Shi Jie, Liu Xuan, Ming Zongjuan, Li Wei, Lv Xin, Yang Xia, Wang Yu, Zhang Mengying, Yang Shuanying
Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Zhongguo Fei Ai Za Zhi. 2021 Jun 20;24(6):426-433. doi: 10.3779/j.issn.1009-3419.2021.102.20.
Solitary pulmonary nodule has received increasing attention in recent years. A couple of lung nodules have been recognized as primary malignant tumors, which leads to an urgent need in enhancing the diagnosis of benign/malignant lung nodules at clinical settings. This study aims to explore the value of the combined detection of cytokines and tumor markers in differencing benign and malignant solitary pulmonary nodules in diagnose.
With 81 solitary pulmonary nodules cases with a clear diagnosis, the general clinical data, nodule imaging features, pathological diagnosis data, serological index cytokine series and tumor marker expression levels were collected in groups. Both single factor and multi-factors analysis were conducted to screen out the serum influence indexes that can predict the malignant probability of lung nodules, and mean while binary logistic regression analysis was used to construct joint indexes; After receiver operating characteristic curve (ROC) was drawn, the area under the curve and the corresponding sensitivity, specificity and positive of each index predicted value, negative predicted value and accuracy could be calculated with a view to determine the statistical significance of area under the curve (AUC).
There are differences in the distribution of malignant solitary pulmonary nodules at different locations, with the highest proportion of the right upper lobe (40.4%). The serum levels of carcinoembryonic antigen (CEA), cytokeratin 19 fragment 21-1 (CYFRA21-1), interleukin-6 (IL-6), interleukin-8 (IL-8) in the malignant nodule group were higher than those in the benign nodule group. Logistic regression analysis suggests that CEA, IL-6 and IL-8 are independent risk factors for predicting malignant nodules. ROC curve analysis shows that the areas under the curve of the individual indicators CEA, IL-6 and IL-8 are 0.642, 0.684 and 0.749. The comparison result of the test efficiency of the area under the curve suggests that CEA+IL-6+IL-8 has a larger area under the curve and higher detection efficiency.
CEA, IL-6 and IL-8 are independent risk factors for malignant solitary pulmonary nodules. The combined detection of cytokines and tumor markers has played a role in the differential diagnosis of benign and malignant lung nodules. The diagnostic value of the combined detection of CEA+IL-6+IL-8 is the highest.
近年来,孤立性肺结节受到越来越多的关注。一些肺结节已被确认为原发性恶性肿瘤,这使得临床环境中迫切需要加强对良性/恶性肺结节的诊断。本研究旨在探讨细胞因子和肿瘤标志物联合检测在鉴别诊断良性和恶性孤立性肺结节中的价值。
收集81例诊断明确的孤立性肺结节病例,分组收集一般临床资料、结节影像学特征、病理诊断资料、血清学指标细胞因子系列及肿瘤标志物表达水平。进行单因素和多因素分析,筛选出可预测肺结节恶性概率的血清影响指标,同时采用二元logistic回归分析构建联合指标;绘制受试者工作特征曲线(ROC)后,计算曲线下面积及各指标相应的敏感度、特异度、阳性预测值、阴性预测值和准确度,以确定曲线下面积(AUC)的统计学意义。
恶性孤立性肺结节在不同部位的分布存在差异,右上叶比例最高(40.4%)。恶性结节组血清癌胚抗原(CEA)、细胞角蛋白19片段21-1(CYFRA21-1)、白细胞介素-6(IL-6)、白细胞介素-8(IL-8)水平高于良性结节组。Logistic回归分析提示,CEA、IL-6和IL-8是预测恶性结节的独立危险因素。ROC曲线分析显示,CEA、IL-6和IL-8各单项指标的曲线下面积分别为0.642、0.684和0.749。曲线下面积检验效能比较结果提示,CEA+IL-6+IL-8曲线下面积更大,检测效能更高。
CEA、IL-6和IL-8是恶性孤立性肺结节的独立危险因素。细胞因子和肿瘤标志物联合检测在良性和恶性肺结节的鉴别诊断中发挥了作用。CEA+IL-6+IL-8联合检测的诊断价值最高。