He Chaobin, Zhao Chongyu, Zhang Yu, Chen Cheng, Lin Xiaojun
Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, People's Republic of China.
J Inflamm Res. 2021 May 11;14:1859-1872. doi: 10.2147/JIR.S311084. eCollection 2021.
The prognosis of patients with intrahepatic cholangiocarcinoma (ICC) after resection is at great variance. We aimed to establish a novel prognostic nomogram in facilitating the risk stratification for these patients.
A total of 82 high-dimensional radiological and pathological data were analyzed by LASSO-penalized Cox regression analyses and the panels with the best predictive performance were selected. Specific nomograms were established based on the selected panels and were validated in both primary (n=292) and validation cohorts (n=107). The area under the receiver operating characteristic curve (AUC) and the concordance index (C-index) were used to compare the predictive ability of nomograms and other staging systems.
The modified Glasgow Prognostic Score (mGPS) was identified as the prognostic factor for both overall survival (OS) and progression-free survival (PFS). The nomograms built on the prognostic factors showed powerful efficacy in survival prediction, with C-indexes of 0.800 (95% CI 0.767-0.833) and 0.752 (95% CI 0.718-0.786) for OS and PFS in the primary cohort, 0.659 (95% CI 0.586-0.732) and 0.638 (95% CI 0.571-0.705) for OS and PFS in the validation cohort, respectively. Compared with tumor-node-metastasis stage, Barcelona Clinic Liver Cancer staging score, Cancer of the Liver Italian Program score, and Okuda staging system, the nomograms had significantly higher values of AUC and C-indexes in survival prediction in the primary and validation cohorts.
Compared with currently used staging systems, the nomograms showed significantly higher efficacy in predicting survival of ICC patients after resection. The nomograms provide new versions of personalized management for these patients.
肝内胆管癌(ICC)患者切除术后的预后差异很大。我们旨在建立一种新的预后列线图,以促进对这些患者进行风险分层。
通过LASSO惩罚Cox回归分析对总共82项高维放射学和病理学数据进行分析,并选择具有最佳预测性能的指标组合。基于所选指标组合建立特定的列线图,并在原发性队列(n = 292)和验证队列(n = 107)中进行验证。采用受试者工作特征曲线下面积(AUC)和一致性指数(C指数)来比较列线图和其他分期系统的预测能力。
改良格拉斯哥预后评分(mGPS)被确定为总生存期(OS)和无进展生存期(PFS)的预后因素。基于这些预后因素构建的列线图在生存预测方面显示出强大的功效,原发性队列中OS和PFS的C指数分别为0.800(95%CI 0.767 - 0.833)和0.752(95%CI 0.718 - 0.786),验证队列中OS和PFS的C指数分别为0.659(95%CI 0.586 - 0.732)和0.638(95%CI 0.571 - 0.705)。与肿瘤-淋巴结-转移分期、巴塞罗那临床肝癌分期评分、意大利肝癌计划评分和奥田分期系统相比,列线图在原发性队列和验证队列的生存预测中具有显著更高的AUC和C指数值。
与目前使用的分期系统相比,列线图在预测ICC患者切除术后的生存方面显示出显著更高的功效。这些列线图为这些患者提供了新的个性化管理方案。