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Identification of potential autophagy-associated lncRNA in prostate cancer
Background: Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer. Methods: Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atla...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148478/ https://www.ncbi.nlm.nih.gov/pubmed/33971627 http://dx.doi.org/10.18632/aging.202997 |
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author | Li, Jun Du, Hong Chen, Wenqiang Qiu, Mingxing He, Peng Ma, Zhiwei |
author_facet | Li, Jun Du, Hong Chen, Wenqiang Qiu, Mingxing He, Peng Ma, Zhiwei |
author_sort | Li, Jun |
collection | PubMed |
description | Background: Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer. Methods: Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) data. An autophagy-mediated competing endogenous RNA network was constructed to screen for autophagy-associated lncRNA, and the preselected lncRNAs were further validated using Gene Expression Omnibus (GEO) datasets. Furthermore, a prognostic lncRNA signature was established and assessed. Additionally, Gene Set Enrichment Analysis (GSEA) revealed the underlying molecular mechanisms. Results: Using a competing endogenous RNA network, 66 differentially expressed lncRNAs associated with autophagy were identified, and the differential expression of 7 lncRNAs were verified using the TCGA-PRAD, GSE21034, and GSE94767 datasets. Additionally, a lncRNA signature associated with autophagy, including MKNK1-AS1 and INE1, was identified as an independent indicator of survival with a C-index of 0.882. The GSEA analysis indicated that several autophagy-related signaling pathways were enriched in different risk groups. Conclusions: The lncRNAs associated with autophagy were identified, and a prediction model was developed that could be used as a prognostic predictor for prostate cancer, indicating the critical role of lncRNA in the regulation of prostate cancer autophagy regulation. |
format | Online Article Text |
id | pubmed-8148478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-81484782021-05-26 Identification of potential autophagy-associated lncRNA in prostate cancer Li, Jun Du, Hong Chen, Wenqiang Qiu, Mingxing He, Peng Ma, Zhiwei Aging (Albany NY) Research Paper Background: Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer. Methods: Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) data. An autophagy-mediated competing endogenous RNA network was constructed to screen for autophagy-associated lncRNA, and the preselected lncRNAs were further validated using Gene Expression Omnibus (GEO) datasets. Furthermore, a prognostic lncRNA signature was established and assessed. Additionally, Gene Set Enrichment Analysis (GSEA) revealed the underlying molecular mechanisms. Results: Using a competing endogenous RNA network, 66 differentially expressed lncRNAs associated with autophagy were identified, and the differential expression of 7 lncRNAs were verified using the TCGA-PRAD, GSE21034, and GSE94767 datasets. Additionally, a lncRNA signature associated with autophagy, including MKNK1-AS1 and INE1, was identified as an independent indicator of survival with a C-index of 0.882. The GSEA analysis indicated that several autophagy-related signaling pathways were enriched in different risk groups. Conclusions: The lncRNAs associated with autophagy were identified, and a prediction model was developed that could be used as a prognostic predictor for prostate cancer, indicating the critical role of lncRNA in the regulation of prostate cancer autophagy regulation. Impact Journals 2021-05-10 /pmc/articles/PMC8148478/ /pubmed/33971627 http://dx.doi.org/10.18632/aging.202997 Text en Copyright: © 2021 Li et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Li, Jun Du, Hong Chen, Wenqiang Qiu, Mingxing He, Peng Ma, Zhiwei Identification of potential autophagy-associated lncRNA in prostate cancer |
title | Identification of potential autophagy-associated lncRNA in prostate cancer |
title_full | Identification of potential autophagy-associated lncRNA in prostate cancer |
title_fullStr | Identification of potential autophagy-associated lncRNA in prostate cancer |
title_full_unstemmed | Identification of potential autophagy-associated lncRNA in prostate cancer |
title_short | Identification of potential autophagy-associated lncRNA in prostate cancer |
title_sort | identification of potential autophagy-associated lncrna in prostate cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148478/ https://www.ncbi.nlm.nih.gov/pubmed/33971627 http://dx.doi.org/10.18632/aging.202997 |
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