自身抗体
肺癌
蛋白质微阵列
队列
肺
癌症
微阵列
组织微阵列
微阵列分析技术
肿瘤科
医学
生物
病理
免疫学
抗体
内科学
基因
基因表达
生物化学
作者
Yulin Wang,Jiaqi Li,Xue Zhang,Man Liu,Longtao Ji,Ting Yang,Kaijuan Wang,Chunhua Song,Peng Wang,Hua Ye,Jianxiang Shi,Liping Dai
标识
DOI:10.1016/j.clim.2022.109206
摘要
This study aims to discover novel autoantibodies against tumor-associated antigens (TAAs) and establish diagnostic models for assisting in the diagnosis of lung cancer and discrimination of pulmonary nodules (PNs). Ten autoantibodies to TAAbs (TAAbs) were discovered by means of protein microarray and their serum level was also higher in 212 LC patients than that in 212 NC of validation cohort 1 (P < 0.05). The model 1 comprising 4 TAAbs and CEA reached an AUC of 0.813 (95%CI: 0.762–0.864) for diagnosing LC from normal individuals. Five TAAbs existed a significant difference between 105 malignant pulmonary nodules (MPNs) and 105 benign pulmonary nodules (BPNs) patients in validation cohort 2 (P < 0.05). Model 2 could distinguish MPNs from BPNs with an AUC of 0.845. High-throughput protein microarray is an efficient approach in discovering novel TAAbs which could be used as biomarkers in lung cancer diagnosis.
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