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肝细胞癌耐药模型

Hepatocellular carcinoma drug resistance models.

作者信息

Xie Xiaolu, Wang Yaomin, Wang Ziyi, Zhang Lei, Li Jun, Li Yaling

机构信息

Department of Pharmacy, Yibin Hospital Affiliated to Children's Hospital of Chongqing Medical University, No. 108, Shangmao road, Xuzhou district, Yibin, Sichuan, China.

Department of Pharmacy, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.

出版信息

Cancer Cell Int. 2025 May 28;25(1):195. doi: 10.1186/s12935-025-03821-y.

Abstract

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. Although drug therapy has been well developed and applied, its clinical efficacy is limited due to primary or acquired drug resistance in most HCC patients. Therefore, it is of great clinical significance to elucidate the key molecular mechanisms of resistance and improve the sensitivity of HCC cells to drugs. At present, a variety of HCC drug resistance models have been developed to find out resistance mechanisms, screen biomarkers, and explore strategies to reverse drug resistance, including traditional HCC drug resistance models, HCC patient-derived drug resistance models, three-dimensional drug resistance models, transgenic drug resistance models, and multi-drug resistance models. Here, we searched PubMed, Embase and Web of science for studies related to HCC drug resistance models in recent years, systematically summarized the established methods and characteristics of these models, reviewed their applications and compared their advantages and disadvantages, aiming to provide reference for the selection of appropriate models for HCC drug resistance research.

摘要

肝细胞癌(HCC)是全球癌症相关死亡的第二大主要原因。尽管药物治疗已得到充分发展和应用,但由于大多数HCC患者存在原发性或获得性耐药,其临床疗效有限。因此,阐明耐药的关键分子机制并提高HCC细胞对药物的敏感性具有重要的临床意义。目前,已建立了多种HCC耐药模型以找出耐药机制、筛选生物标志物并探索逆转耐药的策略,包括传统的HCC耐药模型、HCC患者来源的耐药模型、三维耐药模型、转基因耐药模型和多药耐药模型。在此,我们检索了PubMed、Embase和Web of science近年来与HCC耐药模型相关的研究,系统总结了这些模型的建立方法和特点,综述了它们的应用并比较了其优缺点,旨在为选择合适的模型进行HCC耐药研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d738/12121111/91854ba6ae1f/12935_2025_3821_Fig1_HTML.jpg

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