Identification of putative master regulators in pancreatic neuroendocrine tumours using gene expression data and network inference

#4629

Introduction: Pancreatic neuroendocrine tumours (pNETs) are a heterogenous group of pancreatic malignancies with a unique biology and pathophysiology. Tumour grade and extension are commonly used for prognostic determination. Current pathologic grading system needs regular updates to refine prognostic classification. Genomic screening may provide more objective classes and reflect tumour biology.

Aim(s): We aim at characterising transcription factors (TFs) that are master regulators in pNETs and could potentially explain phenotypic features.

Materials and methods: A retrospective series of 63 primary and surgically resected pNETs were assessed for transcriptome profiling. We used h-LICORN to infer a gene regulatory network (GRN) from the transcriptomes with a curated list of regulators composed of transcription factors (TFs) and co-factors (co-TFs).

Conference:

Presenting Author: Jannin A

Authors: Jannin A, Elati M, Do Cao C, Figeac M, Leteurtre E,

Keywords: pancreatic neuroendocrine tumour, RNA-Seq, Master regulators, MEN1,