Pregled bibliografske jedinice broj: 1281905
Biomarkers for Hepatocellular Carcinoma: From Origin to Clinical Diagnosis
Biomarkers for Hepatocellular Carcinoma: From Origin to Clinical Diagnosis // Biomedicines, 11 (2023), 7; 1852-1872 doi:10.3390/biomedicines11071852 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1281905 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Biomarkers for Hepatocellular Carcinoma: From Origin
to Clinical Diagnosis
Autori
Omar, Mona A. ; Omran, Mohamed M. ; Farid, Khaled ; Tabll, Ashraf A. ; Shahein, Yasser E. ; Emran, Tarek M. ; Petrovic, Ana ; Lucic, Nikola R. ; Smolic, Robert ; Kovac, Tanja ; Smolic, Martina
Izvornik
Biomedicines (2227-9059) 11
(2023), 7;
1852-1872
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
hepatocellular carcinoma ; diagnosis ; imaging methods ; molecular markers
Sažetak
The incidence of hepatocellular carcinoma (HCC) and HCC-related deaths has increased over the last few decades. There are several risk factors of HCC such as viral hepatitis (B, C), cirrhosis, tobacco and alcohol use, aflatoxin-contaminated food, pesticides, diabetes, obesity, nonalcoholic fatty liver disease (NAFLD), and metabolic and genetic diseases. Diagnosis of HCC is based on different methods such as imaging ultrasonography (US), multiphasic enhanced computed tomography (CT), magnetic resonance imaging (MRI), and several diagnostic biomarkers. In this review, we examine the epidemiology of HCC worldwide and in Egypt as well as risk factors associated with the development of HCC and, finally, provide the updated diagnostic biomarkers for the diagnosis of HCC, particularly in the early stages of HCC. Several biomarkers are considered to diagnose HCC, including downregulated or upregulated protein markers secreted during HCC development, circulating nucleic acids or cells, metabolites, and the promising, recently identified biomarkers based on quantitative proteomics through the isobaric tags for relative and absolute quantitation (iTRAQ). In addition, a diagnostic model used to improve the sensitivity of combined biomarkers for the diagnosis of early HCC is discussed.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti, Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Fakultet za dentalnu medicinu i zdravstvo, Osijek
Profili:
Ana Petrović
(autor)
Martina Smolić
(autor)
Robert Smolić
(autor)
Tanja Kovač
(autor)
Nikola Raguž-Lučić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus