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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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 |
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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 |
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