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炎性指标对非小细胞肺癌PD-1抗体疗效预测及预后评估的初步探讨
引用本文:魏熙胤,张翠翠,臧凤琳,陈鹏. 炎性指标对非小细胞肺癌PD-1抗体疗效预测及预后评估的初步探讨[J]. 中国肿瘤临床, 2021, 48(11): 547-552. DOI: 10.3969/j.issn.1000-8179.2021.11.232
作者姓名:魏熙胤  张翠翠  臧凤琳  陈鹏
作者单位:1.天津医科大学肿瘤医院肿瘤研究所公共实验室,国家肿瘤临床医学研究中心,天津市“肿瘤防治”重点实验室,天津市恶性肿瘤临床医学研究中心 (天津市 300060)
摘    要:目的:探索全身免疫炎症指数(systemic immune inflammation index,SII)等炎性指标在非小细胞肺癌(non-small cell lung cancer,NSCLC)患者程序性死亡受体1(programmed cell death-1,PD-1)抗体治疗中的疗效预测及预后价值.方法:回顾...

关 键 词:炎性指标  免疫治疗  非小细胞肺癌  预后
收稿时间:2021-02-01

Preliminary study on inflammatory markers for predicting the efficacy and prognosis of anti-PD-1 antibody treatment in patients with non-small cell lung cancer
Affiliation:1.Department of Public Laboratory2.Department of Thoracic Oncology3.Department of Pathology, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
Abstract:   Objective   To determine the value of the systemic immune inflammation index (SII) and other inflammatory factors in predicting the efficacy and prognosis of anti-PD-1 antibody treatment in non-small cell lung cancer (NSCLC) patients.   Methods   We retrospectively analyzed the hematological and clinical data of 64 stage ⅢB-Ⅳ NSCLC patients treated with anti-PD-1 antibodies. One-way analysis of variance was used to evaluate all inflammatory indexes at different time points: before treatment, when the best curative effect was achieved, and when the disease progressed. Meanwhile, the optimal critical values of inflammatory indexes were determined using receiver operating characteristic curve (ROC) analysis. The correlations between these indexes and patient survival were analyzed using the chi-square test and Kaplan–Meier estimation.   Results   The inflammatory indexes were significantly lower when the best curative effect was achieved than at the baseline; however, these values increased again when the disease progressed. The optimal critical values for SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) were 822.39, 4.20, 0.58, and 269.85, respectively. Moreover, the best cut-off values of serum levels of inflammation-related factors such as γ-glutamyl transferase (γ-GGT), lactate dehydrogenase (LDH), fibrinogen (Fbg), and D-dimer were 55.00 U/L, 255.00 U/L, 3.94 g/L and 1,513.19 ng/mL, espectively; higher PLR, SII, LDH, Fbg, and D-dimer values predicted poorer progression-free survival (PFS) in NSCLC patients (P<0.05). Multivariate analysis showed that the baseline LDH level was an independent risk factor for PFS (P=0.016).   Conclusions   In patients with advanced NSCLC, high baseline levels of inflammatory markers indicate relatively poor efficacy of anti-PD-1 antibodies. Thus, dynamic monitoring of inflammatory markers can predict the efficacy of anti-PD-1 antibody treatment and has a certain role in the prognostication of patients. 
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