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不可切除肝细胞癌中免疫检查点抑制剂联合抗血管生成药物的预后模型。

Prognostic model of immune checkpoint inhibitors combined with anti-angiogenic agents in unresectable hepatocellular carcinoma.

机构信息

Department of Cancer Center, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

出版信息

Front Immunol. 2022 Dec 1;13:1060051. doi: 10.3389/fimmu.2022.1060051. eCollection 2022.

Abstract

BACKGROUND

The combination of immune checkpoint inhibitors (ICIs) and anti-angiogenic agents has shown promising efficacy in unresectable hepatocellular carcinoma (HCC), but until now no clinical prognostic models or predictive biomarkers have been established.

METHODS

From 2016 to 2021, a total of 258 HCCs treated with ICIs and tyrosine kinase inhibitors (TKIs) were retrospectively enrolled, as the study cohort. Patients' baseline data was extracted by least absolute and shrinkage selection operator (LASSO) and Cox regression. Finally, a prognostic model in the form of nomogram was developed. Model performance was assessed in terms of discrimination, calibration, and clinical utility. A 5-fold cross-validation was used to evaluate the internal repeatability of the model. In addition, the patient cohort was divided into three subgroups according to nomogram scores. Their survivals were estimated by Kaplan-Meier methods and the differences were analyzed using log-rank tests.

RESULTS

Seven clinical parameters were selected: Eastern Cooperative Oncology Group performance status (ECOG PS), combination of transarterial chemoembolization (TACE), extrahepatic metastasis (EHM), platelet to lymphocyte ratio (PLR), alanine aminotransferase (ALT), alpha-fetoprotein (AFP), and Child-Pugh score. The model had an area under the curve (AUC) of 0.777 at 1 year and 0.772 at 2 years. Receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) showed that the discrimination, consistency and applicability of the model were good. In addition, cross-validation validated the discrimination of the model, and the C index value of the model is 0.7405. The median overall survival (OS) of the high-, medium- and low-risk subgroups was 7.58, 17.50 and 53.17 months, respectively, with a significant difference between the groups (P < 0.0001).

CONCLUSION

We developed a comprehensive and simple prognostic model for the combination of ICIs plus TKIs. And it may predict the efficacy of the combination regimen for unresectable HCC.

摘要

背景

免疫检查点抑制剂(ICIs)与抗血管生成药物联合治疗不可切除的肝细胞癌(HCC)显示出了令人鼓舞的疗效,但到目前为止,尚未建立临床预后模型或预测生物标志物。

方法

回顾性纳入 2016 年至 2021 年期间接受 ICI 和酪氨酸激酶抑制剂(TKI)治疗的 258 例 HCC 患者作为研究队列。采用最小绝对值和收缩选择算子(LASSO)和 Cox 回归提取患者的基线数据。最后,以列线图的形式建立预后模型。通过区分度、校准和临床实用性来评估模型的性能。采用 5 折交叉验证评估模型的内部可重复性。此外,根据列线图评分将患者队列分为三个亚组。通过 Kaplan-Meier 方法估计各组的生存率,并采用对数秩检验分析差异。

结果

筛选出 7 个临床参数:东部肿瘤协作组体能状态(ECOG PS)、经动脉化疗栓塞(TACE)联合治疗、肝外转移(EHM)、血小板与淋巴细胞比值(PLR)、丙氨酸氨基转移酶(ALT)、甲胎蛋白(AFP)和 Child-Pugh 评分。模型在 1 年和 2 年的曲线下面积(AUC)分别为 0.777 和 0.772。受试者工作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)表明,该模型具有良好的区分度、一致性和适用性。此外,交叉验证验证了模型的区分度,模型的 C 指数值为 0.7405。高、中、低风险亚组的中位总生存期(OS)分别为 7.58、17.50 和 53.17 个月,组间差异有统计学意义(P<0.0001)。

结论

我们建立了一个全面而简单的 ICI 联合 TKI 治疗不可切除 HCC 的预后模型,它可能可以预测该联合方案治疗不可切除 HCC 的疗效。

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