Cargando…

Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer

Bladder cancer (BC) is one of the most common malignant urinary system tumors, and its prognosis is poor. In recent years, autophagy has been closely linked to the development of BC. Therefore, we investigated the potential prognostic role of autophagy-related long non-coding RNA (lncRNA) in patient...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Jiaming, Guo, Cheng, Fang, Hongpeng, Xu, Zhongye, Hu, Yongwei, Luo, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049181/
https://www.ncbi.nlm.nih.gov/pubmed/33869042
http://dx.doi.org/10.3389/fonc.2021.647236
_version_ 1783679379280232448
author Wan, Jiaming
Guo, Cheng
Fang, Hongpeng
Xu, Zhongye
Hu, Yongwei
Luo, Yun
author_facet Wan, Jiaming
Guo, Cheng
Fang, Hongpeng
Xu, Zhongye
Hu, Yongwei
Luo, Yun
author_sort Wan, Jiaming
collection PubMed
description Bladder cancer (BC) is one of the most common malignant urinary system tumors, and its prognosis is poor. In recent years, autophagy has been closely linked to the development of BC. Therefore, we investigated the potential prognostic role of autophagy-related long non-coding RNA (lncRNA) in patients with BC. We obtained the lncRNA information and autophagy genes, respectively, from The Cancer Genome Atlas (TCGA) data set and the human autophagy database (HADb) and performed a co-expression analysis to identify autophagy gene-associated lncRNAs. Then, we divided the data into training group and testing group. In the training group, 15 autophagy-related lncRNAs were found to have a prognostic value (AC026369.3, USP30-as1, AC007991.2, AC104785.1, AC010503.4, AC037198.1, AC010331.1, AF131215.6, AC084357.2, THUMPD3-AS1, U62317.4, MAN1B1-DTt, AC024060.1, AL662844.4, and AC005229.4). The patients were divided into low-risk group and high-risk group based on the prognostic lncRNAs. The overall survival (OS) time for the high-risk group was shorter than that for the low-risk group [risk ratio (hazard ratio, HR) = 1.08, 95% CI: 1.06–1.10; p < 0.0001]. Using our model, the defined risk value can predict the prognosis of a patient. Next, the model was assessed in the TCGA testing group to further validate these results. A total of 203 patients with BC were recruited to verify the lncRNA characteristics. We divided these patients into high-risk group and low-risk group. The results of testing data set show that the survival time of high-risk patients is shorter than that of low-risk patients. In the training group, the area under the curve (AUC) was more than 0.7, indicating a high level of accuracy. The AUC for a risk model was greater than that for each clinical feature alone, indicating that the risk value of a model was the best indicator for predicting the prognosis. Further training data analysis showed that the gene set was significantly enriched in cancer-related pathways, including actin cytoskeleton regulation and gap junctions. In conclusion, our 15 autophagy-related lncRNAs have a prognostic potential for BC, and may play key roles in the biology of BC.
format Online
Article
Text
id pubmed-8049181
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-80491812021-04-16 Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer Wan, Jiaming Guo, Cheng Fang, Hongpeng Xu, Zhongye Hu, Yongwei Luo, Yun Front Oncol Oncology Bladder cancer (BC) is one of the most common malignant urinary system tumors, and its prognosis is poor. In recent years, autophagy has been closely linked to the development of BC. Therefore, we investigated the potential prognostic role of autophagy-related long non-coding RNA (lncRNA) in patients with BC. We obtained the lncRNA information and autophagy genes, respectively, from The Cancer Genome Atlas (TCGA) data set and the human autophagy database (HADb) and performed a co-expression analysis to identify autophagy gene-associated lncRNAs. Then, we divided the data into training group and testing group. In the training group, 15 autophagy-related lncRNAs were found to have a prognostic value (AC026369.3, USP30-as1, AC007991.2, AC104785.1, AC010503.4, AC037198.1, AC010331.1, AF131215.6, AC084357.2, THUMPD3-AS1, U62317.4, MAN1B1-DTt, AC024060.1, AL662844.4, and AC005229.4). The patients were divided into low-risk group and high-risk group based on the prognostic lncRNAs. The overall survival (OS) time for the high-risk group was shorter than that for the low-risk group [risk ratio (hazard ratio, HR) = 1.08, 95% CI: 1.06–1.10; p < 0.0001]. Using our model, the defined risk value can predict the prognosis of a patient. Next, the model was assessed in the TCGA testing group to further validate these results. A total of 203 patients with BC were recruited to verify the lncRNA characteristics. We divided these patients into high-risk group and low-risk group. The results of testing data set show that the survival time of high-risk patients is shorter than that of low-risk patients. In the training group, the area under the curve (AUC) was more than 0.7, indicating a high level of accuracy. The AUC for a risk model was greater than that for each clinical feature alone, indicating that the risk value of a model was the best indicator for predicting the prognosis. Further training data analysis showed that the gene set was significantly enriched in cancer-related pathways, including actin cytoskeleton regulation and gap junctions. In conclusion, our 15 autophagy-related lncRNAs have a prognostic potential for BC, and may play key roles in the biology of BC. Frontiers Media S.A. 2021-04-01 /pmc/articles/PMC8049181/ /pubmed/33869042 http://dx.doi.org/10.3389/fonc.2021.647236 Text en Copyright © 2021 Wan, Guo, Fang, Xu, Hu and Luo. 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
Wan, Jiaming
Guo, Cheng
Fang, Hongpeng
Xu, Zhongye
Hu, Yongwei
Luo, Yun
Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title_full Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title_fullStr Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title_full_unstemmed Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title_short Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer
title_sort autophagy-related long non-coding rna is a prognostic indicator for bladder cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049181/
https://www.ncbi.nlm.nih.gov/pubmed/33869042
http://dx.doi.org/10.3389/fonc.2021.647236
work_keys_str_mv AT wanjiaming autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer
AT guocheng autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer
AT fanghongpeng autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer
AT xuzhongye autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer
AT huyongwei autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer
AT luoyun autophagyrelatedlongnoncodingrnaisaprognosticindicatorforbladdercancer