Li Mingxuan, Bai Jiwei, Xiong Yujia, Shen Yutao, Wang Shuai, Li Chuzhong, Zhang Yazhuo
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Front Oncol. 2022 Oct 14;12:1046093. doi: 10.3389/fonc.2022.1046093. eCollection 2022.
The systemic inflammation score (SIS), based on preoperative lymphocyte to monocyte ratio (LMR) and albumin (ALB), was recently developed and is demonstrated to be a novel prognostic indicator in several cancers. However, data discussing the utility of SIS in chordoma are lacking. We aimed to investigate the distribution and the prognostic role of SIS in primary skull base chordoma patients undergoing surgery.
Preoperative SIS was retrospectively collected from 183 skull base chordoma patients between 2008 and 2014 in a single center. Its associations with clinical features and overall survival (OS) were further analyzed. The SIS-based nomogram was developed and evaluated by the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).
The numbers of patients in the SIS 2, 1, and 0 group were 29 (15.8%), 60 (32.8%), 94 (51.4%), respectively. High SIS was associated with older age ( = 0.008), brainstem involvement of tumors ( = 0.039), and adverse OS ( < 0.001). Importantly, multivariate Cox analysis showed that high SIS independently predicts adverse OS. Furthermore, the nomogram based on SIS and clinical variables showed eligible performance for OS prediction in both training and validation cohorts.
The SIS is a promising, simple prognostic biomarker, and the SIS-based nomogram serves as a potential risk stratification tool for outcome in skull base chordoma patients.
基于术前淋巴细胞与单核细胞比值(LMR)和白蛋白(ALB)的全身炎症评分(SIS)最近被提出,并且已被证明是几种癌症的一种新型预后指标。然而,关于SIS在脊索瘤中的应用的数据尚缺乏。我们旨在研究SIS在接受手术的原发性颅底脊索瘤患者中的分布及预后作用。
回顾性收集了2008年至2014年在单中心接受治疗的183例颅底脊索瘤患者的术前SIS。进一步分析其与临床特征和总生存期(OS)的相关性。通过一致性指数(C指数)、时间依赖性受试者工作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)对基于SIS的列线图进行开发和评估。
SIS为2、1和0组的患者数量分别为29例(15.8%)、60例(32.8%)、94例(51.4%)。高SIS与年龄较大(P = 0.008)、肿瘤侵犯脑干(P = 0.039)及不良OS(P < 0.001)相关。重要的是,多因素Cox分析显示高SIS独立预测不良OS。此外,基于SIS和临床变量的列线图在训练队列和验证队列中均显示出对OS预测的良好性能。
SIS是一种有前景的、简单的预后生物标志物,基于SIS的列线图可作为颅底脊索瘤患者预后的潜在风险分层工具。