基于sB7-H4、IFN-γ构建非小细胞肺癌患者预后预测模型  

Construction of prognostic prediction model for non-small cell lung cancer patients based on sB7-H4 and IFN-γ

作　　者：刘洋 王凯奇 郑新华 陈胜枝[3] 刘建钢 吴佳曼 吴晓旭 LIU Yang;WANG Kaiqi;ZHENG Xinhua;CHEN Shengzhi;LIU Jiangang;WU Jiaman;WU Xiaoxu(Medical College,Pingdingshan University,Pingdingshan 467000,China)

机构地区：[1]平顶山学院医学院,河南平顶山467000 [2]平顶山市第二人民医院胸外科,467000 [3]平顶山市第一人民医院普内科,467000 [4]解放军联勤保障部队九八九医院呼吸内科,467000

出　　处：《临床肿瘤学杂志》2024年第9期850-853,共4页Chinese Clinical Oncology

摘　　要：目的基于非小细胞肺癌(NSCLC)患者可溶性B7-H4(sB7-H4)、γ干扰素(IFN-γ)等血清标志物构建预测NSCLC预后的模型。方法收集2019年5月至2021年5月行手术治疗的210例NSCLC患者,随访截止至2023年6月30日,根据患者预后情况分为预后良好组和预后不良组。比较两组患者临床病理特征的差异,通过酶联免疫吸附法检测血清学标志物水平。多因素Logistic回归分析影响NSCLC患者预后的因素。受试者工作特征(ROC)曲线评价筛选因素预测患者预后的效能。结果预后不良组(n=35)和预后良好组(n=175)患者年龄、分期和淋巴结转移的差异有统计学意义(P<0.05)。预后不良组患者血清sB7-H4、IFN-α、IFN-γ、TNF-α、CEA和CYFRA21-1水平均显著高于预后良好组,差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,sB7-H4、IFN-γ和CYFRA21-1均为影响NSCLC患者预后的独立因素(P<0.05)。ROC曲线显示,sB7-H4、IFN-γ和CYFRA21-1对NSCLC患者不良预后均具有较高的预测效能,联合应用的预测效能最高(曲线下面积=0.839,P<0.05)。结论血清sB7-H4、IFN-γ、CYFRA21-1水平均为预测NSCLC患者预后的因素,联合上述标志物构建的预后预测模型对于指导NSCLC患者治疗、预后评估有一定临床价值。Objective To establish a prognostic model for non-small cell lung cancer(NSCLC)patients based on the expression of soluble B7-H4(sB7-H4),interferon γ(IFN-γ)and other serum markers.Methods A total of 210 patients with NSCLC who underwent surgical treatment from May 2019 to May 2021 were collected as study subjects,and followed up until June 30,2023.The patients were divided into good prognosis group and poor prognosis group according to their prognosis.The difference of clinicopathological features between the two groups was compared,and the level of serological markers was detected by enzyme-related immunosorbent assay.Multivariate Logistic regression analyzed the factors affecting the prognosis of NSCLC patients.Receiver operating characteristic(ROC)curves evaluated the efficacy of screening factors in predicting outcomes.Results The differences in age,stage and lymph node metastasis between poor prognosis group(n=35)and good prognosis group(n=175)were significant(P<0.05).Serum levels of sB7-H4,IFN-α,IFN-γ,TNF-α,CEA and CYFRA21-1 in the poor prognosis group were significantly higher than those in the good prognosis group,with statistical significance(P<0.05).Multivariate Logistic regression analysis showed that sB7-H4,IFN-γ and CYFRA21-1 were independent factors affecting the prognosis of NSCLC patients(P<0.05).ROC curve results showed that sB7-H4,IFN-γ and CYFRA21-1 all had high predictive efficacy for poor prognosis in NSCLC patients,and the combined application had the highest predictive efficacy(AUC=0.839,P<0.05).Conclusion Serum sB7-H4,IFN-γ and CYFRA21-1 levels are all factors that predict prognosis of patients with NSCLC,and the prognostic prediction model based on the above markers has certain clinical value in guiding the treatment and prognosis assessment of patients with NSCLC.

关 键 词：非小细胞肺癌 可溶性B7-H4 Γ干扰素 预后 

分 类 号：R734.2[医药卫生—肿瘤]