A Myeloid Signature-Based Nomogram Predicts the Postoperative Recurrence of Intrahepatic Cholangiocarcinoma.

A Myeloid Signature-Based Nomogram Predicts the Postoperative Recurrence of Intrahepatic Cholangiocarcinoma.
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基于骨髓特征的列线图可预测肝内胆管癌的术后复发。

DOI:
10.3389/fmolb.2021.742953
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发表时间:
2021
影响因子:
5
通讯作者:
Wu C
Wu C
中科院分区:
生物学3区
文献类型:
--
作者:
Liang J;Zhou H;Huang XQ;Liu YF;Zhang L;He D;Cui Y;Guo J;Hu K;Wu C

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肝内胆管细胞癌(Intrahepatic cholangiocarcinoma,iCCA)是第二常见的肝脏恶性肿瘤,术后复发率高。最近,我们发现了一种基于CD 11b-CD 169的髓系反应评分(MRS),该评分在肝细胞癌(HCC)中显示出显著的预后潜力。本文旨在验证MRS在iCCA中的预后价值,并建立基于MRS的诺模图来预测iCCA患者的术后预后。2005年4月至2017年3月,共入组84例来自中山大学附属第三医院的患者。收集入组患者的术前临床信息和手术标本。其中,75例患者的组织通过了临床数据质量控制和染色质量控制。免疫组化法检测iCCA组织中CD 11b和CD 169蛋白的表达。Kaplan-Meier分析和受试者工作特征(ROC)曲线显示MRS对iCCA患者术后复发时间(TTR)具有较高的预测能力。通过考克斯比例风险回归分析选择了三个独立的风险因素,即MRS、肿瘤大小和血管浸润状态,以构建诺模图来预测切除手术后iCCA的复发。ROC曲线、校正分析和决策曲线分析(DCA)表明,该诺模图对预测术后复发具有显著的区分力、稳定性和临床实用性。总之,我们探讨了MRS在iCCA中的预后价值,并构建了一个基于MRS的列线图,这可能有助于预测术后复发,并有助于iCCA患者的临床决策。
Intrahepatic cholangiocarcinoma (iCCA) is the second most common cancer in liver, with a high recurrence rate after surgery. Recently, we identified a CD11b-CD169-based myeloid response score (MRS), which showed remarkable prognostic potential in hepatocellular carcinoma (HCC). Here, we aimed to verify the prognostic value of the MRS in iCCA and establish an MRS-based nomogram to predict the postoperative prognosis of iCCA patients. From April 2005 to March 2017, a total of 84 patients from the Third Affiliated Hospital of Sun Yat-sen University were enrolled. Preoperative clinical information and surgical specimens of enrolled patients were collected. Among these, tissues from 75 patients passed the clinical data quality control and the staining quality control. The protein expression of CD11b and CD169 in iCCA samples were detected by immunohistochemistry (IHC). Kaplan-Meier analysis and receiver operating characteristic (ROC) curves revealed that the MRS had a high discriminatory ability for predicting the time to recurrence (TTR) of iCCA patients after surgery. Three independent risk factors selected by a Cox proportional hazards regression analysis, namely, the MRS, the tumor size and the status of vascular invasion, were included to construct a nomogram to predict the recurrence of iCCA after resection surgery. ROC curves, calibration analysis and decision curve analysis (DCA) suggested that this nomogram had notable discriminatory power, stability and clinical usefulness in predicting the postoperative recurrence. Together, we explored the prognostic value of the MRS in iCCA, and constructed an MRS-based nomogram which may help to predict postoperative recurrence and aid clinical decisions for iCCA patients.
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