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Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation

SIMPLE SUMMARY: Hepatocellular carcinoma (HCC) is a disease of poor prognosis. The early diagnosis of HCC will restrain the disease progression and thus improve patients’ quality of life. We aimed in this study to define a panel of microRNAs (miRNAs) that could facilitate the early prognosis of HCC...

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Autores principales: Dabbish, Areeg M., Abdelzaher, Hana M., Abohawya, Moustafa, Shamma, Samir, Mahmoud, Yosra H., Maged, Amr, Manaa, Mohamed, Hassany, Mohamed, Kobeissy, Firas, Bazgir, Omid, El-Fawal, Hassan, Azzazy, Hassan M. E., Abdelnaser, Anwar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265118/
https://www.ncbi.nlm.nih.gov/pubmed/35804809
http://dx.doi.org/10.3390/cancers14133036
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author Dabbish, Areeg M.
Abdelzaher, Hana M.
Abohawya, Moustafa
Shamma, Samir
Mahmoud, Yosra H.
Maged, Amr
Manaa, Mohamed
Hassany, Mohamed
Kobeissy, Firas
Bazgir, Omid
El-Fawal, Hassan
Azzazy, Hassan M. E.
Abdelnaser, Anwar
author_facet Dabbish, Areeg M.
Abdelzaher, Hana M.
Abohawya, Moustafa
Shamma, Samir
Mahmoud, Yosra H.
Maged, Amr
Manaa, Mohamed
Hassany, Mohamed
Kobeissy, Firas
Bazgir, Omid
El-Fawal, Hassan
Azzazy, Hassan M. E.
Abdelnaser, Anwar
author_sort Dabbish, Areeg M.
collection PubMed
description SIMPLE SUMMARY: Hepatocellular carcinoma (HCC) is a disease of poor prognosis. The early diagnosis of HCC will restrain the disease progression and thus improve patients’ quality of life. We aimed in this study to define a panel of microRNAs (miRNAs) that could facilitate the early prognosis of HCC focal lesions in the cirrhotic livers of patients previously infected with hepatitis C virus (HCV). A minimally invasive technique was used to measure the differential expression of isolated miRNAs from the serum of 201 HCV infected and HCV-HCC patients. We suggest that a panel of five serum miRNAs (miR-150, miR-199a, miR-224, miR-424, and miR-3607) might provide a potentially promising tool in the prognosis of HCC disease in cirrhotic HCV patients. ABSTRACT: Early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this widely spread disease. Dysregulation in microRNA (miRNA) expression is associated with HCC progression. The objective is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Candidate miRNAs were selected using a bioinformatic analysis of microarray and RNA-sequencing datasets, resulting in nine DE-miRNAs (miR-142, miR-150, miR-183, miR-199a, miR-215, miR-217, miR-224, miR-424, and miR-3607). Their expressions were validated in the serum of 44 healthy individuals, 62 non-cirrhotic HCV patients, 67 cirrhotic-HCV, and 72 HCV-associated-HCC patients using real-time PCR (qPCR). There was a significant increase in serum concentrations of the nine-candidate miRNAs in HCC and HCV patients relative to healthy individuals. MiR-424, miR-199a, miR-142, and miR-224 expressions were significantly altered in HCC compared to non-cirrhotic patients. A panel of five miRNAs improved sensitivity and specificity of HCC detection to 100% and 95.12% relative to healthy controls. Distinguishing HCC from HCV-treated patients was achieved by 70.8% sensitivity and 61.9% specificity using the combined panel, compared to alpha-fetoprotein (51.4% sensitivity and 60.67% specificity). These preliminary data show that the novel miRNAs panel (miR-150, miR-199a, miR-224, miR-424, and miR-3607) could serve as a potential non-invasive biomarker for HCC early prediction in chronic HCV patients. Further prospective studies on a larger cohort of patients should be conducted to assess the potential prognostic ability of the miRNAs panel.
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spelling pubmed-92651182022-07-09 Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation Dabbish, Areeg M. Abdelzaher, Hana M. Abohawya, Moustafa Shamma, Samir Mahmoud, Yosra H. Maged, Amr Manaa, Mohamed Hassany, Mohamed Kobeissy, Firas Bazgir, Omid El-Fawal, Hassan Azzazy, Hassan M. E. Abdelnaser, Anwar Cancers (Basel) Article SIMPLE SUMMARY: Hepatocellular carcinoma (HCC) is a disease of poor prognosis. The early diagnosis of HCC will restrain the disease progression and thus improve patients’ quality of life. We aimed in this study to define a panel of microRNAs (miRNAs) that could facilitate the early prognosis of HCC focal lesions in the cirrhotic livers of patients previously infected with hepatitis C virus (HCV). A minimally invasive technique was used to measure the differential expression of isolated miRNAs from the serum of 201 HCV infected and HCV-HCC patients. We suggest that a panel of five serum miRNAs (miR-150, miR-199a, miR-224, miR-424, and miR-3607) might provide a potentially promising tool in the prognosis of HCC disease in cirrhotic HCV patients. ABSTRACT: Early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this widely spread disease. Dysregulation in microRNA (miRNA) expression is associated with HCC progression. The objective is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Candidate miRNAs were selected using a bioinformatic analysis of microarray and RNA-sequencing datasets, resulting in nine DE-miRNAs (miR-142, miR-150, miR-183, miR-199a, miR-215, miR-217, miR-224, miR-424, and miR-3607). Their expressions were validated in the serum of 44 healthy individuals, 62 non-cirrhotic HCV patients, 67 cirrhotic-HCV, and 72 HCV-associated-HCC patients using real-time PCR (qPCR). There was a significant increase in serum concentrations of the nine-candidate miRNAs in HCC and HCV patients relative to healthy individuals. MiR-424, miR-199a, miR-142, and miR-224 expressions were significantly altered in HCC compared to non-cirrhotic patients. A panel of five miRNAs improved sensitivity and specificity of HCC detection to 100% and 95.12% relative to healthy controls. Distinguishing HCC from HCV-treated patients was achieved by 70.8% sensitivity and 61.9% specificity using the combined panel, compared to alpha-fetoprotein (51.4% sensitivity and 60.67% specificity). These preliminary data show that the novel miRNAs panel (miR-150, miR-199a, miR-224, miR-424, and miR-3607) could serve as a potential non-invasive biomarker for HCC early prediction in chronic HCV patients. Further prospective studies on a larger cohort of patients should be conducted to assess the potential prognostic ability of the miRNAs panel. MDPI 2022-06-21 /pmc/articles/PMC9265118/ /pubmed/35804809 http://dx.doi.org/10.3390/cancers14133036 Text en © 2022 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
Dabbish, Areeg M.
Abdelzaher, Hana M.
Abohawya, Moustafa
Shamma, Samir
Mahmoud, Yosra H.
Maged, Amr
Manaa, Mohamed
Hassany, Mohamed
Kobeissy, Firas
Bazgir, Omid
El-Fawal, Hassan
Azzazy, Hassan M. E.
Abdelnaser, Anwar
Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title_full Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title_fullStr Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title_full_unstemmed Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title_short Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation
title_sort prognostic microrna panel for hcv-associated hcc: integrating computational biology and clinical validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265118/
https://www.ncbi.nlm.nih.gov/pubmed/35804809
http://dx.doi.org/10.3390/cancers14133036
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