Preoperative prediction of glypican-3 positive expression in solitary hepatocellular carcinoma on gadoxetate-disodium enhanced magnetic resonance imaging.

Preoperative prediction of glypican-3 positive expression in solitary hepatocellular carcinoma on gadoxetate-disodium enhanced magnetic resonance imaging.
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DOI:
10.3389/fimmu.2022.973153
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发表时间:
2022
影响因子:
7.3
通讯作者:
--
中科院分区:
医学2区
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glypican-3 (GPC-3)作为Wnt和HGF信号传导的辅助受体,在肝细胞癌(HCC)中促进肿瘤进展并与预后不良相关。GPC-3已经发展成为各种免疫疗法的靶分子,包括嵌合抗原受体T细胞。然而,其评估仍依赖于侵入性组织病理学检查。因此,我们的目标是开发一种易于使用且无创的风险评分,结合术前加多西酸增强磁共振成像(EOB-MRI)和临床指标来预测HCC中GPC-3的阳性表达。回顾性纳入2016年1月至2021年11月期间接受术前EOB-MRI检查的连续手术确诊的孤立性HCC患者。EOB-MRI特征由两名隐蔽腹部放射科医生独立评估,GPC-3的表达由两名肝脏病理学家检测。在训练数据集上,通过逻辑回归分析,开发了针对病理的GPC-3预测评分系统。模型的性能用接收机工作特性曲线下的计算面积来表征。共纳入278例单发HCC患者(训练组,n=156;内部验证组,n=39;外部验证组,n=83)(208例[75%]GPC-3阳性表达)。血清甲胎蛋白>10 ng/ml (AFP,比值比[OR]=2.3, 4分)和5项EOB-MR影像学特征,包括肿瘤大小>3.0cm (OR=0.5, -3分)、非外周“洗脱”(OR=3.0, 5分)、浸润性外观(OR=9.3, 10分)、明显的扩散限制(OR=3.3, 5分)、固体肿块铁保留(OR=0.2, -7分)均与GPC-3阳性表达显著相关。评分系统预测GPC-3阳性表达的最佳阈值为5.5分,内部验证集和外部验证集的AUC分别为0.726和0.681。基于血清AFP和5项EOB-MRI特征,我们开发了一种易于使用且无创的风险评分方法,可以准确预测GPC-3阳性HCC,这可能有助于确定GPC-3靶向免疫治疗的潜在应答者。
As a coreceptor in Wnt and HGF signaling, glypican-3 (GPC-3) promotes the progression of tumor and is associated with a poor prognosis in hepatocellular carcinoma (HCC). GPC-3 has evolved as a target molecule in various immunotherapies, including chimeric antigen receptor T cell. However, its evaluation still relies on invasive histopathologic examination. Therefore, we aimed to develop an easy-to-use and noninvasive risk score integrating preoperative gadoxetic acid–enhanced magnetic resonance imaging (EOB-MRI) and clinical indicators to predict positive GPC-3 expression in HCC. Consecutive patients with surgically-confirmed solitary HCC who underwent preoperative EOB-MRI between January 2016 and November 2021 were retrospectively included. EOB-MRI features were independently evaluated by two masked abdominal radiologists and the expression of GPC-3 was determined by two liver pathologists. On the training dataset, a predictive scoring system for GPC-3 was developed against pathology via logistical regression analysis. Model performances were characterized by computing areas under the receiver operating characteristic curve (AUCs). A total of 278 patients (training set, n=156; internal validation set, n=39; external validation set, n=83) with solitary HCC (208 [75%] with positive GPC-3 expression) were included. Serum alpha-fetoprotein >10 ng/ml (AFP, odds ratio [OR]=2.3, four points) and five EOB-MR imaging features, including tumor size >3.0cm (OR=0.5, -3 points), nonperipheral “washout” (OR=3.0, five points), infiltrative appearance (OR=9.3, 10 points), marked diffusion restriction (OR=3.3, five points), and iron sparing in solid mass (OR=0.2, -7 points) were significantly associated with positive GPC-3 expression. The optimal threshold of scoring system for predicting GPC-3 positive expression was 5.5 points, with AUC 0.726 and 0.681 on the internal and external validation sets, respectively. Based on serum AFP and five EOB-MRI features, we developed an easy-to-use and noninvasive risk score which could accurately predict positive GPC-3 HCC, which may help identify potential responders for GPC-3-targeted immunotherapy.
DOI: 10.1371/journal.pone.0137664
发表时间: 2015
期刊: PloS one
影响因子: 3.7
作者:
Gao W;Kim H;Ho M
通讯作者: Ho M
人类抗体对Wnt信号的失活,该抗体识别肝癌治疗的Glypican-3硫酸盐链。
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期刊: HEPATOLOGY
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发表时间: 2021
影响因子: 4.7
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Liao B;Liu L;Wei L;Wang Y;Chen L;Cao Q;Zhou Q;Xiao H;Chen S;Peng S;Li S;Kuang M
通讯作者: Kuang M