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Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma

Upper tract urothelial carcinoma (UTUC) is often diagnosed late and exhibits poor prognosis. Limited data are available on potential non-invasive biomarkers for disease monitoring. Here, we investigate the proteomic profile of plasma in 362 UTUC patients and 239 healthy controls. We present an integ...

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Autores principales: Qu, Yuanyuan, Yao, Zhenmei, Xu, Ning, Shi, Guohai, Su, Jiaqi, Ye, Shiqi, Chang, Kun, Li, Kai, Wang, Yunzhi, Tan, Subei, Pei, Xiaoru, Chen, Yijiao, Qin, Zhaoyu, Feng, Jinwen, Lv, Jiacheng, Zhu, Jiajun, Ma, Fahan, Tang, Shaoshuai, Xu, Wenhao, Tian, Xi, Anwaier, Aihetaimujiang, Tian, Sha, Xu, Wenbo, Wu, Xinqiang, Zhu, Shuxuan, Zhu, Yu, Cao, Dalong, Sun, Menghong, Gan, Hualei, Zhao, Jianyuan, Zhang, Hailiang, Ye, Dingwei, Ding, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518597/
https://www.ncbi.nlm.nih.gov/pubmed/37633276
http://dx.doi.org/10.1016/j.xcrm.2023.101166
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author Qu, Yuanyuan
Yao, Zhenmei
Xu, Ning
Shi, Guohai
Su, Jiaqi
Ye, Shiqi
Chang, Kun
Li, Kai
Wang, Yunzhi
Tan, Subei
Pei, Xiaoru
Chen, Yijiao
Qin, Zhaoyu
Feng, Jinwen
Lv, Jiacheng
Zhu, Jiajun
Ma, Fahan
Tang, Shaoshuai
Xu, Wenhao
Tian, Xi
Anwaier, Aihetaimujiang
Tian, Sha
Xu, Wenbo
Wu, Xinqiang
Zhu, Shuxuan
Zhu, Yu
Cao, Dalong
Sun, Menghong
Gan, Hualei
Zhao, Jianyuan
Zhang, Hailiang
Ye, Dingwei
Ding, Chen
author_facet Qu, Yuanyuan
Yao, Zhenmei
Xu, Ning
Shi, Guohai
Su, Jiaqi
Ye, Shiqi
Chang, Kun
Li, Kai
Wang, Yunzhi
Tan, Subei
Pei, Xiaoru
Chen, Yijiao
Qin, Zhaoyu
Feng, Jinwen
Lv, Jiacheng
Zhu, Jiajun
Ma, Fahan
Tang, Shaoshuai
Xu, Wenhao
Tian, Xi
Anwaier, Aihetaimujiang
Tian, Sha
Xu, Wenbo
Wu, Xinqiang
Zhu, Shuxuan
Zhu, Yu
Cao, Dalong
Sun, Menghong
Gan, Hualei
Zhao, Jianyuan
Zhang, Hailiang
Ye, Dingwei
Ding, Chen
author_sort Qu, Yuanyuan
collection PubMed
description Upper tract urothelial carcinoma (UTUC) is often diagnosed late and exhibits poor prognosis. Limited data are available on potential non-invasive biomarkers for disease monitoring. Here, we investigate the proteomic profile of plasma in 362 UTUC patients and 239 healthy controls. We present an integrated tissue-plasma proteomic approach to infer the signature proteins for identifying patients with muscle-invasive UTUC. We discover a protein panel that reflects lymph node metastasis, which is of interest in identifying UTUC patients with high risk and poor prognosis. We also identify a ten-protein classifier and establish a progression clock predicting progression-free survival of UTUC patients. Finally, we further validate the signature proteins by parallel reaction monitoring assay in an independent cohort. Collectively, this study portrays the plasma proteomic landscape of a UTUC cohort and provides a valuable resource for further biological and diagnostic research in UTUC.
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spelling pubmed-105185972023-09-26 Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma Qu, Yuanyuan Yao, Zhenmei Xu, Ning Shi, Guohai Su, Jiaqi Ye, Shiqi Chang, Kun Li, Kai Wang, Yunzhi Tan, Subei Pei, Xiaoru Chen, Yijiao Qin, Zhaoyu Feng, Jinwen Lv, Jiacheng Zhu, Jiajun Ma, Fahan Tang, Shaoshuai Xu, Wenhao Tian, Xi Anwaier, Aihetaimujiang Tian, Sha Xu, Wenbo Wu, Xinqiang Zhu, Shuxuan Zhu, Yu Cao, Dalong Sun, Menghong Gan, Hualei Zhao, Jianyuan Zhang, Hailiang Ye, Dingwei Ding, Chen Cell Rep Med Article Upper tract urothelial carcinoma (UTUC) is often diagnosed late and exhibits poor prognosis. Limited data are available on potential non-invasive biomarkers for disease monitoring. Here, we investigate the proteomic profile of plasma in 362 UTUC patients and 239 healthy controls. We present an integrated tissue-plasma proteomic approach to infer the signature proteins for identifying patients with muscle-invasive UTUC. We discover a protein panel that reflects lymph node metastasis, which is of interest in identifying UTUC patients with high risk and poor prognosis. We also identify a ten-protein classifier and establish a progression clock predicting progression-free survival of UTUC patients. Finally, we further validate the signature proteins by parallel reaction monitoring assay in an independent cohort. Collectively, this study portrays the plasma proteomic landscape of a UTUC cohort and provides a valuable resource for further biological and diagnostic research in UTUC. Elsevier 2023-08-25 /pmc/articles/PMC10518597/ /pubmed/37633276 http://dx.doi.org/10.1016/j.xcrm.2023.101166 Text en © 2023 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 Article
Qu, Yuanyuan
Yao, Zhenmei
Xu, Ning
Shi, Guohai
Su, Jiaqi
Ye, Shiqi
Chang, Kun
Li, Kai
Wang, Yunzhi
Tan, Subei
Pei, Xiaoru
Chen, Yijiao
Qin, Zhaoyu
Feng, Jinwen
Lv, Jiacheng
Zhu, Jiajun
Ma, Fahan
Tang, Shaoshuai
Xu, Wenhao
Tian, Xi
Anwaier, Aihetaimujiang
Tian, Sha
Xu, Wenbo
Wu, Xinqiang
Zhu, Shuxuan
Zhu, Yu
Cao, Dalong
Sun, Menghong
Gan, Hualei
Zhao, Jianyuan
Zhang, Hailiang
Ye, Dingwei
Ding, Chen
Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title_full Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title_fullStr Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title_full_unstemmed Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title_short Plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
title_sort plasma proteomic profiling discovers molecular features associated with upper tract urothelial carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518597/
https://www.ncbi.nlm.nih.gov/pubmed/37633276
http://dx.doi.org/10.1016/j.xcrm.2023.101166
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