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DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors
microRNAs are involved in pathogenesis of cancer. DNA methylation plays a role in transcription of miRNA-encoding genes and may contribute to changed miRNA expression in tumors. This issue was not investigated in pituitary neuroendocrine tumors (PitNETs) previously. DNA methylation patterns, assesse...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281098/ https://www.ncbi.nlm.nih.gov/pubmed/32413978 http://dx.doi.org/10.3390/life10050059 |
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author | Boresowicz, Joanna Kober, Paulina Rusetska, Natalia Maksymowicz, Maria Paziewska, Agnieszka Dąbrowska, Michalina Zeber-Lubecka, Natalia Kunicki, Jacek Bonicki, Wiesław Ostrowski, Jerzy Siedlecki, Janusz A. Bujko, Mateusz |
author_facet | Boresowicz, Joanna Kober, Paulina Rusetska, Natalia Maksymowicz, Maria Paziewska, Agnieszka Dąbrowska, Michalina Zeber-Lubecka, Natalia Kunicki, Jacek Bonicki, Wiesław Ostrowski, Jerzy Siedlecki, Janusz A. Bujko, Mateusz |
author_sort | Boresowicz, Joanna |
collection | PubMed |
description | microRNAs are involved in pathogenesis of cancer. DNA methylation plays a role in transcription of miRNA-encoding genes and may contribute to changed miRNA expression in tumors. This issue was not investigated in pituitary neuroendocrine tumors (PitNETs) previously. DNA methylation patterns, assessed with HumanMethylation450K arrays in 34 PitNETs and five normal pituitaries, were used to determine differentially methylated CpGs located at miRNA genes. It showed aberrant methylation in regions encoding for 131 miRNAs. DNA methylation data and matched miRNA expression profiles, determined with next-generation sequencing (NGS) of small RNAs, were correlated in 15 PitNETs. This showed relationship between methylation and expression levels for 12 miRNAs. DNA methylation and expression levels of three of them (MIR145, MIR21, and MIR184) were determined in the independent group of 80 tumors with pyrosequencing and qRT-PCR and results confirmed both aberrant methylation in PitNETs and correlation between methylation and expression. Additionally, in silico target prediction was combined with analysis of established miRNA profiles and matched mRNA expression pattern, assessed with amplicon-based NGS to indicate putative target genes of epigenetically deregulated miRNAs. This study reveals aberrant DNA methylation in miRNA-encoding genes in gonadotroph PitNETs. Methylation changes affect expression level of miRNAs that regulate putative target genes with tumorigenesis-relevant functions. |
format | Online Article Text |
id | pubmed-7281098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72810982020-06-15 DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors Boresowicz, Joanna Kober, Paulina Rusetska, Natalia Maksymowicz, Maria Paziewska, Agnieszka Dąbrowska, Michalina Zeber-Lubecka, Natalia Kunicki, Jacek Bonicki, Wiesław Ostrowski, Jerzy Siedlecki, Janusz A. Bujko, Mateusz Life (Basel) Article microRNAs are involved in pathogenesis of cancer. DNA methylation plays a role in transcription of miRNA-encoding genes and may contribute to changed miRNA expression in tumors. This issue was not investigated in pituitary neuroendocrine tumors (PitNETs) previously. DNA methylation patterns, assessed with HumanMethylation450K arrays in 34 PitNETs and five normal pituitaries, were used to determine differentially methylated CpGs located at miRNA genes. It showed aberrant methylation in regions encoding for 131 miRNAs. DNA methylation data and matched miRNA expression profiles, determined with next-generation sequencing (NGS) of small RNAs, were correlated in 15 PitNETs. This showed relationship between methylation and expression levels for 12 miRNAs. DNA methylation and expression levels of three of them (MIR145, MIR21, and MIR184) were determined in the independent group of 80 tumors with pyrosequencing and qRT-PCR and results confirmed both aberrant methylation in PitNETs and correlation between methylation and expression. Additionally, in silico target prediction was combined with analysis of established miRNA profiles and matched mRNA expression pattern, assessed with amplicon-based NGS to indicate putative target genes of epigenetically deregulated miRNAs. This study reveals aberrant DNA methylation in miRNA-encoding genes in gonadotroph PitNETs. Methylation changes affect expression level of miRNAs that regulate putative target genes with tumorigenesis-relevant functions. MDPI 2020-05-13 /pmc/articles/PMC7281098/ /pubmed/32413978 http://dx.doi.org/10.3390/life10050059 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Boresowicz, Joanna Kober, Paulina Rusetska, Natalia Maksymowicz, Maria Paziewska, Agnieszka Dąbrowska, Michalina Zeber-Lubecka, Natalia Kunicki, Jacek Bonicki, Wiesław Ostrowski, Jerzy Siedlecki, Janusz A. Bujko, Mateusz DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title | DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title_full | DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title_fullStr | DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title_full_unstemmed | DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title_short | DNA Methylation Influences miRNA Expression in Gonadotroph Pituitary Tumors |
title_sort | dna methylation influences mirna expression in gonadotroph pituitary tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281098/ https://www.ncbi.nlm.nih.gov/pubmed/32413978 http://dx.doi.org/10.3390/life10050059 |
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