The Clinical Utility of Blood Derived Gene Cluster Analysis of Neuroendocrine Tumors Using Neoplasia Hallmark Criteria Abstract #1222

Introduction: We developed a multianalyte blood (51 transcript) assay (MAAA) for GEP-NETs with a sensitivity (98%) and specificity (97%).
Aim(s): Examine tissue expression levels to define, by cluster analysis, the biological “hallmarks” of NET neoplasia and clinical utility.
Materials and methods: Group 1: Expression in 2 NET transcriptome databases ( n=15) assessed by GeneProfiler and by PCR (tissue with matched blood: n=24). Group 2 (n=138): stable disease (SD): n=94; progressive disease (PD): n=44. Validation Groups: surgical resection (n=27) and SSA treatment (n=35). Regulatory network analysis, PCA, and ROC were used to delineate and evaluate neoplasia “hallmarks”.
Conference: 12th Annual ENETS Conference (2015)
Category: Biomarkers
Presenting Author: Professor Mark Kidd
Keywords: PCR

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