Ward D G, Cheng Y, N'Kontchou G, Thar T T, Barget N, Wei W, Billingham L J, Martin A, Beaugrand M, Johnson P J
Cancer Research UK Institute for Cancer Studies, School of Medicine, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Br J Cancer. 2006 Jan 30;94(2):287-92. doi: 10.1038/sj.bjc.6602923.
Early diagnosis of hepatocellular carcinoma (HCC) is the key to the delivery of effective therapies. The conventional serological diagnostic test, estimation of serum alpha-fetoprotein (AFP) lacks both sensitivity and specificity as a screening tool and improved tests are needed to complement ultrasound scanning, the major modality for surveillance of groups at high risk of HCC. We have analysed the serum proteome of 182 patients with hepatitis C-induced liver cirrhosis (77 with HCC) by surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI). The patients were split into a training set (84 non-HCC, 60 HCC) and a 'blind' test set (21 non-HCC, 17 HCC). Neural networks developed on the training set were able to classify the blind test set with 94% sensitivity (95% CI 73-99%) and 86% specificity (95% CI 65-95%). Two of the SELDI peaks (23/23.5 kDa) were elevated by an average of 50% in the serum of HCC patients (P<0.001) and were identified as kappa and lambda immunoglobulin light chains. This approach may permit identification of several individual proteins, which, in combination, may offer a novel way to diagnose HCC.
肝细胞癌(HCC)的早期诊断是实施有效治疗的关键。传统的血清学诊断测试,即血清甲胎蛋白(AFP)测定,作为一种筛查工具,既缺乏敏感性也缺乏特异性,因此需要改进测试方法以补充超声扫描,超声扫描是监测HCC高危人群的主要手段。我们通过表面增强激光解吸/电离飞行时间质谱(SELDI)分析了182例丙型肝炎所致肝硬化患者(77例患有HCC)的血清蛋白质组。患者被分为一个训练集(84例非HCC患者,60例HCC患者)和一个“盲法”测试集(21例非HCC患者,17例HCC患者)。基于训练集建立的神经网络能够以94%的敏感性(95%CI 73-99%)和86%的特异性(95%CI 65-95%)对盲法测试集进行分类。两个SELDI峰(23/23.5 kDa)在HCC患者血清中平均升高了50%(P<0.001),并被鉴定为κ和λ免疫球蛋白轻链。这种方法可能有助于识别多种个体蛋白质,这些蛋白质结合起来可能提供一种诊断HCC的新方法。