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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10518597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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