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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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AUC Knowledge Fountain
2021
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| _version_ | 1867613420005621760 |
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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. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-2705 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:51.500Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| 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 |