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Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancerResearch in context

Authors :
Hua Fan
Xue Li
Zhong-Wu Li
Nai-Ren Zheng
Li-Hua Cao
Zong-Chao Liu
Ming-Wei Liu
Kai Li
Wen-Hui Wu
Zhe-Xuan Li
Tong Zhou
Yang Zhang
Wei-Dong Liu
Lan-Fu Zhang
Wei-Cheng You
Yi Wang
Jianmin Wu
Kai-Feng Pan
Jun Qin
Wen-Qing Li
Source :
EBioMedicine, Vol 86, Iss , Pp 104340- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: Background: Early detection of gastric cancer (GC) remains challenging. We aimed to examine urine proteomic signatures and identify protein biomarkers that predict the progression of gastric lesions and risk of GC. Methods: A case–control study was initially designed, covering subjects with GC and gastric lesions of different stages. Subjects were aged 40–69 years, without prior diagnosis of renal or urological diseases. We enrolled a total of 255 subjects, with 123 in the discovery stage from Linqu, China, a high-risk area for GC and 132 in the validation stage from Linqu and Beijing. A prospective study was further designed for a subset of 60 subjects with gastric lesions, which were followed for 297–857 days. Findings: We identified 43 differentially expressed urine proteins in subjects with GC vs. mild or advanced gastric lesions. Baseline urinary levels of ANXA11, CDC42, NAPA and SLC25A4 were further positively associated with risk of gastric lesion progression. Three of them, except for SLC25A4, also had higher expression in GC than non-GC tissues. Integrating these four proteins showed outstanding performance in predicting the progression of gastric lesions (AUC (95% CI): 0.92 (0.83–1.00)) and risk of GC (AUC (95% CI): 0.81 (0.73–0.89) and 0.84 (0.77–0.92) for GC vs. mild or advanced gastric lesions respectively). Interpretation: This study revealed distinct urine proteomic profiles and a panel of proteins that may predict the progression of gastric lesions and risk of GC. These biomarkers in a non-invasive approach may have translational significance for defining high-risk populations of GC and its early detection. Funding: Funders are listed in the Acknowledgement.

Details

Language :
English
ISSN :
23523964
Volume :
86
Issue :
104340-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.980f309dc3d54cab8f3502b90ca653b6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2022.104340