Ghantus Robeer, Ciocan Răzvan Alexandru, Schlanger Diana, Popa Călin, Gherman Claudia Diana, Vaida Călin, Gherman Bogdan, Pîslă Doina, Al Hajjar Nadim, Ciocan Andra
Department of Internal Medicine, Bnai Zion Medical Center, Haifa 31048, Israel.
Department of Surgery-Practical Abilities, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.
Biomedicines. 2025 Apr 23;13(5):1020. doi: 10.3390/biomedicines13051020.
Hepatocellular carcinoma (HCC), a primary liver cancer, continues to pose a significant challenge to the healthcare system because of its elevated incidence and fatality rates. This study aims to assess new biomarkers for early diagnosis and prognosis, comparing them to the established gold standard alpha-fetoprotein (AFP) and liver ultrasonography. A literature review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guideline. A total of 670 papers were identified using internet databases. After applying the exclusion criteria, eight studies were included in this literature review. It was identified that certain analyzed biomarkers, or the combinations thereof, exhibited superior sensitivity compared to the existing gold standard. The circulating cell-free DNA (cfDNA) and microRNAs (miRNAs), proved to have encouraging outcomes, particularly for the early identification of HCC. Additional indicators, such as circulating tumor cells (CTCs) and the alkaline phosphatase plus gamma-glutamyl transpeptidase to lymphocyte ratio (AGLR), may forecast disease progression, particularly regarding vascular invasion. These biomarkers may assist clinicians in making better therapeutical choices in order to provide personalized treatment and optimal follow-up for HCC patients.
肝细胞癌(HCC)作为一种原发性肝癌,因其发病率和死亡率不断上升,持续给医疗系统带来重大挑战。本研究旨在评估用于早期诊断和预后的新型生物标志物,并将其与既定的金标准甲胎蛋白(AFP)和肝脏超声检查进行比较。按照系统评价和Meta分析的首选报告项目(PRISMA)指南进行了文献综述。通过互联网数据库共识别出670篇论文。应用排除标准后,本综述纳入了8项研究。结果发现,某些分析的生物标志物或其组合表现出比现有金标准更高的敏感性。循环游离DNA(cfDNA)和微小RNA(miRNA)被证明有令人鼓舞的结果,特别是在HCC的早期识别方面。其他指标,如循环肿瘤细胞(CTC)以及碱性磷酸酶加γ-谷氨酰转肽酶与淋巴细胞比值(AGLR),可能预测疾病进展,特别是在血管侵犯方面。这些生物标志物可帮助临床医生做出更好的治疗选择,以便为HCC患者提供个性化治疗和最佳随访。