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MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms

Authors :
Beatriz Soldevilla
Alberto Lens‐Pardo
Paula Espinosa‐Olarte
Carlos Carretero‐Puche
Sonia Molina‐Pinelo
Carlos Robles
Marta Benavent
Lourdes Gomez‐Izquierdo
Marta Fierro‐Fernández
Patricia Morales‐Burgo
Paula Jimenez‐Fonseca
Beatriz Anton‐Pascual
Yolanda Rodriguez‐Gil
Ana Teijo‐Quintans
Anna La Salvia
Beatriz Rubio‐Cuesta
Maria C. Riesco‐Martínez
Rocio Garcia‐Carbonero
Source :
Molecular Oncology, Vol 17, Iss 4, Pp 582-597 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Neuroendocrine neoplasms (NENs) are mutationally quiet (low number of mutations/Mb), and epigenetic mechanisms drive their development and progression. We aimed at comprehensively characterising the microRNA (miRNA) profile of NENs, and exploring downstream targets and their epigenetic modulation. In total, 84 cancer‐related miRNAs were analysed in 85 NEN samples from lung and gastroenteropancreatic (GEP) origin, and their prognostic value was evaluated by univariate and multivariate models. Transcriptomics (N = 63) and methylomics (N = 30) were performed to predict miRNA target genes, signalling pathways and regulatory CpG sites. Findings were validated in The Cancer Genome Atlas cohorts and in NEN cell lines. We identified a signature of eight miRNAs that stratified patients in three prognostic groups (5‐year survival of 80%, 66% and 36%). Expression of the eight‐miRNA gene signature correlated with 71 target genes involved in PI3K–Akt and TNFα–NF‐kB signalling. Of these, 28 were associated with survival and validated in silico and in vitro. Finally, we identified five CpG sites involved in the epigenetic regulation of these eight miRNAs. In brief, we identified an 8‐miRNA signature able to predict survival of patients with GEP and lung NENs, and identified genes and regulatory mechanisms driving prognosis in NEN patients.

Details

Language :
English
ISSN :
18780261 and 15747891
Volume :
17
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Molecular Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.96f622ea83a04182b9b9cbef9fb1d2ac
Document Type :
article
Full Text :
https://doi.org/10.1002/1878-0261.13393