Yang Zhenyun, Zhang Deyao, Sima Xiaoxian, Fu Yizhen, Zeng Huilan, Hu Zili, Hou Jingyu, Pan Yangxun, Zhang Yaojun, Zhou Zhongguo, Chen Minshan, Hu Dandan
State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, People's Republic of China; Department of Liver Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong 510060, People's Republic of China.
State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, People's Republic of China; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong 510060, People's Republic of China.
Int Immunopharmacol. 2023 Feb;115:109687. doi: 10.1016/j.intimp.2023.109687. Epub 2023 Jan 9.
It has been identified that serum lipids can be used as prognostic biomarkers in several types of cancer and are associated with patient survival. We aimed to clarify the prognostic value of the serum lipids and to establish a novel effective nomogram for overall survival (OS) in intrahepatic cholangiocarcinoma (iCCA) patients receiving anti-PD1 therapy.
Pretreatment serum lipids were retrospectively analyzed for prognostic value, including apolipoprotein B (APOB), apolipoproteinA-1 (APOA1), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG), which were assessed for prediction accuracy using Kaplan-Meier survival curves and time-dependent receiver operating characteristic (ROC). Cox regression analysis with univariate and multivariate factors was used to identify prognostic factors predictive of OS, and prognostic nomograms were constructed.
All the serum lipids showed good discriminatory ability in terms of OS (all P < 0.05), the higher the lipid levels, the better the prognosis, while APOA1 and TG were remarkable independent predictors for OS in multivariate analysis (hazard ratio, 2.177,2.035; confidence interval, 1.393-3.402, 1.184-3.498; P = 0.001, P = 0.01). Four (CA19-9, APOA1, tumor number and TG) independent prognostic factors were chosen to generate the nomogram for OS. The area under the ROC curve at 1-year and 2-year consistently demonstrated that the predictive value of the nomogram was superior to serum lipids.
In our study, serum lipid levels were used as a prognostic nomogram in the prediction of anti-PD-1 therapy efficacy in patients with iCCA.
已确定血清脂质可作为多种癌症的预后生物标志物，并与患者生存相关。我们旨在阐明血清脂质的预后价值，并为接受抗PD-1治疗的肝内胆管癌（iCCA）患者建立一种新的有效的总生存（OS）列线图。
回顾性分析治疗前血清脂质的预后价值，包括载脂蛋白B（APOB）、载脂蛋白A-1（APOA1）、总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）和甘油三酯（TG），使用Kaplan-Meier生存曲线和时间依赖性受试者工作特征（ROC）评估其预测准确性。采用单因素和多因素Cox回归分析确定预测OS的预后因素，并构建预后列线图。
所有血清脂质在OS方面均显示出良好的鉴别能力（所有P<0.05），脂质水平越高，预后越好，而在多因素分析中，APOA1和TG是OS的显著独立预测因素（风险比，2.177,2.035；置信区间，1.393 - 3.402,1.184 - 3.498；P = 0.001，P = 0.01）。选择四个（CA19-9、APOA1、肿瘤数量和TG）独立预后因素生成OS列线图。1年和2年时ROC曲线下面积一致表明列线图的预测价值优于血清脂质。
在我们的研究中，血清脂质水平被用作预测iCCA患者抗PD-1治疗疗效的预后列线图。
