Department of Clinical Oncology, Sir Y.K. Pao Centre for Cancer, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, China.
J Gastroenterol Hepatol. 2022 Jul;37(7):1197-1206. doi: 10.1111/jgh.15889. Epub 2022 May 25.
Systemic treatment for hepatocellular carcinoma (HCC) has been advancing rapidly over the last decade. More novel agents, including both targeted agents and immune checkpoint inhibitors, are available for physicians to use sequentially or concurrently for patients with advanced HCC. Despite more options, only a proportion of patients benefit from each regimen. Therefore, clinicians are facing challenges on how to choose the right regimen for the right patient with HCC, which raises the importance of personalized treatment approach. To advance personalized treatment for HCC, one approach relies on the acquisition of biomarker data from clinical trials to evaluate clinical parameters or genotypes in association with outcomes of selected drugs. This approach has led to finding of high baseline alpha-fetoprotein levels in association with benefits of ramucirumab. Cumulative findings from multiple clinical trials and translational studies also suggest that selected etiology and/or genotype of HCC could predict resistance to immune checkpoint inhibitors. The second approach is to decipher the tumor heterogeneity of HCC with an aim to identify clinically relevant patterns to guide clinical decisions. Tumor heterogeneity could exist within a single tumor (intra-tumoral heterogeneity), among different tumors in the same patient (inter-tumoral heterogeneity) or between primary and recurrent tumors (temporal tumor heterogeneity). The analyses of tumor heterogeneity have also been powered by coverage of tumor immune environment and incorporation of circulating tumor nucleic acid technology. Emerging publications have been reported above tumor heterogeneity exist in HCC, which is potentially clinically impactful.
在过去的十年中,肝细胞癌 (HCC) 的系统治疗取得了快速进展。越来越多的新型药物,包括靶向药物和免疫检查点抑制剂,可供医生用于晚期 HCC 患者的序贯或联合治疗。尽管选择更多,但每种方案只有一部分患者受益。因此,临床医生面临着如何为 HCC 患者选择正确方案的挑战,这凸显了个性化治疗方法的重要性。为了推进 HCC 的个性化治疗,一种方法依赖于从临床试验中获取生物标志物数据,以评估与选定药物相关的临床参数或基因型的结果。这种方法已经发现基线 alpha-胎蛋白水平较高与雷莫芦单抗的获益相关。多项临床试验和转化研究的累积结果还表明,HCC 的特定病因和/或基因型可能预测对免疫检查点抑制剂的耐药性。第二种方法是解析 HCC 的肿瘤异质性,目的是确定临床相关模式以指导临床决策。肿瘤内异质性存在于单个肿瘤内(肿瘤内异质性)、同一患者的不同肿瘤之间(肿瘤间异质性)或原发性和复发性肿瘤之间(时间肿瘤异质性)。肿瘤免疫环境的覆盖和循环肿瘤核酸技术的纳入也为肿瘤异质性的分析提供了动力。已报道了肿瘤异质性存在于 HCC 中,这可能具有潜在的临床影响。