An mRNA-based Classifier Identifies PanNETs with Different Clinicopathological Characteristics
Introduction: Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that varies from indolent to highly aggressive diseases. Previous studies have suggested alterations of ATRX/DAXX as biomarkers of dismal prognosis, yet inconclusive data (especially in the metastatic setting) prevent those biomarkers to be used as routine clinical tests.
Aim(s): We aimed at identifying mRNA-based prognostic classifier for PanNETs.
Materials and methods: We performed mRNA microarray expression analysis, high-coverage targeted DNA sequencing, and copy-number variation (CNV) analysis on 75 PanNETs. Principal component analysis (PCA) and gene set variation analysis (GSVA) were performed on mRNA data.
Conference: 17th Annual ENETSConcerence (2020)
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