Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Penyige, András, Márton, Éva, Soltész, Beáta, Szilágyi-Bónizs, Melinda, Póka, Róbert, Lukács, János, Széles, Lajos, Nagy, Bálint
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783455316101300224
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
work_keys_str_mv AT penyigeandras circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT martoneva circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT solteszbeata circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT szilagyibonizsmelinda circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT pokarobert circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT lukacsjanos circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT szeleslajos circulatingmirnaprofilinginplasmasamplesofovariancancerpatients
AT nagybalint circulatingmirnaprofilinginplasmasamplesofovariancancerpatients