Dieu-Merci Menene Nkonika, Hu Jihong, Fang Xinyi, Zhao Renjie, Xie Xiaojie, Pan Wenqiu, Aayush Thapa, Yin Fang, Xingyue Hu, Han Dan
Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Transl Cancer Res. 2024 Nov 30;13(11):5929-5942. doi: 10.21037/tcr-24-958. Epub 2024 Nov 14.
BACKGROUND: Alpha-fetoprotein-to-PIVKA-II ratio (APR) may serve as a new marker to predict the grade of differentiation, imaging characteristics, and prognosis of hepatocellular carcinoma (HCC). This study aimed to demonstrate the prognostic significance of high APR for poorly differentiated HCC (PD-HCC), imaging characteristics and overall survival (OS) in patients after intra-arterial therapies. METHODS: Receiver operating characteristic (ROC) curves were constructed and areas under the curve (AUCs) were calculated to evaluate the predictive ability of APR to discriminate subgroup(s) of HCC with good or poor prognosis. Kaplan-Meier survival analysis was performed to evaluate the effect of tumor differentiation and change in APR on overall patient survival. RESULTS: The cut-off value of APR used in the diagnostic setting was 0.175. Almost all patients in the PD-HCC group (90.9%) had a high APR value, while 100% and 84.2% of well-differentiated and moderately differentiated HCC (WD-HCC and MD-HCC) patients, respectively, had a low APR value (P<0.001). APR had a high sensitivity (91%) and specificity (90%) in differentiating PD-HCCs from WD-HCCs/MD-HCCs (P<0.001). Patients with high APR tended to have large and multiple tumors, vascular invasion and high percentage signal ratio (PSR). OS was slightly shorter in the PD-HCC group and in the high (>0.175) APR group. CONCLUSIONS: This study showed that patients with high APR and those with PD-HCC had a worse prognosis, and APR could be an important non-invasive biomarker for predicting the degree of tumor differentiation, imaging characteristics and patient prognosis.
背景:甲胎蛋白与异常凝血酶原-II 比值(APR)可能作为预测肝细胞癌(HCC)分化程度、影像学特征及预后的新标志物。本研究旨在探讨高APR对低分化HCC(PD-HCC)的预后意义、影像学特征以及动脉内治疗后患者的总生存期(OS)。 方法:构建受试者工作特征(ROC)曲线并计算曲线下面积(AUC),以评估APR区分预后良好或不良HCC亚组的预测能力。采用Kaplan-Meier生存分析评估肿瘤分化及APR变化对患者总生存期的影响。 结果:诊断时使用的APR临界值为0.175。PD-HCC组几乎所有患者(90.9%)APR值较高,而高分化和中分化HCC(WD-HCC和MD-HCC)患者分别有100%和84.2%的APR值较低(P<0.001)。APR在区分PD-HCC与WD-HCC/MD-HCC时具有较高的敏感性(91%)和特异性(90%)(P<0.001)。APR值高的患者往往有大的和多发肿瘤、血管侵犯及高百分比信号比(PSR)。PD-HCC组和APR高(>0.175)组的OS略短。 结论:本研究表明,APR值高的患者和PD-HCC患者预后较差,APR可能是预测肿瘤分化程度、影像学特征及患者预后的重要非侵入性生物标志物。
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