MicroRNA prognostic signature in neuroendocrine neoplasias (NENs) of lung and GEP origin: In silico analysis of target genes and pathways

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Introduction: Molecular knowledge of NENs has increased in the last years. Nevertheless, the lack of in vivo models makes it difficult to guide functional experiments to better understand the biological implications of described molecular alterations. In this context, and as miRNAs contribute to regulate gene expression, we performed an in silico analysis to explore target genes and involved pathways regulated by an 8-miRNA prognostic signature that we recently developed in NENs, that stratified patients in 3 prognostic groups (Espinosa-Olarte P et al, ESMO 2020).

Aim(s): To predict 8-miRNAs signature target genes and involved pathways by in silico analysis.

Materials and methods: An 8-miRNAs independent prognostic signature has previously been identified in a cohort of 86 NENs. We performed an in silico analysis of selected miRNAs using 3 public databases (DB) (TargetScan Release, miRDB and Diana-Tarbase) to predict their biological targets. The common genes in the 3 DB were analysed through cluster profiler R package using Hallmarks and KEGG gene set collections from MsigDB. Selected gene sets were those with FDR < 0,25.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author:

Authors: Espinosa Olarte P, Soldevilla B, Carretero-Puche C, Molina-Pinelo S, Robles C,

Keywords: neuroendocrine neoplasia, miRNAs, genes, pathways, prognosis,