Synergy of the microRNA Ratio as a Promising ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors
Auteur(s) :
Dolivet, Enora [Auteur]
Université de Caen Normandie - UFR Santé [UNICAEN Santé]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Gaichies, Léopold [Auteur]
Université de Caen Normandie - UFR Santé [UNICAEN Santé]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Jeanne, Corinne [Auteur]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Bazille, Céline [Auteur]
CHU Caen
Briand, Mélanie [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Vernon, Mégane [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Giffard, Florence [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Leprêtre, Frédéric [Auteur]
Plateformes Lilloises en Biologie et Santé (PLBS) - UAR 2014 - US 41
Poulain, Laurent [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
UNICANCER - Institut régional du Cancer Montpellier Val d'Aurelle [ICM]
Denoyelle, Christophe [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
UNICANCER
Vigneron, Nicolas [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Fauvet, Raffaèle [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie - UFR Santé [UNICAEN Santé]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Gaichies, Léopold [Auteur]
Université de Caen Normandie - UFR Santé [UNICAEN Santé]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Jeanne, Corinne [Auteur]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Bazille, Céline [Auteur]
CHU Caen
Briand, Mélanie [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Vernon, Mégane [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Giffard, Florence [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Leprêtre, Frédéric [Auteur]
Plateformes Lilloises en Biologie et Santé (PLBS) - UAR 2014 - US 41
Poulain, Laurent [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
UNICANCER - Institut régional du Cancer Montpellier Val d'Aurelle [ICM]
Denoyelle, Christophe [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Université de Caen Normandie [UNICAEN]
UNICANCER
Vigneron, Nicolas [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Fauvet, Raffaèle [Auteur]
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers [ANTICIPE]
Titre de la revue :
International Journal of Molecular Sciences
Nom court de la revue :
Int. J. Mol. Sci.
Numéro :
24
Pagination :
16016
Date de publication :
2023
ISSN :
1661-6596
Mot(s)-clé(s) en anglais :
microRNA
ratio
ovarian carcinoma
mucinous ovarian cancer
mucinous borderline ovarian tumor
cancer diagnosis
ratio
ovarian carcinoma
mucinous ovarian cancer
mucinous borderline ovarian tumor
cancer diagnosis
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2024-01-26T22:06:03Z
2024-02-28T07:53:47Z
2024-02-28T07:53:47Z
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