Wang Yulin, Ouyang Songyun, Liu Man, Si Qiufang, Zhang Xue, Zhang Xiuzhi, Li Jiaqi, Wang Peng, Ye Hua, Shi Jianxiang, Song Chunhua, Wang Kaijuan, Dai Liping
Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China.
Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China.
BMC Cancer. 2024 Mar 2;24(1):283. doi: 10.1186/s12885-024-12019-w.
This study aims to investigate the expression of UBQLN1 in lung cancer (LC) tissue and the diagnostic capability of autoantibody to UBQLN1 (anti-UBQLN1) in the detection of LC and the discrimination of pulmonary nodules (PNs).
Sera from 798 participants were used to discover and validate the level of autoantibodies via HuProt microarray and Enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was applied to establish model. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic potential. Immunohistochemistry was performed to detect UBQLN1 expression in 88 LC tissues and 88 para-tumor tissues. qRT-PCR and western blotting were performed to detect the expression of UBQLN1 at the mRNA and protein levels, respectively. Trans-well assay and cell counting kit-8 (CCK-8) was used to investigate the function of UBQLN1.
Anti-UBQLN1 was identified with the highest fold change by protein microarray. The level of anti-UBQLN1 in LC patients was obviously higher than that in NC or patients with benign lung disease of validation cohort 1 (P<0.05). The area under the curve (AUC) of anti-UBQLN1 was 0.610 (95%CI: 0.508-0.713) while reached at 0.822 (95%CI: 0.784-0.897) when combining anti-UBQLN1 with CEA, CYFRA21-1, CA125 and three CT indicators (vascular notch sign, lobulation sign and mediastinal lymph node enlargement) in the discrimination of PNs. UBQLN1 protein was overexpressed in lung adenocarcinoma (LUAD) tissues compared to para-tumor tissues. UBQLN1 knockdown remarkably inhibited the migration, invasion and proliferation of LUAD cell lines.
Anti-UBQLN1 might be a potential biomarker for the diagnosis of LC and the discrimination of PNs.
本研究旨在探讨泛素样蛋白1(UBQLN1)在肺癌(LC)组织中的表达情况,以及抗UBQLN1自身抗体在肺癌检测和肺结节(PNs)鉴别诊断中的能力。
收集798名参与者的血清,通过HuProt微阵列和酶联免疫吸附测定(ELISA)来发现并验证自身抗体水平。应用逻辑回归分析建立模型。采用受试者工作特征曲线(ROC)分析来评估诊断潜力。通过免疫组织化学检测88例LC组织和88例癌旁组织中UBQLN1的表达。分别采用qRT-PCR和蛋白质印迹法检测UBQLN1在mRNA和蛋白质水平的表达。利用Transwell实验和细胞计数试剂盒-8(CCK-8)研究UBQLN1的功能。
通过蛋白质微阵列鉴定出抗UBQLN1的变化倍数最高。LC患者中抗UBQLN1的水平明显高于正常对照(NC)或验证队列1中的良性肺病患者(P<0.05)。抗UBQLN1的曲线下面积(AUC)为0.610(95%CI:0.508-0.713),而在PNs鉴别中,将抗UBQLN1与癌胚抗原(CEA)、细胞角蛋白19片段(CYFRA21-1)、癌抗原125(CA125)以及三个CT指标(血管切迹征、分叶征和纵隔淋巴结肿大)联合使用时,AUC达到0.822(95%CI:0.784-0.897)。与癌旁组织相比,肺腺癌(LUAD)组织中UBQLN1蛋白表达上调。敲低UBQLN1可显著抑制LUAD细胞系的迁移、侵袭和增殖。
抗UBQLN1可能是肺癌诊断及PNs鉴别诊断的潜在生物标志物。