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通过上皮细胞粘附分子和磷脂酰肌醇蛋白聚糖-3状态定义的具有侵袭相关标志物表达的肝细胞癌预测中的MRI参数及临床病理特征

MRI Parameters and Clinicopathologic Features in Predicting Hepatocellular Carcinomas With Aggressive-Related Marker Expression, Defined by Epithelial Cell Adhesion Molecule and Glypican-3 Status.

作者信息

Li YanZhuo, Huo Lei, Liu LianLian, Jia NingYang, Song Bin

机构信息

Department of Radiology, Minhang Hospital, Fudan University, Shanghai City, 201100, People's Republic of China.

Department of Radiology, The Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai City, 200438, People's Republic of China.

出版信息

Int J Gen Med. 2025 Mar 26;18:1691-1708. doi: 10.2147/IJGM.S502309. eCollection 2025.

Abstract

OBJECTIVE

Epithelial cell adhesion molecule (EpCAM) and glypican-3 (GPC3) are associated with a poor survival rate in hepatocellular carcinoma (HCC). Predicting aggressive HCC non-invasively should be investigated using preoperative gadoxetic acid-enhanced MRI and clinical characteristics.

METHODS

This retrospective study examined 134 patients with confirmed cases of HCC who had undergone gadolinic acid-enhanced MRI before surgery. The data were collected between November 2017 and December 2021. Significant parameters were subjected to quantitative analysis and univariate testing. HCC characterized by poor differentiation and progenitor traits was identified by the positive expression of EpCAM and/or GPC3. Independent influencing variables for different subtypes of invasive HCC were identified by multivariate analysis. The diagnostic performance of variables was measured using ROC analysis.

RESULTS

Cases with EpCAM and GPC3 expression were classified into four subtypes based on IHC staining. Among them, EpCAM+/GPC3+ HCC had the highest risk. Significant predictors of HCC expressing aggressive markers included tumor size ( = 0.01), AFP level ( = 0.008), MVI ( = 0.003), satellite nodule ( = 0.002), proliferative pattern ( = 0.04), and arterial peripheral enhancement ( = 0.03). By integrating all of these relevant variables, the resulting diagnostic accuracy was enhanced to 0.914 (95% CI 0.830-0.960) with a sensitivity of 0.964 (95% CI 0.922-1.000) and a specificity of 0.833 (95% CI 0.365-0.911).

CONCLUSION

The research demonstrated that combining biochemical and radiological data allows for accurate prognosis and patient management, along with non-invasive detection of aggressive HCC with high accuracy.

摘要

目的

上皮细胞粘附分子(EpCAM)和磷脂酰肌醇蛋白聚糖-3(GPC3)与肝细胞癌(HCC)的低生存率相关。应利用术前钆塞酸二钠增强磁共振成像(MRI)和临床特征对侵袭性HCC进行无创预测研究。

方法

这项回顾性研究检查了134例确诊为HCC且术前接受过钆剂增强MRI检查的患者。数据收集于2017年11月至2021年12月之间。对重要参数进行定量分析和单变量检验。通过EpCAM和/或GPC3的阳性表达来识别具有低分化和祖细胞特征的HCC。通过多变量分析确定侵袭性HCC不同亚型的独立影响变量。使用ROC分析来衡量变量的诊断性能。

结果

根据免疫组化染色,将EpCAM和GPC3表达的病例分为四种亚型。其中,EpCAM+/GPC3+HCC风险最高。表达侵袭性标志物的HCC的重要预测指标包括肿瘤大小(P = 0.01)、甲胎蛋白水平(P = 0.008)、微血管侵犯(P = 0.003)、卫星结节(P = 0.002)、增殖模式(P = 0.04)和动脉周围强化(P = 0.03)。通过整合所有这些相关变量,诊断准确性提高到0.914(95%可信区间0.830 - 0.960),敏感性为0.964(95%可信区间0.922 - 1.000),特异性为0.833(95%可信区间0.365 - 0.911)。

结论

该研究表明,结合生化和放射学数据能够实现准确的预后评估和患者管理,同时对侵袭性HCC进行高精度的无创检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3c/11955402/904f885d7b2f/IJGM-18-1691-g0001.jpg

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