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Prognostic implications of an autophagy-based signature in colorectal cancer

BACKGROUND: The heterogeneity of colorectal cancer (CRC) poses a significant challenge to the precise treatment of patients. CRC has been divided into 4 consensus molecular subtypes (CMSs) with distinct biological and clinical characteristics, of which CMS4 has the mesenchymal identity and the highe...

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Detalles Bibliográficos
Autores principales: Wang, Liangbin, Jiang, Xinlei, Zhang, Xingguo, Shu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021367/
https://www.ncbi.nlm.nih.gov/pubmed/33787596
http://dx.doi.org/10.1097/MD.0000000000025148
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author Wang, Liangbin
Jiang, Xinlei
Zhang, Xingguo
Shu, Peng
author_facet Wang, Liangbin
Jiang, Xinlei
Zhang, Xingguo
Shu, Peng
author_sort Wang, Liangbin
collection PubMed
description BACKGROUND: The heterogeneity of colorectal cancer (CRC) poses a significant challenge to the precise treatment of patients. CRC has been divided into 4 consensus molecular subtypes (CMSs) with distinct biological and clinical characteristics, of which CMS4 has the mesenchymal identity and the highest relapse rate. Autophagy plays a vital role in CRC development and therapeutic response. METHODS: The gene expression profiles collected from 6 datasets were applied to this study. Network analysis was applied to integrate the subtype-specific molecular modalities and autophagy signature to establish an autophagy-based prognostic signature for CRC (APSCRC). RESULTS: Network analysis revealed that 6 prognostic autophagy genes (VAMP7, DLC1, FKBP1B, PEA15, PEX14, and DNAJB1) predominantly regulated the mesenchymal modalities of CRC. The APSCRC was constructed by these 6 core genes and applied for risk calculation. Patients were divided into high- and low-risk groups based on APSCRC score in all cohorts. Patients within the high-risk group showed an unfavorable prognosis. In multivariate analysis, the APSCRC remained an independent predictor of prognosis. Moreover, the APSCRC achieved higher prognostic power than commercialized multigene signatures. CONCLUSIONS: We proposed and validated an autophagy-based signature, which is a promising prognostic biomarker of CRC patients. Further prospective studies are warranted to test and validate its efficiency for clinical application.
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spelling pubmed-80213672021-04-07 Prognostic implications of an autophagy-based signature in colorectal cancer Wang, Liangbin Jiang, Xinlei Zhang, Xingguo Shu, Peng Medicine (Baltimore) 5700 BACKGROUND: The heterogeneity of colorectal cancer (CRC) poses a significant challenge to the precise treatment of patients. CRC has been divided into 4 consensus molecular subtypes (CMSs) with distinct biological and clinical characteristics, of which CMS4 has the mesenchymal identity and the highest relapse rate. Autophagy plays a vital role in CRC development and therapeutic response. METHODS: The gene expression profiles collected from 6 datasets were applied to this study. Network analysis was applied to integrate the subtype-specific molecular modalities and autophagy signature to establish an autophagy-based prognostic signature for CRC (APSCRC). RESULTS: Network analysis revealed that 6 prognostic autophagy genes (VAMP7, DLC1, FKBP1B, PEA15, PEX14, and DNAJB1) predominantly regulated the mesenchymal modalities of CRC. The APSCRC was constructed by these 6 core genes and applied for risk calculation. Patients were divided into high- and low-risk groups based on APSCRC score in all cohorts. Patients within the high-risk group showed an unfavorable prognosis. In multivariate analysis, the APSCRC remained an independent predictor of prognosis. Moreover, the APSCRC achieved higher prognostic power than commercialized multigene signatures. CONCLUSIONS: We proposed and validated an autophagy-based signature, which is a promising prognostic biomarker of CRC patients. Further prospective studies are warranted to test and validate its efficiency for clinical application. Lippincott Williams & Wilkins 2021-04-02 /pmc/articles/PMC8021367/ /pubmed/33787596 http://dx.doi.org/10.1097/MD.0000000000025148 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 5700
Wang, Liangbin
Jiang, Xinlei
Zhang, Xingguo
Shu, Peng
Prognostic implications of an autophagy-based signature in colorectal cancer
title Prognostic implications of an autophagy-based signature in colorectal cancer
title_full Prognostic implications of an autophagy-based signature in colorectal cancer
title_fullStr Prognostic implications of an autophagy-based signature in colorectal cancer
title_full_unstemmed Prognostic implications of an autophagy-based signature in colorectal cancer
title_short Prognostic implications of an autophagy-based signature in colorectal cancer
title_sort prognostic implications of an autophagy-based signature in colorectal cancer
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021367/
https://www.ncbi.nlm.nih.gov/pubmed/33787596
http://dx.doi.org/10.1097/MD.0000000000025148
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