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A circRNA signature predicts postoperative recurrence in stage II/III colon cancer

Accurate risk stratification for patients with stage II/III colon cancer is pivotal for postoperative treatment decisions. Here, we aimed to identify and validate a circRNA‐based signature that could improve postoperative prognostic stratification for these patients. In current retrospective analysi...

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Autores principales: Ju, Huai‐Qiang, Zhao, Qi, Wang, Feng, Lan, Ping, Wang, Zixian, Zuo, Zhi‐Xiang, Wu, Qi‐Nian, Fan, Xin‐Juan, Mo, Hai‐Yu, Chen, Li, Li, Ting, Ren, Chao, Wan, Xiang‐Bo, Chen, Gong, Li, Yu‐Hong, Jia, Wei‐Hua, Xu, Rui‐Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783650/
https://www.ncbi.nlm.nih.gov/pubmed/31475771
http://dx.doi.org/10.15252/emmm.201810168
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author Ju, Huai‐Qiang
Zhao, Qi
Wang, Feng
Lan, Ping
Wang, Zixian
Zuo, Zhi‐Xiang
Wu, Qi‐Nian
Fan, Xin‐Juan
Mo, Hai‐Yu
Chen, Li
Li, Ting
Ren, Chao
Wan, Xiang‐Bo
Chen, Gong
Li, Yu‐Hong
Jia, Wei‐Hua
Xu, Rui‐Hua
author_facet Ju, Huai‐Qiang
Zhao, Qi
Wang, Feng
Lan, Ping
Wang, Zixian
Zuo, Zhi‐Xiang
Wu, Qi‐Nian
Fan, Xin‐Juan
Mo, Hai‐Yu
Chen, Li
Li, Ting
Ren, Chao
Wan, Xiang‐Bo
Chen, Gong
Li, Yu‐Hong
Jia, Wei‐Hua
Xu, Rui‐Hua
author_sort Ju, Huai‐Qiang
collection PubMed
description Accurate risk stratification for patients with stage II/III colon cancer is pivotal for postoperative treatment decisions. Here, we aimed to identify and validate a circRNA‐based signature that could improve postoperative prognostic stratification for these patients. In current retrospective analysis, we included 667 patients with R0 resected stage II/III colon cancer. Using RNA‐seq analysis of 20 paired frozen tissues collected postoperation, we profiled differential circRNA expression between patients with and without recurrence, followed by quantitative validation. With clinical information, we generated a four‐circRNA‐based cirScore to classify patients into high‐risk and low‐risk groups in the training cohort. The patients with high cirScores in the training cohort had a shorter disease‐free survival (DFS) and overall survival (OS) than patients with low cirScores. The prognostic capacity of the classifier was validated in the internal and external cohorts. Loss‐of‐function assays indicated that the selected circRNAs played functional roles in colon cancer progression. Overall, our four‐circRNA‐based classifier is a reliable prognostic tool for postoperative disease recurrence in patients with stage II/III colon cancer.
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spelling pubmed-67836502019-10-17 A circRNA signature predicts postoperative recurrence in stage II/III colon cancer Ju, Huai‐Qiang Zhao, Qi Wang, Feng Lan, Ping Wang, Zixian Zuo, Zhi‐Xiang Wu, Qi‐Nian Fan, Xin‐Juan Mo, Hai‐Yu Chen, Li Li, Ting Ren, Chao Wan, Xiang‐Bo Chen, Gong Li, Yu‐Hong Jia, Wei‐Hua Xu, Rui‐Hua EMBO Mol Med Articles Accurate risk stratification for patients with stage II/III colon cancer is pivotal for postoperative treatment decisions. Here, we aimed to identify and validate a circRNA‐based signature that could improve postoperative prognostic stratification for these patients. In current retrospective analysis, we included 667 patients with R0 resected stage II/III colon cancer. Using RNA‐seq analysis of 20 paired frozen tissues collected postoperation, we profiled differential circRNA expression between patients with and without recurrence, followed by quantitative validation. With clinical information, we generated a four‐circRNA‐based cirScore to classify patients into high‐risk and low‐risk groups in the training cohort. The patients with high cirScores in the training cohort had a shorter disease‐free survival (DFS) and overall survival (OS) than patients with low cirScores. The prognostic capacity of the classifier was validated in the internal and external cohorts. Loss‐of‐function assays indicated that the selected circRNAs played functional roles in colon cancer progression. Overall, our four‐circRNA‐based classifier is a reliable prognostic tool for postoperative disease recurrence in patients with stage II/III colon cancer. John Wiley and Sons Inc. 2019-09-02 2019-10 /pmc/articles/PMC6783650/ /pubmed/31475771 http://dx.doi.org/10.15252/emmm.201810168 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Ju, Huai‐Qiang
Zhao, Qi
Wang, Feng
Lan, Ping
Wang, Zixian
Zuo, Zhi‐Xiang
Wu, Qi‐Nian
Fan, Xin‐Juan
Mo, Hai‐Yu
Chen, Li
Li, Ting
Ren, Chao
Wan, Xiang‐Bo
Chen, Gong
Li, Yu‐Hong
Jia, Wei‐Hua
Xu, Rui‐Hua
A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title_full A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title_fullStr A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title_full_unstemmed A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title_short A circRNA signature predicts postoperative recurrence in stage II/III colon cancer
title_sort circrna signature predicts postoperative recurrence in stage ii/iii colon cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783650/
https://www.ncbi.nlm.nih.gov/pubmed/31475771
http://dx.doi.org/10.15252/emmm.201810168
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