CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The evolving landscape of biomarkers for systemic therapy in advanced hepatocellular carcinoma.
The evolving landscape of biomarkers for systemic therapy in advanced hepatocellular carcinoma.
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肝细胞癌(HCC)仍然是最常见和最致命的癌症之一。随着多种一线和二线药物的获批,尤其是基于免疫检查点抑制剂(ICI)方案的联合治疗,晚期HCC(aHCC)的系统治疗格局比以往任何时候都更加多样化。当前系统治疗在aHCC患者中的疗效表现出很大的异质性,因此识别用于疗效预测和患者分层的生物标志物已成为迫切需求。肝细胞癌系统治疗的主要生物标志物来源于外周血、组织和影像学。目前,对系统治疗临床反应的认识明确表明,单一生物标志物无法用于识别可能从这些治疗中获益的患者。在这篇综述中,我们提供了分子靶向治疗和基于ICI的治疗最新进展的综合全景,尤其关注临床可应用的预测性生物标志物的作用。此外,我们进一步强调了生物标志物驱动治疗的最新进展,包括靶向治疗、过继性细胞治疗和双特异性抗体。
Hepatocellular carcinoma (HCC) remains one of the most prevalent and deadliest cancers. With the approval of multiple first- and second-line agents, especially the combination therapies based on immune checkpoint inhibitor (ICI) regimens, the landscape of systemic therapy for advanced HCC (aHCC) is more diverse than ever before. The efficacy of current systemic therapies shows great heterogeneity in patients with aHCC, thereby identifying biomarkers for response prediction and patient stratification has become an urgent need.
The main biomarkers for systemic therapy in hepatocellular carcinoma are derived from peripheral blood, tissues, and imaging. Currently, the understanding of the clinical response to systemic therapy indicates unequivocally that a single biomarker cannot be used to identify patients who are likely to benefit from these treatments. In this review, we provide an integrated landscape of the recent development in molecular targeted therapies and ICIs-based therapies, especially focusing on the role of clinically applicable predictive biomarkers.
Additionally, we further highlight the latest advancements in biomarker-driven therapies, including targeted treatments, adoptive cell therapies, and bispecific antibodies.
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