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

Author:

Soldevilla Beatriz123ORCID,Lens‐Pardo Alberto12ORCID,Espinosa‐Olarte Paula14,Carretero‐Puche Carlos12,Molina‐Pinelo Sonia56,Robles Carlos5,Benavent Marta5,Gomez‐Izquierdo Lourdes5,Fierro‐Fernández Marta7,Morales‐Burgo Patricia8,Jimenez‐Fonseca Paula8,Anton‐Pascual Beatriz14,Rodriguez‐Gil Yolanda9ORCID,Teijo‐Quintans Ana9ORCID,La Salvia Anna14,Rubio‐Cuesta Beatriz12,Riesco‐Martínez Maria C.124,Garcia‐Carbonero Rocio1243ORCID

Affiliation:

1. Centro de Oncología Experimental, Grupo de Investigación en Tumores Gastrointestinales y Neuroendocrinos Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12) Madrid Spain

2. Centro Nacional de Investigaciones Oncológicas (CNIO) Madrid Spain

3. Universidad Complutense de Madrid (UCM) Spain

4. Oncology Department Hospital Universitario 12 de Octubre Madrid Spain

5. Hospital Universitario Virgen del Rocío, IBIS Sevilla Spain

6. Instituto de Biomedicina de Sevilla (IBiS) (HUVR, CSIC, Universidad de Sevilla) Spain

7. Centro de Biología Molecular Severo Ochoa (CSIC‐UAM) Madrid Spain

8. Hospital Universitario Central de Asturias Oviedo Spain

9. Pathology Department Hospital 12 de Octubre Madrid Spain

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.

Funder

Consejería de Educación, Juventud y Deporte, Comunidad de Madrid

Fundación Científica Asociación Española Contra el Cáncer

Instituto de Salud Carlos III

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

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