Ontology highlight
ABSTRACT: 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.
SUBMITTER: Fan H
PROVIDER: S-EPMC9649370 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Fan Hua H Li Xue X Li Zhong-Wu ZW Zheng Nai-Ren NR Cao Li-Hua LH Liu Zong-Chao ZC Liu Ming-Wei MW Li Kai K Wu Wen-Hui WH Li Zhe-Xuan ZX Zhou Tong T Zhang Yang Y Liu Wei-Dong WD Zhang Lan-Fu LF You Wei-Cheng WC Wang Yi Y Wu Jianmin J Pan Kai-Feng KF Qin Jun J Li Wen-Qing WQ
EBioMedicine 20221107
<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]