Cargando…
Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors
Epithelial ovarian cancers (EOCs) are a heterogeneous collection of malignancies, each with their own developmental origin, clinical behavior and molecular profile. With less than 5% of EOC cases, mucinous ovarian carcinoma is a rare form with a poor prognosis and a 5-year survival of 11% for advanc...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649586/ https://www.ncbi.nlm.nih.gov/pubmed/37958997 http://dx.doi.org/10.3390/ijms242116016 |
_version_ | 1785135586192916480 |
---|---|
author | Dolivet, Enora Gaichies, Léopold Jeanne, Corinne Bazille, Céline Briand, Mélanie Vernon, Mégane Giffard, Florence Leprêtre, Frédéric Poulain, Laurent Denoyelle, Christophe Vigneron, Nicolas Fauvet, Raffaèle |
author_facet | Dolivet, Enora Gaichies, Léopold Jeanne, Corinne Bazille, Céline Briand, Mélanie Vernon, Mégane Giffard, Florence Leprêtre, Frédéric Poulain, Laurent Denoyelle, Christophe Vigneron, Nicolas Fauvet, Raffaèle |
author_sort | Dolivet, Enora |
collection | PubMed |
description | Epithelial ovarian cancers (EOCs) are a heterogeneous collection of malignancies, each with their own developmental origin, clinical behavior and molecular profile. With less than 5% of EOC cases, mucinous ovarian carcinoma is a rare form with a poor prognosis and a 5-year survival of 11% for advanced stages (III/IV). At the early stages, these malignant forms are clinically difficult to distinguish from borderline (15%) and benign (80%) forms with a better prognosis due to the large size and heterogeneity of mucinous tumors. Improving their diagnosis is therefore a challenge with regard to the risk of under-treating a malignant form or of unnecessarily undertaking radical surgical excision. The involvement of microRNAs (miRNAs) in tumor progression and their potential as biomarkers of diagnosis are becoming increasingly recognized. In this study, the comparison of miRNA microarray expression profiles between malignant and borderline tumor FFPE samples identified 10 down-regulated and 5 up-regulated malignant miRNAs, which were validated by individual RT-qPCR. To overcome normalization issues and to improve the accuracy of the results, a ratio analysis combining paired up-regulated and down-regulated miRNAs was performed. Although 21/50 miRNA expression ratios were significantly different between malignant and borderline tumor samples, any ratio could perfectly discriminate the two groups. However, a combination of 14 pairs of miRNA ratios (double ratio) showed high discriminatory potential, with 100% of accuracy in distinguishing malignant and borderline ovarian tumors, which suggests that miRNAs may hold significant clinical potential as a diagnostic tool. In summary, these ratio miRNA-based signatures may help to improve the precision of histological diagnosis, likely to provide a preoperative diagnosis in order to adapt surgical procedures. |
format | Online Article Text |
id | pubmed-10649586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106495862023-11-06 Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors Dolivet, Enora Gaichies, Léopold Jeanne, Corinne Bazille, Céline Briand, Mélanie Vernon, Mégane Giffard, Florence Leprêtre, Frédéric Poulain, Laurent Denoyelle, Christophe Vigneron, Nicolas Fauvet, Raffaèle Int J Mol Sci Article Epithelial ovarian cancers (EOCs) are a heterogeneous collection of malignancies, each with their own developmental origin, clinical behavior and molecular profile. With less than 5% of EOC cases, mucinous ovarian carcinoma is a rare form with a poor prognosis and a 5-year survival of 11% for advanced stages (III/IV). At the early stages, these malignant forms are clinically difficult to distinguish from borderline (15%) and benign (80%) forms with a better prognosis due to the large size and heterogeneity of mucinous tumors. Improving their diagnosis is therefore a challenge with regard to the risk of under-treating a malignant form or of unnecessarily undertaking radical surgical excision. The involvement of microRNAs (miRNAs) in tumor progression and their potential as biomarkers of diagnosis are becoming increasingly recognized. In this study, the comparison of miRNA microarray expression profiles between malignant and borderline tumor FFPE samples identified 10 down-regulated and 5 up-regulated malignant miRNAs, which were validated by individual RT-qPCR. To overcome normalization issues and to improve the accuracy of the results, a ratio analysis combining paired up-regulated and down-regulated miRNAs was performed. Although 21/50 miRNA expression ratios were significantly different between malignant and borderline tumor samples, any ratio could perfectly discriminate the two groups. However, a combination of 14 pairs of miRNA ratios (double ratio) showed high discriminatory potential, with 100% of accuracy in distinguishing malignant and borderline ovarian tumors, which suggests that miRNAs may hold significant clinical potential as a diagnostic tool. In summary, these ratio miRNA-based signatures may help to improve the precision of histological diagnosis, likely to provide a preoperative diagnosis in order to adapt surgical procedures. MDPI 2023-11-06 /pmc/articles/PMC10649586/ /pubmed/37958997 http://dx.doi.org/10.3390/ijms242116016 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dolivet, Enora Gaichies, Léopold Jeanne, Corinne Bazille, Céline Briand, Mélanie Vernon, Mégane Giffard, Florence Leprêtre, Frédéric Poulain, Laurent Denoyelle, Christophe Vigneron, Nicolas Fauvet, Raffaèle Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title | Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title_full | Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title_fullStr | Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title_full_unstemmed | Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title_short | Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors |
title_sort | synergy of the microrna ratio as a promising diagnosis biomarker for mucinous borderline and malignant ovarian tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649586/ https://www.ncbi.nlm.nih.gov/pubmed/37958997 http://dx.doi.org/10.3390/ijms242116016 |
work_keys_str_mv | AT dolivetenora synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT gaichiesleopold synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT jeannecorinne synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT bazilleceline synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT briandmelanie synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT vernonmegane synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT giffardflorence synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT lepretrefrederic synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT poulainlaurent synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT denoyellechristophe synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT vigneronnicolas synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors AT fauvetraffaele synergyofthemicrornaratioasapromisingdiagnosisbiomarkerformucinousborderlineandmalignantovariantumors |