Sun Stella, Lee Nikki P Y, Poon Ronnie T P, Fan Sheung-Tat, He Qing Y, Lau George K, Luk John M
Department of Surgery, LKS Faculty of Medicine, Jockey Club Clinical Research Center, The University of Hong Kong, Pokfulam, Hong Kong.
Liver Int. 2007 Oct;27(8):1021-38. doi: 10.1111/j.1478-3231.2007.01533.x.
Hepatocellular carcinoma (HCC) is a heterogeneous cancer with no promising treatment and remains one of the most prevailing and lethal malignancies in the world. Researchers in many biological areas now routinely identify and characterize protein markers by a mass spectrometry-based proteomic approach, a method that has been commonly used to discover diagnostic biomarkers for cancer detection. The proteomic research platforms span from the classical two-dimensional polyacrylamide gel electrophoresis (2-DE) to the latest Protein Chip or array technology, which are often integrated with the MALDI (matrix-assisted laser-desorption ionization), SELDI (surface-enhanced laser desorption/ionization) or tandem mass spectrometry (MS/MS). New advances on quantitative proteomic analysis (e.g. SILAC, ICAT, and ITRAQ) and multidimensional protein identification technology (MudPIT) have greatly enhanced the capability of proteomic methods to study the expressions, modifications and functions of protein markers. The present article reviews the latest proteomic development and discovery of biomarkers in HCC that may provide insights into the underlying mechanisms of hepatocarcinogenesis and the readiness of biomarkers for clinical uses.
肝细胞癌(HCC)是一种异质性癌症,目前尚无有效的治疗方法,仍是全球最常见且致命的恶性肿瘤之一。现在,许多生物学领域的研究人员通常采用基于质谱的蛋白质组学方法来识别和表征蛋白质标志物,该方法已被广泛用于发现癌症检测的诊断生物标志物。蛋白质组学研究平台涵盖从经典的二维聚丙烯酰胺凝胶电泳(2-DE)到最新的蛋白质芯片或阵列技术,这些技术通常与基质辅助激光解吸电离(MALDI)、表面增强激光解吸/电离(SELDI)或串联质谱(MS/MS)相结合。定量蛋白质组学分析(如稳定同位素标记氨基酸法、同位素标记亲和标签法和等压标签相对和绝对定量法)和多维蛋白质鉴定技术(MudPIT)的新进展极大地提高了蛋白质组学方法研究蛋白质标志物的表达、修饰和功能的能力。本文综述了肝癌蛋白质组学的最新进展以及生物标志物的发现,这些研究可能为肝癌发生的潜在机制提供见解,并为生物标志物的临床应用做好准备。