Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
Division of Surgical Oncology, Massachusetts General Hospital, Boston, Massachusetts.
Cancer. 2018 Aug 1;124(15):3084-3104. doi: 10.1002/cncr.31257. Epub 2018 Apr 17.
Molecular characterization of hepatocellular carcinoma (HCC) has greatly improved our understanding of disease pathogenesis. Mutational analysis, RNA and microRNA expression profiling, and epigenetic characterization have revealed common aberrations in oncogenes and tumor suppressors that correlate with disease biology and serve as a guide for the rational design of targeted therapies. These approaches have also led to the discovery of novel targets, including mutations in isocitrate dehydrogenase and chromatin remodeling enzymes. With the advent of immunotherapy, RNA expression profiling of the tumor microenvironment has identified a subset of HCC with high lymphocyte infiltration that may benefit from checkpoint inhibitor therapy. Molecular signatures thus capture the biology of a tumor, providing a supplement to current staging schema, which are based on tumor size and number, for more accurate prognostication of recurrence risk and survival. Molecular signatures may also be used to guide interventional therapy by defining those most suitable for transplantation or locoregional therapy rather than surgical resection. Finally, a multiomics approach involves the aggregation and analysis of multiple signatures for a more comprehensive characterization of pathogenic mechanisms. This broader approach attempts to address issues with signaling pathway cross-talk and redundancy, which have greatly limited the potential value of targeted therapies to date. Cancer 2018. © 2018 American Cancer Society.
肝癌(HCC)的分子特征极大地提高了我们对疾病发病机制的理解。突变分析、RNA 和 microRNA 表达谱分析以及表观遗传学特征揭示了与疾病生物学相关的致癌基因和肿瘤抑制基因的常见异常,为靶向治疗的合理设计提供了指导。这些方法还导致了新靶点的发现,包括异柠檬酸脱氢酶和染色质重塑酶的突变。随着免疫疗法的出现,对肿瘤微环境的 RNA 表达谱分析鉴定出了具有高淋巴细胞浸润的 HCC 亚群,这些亚群可能受益于检查点抑制剂治疗。因此,分子特征捕获了肿瘤的生物学特性,为目前基于肿瘤大小和数量的分期方案提供了补充,以便更准确地预测复发风险和生存。分子特征也可用于指导介入治疗,通过定义最适合移植或局部区域治疗而不是手术切除的患者来实现。最后,多组学方法涉及多个特征的聚合和分析,以更全面地描述发病机制。这种更广泛的方法试图解决信号通路交叉和冗余的问题,这些问题极大地限制了靶向治疗迄今为止的潜在价值。癌症 2018。© 2018 美国癌症协会。