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炎症标志物和临床特征对接受抗程序性死亡1治疗的晚期或转移性食管鳞状细胞癌患者生存的预后价值。

Prognostic value of inflammatory markers and clinical features for survival in advanced or metastatic esophageal squamous cell carcinoma patients receiving anti-programmed death 1 treatment.

作者信息

Da Liangshan, Qu Ziting, Zhang Congjun, Shen Yuanyuan, Huang Wei, Zhang Yiyin, Gu Kangsheng

机构信息

Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

出版信息

Front Oncol. 2023 Mar 23;13:1144875. doi: 10.3389/fonc.2023.1144875. eCollection 2023.

Abstract

PURPOSE

This study aims to assess the prognostic value of inflammatory markers and clinical features in advanced or metastatic esophageal squamous cell carcinoma (ESCC) patients receiving anti-programmed death 1 (PD-1) treatment.

METHODS

Based on receiver operating characteristic curve (ROC) analysis, Youden's indexes were applied to determine the cut-off values for inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocye ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Wilcoxon test was conducted to evaluate the changes in above inflammatory markers. Kaplan-Meier method was utilized to estimate progression-free survival (PFS) and overall survival (OS), and the Log-rank test was used to compare the different survival between groups. Univariate and multivariate Cox regression analyses were performed to assess the prognostic value of inflammatory markers and clinical features.

RESULTS

162 advanced or metastatic ESCC patients receiving anti-PD-1 treatment were enrolled in this retrospective study. The cut-off values of NLR, dNLR, MLR, PLR, and SII were 4.748, 2.214, 0.309, 250.505, and 887.895, respectively. NLR, dNLR, PLR, and SII declined significantly among the partial response (PR) (P<0.001, P<0.001, P=0.036, P<0.001), objective response rate (ORR) (P<0.001, P<0.001, P=0.036, P<0.001), and disease control rate (DCR) (P<0.001, P<0.001, P=0.038, P<0.001) groups, respectively. Significant increases were found in NLR (P<0.001), dNLR (P<0.001), MLR (P=0.001), and SII (P=0.024) when anti-PD-1 treatment failed. Multivariate Cox regression analysis indicated that NLR (P<0.001, P=0.002), lymph node metastasis (P=0.013, P=0.001), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (P=0.008, P=0.002), and treatment lines (P=0.037, P=0.048) were significant prognostic indicators of PFS and OS. Additionally, SII (P=0.016) was also significantly related to OS in ESCC patients. The risk score model showed that low risk patients prolonged PFS and OS than those with middle or high risk (P<0.001, P<0.001).

CONCLUSION

Inflammatory markers can reflect short-term outcomes of anti-PD-1 treatment for ESCC patients. NLR, lymph node metastases, ECOG PS, and treatment lines are significant prognostic indicators for PFS and OS. And the risk score model constructed based on the above factors has favourable prognostic predictive value.

摘要

目的

本研究旨在评估炎症标志物和临床特征对接受抗程序性死亡蛋白1(PD-1)治疗的晚期或转移性食管鳞状细胞癌(ESCC)患者的预后价值。

方法

基于受试者工作特征曲线(ROC)分析,应用约登指数确定炎症标志物的临界值,包括中性粒细胞与淋巴细胞比值(NLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)、单核细胞与淋巴细胞比值(MLR)、血小板与淋巴细胞比值(PLR)和全身免疫炎症指数(SII)。采用Wilcoxon检验评估上述炎症标志物的变化。利用Kaplan-Meier法估计无进展生存期(PFS)和总生存期(OS),并采用Log-rank检验比较组间不同生存期。进行单因素和多因素Cox回归分析,以评估炎症标志物和临床特征的预后价值。

结果

本回顾性研究纳入了162例接受抗PD-1治疗的晚期或转移性ESCC患者。NLR、dNLR、MLR、PLR和SII的临界值分别为4.748、2.214、0.309、250.505和887.895。在部分缓解(PR)组(P<0.001、P<0.001、P=0.036、P<0.001)、客观缓解率(ORR)组(P<0.001、P<0.001、P=0.036、P<0.001)和疾病控制率(DCR)组(P<0.001、P<0.001、P=0.038、P<0.001)中,NLR、dNLR、PLR和SII均显著下降。抗PD-1治疗失败时,NLR(P<0.001)、dNLR(P<0.001)、MLR(P=0.001)和SII(P=0.024)显著升高。多因素Cox回归分析表明,NLR(P<0.001、P=0.002)、淋巴结转移(P=0.013、P=0.001)、东部肿瘤协作组体能状态(ECOG PS)(P=0.008、P=0.002)和治疗线数(P=0.037、P=0.048)是PFS和OS的重要预后指标。此外,SII(P=0.016)在ESCC患者中也与OS显著相关。风险评分模型显示,低风险患者的PFS和OS比中高风险患者更长(P<0.001、P<0.001)。

结论

炎症标志物可反映ESCC患者抗PD-1治疗的短期疗效。NLR、淋巴结转移、ECOG PS和治疗线数是PFS和OS的重要预后指标。基于上述因素构建的风险评分模型具有良好的预后预测价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad62/10076857/4c481a6b60e9/fonc-13-1144875-g001.jpg

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