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Targeted Proteomics-derived Biomarker Profile Develops a Multi-protein Classifier in Liquid Biopsies for Early Detection of Esophageal Squamous Cell Carcinoma from a Population-based Case-control Study by Yang, Xiaorong (author);Suo, Chen (author);Zhang, Tongchao (author);Yin, Xiaolin (author);Man, Jinyu (author);Yuan, Ziyu (author);Yu, Jingru (author);Jin, Li (author);Chen, Xingdong (author);Lu, Ming (author);Ye, Weimin (author) is a Medicine article available to read on EtoBox.

What is Targeted Proteomics-derived Biomarker Profile Develops a Multi-protein Classifier in Liquid Biopsies for Early Detection of Esophageal Squamous Cell Carcinoma from a Population-based Case-control Study about?

## Abstract ## Background Early diagnosis of esophageal squamous cell carcinoma (ESCC) remains a challenge due to the lack of specific blood biomarkers. We aimed to develop a serum multi-protein signature for the early detection of ESCC. ## Methods We selected 70 healthy controls, 30 precancerous patients, 60 stage I patients, 70 stage II patients and 70 stage III/IV ESCC patients from a completed ESCC case-control study in a high-risk area of China. Olink Multiplex Oncology II targeted proteomics panel was used to simultaneously detect the levels of 92 cancer-related proteins in serum using proximity extension assay. ## Results We found that 10 upregulated and 13 downregulated protein biomarkers in serum could distinguish the early-stage ESCC from healthy controls, which were validated by the significant dose-response relationships with ESCC pathological progression. Applying least absolute shrinkage and selection operator (LASSO) regression and backward elimination algorithm, ANXA1 (annexin A1), hK8 (kallikrein-8), hK14 (kallikrein-14), VIM (vimentin), and RSPO3 (R-spondin-3) were kept in the final model to discriminate early ESCC cases from healthy controls with an area under cu

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Author
Yang, Xiaorong (author);Suo, Chen (author);Zhang, Tongchao (author);Yin, Xiaolin (author);Man, Jinyu (author);Yuan, Ziyu (author);Yu, Jingru (author);Jin, Li (author);Chen, Xingdong (author);Lu, Ming (author);Ye, Weimin (author)
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Medicine (Life Sciences)

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