UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, United States.
School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
World J Gastroenterol. 2023 Feb 7;29(5):780-799. doi: 10.3748/wjg.v29.i5.780.
The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, including real-time quantitative reverse transcription PCR, microarrays, and RNA sequencing, has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene signatures. In recent years, the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment, which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic targets. In the present article, we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains: primary cancer cells; carcinogenic stimuli; and tumor microenvironment. We provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics, surveillance, and treatment of HCC recurrence.
尽管手术技术和其他局部肝脏靶向治疗取得了进展,但肝细胞癌 (HCC) 复发的高发生率对接受根治性治疗的患者的预后产生了负面影响。在过去的几十年中,转录组分析工具的出现,包括实时定量逆转录 PCR、微阵列和 RNA 测序,不仅大大促进了我们对复发性 HCC 发病机制的了解,而且还基于差异表达基因特征开发了预后预测模型。近年来,单细胞 RNA 测序技术极大地提高了我们研究癌细胞与免疫环境之间复杂相互作用的能力,这可能有助于进一步研究不同免疫细胞在 HCC 复发中的作用,并确定潜在的治疗靶点。在本文中,我们总结了这些转录组方法在一个由三个领域组成的因果模型框架内得出的主要发现:原发性癌细胞;致癌刺激;和肿瘤微环境。我们全面回顾了转录组分析在 HCC 复发的诊断、监测和治疗方面提供的见解。