Tan Yifei, Zhu Jianhui, Gutierrez Reyes Cristian D, Lin Yu, Tan Zhijing, Wu Zuowei, Zhang Jie, Cano Alva, Verschleisser Sara, Mechref Yehia, Singal Amit G, Parikh Neehar D, Lubman David M
Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610017, China.
Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan 48109, United States.
ACS Omega. 2023 Mar 21;8(13):12467-12480. doi: 10.1021/acsomega.3c00519. eCollection 2023 Apr 4.
Aberrant changes in site-specific core fucosylation (CF) of serum proteins contribute to cancer development and progression, which enables them as potential diagnostic markers of tumors. An optimized data-dependent acquisition (DDA) workflow involving isobaric tags for relative and absolute quantitation-labeling and enrichment of CF peptides by lens culinaris lectin was applied to identify CF of serum proteins in a test set of patients with nonalcoholic steatohepatitis (NASH)-related cirrhosis ( = 16) and hepatocellular carcinoma (HCC, = 17), respectively. A total of 624 CF peptides from 343 proteins, with 683 CF sites, were identified in our DDA-mass spectrometry (MS) analysis. Subsequently, 19 candidate CF peptide markers were evaluated by a target parallel reaction-monitoring-MS workflow in a validation set of 58 patients, including NASH-related cirrhosis ( = 29), early-stage HCC ( = 21), and late-stage HCC ( = 8). Significant changes ( < 0.01) were observed in four CF peptides between cirrhosis and HCC, where peptide LGSFEGLVnLTFIHLQHNR from LUM in combination with AFP showed the best diagnostic performance in discriminating HCC from cirrhosis, with an area under curve (AUC) of 0.855 compared to AFP only (AUC = 0.717). This peptide in combination with AFP also significantly improved diagnostic performance in distinguishing early HCC from cirrhosis, with an AUC of 0.839 compared to AFP only (AUC = 0.689). Validation of this novel promising biomarker panel in larger cohorts should be performed.
血清蛋白位点特异性核心岩藻糖基化(CF)的异常变化有助于癌症的发生和发展,这使其成为肿瘤潜在的诊断标志物。我们应用了一种优化的数据依赖型采集(DDA)工作流程,该流程涉及用于相对和绝对定量的等压标签标记以及通过豆凝集素对CF肽进行富集,以分别鉴定非酒精性脂肪性肝炎(NASH)相关肝硬化患者(n = 16)和肝细胞癌(HCC,n = 17)测试组中血清蛋白的CF。在我们的DDA质谱(MS)分析中,共鉴定出343种蛋白质的624条CF肽,具有683个CF位点。随后,在58例患者的验证集中,通过目标平行反应监测-MS工作流程对19种候选CF肽标志物进行了评估,这些患者包括NASH相关肝硬化(n = 29)、早期HCC(n = 21)和晚期HCC(n = 8)。在肝硬化和HCC之间的四种CF肽中观察到显著变化(P < 0.01),其中来自LUM的肽LGSFEGLVnLTFIHLQHNR与AFP联合使用时,在区分HCC和肝硬化方面表现出最佳诊断性能,曲线下面积(AUC)为0.855,而仅使用AFP时AUC为0.717。该肽与AFP联合使用在区分早期HCC和肝硬化方面也显著提高了诊断性能,AUC为0.839,而仅使用AFP时AUC为0.689。应在更大的队列中对这一有前景的新型生物标志物组合进行验证。