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用于早期检测肝细胞癌的新型生物标志物

Novel Biomarkers for Early Detection of Hepatocellular Carcinoma.

作者信息

Attia Abdelrahman M, Rezaee-Zavareh Mohammad Saeid, Hwang Soo Young, Kim Naomy, Adetyan Hasmik, Yalda Tamar, Chen Pin-Jung, Koltsova Ekaterina K, Yang Ju Dong

机构信息

Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Middle East Liver Diseases (MELD) Center, Tehran 1417935840, Iran.

出版信息

Diagnostics (Basel). 2024 Oct 13;14(20):2278. doi: 10.3390/diagnostics14202278.

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally. Most patients present with late diagnosis, leading to poor prognosis. This narrative review explores novel biomarkers for early HCC detection. We conducted a comprehensive literature review analyzing protein, circulating nucleic acid, metabolite, and quantitative proteomics-based biomarkers, evaluating the advantages and limitations of each approach. While established markers like alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, and AFP-L3 remain relevant, promising candidates include circulating tumor DNA, microRNAs, long noncoding RNAs, extracellular vesicle, and metabolomic biomarkers. Multi-biomarker panels like the GALAD score, Oncoguard, and Helio liver test show promise for improved diagnostic accuracy. Non-invasive approaches like urine and gut microbiome analysis are also emerging possibilities. Integrating these novel biomarkers with current screening protocols holds significant potential for earlier HCC detection and improved patient outcomes. Future research should explore multi-biomarker panels, omics technologies, and artificial intelligence to further enhance early HCC diagnosis and management.

摘要

肝细胞癌(HCC)是全球癌症死亡的主要原因。大多数患者确诊时已处于晚期,预后较差。本叙述性综述探讨了用于早期肝癌检测的新型生物标志物。我们进行了一项全面的文献综述,分析了基于蛋白质、循环核酸、代谢物和定量蛋白质组学的生物标志物,评估了每种方法的优缺点。虽然甲胎蛋白(AFP)、异常凝血酶原和AFP-L3等既定标志物仍然具有相关性,但有前景的候选标志物包括循环肿瘤DNA、微小RNA、长链非编码RNA、细胞外囊泡和代谢组学生物标志物。像GALAD评分、Oncoguard和Helio肝脏检测这样的多生物标志物组合显示出提高诊断准确性的前景。尿液和肠道微生物组分析等非侵入性方法也正在成为可能。将这些新型生物标志物与当前的筛查方案相结合,对于早期肝癌检测和改善患者预后具有巨大潜力。未来的研究应探索多生物标志物组合、组学技术和人工智能,以进一步加强早期肝癌的诊断和管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bb5/11507329/030f8b239a34/diagnostics-14-02278-g001.jpg

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