Cargando…

Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common liver cancer and second leading cause of cancer related death worldwide. Most HCCs occur in a damaged cirrhotic background and it may be difficult to discriminate between regenerative nodules and early HCCs. No dependable molecular biomarker exists f...

Descripción completa

Detalles Bibliográficos
Autores principales: Moshiri, Farzaneh, Salvi, Alessandro, Gramantieri, Laura, Sangiovanni, Angelo, Guerriero, Paola, De Petro, Giuseppina, Bassi, Cristian, Lupini, Laura, Sattari, Arash, Cheung, Douglas, Veneziano, Dario, Nigita, Giovanni, Shankaraiah, Ram C., Portolani, Nazario, Carcoforo, Paolo, Fornari, Francesca, Bolondi, Luigi, Frassoldati, Antonio, Sabbioni, Silvia, Colombo, Massimo, Croce, Carlo M., Negrini, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880609/
https://www.ncbi.nlm.nih.gov/pubmed/29632649
http://dx.doi.org/10.18632/oncotarget.24601
_version_ 1783311186303909888
author Moshiri, Farzaneh
Salvi, Alessandro
Gramantieri, Laura
Sangiovanni, Angelo
Guerriero, Paola
De Petro, Giuseppina
Bassi, Cristian
Lupini, Laura
Sattari, Arash
Cheung, Douglas
Veneziano, Dario
Nigita, Giovanni
Shankaraiah, Ram C.
Portolani, Nazario
Carcoforo, Paolo
Fornari, Francesca
Bolondi, Luigi
Frassoldati, Antonio
Sabbioni, Silvia
Colombo, Massimo
Croce, Carlo M.
Negrini, Massimo
author_facet Moshiri, Farzaneh
Salvi, Alessandro
Gramantieri, Laura
Sangiovanni, Angelo
Guerriero, Paola
De Petro, Giuseppina
Bassi, Cristian
Lupini, Laura
Sattari, Arash
Cheung, Douglas
Veneziano, Dario
Nigita, Giovanni
Shankaraiah, Ram C.
Portolani, Nazario
Carcoforo, Paolo
Fornari, Francesca
Bolondi, Luigi
Frassoldati, Antonio
Sabbioni, Silvia
Colombo, Massimo
Croce, Carlo M.
Negrini, Massimo
author_sort Moshiri, Farzaneh
collection PubMed
description Hepatocellular carcinoma (HCC) is the most common liver cancer and second leading cause of cancer related death worldwide. Most HCCs occur in a damaged cirrhotic background and it may be difficult to discriminate between regenerative nodules and early HCCs. No dependable molecular biomarker exists for the early detection of HCC. MicroRNAs (miRNAs) have attracted attention as potential blood-based biomarkers. To identify circulating miRNAs with diagnostic potential in HCC, we performed preliminary RNAseq studies on plasma samples from a small set of HCC patients, cirrhotic patients and healthy controls. Then, out of the identified miRNAs, we investigated miR-101-3p, miR-106b-3p, miR-1246 and miR-411-5p in plasma of independent HCC patients’ cohorts. The use of droplet digital PCR (ddPCR) confirmed the aberrant levels of these miRNAs. The diagnostic performances of each miRNA and their combinations were measured using Receiver Operating Characteristic (ROC) curve analyses: a classifier consisting of miR-101-3p, miR-1246 and miR-106b-3p produced the best diagnostic precision in plasma of HCC vs. cirrhotic patients (AUC = 0.99). A similar performance was found when the levels of miRNAs of HCC patients were compared to healthy controls (AUC = 1.00). We extended the analyses of the same miRNAs to serum samples. In serum of HCC vs. cirrhotic patients, the combination of miR-101-3p and miR-106b-3p exhibited the best diagnostic accuracy with an AUC = 0.96. Thus, circulating miR-101-3p, miR-106b-3p and miR-1246, either individually or in combination, exhibit a considerable potential value as diagnostic biomarkers of HCC.
format Online
Article
Text
id pubmed-5880609
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-58806092018-04-09 Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma Moshiri, Farzaneh Salvi, Alessandro Gramantieri, Laura Sangiovanni, Angelo Guerriero, Paola De Petro, Giuseppina Bassi, Cristian Lupini, Laura Sattari, Arash Cheung, Douglas Veneziano, Dario Nigita, Giovanni Shankaraiah, Ram C. Portolani, Nazario Carcoforo, Paolo Fornari, Francesca Bolondi, Luigi Frassoldati, Antonio Sabbioni, Silvia Colombo, Massimo Croce, Carlo M. Negrini, Massimo Oncotarget Research Paper Hepatocellular carcinoma (HCC) is the most common liver cancer and second leading cause of cancer related death worldwide. Most HCCs occur in a damaged cirrhotic background and it may be difficult to discriminate between regenerative nodules and early HCCs. No dependable molecular biomarker exists for the early detection of HCC. MicroRNAs (miRNAs) have attracted attention as potential blood-based biomarkers. To identify circulating miRNAs with diagnostic potential in HCC, we performed preliminary RNAseq studies on plasma samples from a small set of HCC patients, cirrhotic patients and healthy controls. Then, out of the identified miRNAs, we investigated miR-101-3p, miR-106b-3p, miR-1246 and miR-411-5p in plasma of independent HCC patients’ cohorts. The use of droplet digital PCR (ddPCR) confirmed the aberrant levels of these miRNAs. The diagnostic performances of each miRNA and their combinations were measured using Receiver Operating Characteristic (ROC) curve analyses: a classifier consisting of miR-101-3p, miR-1246 and miR-106b-3p produced the best diagnostic precision in plasma of HCC vs. cirrhotic patients (AUC = 0.99). A similar performance was found when the levels of miRNAs of HCC patients were compared to healthy controls (AUC = 1.00). We extended the analyses of the same miRNAs to serum samples. In serum of HCC vs. cirrhotic patients, the combination of miR-101-3p and miR-106b-3p exhibited the best diagnostic accuracy with an AUC = 0.96. Thus, circulating miR-101-3p, miR-106b-3p and miR-1246, either individually or in combination, exhibit a considerable potential value as diagnostic biomarkers of HCC. Impact Journals LLC 2018-02-27 /pmc/articles/PMC5880609/ /pubmed/29632649 http://dx.doi.org/10.18632/oncotarget.24601 Text en Copyright: © 2018 Moshiri et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Moshiri, Farzaneh
Salvi, Alessandro
Gramantieri, Laura
Sangiovanni, Angelo
Guerriero, Paola
De Petro, Giuseppina
Bassi, Cristian
Lupini, Laura
Sattari, Arash
Cheung, Douglas
Veneziano, Dario
Nigita, Giovanni
Shankaraiah, Ram C.
Portolani, Nazario
Carcoforo, Paolo
Fornari, Francesca
Bolondi, Luigi
Frassoldati, Antonio
Sabbioni, Silvia
Colombo, Massimo
Croce, Carlo M.
Negrini, Massimo
Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title_full Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title_fullStr Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title_full_unstemmed Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title_short Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma
title_sort circulating mir-106b-3p, mir-101-3p and mir-1246 as diagnostic biomarkers of hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880609/
https://www.ncbi.nlm.nih.gov/pubmed/29632649
http://dx.doi.org/10.18632/oncotarget.24601
work_keys_str_mv AT moshirifarzaneh circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT salvialessandro circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT gramantierilaura circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT sangiovanniangelo circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT guerrieropaola circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT depetrogiuseppina circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT bassicristian circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT lupinilaura circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT sattariarash circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT cheungdouglas circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT venezianodario circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT nigitagiovanni circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT shankaraiahramc circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT portolaninazario circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT carcoforopaolo circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT fornarifrancesca circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT bolondiluigi circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT frassoldatiantonio circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT sabbionisilvia circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT colombomassimo circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT crocecarlom circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma
AT negrinimassimo circulatingmir106b3pmir1013pandmir1246asdiagnosticbiomarkersofhepatocellularcarcinoma