Cargando…
Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer
OBJECTIVE: Bladder cancer (BC) is one of the top ten cancers endangering human health but we still lack accurate tools for BC patients’ risk stratification. This study aimed to develop an autophagy-related signature that could predict the prognosis of BC. In order to provide clinical doctors with a...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252967/ https://www.ncbi.nlm.nih.gov/pubmed/34221960 http://dx.doi.org/10.3389/fonc.2021.632387 |
_version_ | 1783717409856684032 |
---|---|
author | Yan, Xin Wu, Hua-Hui Chen, Zhao Du, Guo-Wei Bai, Xiao-Jie Tuoheti, Kurerban Liu, Tong-Zu |
author_facet | Yan, Xin Wu, Hua-Hui Chen, Zhao Du, Guo-Wei Bai, Xiao-Jie Tuoheti, Kurerban Liu, Tong-Zu |
author_sort | Yan, Xin |
collection | PubMed |
description | OBJECTIVE: Bladder cancer (BC) is one of the top ten cancers endangering human health but we still lack accurate tools for BC patients’ risk stratification. This study aimed to develop an autophagy-related signature that could predict the prognosis of BC. In order to provide clinical doctors with a visual tool that could precisely predict the survival probability of BC patients, we also attempted to establish a nomogram based on the risk signature. METHODS: We screened out autophagy-related genes (ARGs) combining weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) in BC. Based on the screened ARGs, we performed survival analysis and Cox regression analysis to identify potential prognostic biomarkers. A risk signature based on the prognostic ARGs by multivariate Cox regression analysis was established, which was validated by using seven datasets. To provide clinical doctors with a useful tool for survival possibility prediction, a nomogram assessed by the ARG-based signature and clinicopathological features was constructed, verified using four independent datasets. RESULTS: Three prognostic biomarkers including BOC (P = 0.008, HR = 1.104), FGF7(P = 0.030, HR = 1.066), and MAP1A (P = 0.001, HR = 1.173) were identified and validated. An autophagy-related risk signature was established and validated. This signature could act as an independent prognostic feature in patients with BC (P = 0.047, HR = 1.419). We then constructed two nomograms with and without ARG-based signature and subsequent analysis indicated that the nomogram with ARG signature showed high accuracy for overall survival probability prediction of patients with BC (C-index = 0.732, AUC = 0.816). These results proved that the ARG signature improved the clinical net benefit of the standard model based on clinicopathological features (age, pathologic stage). CONCLUSIONS: Three ARGs were identified as prognosis biomarkers in BC. An ARG-based signature was established for the first time, showing strong potential for prognosis prediction in BC. This signature was proven to improve the clinical net benefit of the standard model. A nomogram was established using this signature, which could lead to more effective prognosis prediction for BC patients. |
format | Online Article Text |
id | pubmed-8252967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82529672021-07-03 Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer Yan, Xin Wu, Hua-Hui Chen, Zhao Du, Guo-Wei Bai, Xiao-Jie Tuoheti, Kurerban Liu, Tong-Zu Front Oncol Oncology OBJECTIVE: Bladder cancer (BC) is one of the top ten cancers endangering human health but we still lack accurate tools for BC patients’ risk stratification. This study aimed to develop an autophagy-related signature that could predict the prognosis of BC. In order to provide clinical doctors with a visual tool that could precisely predict the survival probability of BC patients, we also attempted to establish a nomogram based on the risk signature. METHODS: We screened out autophagy-related genes (ARGs) combining weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) in BC. Based on the screened ARGs, we performed survival analysis and Cox regression analysis to identify potential prognostic biomarkers. A risk signature based on the prognostic ARGs by multivariate Cox regression analysis was established, which was validated by using seven datasets. To provide clinical doctors with a useful tool for survival possibility prediction, a nomogram assessed by the ARG-based signature and clinicopathological features was constructed, verified using four independent datasets. RESULTS: Three prognostic biomarkers including BOC (P = 0.008, HR = 1.104), FGF7(P = 0.030, HR = 1.066), and MAP1A (P = 0.001, HR = 1.173) were identified and validated. An autophagy-related risk signature was established and validated. This signature could act as an independent prognostic feature in patients with BC (P = 0.047, HR = 1.419). We then constructed two nomograms with and without ARG-based signature and subsequent analysis indicated that the nomogram with ARG signature showed high accuracy for overall survival probability prediction of patients with BC (C-index = 0.732, AUC = 0.816). These results proved that the ARG signature improved the clinical net benefit of the standard model based on clinicopathological features (age, pathologic stage). CONCLUSIONS: Three ARGs were identified as prognosis biomarkers in BC. An ARG-based signature was established for the first time, showing strong potential for prognosis prediction in BC. This signature was proven to improve the clinical net benefit of the standard model. A nomogram was established using this signature, which could lead to more effective prognosis prediction for BC patients. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8252967/ /pubmed/34221960 http://dx.doi.org/10.3389/fonc.2021.632387 Text en Copyright © 2021 Yan, Wu, Chen, Du, Bai, Tuoheti and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Yan, Xin Wu, Hua-Hui Chen, Zhao Du, Guo-Wei Bai, Xiao-Jie Tuoheti, Kurerban Liu, Tong-Zu Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title | Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title_full | Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title_fullStr | Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title_full_unstemmed | Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title_short | Construction and Validation of an Autophagy-Related Prognostic Signature and a Nomogram for Bladder Cancer |
title_sort | construction and validation of an autophagy-related prognostic signature and a nomogram for bladder cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252967/ https://www.ncbi.nlm.nih.gov/pubmed/34221960 http://dx.doi.org/10.3389/fonc.2021.632387 |
work_keys_str_mv | AT yanxin constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT wuhuahui constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT chenzhao constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT duguowei constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT baixiaojie constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT tuohetikurerban constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer AT liutongzu constructionandvalidationofanautophagyrelatedprognosticsignatureandanomogramforbladdercancer |