Zhang Deyao, Huo Lanqing, Pan Yangxun, Yang Zhenyun, Zeng Huilan, Wang Xin, Chen Jinbin, Wang Juncheng, Zhang Yaojun, Zhou Zhongguo, Chen Minshan, Hu Dandan
Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
J Inflamm Res. 2022 Dec 29;15:6869-6881. doi: 10.2147/JIR.S397375. eCollection 2022.
To investigate the value of preoperative systemic inflammation response (SIRS) score in predicting the prognosis of hepatocellular carcinoma (HCC) after hepatectomy.
The study analyzed 1001 patients with pathologically proven HCC who received curative resection at Sun Yat-sen University Cancer Center between March 2016 and May 2020. Patients were randomly divided into a training cohort (n = 751) and a validation cohort (n = 250). Clinicopathological characteristics were collected retrospectively. The SIRS score formula was based on the results of a multivariate cox analysis of hematological inflammation indexes in the training cohort. Then, a nomogram consisting of the SIRS score was constructed and the calibration plot, areas under the receiver operating characteristic (AUC) curve, and decision curve analysis (DCA) showed good predictive ability.
Univariate and multivariate cox analysis revealed that the SIRS score is an independent prognostic factor for OS in HCC patients. A higher SIRS score was associated with a larger maximum lesion diameter, poor tumor differentiation, a greater possibility of vascular invasion, and a more advanced cancer stage. When the nomogram was used to predict 1-year, 3-year, and 5-year survival rates, the AUC in the training cohort was 0.763, 0.712, and 0.687, respectively; In the validation cohort, it was 0.715, 0.648, and 0.614, respectively. The AUC of this nomogram showed significantly better predictive performance than those of commonly used staging systems.
The preoperative SIRS score has good efficacy in predicting the prognosis of HCC patients undergoing hepatectomy, and nomograms based on the SIRS score can potentially guide individualized follow-up and adjuvant therapy.
探讨术前全身炎症反应(SIRS)评分在预测肝癌(HCC)肝切除术后预后中的价值。
本研究分析了2016年3月至2020年5月在中山大学肿瘤防治中心接受根治性切除的1001例经病理证实的HCC患者。患者被随机分为训练队列(n = 751)和验证队列(n = 250)。回顾性收集临床病理特征。SIRS评分公式基于训练队列中血液学炎症指标的多变量cox分析结果。然后,构建了由SIRS评分组成的列线图,校准图、受试者操作特征(AUC)曲线下面积和决策曲线分析(DCA)显示出良好的预测能力。
单变量和多变量cox分析显示,SIRS评分是HCC患者总生存期的独立预后因素。较高的SIRS评分与更大的最大病灶直径、肿瘤分化差、血管侵犯可能性大以及癌症分期更晚相关。当使用列线图预测1年、3年和5年生存率时,训练队列中的AUC分别为0.763、0.712和0.687;在验证队列中,分别为0.715、0.648和0.614。该列线图的AUC显示出比常用分期系统显著更好的预测性能。
术前SIRS评分在预测HCC肝切除患者的预后方面具有良好的疗效基于SIRS评分的列线图可能指导个体化随访和辅助治疗。