Mengchen Wang, Chengxiang Zhu, Nan Feng, Yiran Li, Jiahui Sun, Huangxian Ju
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引用次数: 0
Abstract
Cancer biomarkers have been facing some issues such as poor accuracy and low sensitivity in the early diagnosis of tumors. Utilizing biotin-labelled peptide as a mass tag (MT), this work proposes a high-throughput biosensing strategy for matrix-assisted laser desorption/ionization-time of flight mass spectrometric (MALDI-TOF-MS) immunoassay of multiple lung cancer biomarkers. Due to little required dosage, satisfied stability, high sensitivity and accuracy, this method can achieve off-site centralized signal detection after on-site sample incubation. The proposed approach has been successfully applied for the detection of carcinoembryonic antigen (CEA), carbohydrate antigen199 (CA199), carbohydrate antigen 125 (CA125) and cytokeratin-19-fragment (CY211) in serum samples from various stages of non-small cell lung cancer. Based on the analysis of multiple parameters and pathological results, significant differences in biomarkers are found in serum samples of lung cancer patients at different stages. More importantly, the analysis of multiple tumor biomarkers can improve the accuracy and sensitivity of early diagnosis. Therefore, the multiple immunoassay based on MALDI-TOF MS exhibits exceptional performance in terms of high throughput, little sample dosage, stability and sensitivity.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.