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Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer

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 g...

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Autores principales: Fan, Hua, Li, Xue, Li, Zhong-Wu, Zheng, Nai-Ren, Cao, Li-Hua, Liu, Zong-Chao, Liu, Ming-Wei, Li, Kai, Wu, Wen-Hui, Li, Zhe-Xuan, Zhou, Tong, Zhang, Yang, Liu, Wei-Dong, Zhang, Lan-Fu, You, Wei-Cheng, Wang, Yi, Wu, Jianmin, Pan, Kai-Feng, Qin, Jun, Li, Wen-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649370/
https://www.ncbi.nlm.nih.gov/pubmed/36356476
http://dx.doi.org/10.1016/j.ebiom.2022.104340
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author Fan, Hua
Li, Xue
Li, Zhong-Wu
Zheng, Nai-Ren
Cao, Li-Hua
Liu, Zong-Chao
Liu, Ming-Wei
Li, Kai
Wu, Wen-Hui
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Liu, Wei-Dong
Zhang, Lan-Fu
You, Wei-Cheng
Wang, Yi
Wu, Jianmin
Pan, Kai-Feng
Qin, Jun
Li, Wen-Qing
author_facet Fan, Hua
Li, Xue
Li, Zhong-Wu
Zheng, Nai-Ren
Cao, Li-Hua
Liu, Zong-Chao
Liu, Ming-Wei
Li, Kai
Wu, Wen-Hui
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Liu, Wei-Dong
Zhang, Lan-Fu
You, Wei-Cheng
Wang, Yi
Wu, Jianmin
Pan, Kai-Feng
Qin, Jun
Li, Wen-Qing
author_sort Fan, Hua
collection PubMed
description 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.
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spelling pubmed-96493702022-11-15 Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer Fan, Hua Li, Xue Li, Zhong-Wu Zheng, Nai-Ren Cao, Li-Hua Liu, Zong-Chao Liu, Ming-Wei Li, Kai Wu, Wen-Hui Li, Zhe-Xuan Zhou, Tong Zhang, Yang Liu, Wei-Dong Zhang, Lan-Fu You, Wei-Cheng Wang, Yi Wu, Jianmin Pan, Kai-Feng Qin, Jun Li, Wen-Qing eBioMedicine Articles 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. Elsevier 2022-11-07 /pmc/articles/PMC9649370/ /pubmed/36356476 http://dx.doi.org/10.1016/j.ebiom.2022.104340 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Fan, Hua
Li, Xue
Li, Zhong-Wu
Zheng, Nai-Ren
Cao, Li-Hua
Liu, Zong-Chao
Liu, Ming-Wei
Li, Kai
Wu, Wen-Hui
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Liu, Wei-Dong
Zhang, Lan-Fu
You, Wei-Cheng
Wang, Yi
Wu, Jianmin
Pan, Kai-Feng
Qin, Jun
Li, Wen-Qing
Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title_full Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title_fullStr Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title_full_unstemmed Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title_short Urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
title_sort urine proteomic signatures predicting the progression from premalignancy to malignant gastric cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649370/
https://www.ncbi.nlm.nih.gov/pubmed/36356476
http://dx.doi.org/10.1016/j.ebiom.2022.104340
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