A Novel Classification of Pancreatic Neuroendocrine Tumors (pNETs) Guided by Genomics Abstract #2281

Introduction: NET outcomes differ by primary site. Yet pNETs are classified using a generic GI grading system.
Aim(s): Genomics may assist prognostication of pNET behaviour in the clinic.
Materials and methods: We report deep genomic analysis of pNETs from 57 patients using a NimbleGen SeqCap comprehensive panel (n=578 genes) augmented with a custom NET–specific panel (n=57 genes) at ~780X coverage) and Affymetrix PrimeView RNA expression arrays (~36,000 transcripts). Bioinformatics were conducted using in-house pipelines customised for NETs.
Conference: 15th Annual ENETS conference (2018)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Dr Kate Parker

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