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联合系统免疫炎症指数(SII)和预后营养指数(PNI)在实体瘤中的预后价值

The Prognostic Value of Combined Systemic Immune-Inflammatory Index (SII) and Prognostic Nutritional Index (PNI) in Solid Tumor.

作者信息

Zhang Yan, Tang Min, Gu Qian-Hui, Zhou Li-Na, Chen Min-Bin

机构信息

Department of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, People's Republic of China.

出版信息

Cancer Manag Res. 2025 Jul 8;17:1351-1359. doi: 10.2147/CMAR.S523419. eCollection 2025.

Abstract

BACKGROUND

Inflammation and nutrition status were the essential factors for cancer initiation and progression. Previous studies have confirmed systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) could predict the prognosis of cancer patients. The aim of this study was to evaluate the pre-treatment SII and PNI in predicting outcomes in different cancers.

METHODS

The retrospective study included 508 cancer cases diagnosed between June 2013 and June 2022. The pre-treatment SII and PNI were calculated from peripheral blood samples, and the cutoff value was determined by receiver operating characteristic (ROC). The association of SII, PNI with clinicopathological characters and prognosis were assessed by Cox regression and Kaplan-Meier methods.

RESULTS

The ideal preoperative SII and PNI cutoff values were 792.0 and 49.825, respectively. High SII group as well as low PNI group had worse prognosis. Patients satisfied both high SII and low PNI had the lowest overall survival (OS) rate ( < 0.001). Multivariable Cox regression analysis identified that the tumor stage ( < 0.001), BMI ( = 0.042), SII ( = 0.001) and AGR ( = 0.047) were independently prognostic markers for OS.

CONCLUSION

High level of pretreatment SII may be an independent prognostic factor for cancer patients. Patients with both high SII and low PNI had the worst prognosis.

摘要

背景

炎症和营养状况是癌症发生和发展的重要因素。既往研究证实,全身免疫炎症指数(SII)和预后营养指数(PNI)可预测癌症患者的预后。本研究旨在评估治疗前SII和PNI对不同癌症患者预后的预测价值。

方法

本回顾性研究纳入了2013年6月至2022年6月期间诊断的508例癌症病例。根据外周血样本计算治疗前SII和PNI,并通过受试者工作特征曲线(ROC)确定临界值。采用Cox回归和Kaplan-Meier方法评估SII、PNI与临床病理特征及预后的相关性。

结果

术前理想的SII和PNI临界值分别为792.0和49.825。高SII组和低PNI组的预后较差。同时满足高SII和低PNI的患者总生存率(OS)最低(<0.001)。多变量Cox回归分析确定,肿瘤分期(<0.001)、BMI(=0.042)、SII(=0.001)和AGR(=0.047)是OS的独立预后标志物。

结论

治疗前高SII水平可能是癌症患者的独立预后因素。同时具有高SII和低PNI的患者预后最差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb03/12255326/f6205a0859dc/CMAR-17-1351-g0001.jpg

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