Yao Wang, Wei Ran, Jia Jia, Li Wang, Zuo Mengxuan, Zhuo Shuqing, Shi Ge, Wu Peihong, An Chao
Department of Interventional Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Province Guangdong, P.R. China.
Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
Ther Adv Med Oncol. 2023 Apr 17;15:17588359231163845. doi: 10.1177/17588359231163845. eCollection 2023.
Hepatic arterial infusion chemotherapy (HAIC) using the FOLFOX regimen (oxaliplatin plus fluorouracil and leucovorin) is a promising option for large hepatocellular carcinoma (HCC). However, post-HAIC prognosis can vary in different patients due to tumor heterogeneity. Herein, we established two nomogram models to assess the survival prognosis of patients after HAIC combination therapy.
A total of 1082 HCC patients who underwent initial HAIC were enrolled between February 2014 and December 2021. We built two nomogram models for survival prediction: the preoperative nomogram (pre-HAICN) using preoperative clinical data and the postoperative nomogram (post-HAICN) based on pre-HAICN and combination therapy. The two nomogram models were internally validated in one hospital and externally validated in four hospitals. A multivariate Cox proportional hazards model was used to identify risk factors for overall survival (OS). The performance outcomes of all models were compared by area under the receiver operating characteristic curve (AUC) analysis with the DeLong test.
Multivariable analysis identified larger tumor size, vascular invasion, metastasis, high albumin-bilirubin grade, and high alpha-fetoprotein as indicators for poor prognosis. With these variables, the pre-HAICN provided three risk strata for OS in the training cohort: low risk (5-year OS, 44.9%), middle risk (5-year OS, 20.6%), and high risk (5-year OS, 4.9%). The discrimination of the three strata was improved significantly in the post-HAICN, which included the above-mentioned factors and number of sessions, combination with immune checkpoint inhibitors, tyrosine kinase inhibitors, and local therapy (AUC, 0.802 0.811, < 0.001).
The nomogram models are essential to identify patients with large HCC suitable for treatment with HAIC combination therapy and may potentially benefit personalized decision-making.
Hepatic arterial infusion chemotherapy (HAIC) provides sustained higher concentrations of chemotherapy agents in large hepatocellular carcinoma (HCC) by hepatic intra-arterial, result in better objective response outperformed the intravenous administration. HAIC is significantly correlated with favorable survival outcome and obtains extensive support in the effective and safe treatment of intermediate advanced-stage HCC. In view of the high heterogeneity of HCC, there is no consensus regarding the optimal tool for risk stratification before HAIC alone or HAIC combined with tyrosine kinase inhibitors or immune checkpoint inhibitors treatment in HCC. In this large collaboration, we established two nomogram models to estimate the prognosis and evaluate the survival benefits with different HAIC combination therapy. It could help physicians in decision-making before HAIC and comprehensive treatment for large HCC patients in clinical practice and future trials.
采用FOLFOX方案(奥沙利铂联合氟尿嘧啶和亚叶酸钙)的肝动脉灌注化疗(HAIC)是治疗大型肝细胞癌(HCC)的一种有前景的选择。然而,由于肿瘤异质性,HAIC治疗后的预后在不同患者中可能有所不同。在此,我们建立了两个列线图模型来评估HAIC联合治疗后患者的生存预后。
2014年2月至2021年12月期间,共有1082例接受初始HAIC治疗的HCC患者入组。我们构建了两个用于生存预测的列线图模型:使用术前临床数据的术前列线图(pre-HAICN)和基于pre-HAICN及联合治疗的术后列线图(post-HAICN)。这两个列线图模型在一家医院进行了内部验证,并在四家医院进行了外部验证。采用多变量Cox比例风险模型来识别总生存(OS)的危险因素。通过受试者操作特征曲线(AUC)分析和DeLong检验比较所有模型的性能结果。
多变量分析确定肿瘤体积较大、血管侵犯、转移、高白蛋白-胆红素分级和高甲胎蛋白为预后不良的指标。基于这些变量,pre-HAICN在训练队列中为OS提供了三个风险分层:低风险(5年OS,44.9%)、中风险(5年OS,20.6%)和高风险(5年OS,4.9%)。在post-HAICN中,这三个分层的辨别能力显著提高,该模型纳入了上述因素以及治疗次数、与免疫检查点抑制剂、酪氨酸激酶抑制剂和局部治疗的联合使用情况(AUC,0.802对0.811,P<0.001)。
列线图模型对于识别适合HAIC联合治疗的大型HCC患者至关重要,可能有助于个性化决策。
肝动脉灌注化疗(HAIC)通过肝动脉在大型肝细胞癌(HCC)中提供持续更高浓度的化疗药物,导致比静脉给药更好的客观反应。HAIC与良好的生存结果显著相关,在中晚期HCC的有效和安全治疗中获得了广泛支持。鉴于HCC的高度异质性,对于在HCC中单独进行HAIC或HAIC联合酪氨酸激酶抑制剂或免疫检查点抑制剂治疗之前进行风险分层的最佳工具尚无共识。在这项大型合作研究中,我们建立了两个列线图模型来估计预后,并评估不同HAIC联合治疗的生存获益。它可以帮助医生在临床实践和未来试验中对大型HCC患者进行HAIC治疗前的决策和综合治疗。