Bannaga Ayman, Metzger Jochen, Voigtländer Torsten, Pejchinovski Martin, Frantzi Maria, Book Thorsten, James Sean, Gopalakrishnan Kishore, Mischak Harald, Manns Michael P, Arasaradnam Ramesh P
Department of Gastroenterology and Hepatology, University Hospital, Coventry CV2 2DX, UK.
Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK.
Cancers (Basel). 2021 Jul 27;13(15):3786. doi: 10.3390/cancers13153786.
Hepatocellular carcinoma (HCC) is known to be associated with protein alterations and extracellular fibrous deposition. We investigated the urinary proteomic profiles of HCC patients in this prospective cross sectional multicentre study. 195 patients were recruited from the UK (Coventry) and Germany (Hannover) between 1 January 2013 and 30 June 2019. Out of these, 57 were HCC patients with a background of liver cirrhosis (LC) and 138 were non-HCC controls; 72 patients with LC, 57 with non-cirrhotic liver disease and 9 with normal liver function. Analysis of the urine samples was performed by capillary electrophoresis (CE) coupled to mass spectrometry (MS). Peptide sequences were obtained and 31 specific peptide markers for HCC were identified and further integrated into a multivariate classification model. The peptide model demonstrated 79.5% sensitivity and 85.1% specificity (95% CI: 0.81-0.93, < 0.0001) for HCC and 4.1-fold increased risk of death (95% CI: 1.7-9.8, = 0.0005). Proteases potentially involved in HCC progression were mapped to the N- and C-terminal sequence motifs of the CE-MS peptide markers. In silico protease prediction revealed that kallikrein-6 (KLK6) elicits increased activity, whilst Meprin A subunit α (MEP1A) has reduced activity in HCC compared to the controls. Tissue expression of KLK6 and MEP1A was subsequently verified by immunohistochemistry.
肝细胞癌(HCC)已知与蛋白质改变和细胞外纤维沉积有关。在这项前瞻性横断面多中心研究中,我们调查了HCC患者的尿液蛋白质组学特征。2013年1月1日至2019年6月30日期间,从英国(考文垂)和德国(汉诺威)招募了195名患者。其中,57名是有肝硬化(LC)背景的HCC患者,138名是非HCC对照;72名LC患者,57名非肝硬化肝病患者和9名肝功能正常者。尿液样本通过毛细管电泳(CE)与质谱(MS)联用进行分析。获得了肽序列,鉴定出31种HCC特异性肽标志物,并进一步整合到多变量分类模型中。该肽模型对HCC的敏感性为79.5%,特异性为85.1%(95%CI:0.81 - 0.93,<0.0001),死亡风险增加4.1倍(95%CI:1.7 - 9.8,=0.0005)。将可能参与HCC进展的蛋白酶定位到CE-MS肽标志物的N端和C端序列基序上。计算机蛋白酶预测显示,与对照组相比,激肽释放酶-6(KLK6)在HCC中的活性增加,而膜金属蛋白酶A亚基α(MEP1A)的活性降低。随后通过免疫组织化学验证了KLK6和MEP1A的组织表达。