Xu Dengyue, Jiang Qingyun, Li Zhi, Shang Angyang, Liu Jiaqi, Xue Chengyu, Shao Shuai, Zhang Hangyu, Yuan Hong, Wu Bin, Liu Bo
Central Hospital of Dalian University of Technology, Dalian 116021, China.
Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System, Faculty of Medicine, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel). 2024 Dec 11;24(24):7899. doi: 10.3390/s24247899.
Non-small cell lung cancer (NSCLC) is the predominant form of lung cancer and poses a significant public health challenge. Early detection is crucial for improving patient outcomes, with serum biomarkers such as carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCAg), and cytokeratin fragment 19 (CYFRA 21-1) playing a critical role in early screening and pathological classification of NSCLC. However, due to being mainly based on corresponding antibody binding reactions, existing detection technologies for these serum biomarkers have shortcomings such as complex operations, high false positive rates, and high costs. This study aimed to develop new methods for detecting CEA, SCCAg, and CYFRA 21-1 to assist in the diagnosis of NSCLC. Affinity peptides of CEA, SCCAg, and CYFRA 21-1, respectively, were screened by phage display technology, and the peptides' binding affinities were determined by enzyme-linked immunosorbent assay and biolayer interferometry. Peptides with high affinity were then integrated as binding domains into biosensors by fusing them with circularly permuted fluorescent proteins (cpFPs) through genetic coding. The resulting biosensors, C4 biosensor for CEA, S1 biosensor for SCCAg, and Y3 biosensor for CYFRA 21-1, demonstrated robust sensitivity and specificity even at concentrations as low as 1 ng/mL for their respective tumor markers. When applied to clinical samples and recalibrated for the upper limit of normal concentrations, the biosensors exhibited enhanced sensitivity and specificity for NSCLC diagnosis. This study introduced innovative biosensors for the detection of CEA, SCCAg, and CYFRA 21-1, providing a highly sensitive, specific, rapid, and cost-effective diagnostic alternative that could significantly improve NSCLC screening rates.
非小细胞肺癌(NSCLC)是肺癌的主要形式,对公共卫生构成重大挑战。早期检测对于改善患者预后至关重要,癌胚抗原(CEA)、鳞状细胞癌抗原(SCCAg)和细胞角蛋白片段19(CYFRA 21-1)等血清生物标志物在NSCLC的早期筛查和病理分类中发挥着关键作用。然而,由于现有这些血清生物标志物的检测技术主要基于相应的抗体结合反应,存在操作复杂、假阳性率高和成本高等缺点。本研究旨在开发检测CEA、SCCAg和CYFRA 21-1的新方法,以辅助NSCLC的诊断。分别通过噬菌体展示技术筛选出CEA、SCCAg和CYFRA 21-1的亲和肽,并通过酶联免疫吸附测定和生物膜干涉术测定这些肽的结合亲和力。然后,通过基因编码将具有高亲和力的肽与环状排列荧光蛋白(cpFPs)融合,作为结合域整合到生物传感器中。所得的生物传感器,即用于CEA的C4生物传感器、用于SCCAg的S1生物传感器和用于CYFRA 21-1的Y3生物传感器,即使在各自肿瘤标志物浓度低至1 ng/mL时也表现出强大的灵敏度和特异性。当应用于临床样本并针对正常浓度上限进行重新校准时,这些生物传感器对NSCLC诊断表现出更高的灵敏度和特异性。本研究引入了用于检测CEA、SCCAg和CYFRA 21-1的创新型生物传感器,提供了一种高度灵敏、特异、快速且经济高效的诊断替代方法,可显著提高NSCLC的筛查率。