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肝癌临床治疗中基于标志物的耐药评估与应用。

Evaluation and Application of Drug Resistance by Biomarkers in the Clinical Treatment of Liver Cancer.

机构信息

Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.

Department of Biochemistry and Molecular Biology, Chang Gung University, Taoyuan 333, Taiwan.

出版信息

Cells. 2023 Mar 10;12(6):869. doi: 10.3390/cells12060869.

Abstract

Liver cancer is one of the most lethal cancers in the world, mainly owing to the lack of effective means for early monitoring and treatment. Accordingly, there is considerable research interest in various clinically applicable methods for addressing these unmet needs. At present, the most commonly used biomarker for the early diagnosis of liver cancer is alpha-fetoprotein (AFP), but AFP is sensitive to interference from other factors and cannot really be used as the basis for determining liver cancer. Treatment options in addition to liver surgery (resection, transplantation) include radiation therapy, chemotherapy, and targeted therapy. However, even more expensive targeted drug therapies have a limited impact on the clinical outcome of liver cancer. One of the big reasons is the rapid emergence of drug resistance. Therefore, in addition to finding effective biomarkers for early diagnosis, an important focus of current discussions is on how to effectively adjust and select drug strategies and guidelines for the treatment of liver cancer patients. In this review, we bring this thought process to the drug resistance problem faced by different treatment strategies, approaching it from the perspective of gene expression and molecular biology and the possibility of finding effective solutions.

摘要

肝癌是世界上最致命的癌症之一,主要是因为缺乏有效的早期监测和治疗手段。因此,人们对各种可用于解决这些未满足需求的临床适用方法有相当大的研究兴趣。目前,用于肝癌早期诊断的最常用生物标志物是甲胎蛋白(AFP),但 AFP 容易受到其他因素的干扰,不能真正作为肝癌的诊断依据。除了肝手术(切除、移植)以外的治疗选择包括放射治疗、化学疗法和靶向治疗。然而,即使是更昂贵的靶向药物治疗对肝癌的临床疗效也有一定的限制。其中一个主要原因是药物耐药性的迅速出现。因此,除了寻找有效的早期诊断生物标志物外,当前讨论的一个重要重点是如何有效地调整和选择肝癌患者的药物治疗策略和指南。在这篇综述中,我们从基因表达和分子生物学的角度以及寻找有效解决方案的可能性出发,将这种思路应用于不同治疗策略所面临的药物耐药性问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/960d/10047572/a682d98b3da0/cells-12-00869-g001.jpg

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