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Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer

BACKGROUND: Molecular features underlining the multistage progression of gastric lesions and development of early gastric cancer (GC) are poorly understood, restricting the ability to GC prevention and management. METHODS: We portrayed proteomic landscape and explored proteomic signatures associated...

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Autores principales: Li, Xue, Zheng, Nai-Ren, Wang, Lin-Heng, Li, Zhong-Wu, Liu, Zong-Chao, Fan, Hua, Wang, Yi, Dai, Jin, Ni, Xiao-Tian, Wei, Xin, Liu, Ming-Wei, Li, Kai, Li, Zhe-Xuan, Zhou, Tong, Zhang, Yang, Zhang, Jing-Ying, Kadeerhan, Gaohaer, Huang, Sha, Wu, Wen-Hui, Liu, Wei-Dong, Wu, Xiu-Zhen, Zhang, Lan-Fu, Xu, Jian-Ming, Gerhard, Markus, You, Wei-Cheng, Pan, Kai-Feng, Li, Wen-Qing, Qin, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617343/
https://www.ncbi.nlm.nih.gov/pubmed/34818622
http://dx.doi.org/10.1016/j.ebiom.2021.103714
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author Li, Xue
Zheng, Nai-Ren
Wang, Lin-Heng
Li, Zhong-Wu
Liu, Zong-Chao
Fan, Hua
Wang, Yi
Dai, Jin
Ni, Xiao-Tian
Wei, Xin
Liu, Ming-Wei
Li, Kai
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Zhang, Jing-Ying
Kadeerhan, Gaohaer
Huang, Sha
Wu, Wen-Hui
Liu, Wei-Dong
Wu, Xiu-Zhen
Zhang, Lan-Fu
Xu, Jian-Ming
Gerhard, Markus
You, Wei-Cheng
Pan, Kai-Feng
Li, Wen-Qing
Qin, Jun
author_facet Li, Xue
Zheng, Nai-Ren
Wang, Lin-Heng
Li, Zhong-Wu
Liu, Zong-Chao
Fan, Hua
Wang, Yi
Dai, Jin
Ni, Xiao-Tian
Wei, Xin
Liu, Ming-Wei
Li, Kai
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Zhang, Jing-Ying
Kadeerhan, Gaohaer
Huang, Sha
Wu, Wen-Hui
Liu, Wei-Dong
Wu, Xiu-Zhen
Zhang, Lan-Fu
Xu, Jian-Ming
Gerhard, Markus
You, Wei-Cheng
Pan, Kai-Feng
Li, Wen-Qing
Qin, Jun
author_sort Li, Xue
collection PubMed
description BACKGROUND: Molecular features underlining the multistage progression of gastric lesions and development of early gastric cancer (GC) are poorly understood, restricting the ability to GC prevention and management. METHODS: We portrayed proteomic landscape and explored proteomic signatures associated with progression of gastric lesions and risk of early GC. Tissue proteomic profiling was conducted for a total of 324 subjects. A case-control study was performed in the discovery stage (n=169) based on populations from Linqu, a known high-risk area for GC in China. We then conducted two-stage validation, including a cohort study from Linqu (n = 56), with prospective follow-up for progression of gastric lesions (280–473 days), and an independent case-control study from Beijing (n = 99). FINDINGS: There was a clear distinction in proteomic features for precancerous gastric lesions and GC. We derived four molecular subtypes of gastric lesions and identified subtype-S4 with the highest progression risk. We found 104 positively-associated and 113 inversely-associated proteins for early GC, with APOA1BP, PGC, HPX and DDT associated with the risk of gastric lesion progression. Integrating these proteomic signatures, the ability to predict progression of gastric lesions was significantly strengthened (areas-under-the-curve=0.88 (95%CI: 0.78–0.99) vs. 0.56 (0.36–0.76), Delong's P = 0.002). Immunohistochemistry assays and examination at mRNA level validated the findings for four proteins. INTERPRETATION: We defined proteomic signatures for progression of gastric lesions and risk of early GC, which may have translational significance for identifying particularly high-risk population and detecting GC at an early stage, improving potential for targeted GC prevention. FUNDING: The funders are listed in the Acknowledgement.
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spelling pubmed-86173432021-12-02 Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer Li, Xue Zheng, Nai-Ren Wang, Lin-Heng Li, Zhong-Wu Liu, Zong-Chao Fan, Hua Wang, Yi Dai, Jin Ni, Xiao-Tian Wei, Xin Liu, Ming-Wei Li, Kai Li, Zhe-Xuan Zhou, Tong Zhang, Yang Zhang, Jing-Ying Kadeerhan, Gaohaer Huang, Sha Wu, Wen-Hui Liu, Wei-Dong Wu, Xiu-Zhen Zhang, Lan-Fu Xu, Jian-Ming Gerhard, Markus You, Wei-Cheng Pan, Kai-Feng Li, Wen-Qing Qin, Jun EBioMedicine Original Research BACKGROUND: Molecular features underlining the multistage progression of gastric lesions and development of early gastric cancer (GC) are poorly understood, restricting the ability to GC prevention and management. METHODS: We portrayed proteomic landscape and explored proteomic signatures associated with progression of gastric lesions and risk of early GC. Tissue proteomic profiling was conducted for a total of 324 subjects. A case-control study was performed in the discovery stage (n=169) based on populations from Linqu, a known high-risk area for GC in China. We then conducted two-stage validation, including a cohort study from Linqu (n = 56), with prospective follow-up for progression of gastric lesions (280–473 days), and an independent case-control study from Beijing (n = 99). FINDINGS: There was a clear distinction in proteomic features for precancerous gastric lesions and GC. We derived four molecular subtypes of gastric lesions and identified subtype-S4 with the highest progression risk. We found 104 positively-associated and 113 inversely-associated proteins for early GC, with APOA1BP, PGC, HPX and DDT associated with the risk of gastric lesion progression. Integrating these proteomic signatures, the ability to predict progression of gastric lesions was significantly strengthened (areas-under-the-curve=0.88 (95%CI: 0.78–0.99) vs. 0.56 (0.36–0.76), Delong's P = 0.002). Immunohistochemistry assays and examination at mRNA level validated the findings for four proteins. INTERPRETATION: We defined proteomic signatures for progression of gastric lesions and risk of early GC, which may have translational significance for identifying particularly high-risk population and detecting GC at an early stage, improving potential for targeted GC prevention. FUNDING: The funders are listed in the Acknowledgement. Elsevier 2021-11-22 /pmc/articles/PMC8617343/ /pubmed/34818622 http://dx.doi.org/10.1016/j.ebiom.2021.103714 Text en © 2021 The Authors 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 Original Research
Li, Xue
Zheng, Nai-Ren
Wang, Lin-Heng
Li, Zhong-Wu
Liu, Zong-Chao
Fan, Hua
Wang, Yi
Dai, Jin
Ni, Xiao-Tian
Wei, Xin
Liu, Ming-Wei
Li, Kai
Li, Zhe-Xuan
Zhou, Tong
Zhang, Yang
Zhang, Jing-Ying
Kadeerhan, Gaohaer
Huang, Sha
Wu, Wen-Hui
Liu, Wei-Dong
Wu, Xiu-Zhen
Zhang, Lan-Fu
Xu, Jian-Ming
Gerhard, Markus
You, Wei-Cheng
Pan, Kai-Feng
Li, Wen-Qing
Qin, Jun
Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title_full Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title_fullStr Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title_full_unstemmed Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title_short Proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
title_sort proteomic profiling identifies signatures associated with progression of precancerous gastric lesions and risk of early gastric cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617343/
https://www.ncbi.nlm.nih.gov/pubmed/34818622
http://dx.doi.org/10.1016/j.ebiom.2021.103714
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