Taimei Baofa Cancer Hospital, Dongping, Shandong 271500, China; Jinan Baofa Cancer Hospital, Jinan, Shandong 250000, China; Beijing Baofa Cancer Hospital, Beijing, 100010, China; Immune Oncology Systems, Inc, San Diego, CA 92102, USA.
Department of Medicine, Sanford Stem Cell Institute, and Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
Cytokine Growth Factor Rev. 2024 Oct;79:29-38. doi: 10.1016/j.cytogfr.2024.08.006. Epub 2024 Aug 24.
Hepatocellular carcinoma (HCC) is a leading contributor to cancer-related deaths worldwide and presents significant challenges in diagnosis and treatment due to its heterogeneous nature. The discovery of biomarkers has become crucial in addressing these challenges, promising early detection, precise diagnosis, and personalized treatment plans. Key biomarkers, such as alpha fetoprotein (AFP) glypican 3 (GPC3) and des gamma carboxy prothrombin (DCP) have shown potential in improving clinical results. Progress in proteomic technologies, including next-generation sequencing (NGS), mass spectrometry, and liquid biopsies detecting circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), has deepened our understanding of HCC's molecular landscape. Immunological markers, like PD-L1 expression and tumor-infiltrating lymphocytes (TILs), also play a crucial role in guiding immunotherapy decisions. Despite these advancements, challenges remain in biomarker validation, standardization, integration into clinical practice, and cost-related barriers. Emerging technologies like single-cell sequencing and machine learning offer promising avenues for further exploration. Continued investment in research and collaboration among researchers, healthcare providers, and policymakers is vital to harness the potential of biomarkers fully, ultimately revolutionizing HCC management and improving patient outcomes through personalized treatment approaches.
肝细胞癌(HCC)是全球癌症相关死亡的主要原因,由于其异质性,在诊断和治疗方面存在重大挑战。生物标志物的发现已成为应对这些挑战的关键,有望实现早期检测、精确诊断和个性化治疗方案。关键的生物标志物,如甲胎蛋白(AFP)、高尔基糖蛋白 3(GPC3)和脱γ羧基凝血酶原(DCP),已显示出改善临床结果的潜力。蛋白质组学技术的进步,包括下一代测序(NGS)、质谱和液体活检检测循环肿瘤细胞(CTC)和循环肿瘤 DNA(ctDNA),加深了我们对 HCC 分子图谱的理解。免疫标志物,如 PD-L1 表达和肿瘤浸润淋巴细胞(TILs),在指导免疫治疗决策方面也起着至关重要的作用。尽管取得了这些进展,但生物标志物的验证、标准化、纳入临床实践以及与成本相关的障碍仍然存在。单细胞测序和机器学习等新兴技术为进一步探索提供了有前途的途径。继续投资于研究以及研究人员、医疗保健提供者和政策制定者之间的合作对于充分利用生物标志物的潜力至关重要,最终通过个性化治疗方法彻底改变 HCC 的管理并改善患者的预后。