Ma Cong, Yu Ronghui, Li Junhong, Guo Jingjing, Xu Jianyun, Wang Xiaoyan, Liu Ping
Department of Orthopaedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
J Surg Oncol. 2022 Mar;125(4):754-765. doi: 10.1002/jso.26757. Epub 2021 Nov 22.
This retrospective study of patients with osteosarcoma investigated the following biomarkers of inflammation and nutritional status: neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, prognostic nutritional index (PNI), and systemic immune-inflammation index (SII). The efficacies of these indicators to predict overall survival (OS) of young and elderly patients were compared.
The data of 125 patients with osteosarcoma, comprising the young (≤20 years) and elderly (60-80 years), were reviewed. Receiver operating characteristic (ROC) curves were calculated to determine the optimal cut-off value and area under the ROC curve of each potential biomarker. Kaplan-Meier curves and a Cox proportional hazards model were used to perform survival analyses.
The cut-off values for low and high PNI ( ≤48.5, >48.5) and low and high SII (≤607.3, >607.3) were determined. Osteosarcoma patients in low PNI group or high SII group exhibited poorer OS relative to those in high PNI or low SII groups. The univariate and multivariate analyses indicated that preoperative PNI and SII were independent prognostic factors for OS in both the young and elderly subjects.
Preoperative PNI and SII can be viable biomarkers of prognosis for both young and elderly patients with osteosarcoma. Awareness of these valuable indexes will enable clinicians to evaluate the inflammatory and nutritional status of these patients and establish a framework for individualized therapy.
本项对骨肉瘤患者的回顾性研究调查了以下炎症和营养状况生物标志物:中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值、预后营养指数(PNI)和全身免疫炎症指数(SII)。比较了这些指标预测年轻和老年患者总生存期(OS)的效能。
回顾了125例骨肉瘤患者的数据,包括年轻患者(≤20岁)和老年患者(60 - 80岁)。计算受试者工作特征(ROC)曲线,以确定每个潜在生物标志物的最佳截断值和ROC曲线下面积。采用Kaplan-Meier曲线和Cox比例风险模型进行生存分析。
确定了低PNI(≤48.5)和高PNI(>48.5)以及低SII(≤607.3)和高SII(>607.3)的截断值。低PNI组或高SII组的骨肉瘤患者相对于高PNI组或低SII组患者的总生存期较差。单因素和多因素分析表明,术前PNI和SII是年轻和老年受试者总生存期的独立预后因素。
术前PNI和SII可作为年轻和老年骨肉瘤患者预后的可行生物标志物。了解这些有价值的指标将使临床医生能够评估这些患者的炎症和营养状况,并建立个体化治疗框架。