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Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients
Ovarian cancer is one of the most common cancer types in women characterized by a high mortality rate due to lack of early diagnosis. Circulating miRNAs besides being important regulators of cancer development could be potential biomarkers to aid diagnosis. We performed the circulating miRNA express...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769773/ https://www.ncbi.nlm.nih.gov/pubmed/31540229 http://dx.doi.org/10.3390/ijms20184533 |
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author | Penyige, András Márton, Éva Soltész, Beáta Szilágyi-Bónizs, Melinda Póka, Róbert Lukács, János Széles, Lajos Nagy, Bálint |
author_facet | Penyige, András Márton, Éva Soltész, Beáta Szilágyi-Bónizs, Melinda Póka, Róbert Lukács, János Széles, Lajos Nagy, Bálint |
author_sort | Penyige, András |
collection | PubMed |
description | Ovarian cancer is one of the most common cancer types in women characterized by a high mortality rate due to lack of early diagnosis. Circulating miRNAs besides being important regulators of cancer development could be potential biomarkers to aid diagnosis. We performed the circulating miRNA expression analysis in plasma samples obtained from ovarian cancer patients stratified into FIGO I, FIGO III, and FIGO IV stages and from healthy females using the NanoString quantitative assay. Forty-five miRNAs were differentially expressed, out of these 17 miRNAs showed significantly different expression between controls and patients, 28 were expressed only in patients, among them 19 were expressed only in FIGO I patients. Differentially expressed miRNAs were ranked by the network-based analysis to assess their importance. Target genes of the differentially expressed miRNAs were identified then functional annotation of the target genes by the GO and KEGG-based enrichment analysis was carried out. A general and an ovary-specific protein–protein interaction network was constructed from target genes. Results of our network and the functional enrichment analysis suggest that besides HSP90AA1, MYC, SP1, BRCA1, RB1, CFTR, STAT3, E2F1, ERBB2, EZH2, and MET genes, additional genes which are enriched in cell cycle regulation, FOXO, TP53, PI-3AKT, AMPK, TGFβ, ERBB signaling pathways and in the regulation of gene expression, proliferation, cellular response to hypoxia, and negative regulation of the apoptotic process, the GO terms have central importance in ovarian cancer development. The aberrantly expressed miRNAs might be considered as potential biomarkers for the diagnosis of ovarian cancer after validation of these results in a larger cohort of ovarian cancer patients. |
format | Online Article Text |
id | pubmed-6769773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67697732019-10-30 Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients Penyige, András Márton, Éva Soltész, Beáta Szilágyi-Bónizs, Melinda Póka, Róbert Lukács, János Széles, Lajos Nagy, Bálint Int J Mol Sci Article Ovarian cancer is one of the most common cancer types in women characterized by a high mortality rate due to lack of early diagnosis. Circulating miRNAs besides being important regulators of cancer development could be potential biomarkers to aid diagnosis. We performed the circulating miRNA expression analysis in plasma samples obtained from ovarian cancer patients stratified into FIGO I, FIGO III, and FIGO IV stages and from healthy females using the NanoString quantitative assay. Forty-five miRNAs were differentially expressed, out of these 17 miRNAs showed significantly different expression between controls and patients, 28 were expressed only in patients, among them 19 were expressed only in FIGO I patients. Differentially expressed miRNAs were ranked by the network-based analysis to assess their importance. Target genes of the differentially expressed miRNAs were identified then functional annotation of the target genes by the GO and KEGG-based enrichment analysis was carried out. A general and an ovary-specific protein–protein interaction network was constructed from target genes. Results of our network and the functional enrichment analysis suggest that besides HSP90AA1, MYC, SP1, BRCA1, RB1, CFTR, STAT3, E2F1, ERBB2, EZH2, and MET genes, additional genes which are enriched in cell cycle regulation, FOXO, TP53, PI-3AKT, AMPK, TGFβ, ERBB signaling pathways and in the regulation of gene expression, proliferation, cellular response to hypoxia, and negative regulation of the apoptotic process, the GO terms have central importance in ovarian cancer development. The aberrantly expressed miRNAs might be considered as potential biomarkers for the diagnosis of ovarian cancer after validation of these results in a larger cohort of ovarian cancer patients. MDPI 2019-09-13 /pmc/articles/PMC6769773/ /pubmed/31540229 http://dx.doi.org/10.3390/ijms20184533 Text en © 2019 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 Penyige, András Márton, Éva Soltész, Beáta Szilágyi-Bónizs, Melinda Póka, Róbert Lukács, János Széles, Lajos Nagy, Bálint Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title | Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title_full | Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title_fullStr | Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title_full_unstemmed | Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title_short | Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients |
title_sort | circulating mirna profiling in plasma samples of ovarian cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769773/ https://www.ncbi.nlm.nih.gov/pubmed/31540229 http://dx.doi.org/10.3390/ijms20184533 |
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