Circulating microRNAs as biomarkers for stratifying different phases of liver cancer progression and response to therapy

Hepatocellular carcinoma (HCC) is the most common liver cancer and is among the leading causes of cancer-related death worldwide. There is no reliable biomarker for the early diagnosis of HCC. Circulating microRNAs (miRNAs) have attracted attention as potential biomarkers of disease. By small-RNA next-generation sequencing, the analysis of serum miRNAs led to the identification of molecular signatures able to discriminate advanced HCC from early HCC (n = 246); advanced HCC from CIRRHOSIS (n = 299); advanced HCC from HEALTHY (n = 320); HEALTHY from early HCC (n = 343); and HEALTHY from CIRRHOSIS (n = 414). Cirrhotic patients and early HCC patients exhibited similar serum miRNA profiles, yet a small number of miRNAs (n = 57) were able to distinguish these two classes of patients. A second objective of the study was to identify serum miRNAs capable of predicting the response to therapy in patients with advanced HCC. All patients were treated with sorafenib as first-line therapy: 24 were nonresponsive and 24 responsive. Analysis of circulating miRNAs revealed a 54 miRNAs signature able to separate the two subgroups. This study suggested that circulating miRNAs could be useful biomarkers for monitoring patients with liver diseases ranging from cirrhosis to advanced HCC and possibly predicting susceptibility to first-line treatment based on sorafenib.

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Publication Details

Journal
Scientific Reports
Published
2024-08-09
DOI
https://doi.org/10.1038/s41598-024-69548-4
Citations
7
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
2.00

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article

Circulating microRNAs as biomarkers for stratifying different phases of liver cancer progression and response to therapy

Cristian Bassi, Paola Guerriero, Elisa Callegari, Angelo Sangiovanni et al.
7 citations
Scientific Reports
MicroRNA in disease regulation
2.00
article

Circulating microRNAs as biomarkers for stratifying different phases of liver cancer progression and response to therapy

Cristian Bassi, Paola Guerriero, Elisa Callegari, Angelo Sangiovanni, Fabio Piscaglia, Angelo Michilli, Andrea Gardini, Lucilla D’Abundo, Laura Gramantieri, Farzaneh Moshiri, Massimo Negrini, Silvia Sabbioni, Fernanda Mora
article en
7 citations

Abstract

Hepatocellular carcinoma (HCC) is the most common liver cancer and is among the leading causes of cancer-related death worldwide. There is no reliable biomarker for the early diagnosis of HCC. Circulating microRNAs (miRNAs) have attracted attention as potential biomarkers of disease. By small-RNA next-generation sequencing, the analysis of serum miRNAs led to the identification of molecular signatures able to discriminate advanced HCC from early HCC (n = 246); advanced HCC from CIRRHOSIS (n = 299); advanced HCC from HEALTHY (n = 320); HEALTHY from early HCC (n = 343); and HEALTHY from CIRRHOSIS (n = 414). Cirrhotic patients and early HCC patients exhibited similar serum miRNA profiles, yet a small number of miRNAs (n = 57) were able to distinguish these two classes of patients. A second objective of the study was to identify serum miRNAs capable of predicting the response to therapy in patients with advanced HCC. All patients were treated with sorafenib as first-line therapy: 24 were nonresponsive and 24 responsive. Analysis of circulating miRNAs revealed a 54 miRNAs signature able to separate the two subgroups. This study suggested that circulating miRNAs could be useful biomarkers for monitoring patients with liver diseases ranging from cirrhosis to advanced HCC and possibly predicting susceptibility to first-line treatment based on sorafenib.

Scientific ReportsVol. 14(1)
Vita-Salute San Raffaele University (IT), University of Ferrara (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Azienda USL di Bologna (IT), University of Bologna (IT)
Ministero della Salute, Associazione Italiana per la Ricerca sul Cancro, Università degli Studi di Ferrara, Horizon 2020 Framework Programme
Good health and well-being
Openalex Percentile: Top 13%
MicroRNA in disease regulation
2.00
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