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MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms
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. I...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061291/ https://www.ncbi.nlm.nih.gov/pubmed/36795001 http://dx.doi.org/10.1002/1878-0261.13393 |
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author | Soldevilla, Beatriz Lens‐Pardo, Alberto Espinosa‐Olarte, Paula Carretero‐Puche, Carlos Molina‐Pinelo, Sonia Robles, Carlos Benavent, Marta Gomez‐Izquierdo, Lourdes Fierro‐Fernández, Marta Morales‐Burgo, Patricia Jimenez‐Fonseca, Paula Anton‐Pascual, Beatriz Rodriguez‐Gil, Yolanda Teijo‐Quintans, Ana La Salvia, Anna Rubio‐Cuesta, Beatriz Riesco‐Martínez, Maria C. Garcia‐Carbonero, Rocio |
author_facet | Soldevilla, Beatriz Lens‐Pardo, Alberto Espinosa‐Olarte, Paula Carretero‐Puche, Carlos Molina‐Pinelo, Sonia Robles, Carlos Benavent, Marta Gomez‐Izquierdo, Lourdes Fierro‐Fernández, Marta Morales‐Burgo, Patricia Jimenez‐Fonseca, Paula Anton‐Pascual, Beatriz Rodriguez‐Gil, Yolanda Teijo‐Quintans, Ana La Salvia, Anna Rubio‐Cuesta, Beatriz Riesco‐Martínez, Maria C. Garcia‐Carbonero, Rocio |
author_sort | Soldevilla, Beatriz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10061291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100612912023-03-31 MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms Soldevilla, Beatriz Lens‐Pardo, Alberto Espinosa‐Olarte, Paula Carretero‐Puche, Carlos Molina‐Pinelo, Sonia Robles, Carlos Benavent, Marta Gomez‐Izquierdo, Lourdes Fierro‐Fernández, Marta Morales‐Burgo, Patricia Jimenez‐Fonseca, Paula Anton‐Pascual, Beatriz Rodriguez‐Gil, Yolanda Teijo‐Quintans, Ana La Salvia, Anna Rubio‐Cuesta, Beatriz Riesco‐Martínez, Maria C. Garcia‐Carbonero, Rocio Mol Oncol Research Articles 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. John Wiley and Sons Inc. 2023-03-05 /pmc/articles/PMC10061291/ /pubmed/36795001 http://dx.doi.org/10.1002/1878-0261.13393 Text en © 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Soldevilla, Beatriz Lens‐Pardo, Alberto Espinosa‐Olarte, Paula Carretero‐Puche, Carlos Molina‐Pinelo, Sonia Robles, Carlos Benavent, Marta Gomez‐Izquierdo, Lourdes Fierro‐Fernández, Marta Morales‐Burgo, Patricia Jimenez‐Fonseca, Paula Anton‐Pascual, Beatriz Rodriguez‐Gil, Yolanda Teijo‐Quintans, Ana La Salvia, Anna Rubio‐Cuesta, Beatriz Riesco‐Martínez, Maria C. Garcia‐Carbonero, Rocio MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title | MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title_full | MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title_fullStr | MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title_full_unstemmed | MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title_short | MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
title_sort | microrna signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061291/ https://www.ncbi.nlm.nih.gov/pubmed/36795001 http://dx.doi.org/10.1002/1878-0261.13393 |
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