Combination of an Autoantibody Panel and Alpha-Fetoprotein for Early Detection of Hepatitis B Virus-Associated Hepatocellular Carcinoma.

Yajing Shen, Jiajun Chen, Jinyu Wu, Tiandong Li, Chuncheng Yi, Keyan Wang, Peng Wang, Changqing Sun, Hua Ye
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Abstract

The purpose of this study was to identify biomarkers associated with hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) and to develop a new combination with good diagnostic performance. This study was divided into four phases: discovery, verification, validation, and modeling. A total of four candidate tumor-associated autoantibodies (TAAb; anti-ZIC2, anti-PCNA, anti-CDC37L1, and anti-DUSP6) were identified by human proteome microarray (52 samples) and bioinformatics analysis. Subsequently, these candidate TAAbs were further confirmed by indirect ELISA with two testing cohorts (120 samples for verification and 663 samples for validation). The AUC for these four TAAbs to identify patients with HBV-HCC from chronic hepatitis B (CHB) patients ranged from 0.693 to 0.739. Finally, a diagnostic panel with three TAAbs (anti-ZIC2, anti-CDC37L1, and anti-DUSP6) was developed. This panel showed superior diagnostic efficiency in identifying early HBV-HCC compared with alpha-fetoprotein (AFP), with an AUC of 0.834 [95% confidence interval (CI), 0.772-0.897] for this panel and 0.727 (95% CI, 0.642-0.812) for AFP (P = 0.0359). In addition, the AUC for this panel to identify AFP-negative patients with HBV-HCC was 0.796 (95% CI, 0.734-0.858), with a sensitivity of 52.4% and a specificity of 89.0%. Importantly, the panel in combination with AFP significantly increased the positive rate for early HBV-HCC to 84.1% (P = 0.005) and for late HBV-HCC to 96.3% (P < 0.001). Our findings suggest that AFP and the autoantibody panel may be independent but complementary serologic biomarkers for HBV-HCC detection.

Prevention relevance: We developed a robust diagnostic panel for identifying patients with HBV-HCC from patients with CHB. This autoantibody panel provided superior diagnostic performance for HBV-HCC at an early stage and/or with negative AFP results. Our findings suggest that AFP and the autoantibody panel may be independent but complementary biomarkers for HBV-HCC detection.

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结合自身抗体面板和甲胎蛋白,早期检测乙型肝炎病毒相关性肝细胞癌。
本研究的目的是确定与乙型肝炎病毒相关性肝细胞癌(HBV-HCC)相关的生物标志物,并开发一种具有良好诊断性能的新组合。这项研究分为四个阶段:发现、验证、确认和建模。通过人类蛋白质组芯片(52个样本)和生物信息学分析,共发现了四种候选肿瘤相关自身抗体(TAAbs)(抗ZIC2、抗PCNA、抗CDC37L1和抗DUSP6)。随后,通过间接酶联免疫吸附试验(ELISA)对这些候选 TAAbs 进行了进一步确认,共进行了两次检测(120 个样本用于验证,663 个样本用于确认)。这四种 TAAbs 从慢性乙型肝炎(CHB)患者中识别 HBV-HCC 患者的曲线下面积(AUC)为 0.693-0.739。最后,我们开发出了一个包含三种 TAAbs(抗 ZIC2、抗 CDC37L1 和抗 DUSP6)的诊断面板。与甲胎蛋白相比,该面板在识别早期 HBV-HCC 方面显示出更高的诊断效率,其 AUC 为 0.834(95% CI [置信区间]:0.772-0.897),而甲胎蛋白为 0.727(95% CI:0.642-0.812)(P=0.0359)。此外,该面板识别 AFP 阴性 HBV-HCC 患者的 AUC 为 0.796(95% CI:0.734-0.858),灵敏度为 52.4%,特异性为 89.0%。重要的是,该检测小组与 AFP 联用可将早期 HBV-HCC 的阳性率显著提高到 84.1%(P=0.005),将晚期 HBV-HCC 的阳性率显著提高到 96.3%(P=0.006)。
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