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Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients

Introduction: early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this poorly diagnosed widely-spread disease. Dysregulation in microRNA (miRNAs) expression is associated with HCC progression. Objective: Is to identify a panel of differentially expressed mi...

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Main Author: Dabbish, Areeg
Format: Thesis
Published: AUC Knowledge Fountain 2021
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access_status_str Open Access
author Dabbish, Areeg
author_browse Dabbish, Areeg
author_facet Dabbish, Areeg
author_sort Dabbish, Areeg
collection Thesis
description Introduction: early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this poorly diagnosed widely-spread disease. Dysregulation in microRNA (miRNAs) expression is associated with HCC progression. Objective: Is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Methodology: Candidate miRNAs were selected using 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). Results: 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. While miR-199a and miR-183 showed differential expression in cirrhotic relative to non-cirrhotic patients. A panel of 5 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). Conclusion: MiR-142, miR-183, miR-199a, miR-224 and miR-424 novel panel could serve as non-invasive biomarker for HCC early prediction in chronic HCV patients.
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institution American University in Cairo (Egypt)
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spelling oai:fount.aucegypt.edu:etds-2705 Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients Dabbish, Areeg Introduction: early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this poorly diagnosed widely-spread disease. Dysregulation in microRNA (miRNAs) expression is associated with HCC progression. Objective: Is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Methodology: Candidate miRNAs were selected using 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). Results: 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. While miR-199a and miR-183 showed differential expression in cirrhotic relative to non-cirrhotic patients. A panel of 5 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). Conclusion: MiR-142, miR-183, miR-199a, miR-224 and miR-424 novel panel could serve as non-invasive biomarker for HCC early prediction in chronic HCV patients. 2021-12-20T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1675 https://fount.aucegypt.edu/context/etds/article/2705/viewcontent/Areeg_Mohammad_Medhat_Dabbish_Thesis.pdf Theses and Dissertations AUC Knowledge Fountain Hepatocellular carcinoma (HCC) HCV MicroRNAs Serum biomarker HCC prognosis Biotechnology Clinical Epidemiology Virus Diseases
spellingShingle Hepatocellular carcinoma (HCC)
HCV
MicroRNAs
Serum biomarker
HCC prognosis
Biotechnology
Clinical Epidemiology
Virus Diseases
Dabbish, Areeg
Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title_full Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title_fullStr Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title_full_unstemmed Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title_short Identifying MicroRNAs Panel Associated With Hepatocellular Carcinoma in Serum of Chronic Hepatitis C Patients
title_sort identifying micrornas panel associated with hepatocellular carcinoma in serum of chronic hepatitis c patients
topic Hepatocellular carcinoma (HCC)
HCV
MicroRNAs
Serum biomarker
HCC prognosis
Biotechnology
Clinical Epidemiology
Virus Diseases
url https://fount.aucegypt.edu/etds/1675
https://fount.aucegypt.edu/context/etds/article/2705/viewcontent/Areeg_Mohammad_Medhat_Dabbish_Thesis.pdf
work_keys_str_mv AT dabbishareeg identifyingmicrornaspanelassociatedwithhepatocellularcarcinomainserumofchronichepatitiscpatients