原发性肝癌免疫治疗疗效及预后预测生物标志物研究进展
浙江中医药大学
摘要:原发性肝癌是全球范围内高发病率与高致死率的恶性肿瘤,主要分为肝细胞癌(HCC)和肝内胆管癌(ICC)两种亚型。随着肿瘤免疫学研究的突破,免疫检查点抑制剂(ICI)等免疫治疗手段已成为临床实践的重要组成部分并显示出积极疗效。患者个体生物学特征差异及肿瘤微环境复杂性导致治疗反应存在显著区别,这对疗效预测和个体化治疗构成了关键挑战。当前研究致力于发掘可靠的预后生物标志物,以指导临床制定个性化 治疗方案并提升免疫治疗应答率。本文系统分析原发性肝癌免疫治疗最新进展,重点探讨肿瘤组织相关生物标志物以及外周循环相关生物标志物等的研究成果,为优化治疗效果评估体系提供依据。未来研究或可整合多组学数据构建精准治疗模型,通过建立多维标志物评估体系提升治疗精准度与总体疗效,最终改善原发性肝癌患者的生存预后。
Abstract: Primary liver cancer is a malignant tumor with high incidence rate and high mortality rate worldwide, which is mainly divided into two subtypes: hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). With breakthroughs in tumor immunology research, immune checkpoint inhibitors (ICI) and other immunotherapy methods have become an important component of clinical practice and have shown positive efficacy. The differences in individual biological characteristics of patients and the complexity of the tumor microenvironment lead to significant differences in treatment response, which poses key challenges for efficacy prediction and personalized treatment. The current research is dedicated to discovering reliable prognostic biomarkers to guide clinical development of personalized treatment plans and improve immunotherapy response rates. This article systematically analyzes the latest advances in immunotherapy for primary liver cancer, focusing on the research results of tumor tissue related biomarkers and peripheral circulation related biomarkers, providing a basis for optimizing the treatment efficacy evaluation system. Future research may integrate multiple omics data to construct a precise treatment model, improve treatment accuracy and overall efficacy by establishing a multidimensional biomarker evaluation system, and ultimately improve the survival prognosis of patients with primary liver cancer.
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共 0 条| 文章编号 | 2026-01-063(期号内编号) |
|---|---|
| 栏目 | 检验与方法 |
| 作者 | 郭瑾;陈平 |
| 作者单位 | 浙江中医药大学 |
| 通信邮箱 | pingchendoctor@zju.edu.cn |
| 卷期页码 | 2026, (01) |
| 发布时间 | - |
| 出版时间 | - |
| 引用信息 | [1]郭瑾, 陈平.原发性肝癌免疫治疗疗效及预后预测生物标志物研究进展[J],2026,01(01):. |
| 全文地址 | 在知网查看该文(kns.cnki.net) |
| 数据抓取时间 | 2026-09-22T12:26:23 |