Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancerResearch in context
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
Affiliations
Hua Fan
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Xue Li
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Zhong-Wu Li
Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Nai-Ren Zheng
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
Li-Hua Cao
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Bioinformatics, Peking University Cancer Hospital & Institute, Beijing 100142, China
Zong-Chao Liu
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Ming-Wei Liu
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
Kai Li
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
Wen-Hui Wu
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Zhe-Xuan Li
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Tong Zhou
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Yang Zhang
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Wei-Dong Liu
Linqu County Public Health Bureau, Shandong 262600, China
Lan-Fu Zhang
Linqu County People's Hospital, Shandong 262600, China
Wei-Cheng You
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Yi Wang
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
Jianmin Wu
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Bioinformatics, Peking University Cancer Hospital & Institute, Beijing 100142, China; Corresponding author. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Bioinformatics, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Haidian District, Beijing 100142, China.
Kai-Feng Pan
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China; Corresponding author. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Haidian District, Beijing 100142, China.
Jun Qin
State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China; Corresponding author. State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, 38 Lifescience Park Road, Changping District, Beijing 102206, China.
Wen-Qing Li
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China; Corresponding author. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Haidian District, Beijing 100142, China.
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.