Cancer Serum Atlas-Supported Precise Pan-Targeted Proteomics Enable Multicancer Detection

生物标志物发现 生物标志物 癌症生物标志物 癌症 蛋白质组学 蛋白质组 图谱 计算生物学 化学 内科学 生物 医学 生物化学 蛋白质表达 基因
作者
Anqi Hu,Lei Zhang,Zhenxin Wang,Chunyan Yuan,Ling Lin,Jiayi Zhang,Xia Gao,Xuguang Chen,Wei Guo,Pengyuan Yang,Huali Shen
出处
期刊:Analytical Chemistry [American Chemical Society]
被引量:6
标识
DOI:10.1021/acs.analchem.2c03299
摘要

The wide dynamic range of serum proteome restrained discovery of clinically interested proteins in large cohort studies. Herein, we presented a high-sensitivity, high-throughput, and precise pan-targeted serum proteomic strategy for highly efficient cancer serum proteomic research and biomarker discovery. We constructed a resource of over 2000 cancer-secreted proteins, and the standard MS assays and spectra of at least one synthetic unique peptide per protein were acquired and documented (Cancer Serum Atlas, www.cancerserumatlas.com). Then, the standard peptide-anchored parallel reaction monitoring (SPA-PRM) method was developed with support of the Cancer Serum Atlas, achieving precise quantification of cancer-secreted proteins with high throughput and sensitivity. We directly quantified 325 cancer-related serum proteins in 288 serums of four cancer types (liver, stomach, lung, breast) and controls with the pan-targeted strategy and discovered considerable potential biomarker benefits for early detection of cancer. Finally, a proteomic-based multicancer detection model was built, demonstrating high sensitivity (87.2%) and specificity (100%), with 73.8% localization accuracy for an independent test set. In conclusion, the Cancer Serum Atlas provides a wide range of potential biomarkers that serve as targets and standard assays for systematic and highly efficient serological studies of cancer. The Cancer Serum Atlas-supported pan-targeted proteomic strategy enables highly efficient biomarker discovery and multicancer detection and thus can be a powerful tool for liquid biopsy.
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