Lee Seow Chong, Tan Hwee Tong, Chung Maxey Ching Ming
Seow Chong Lee, Hwee Tong Tan, Maxey Ching Ming Chung, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
World J Gastroenterol. 2014 Mar 28;20(12):3112-24. doi: 10.3748/wjg.v20.i12.3112.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death worldwide, with region specific etiologies. Despite improvements made in the diagnosis of HCC, the prognosis of HCC patients remains poor due to the high recurrence rate of HCC. There is an urgent need for development of prognostic biomarkers to predict the risk of recurrence in HCC patients after "curative" treatment. Such stratification may aid in patient management and development of personalized medicine for HCC treatment. Omics based studies facilitate the study of global changes in biomolecules in a disease in a high throughput manner, and hence are well poised to understand the complex changes which led to HCC recurrence. The quantitative nature of data obtained from omics based studies allow for development of prognostic biomarkers based on changes in gene, protein and metabolite expression. In this review, we surveyed the application of transcriptomics, proteomics and metabolomics in the study of HCC recurrence. We summarised the data in the literature from these three fields of studies that claimed to be prognostic for HCC recurrence. We critiqued on the limitations of each area of research and the challenges faced in translating the research results for clinical application in predicting HCC recurrence.
肝细胞癌(HCC)是全球癌症死亡的主要原因之一,其病因具有区域特异性。尽管HCC的诊断已有所改善,但由于HCC的高复发率,HCC患者的预后仍然很差。迫切需要开发预后生物标志物,以预测HCC患者在“根治性”治疗后复发的风险。这种分层可能有助于患者管理和开发用于HCC治疗的个性化药物。基于组学的研究有助于以高通量方式研究疾病中生物分子的全局变化,因此非常适合理解导致HCC复发的复杂变化。从基于组学的研究中获得的数据的定量性质允许基于基因、蛋白质和代谢物表达的变化开发预后生物标志物。在这篇综述中,我们调查了转录组学、蛋白质组学和代谢组学在HCC复发研究中的应用。我们总结了这三个研究领域中声称对HCC复发具有预后价值的文献数据。我们批评了每个研究领域的局限性以及将研究结果转化为临床应用以预测HCC复发所面临的挑战。