korenber@queensu.ca
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Korenberg
authors.forename: Bryan J
authors.initials: BJ
authors.lastname: Dicken
authors.forename: Sambasivarao
authors.initials: S
authors.lastname: Damaraju
authors.forename: Kathryn
authors.initials: K
authors.lastname: Graham
authors.forename: Carol E
authors.initials: CE
authors.lastname: Cass
mesh_terms: D014408:Biomarkers, Tumor; D020869:Gene Expression Profiling; D006801:Humans; D008198:Lymph Nodes / Q000473:pathology*; D011237:Predictive Value of Tests; D013274:Stomach Neoplasms / Q000175:diagnosis*
chemical_list: D014408:Biomarkers, Tumor