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炎症相关参数作为食管鳞状细胞癌的预后生物标志物。

Inflammation-related parameter serve as prognostic biomarker in esophageal squamous cell carcinoma.

作者信息

Xu Xiaoqin, Jing Jiexian

机构信息

Department of Etiology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.

出版信息

Front Oncol. 2022 Oct 21;12:900305. doi: 10.3389/fonc.2022.900305. eCollection 2022.

Abstract

OBJECTIVE

The aim of this study was to explore the predictive role of inflammation-related parameters in prognosis of esophageal squamous cell carcinoma (ESCC).

METHODS

A total of 370 ESCC patients subjected to curative surgery were enrolled. All patients had complete medical records and did not receive preoperative adjuvant therapy. Preoperative systemic immune-inflammation index (SII) was calculated as platelet count × neutrophil count/lymphocyte count, prognostic nutrition index (PNI) as albumin concentration (g/L) + 5 × total lymphocyte count (10/L), and systemic inflammation response index (SIRI) as neutrophil count × monocyte count/lymphocyte count. The optimal cut-off values of preoperative SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), PNI, and SIRI were determined receiver operating characteristic (ROC) analysis, and their correlations with clinical parameters and survival analyzed.

RESULTS

NLR was associated with gender ( = 0.022), and PLR ( = 0.037), PNI ( = 0.017) was associated with survival status, LMR was related with gender ( = 0.034) and survival status ( = 0.01), SIRI was correlated with gender ( = 0.000), smoking history ( = 0.000) and drinking history ( = 0.004). Survival analysis indicated that high PLR ( = 0.042), low LMR ( = 0.001), and low PNI ( = 0.007) were predictive of poor prognosis of ESCC. Stratified analysis revealed the prognostic predictor roles of distinct markers in different ESCC subgroups. SII and SIRI were predominantly correlated with the clinical outcome in the lymphatic metastasis subgroup. Further univariate analysis disclosed that T stage, smoking history, lymphatic metastasis, TNM staging, PLR, LMR, and PNI potentially serve as influencing factors( < 0.05). Multivariate analysis identified T stage ( = 1.781, = 0.002), TNM staging ( = 8.617, = 0.001) and LMR ( = 0.504, = 0.001) as independent predictors for outcomes of ESCC.

CONCLUSIONS

Low LMR could serve as an independent marker of poor prognosis in patients with ESCC. Inflammation-related markers have distinct predictive roles in ESCC subgroups with different features.

摘要

目的

本研究旨在探讨炎症相关参数在食管鳞状细胞癌(ESCC)预后中的预测作用。

方法

共纳入370例行根治性手术的ESCC患者。所有患者均有完整的病历记录,且未接受术前辅助治疗。术前全身免疫炎症指数(SII)计算为血小板计数×中性粒细胞计数/淋巴细胞计数,预后营养指数(PNI)计算为白蛋白浓度(g/L)+5×总淋巴细胞计数(10⁹/L),全身炎症反应指数(SIRI)计算为中性粒细胞计数×单核细胞计数/淋巴细胞计数。通过受试者工作特征(ROC)分析确定术前SII、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR)、PNI和SIRI的最佳截断值,并分析它们与临床参数及生存情况的相关性。

结果

NLR与性别相关(P = 0.022),PLR(P = 0.037)、PNI(P = 0.017)与生存状态相关,LMR与性别(P = 0.034)和生存状态(P = 0.01)相关,SIRI与性别(P = 0.000)、吸烟史(P = 0.000)和饮酒史(P = 0.004)相关。生存分析表明,高PLR(P = 0.042)、低LMR(P = 0.001)和低PNI(P = 0.007)可预测ESCC预后不良。分层分析揭示了不同标志物在不同ESCC亚组中的预后预测作用。SII和SIRI主要与淋巴转移亚组的临床结局相关。进一步的单因素分析显示,T分期、吸烟史、淋巴转移、TNM分期、PLR、LMR和PNI可能是影响因素(P < 0.05)。多因素分析确定T分期(P = 1.781,P = 0.002)、TNM分期(P = 8.617,P = 0.001)和LMR(P = 0.504,P = 0.001)是ESCC预后的独立预测因素。

结论

低LMR可作为ESCC患者预后不良的独立标志物。炎症相关标志物在具有不同特征的ESCC亚组中具有不同的预测作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9634080/c0a144f86b5d/fonc-12-900305-g001.jpg

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