生物标志物
生物标志物发现
蛋白质组
蛋白质组学
癌症生物标志物
计算生物学
癌症
化学
生物
医学
内科学
生物化学
基因
作者
Anqi Hu,Jiayi Zhang,Lei Zhang,Zhenxin Wang,Jiawei Dai,Ling Lin,Guoquan Yan,Fenglin Shen,Huali Shen
标识
DOI:10.1021/acs.analchem.4c03006
摘要
Biomarker discovery and application are paramount for the early diagnosis, treatment, and prognosis assessment of diseases. Novel proteomic strategies have been developed for high-efficiency biomarker screening. However, evaluating various strategies and applying them for the in-depth mining of biomarkers from blood need to be elucidated. Herein, we systematically evaluated the technical characteristics of three representative biomarker discovery strategies, including the most popular DIA proteomics, and two promising strategies targeting the cancer-secreted proteome or extracellular vesicle proteome, and integrated them into one multidimensional serum proteomic strategy. The results showed that the three strategies each have unique characteristics in terms of sensitivity, reproducibility, and protein coverage and are highly complementary in biomarker discovery. The integrated multidimensional serum proteomic strategy achieves deep and comprehensive coverage of the serum proteome, discovers more cancer markers, and helps achieve a more accurate multicancer (breast, lung, stomach, liver, and colorectum) diagnosis with 87.5% localization accuracy.
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