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Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer
To identify an immune-related prognostic signature based on long non-coding RNAs (lncRNAs) and find immunotherapeutic targets for bladder urothelial carcinoma, we downloaded RNA-sequencing data from The Cancer Genome Atlas (TCGA) dataset. Functional enrichment analysis demonstrated bladder urothelia...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343518/ https://www.ncbi.nlm.nih.gov/pubmed/32579540 http://dx.doi.org/10.18632/aging.103369 |
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author | Song, Yuxuan Jin, Donghui Chen, Jingyi Luo, Zhiwen Chen, Guangyuan Yang, Yongjiao Liu, Xiaoqiang |
author_facet | Song, Yuxuan Jin, Donghui Chen, Jingyi Luo, Zhiwen Chen, Guangyuan Yang, Yongjiao Liu, Xiaoqiang |
author_sort | Song, Yuxuan |
collection | PubMed |
description | To identify an immune-related prognostic signature based on long non-coding RNAs (lncRNAs) and find immunotherapeutic targets for bladder urothelial carcinoma, we downloaded RNA-sequencing data from The Cancer Genome Atlas (TCGA) dataset. Functional enrichment analysis demonstrated bladder urothelial carcinoma was related to immune-related functions. We obtained 332 immune-related genes and 262 lncRNAs targeting immune-related genes. We constructed a signature based on eight lncRNAs in training cohort. Patients were classified as high-risk and low-risk according to signature risk score. High-risk patients had poor overall survival compared with low-risk patients (P < 0.001). Multivariate Cox regression suggested the signature was an independent prognostic indicator. The findings were further validated in testing, entire TCGA and external validation cohorts. Gene set enrichment analysis indicated significant enrichment of immune-related phenotype in high-risk group. Immunohistochemistry and online analyses validated the functions of 4 key immune-related genes (LIG1, TBX1, CTSG and CXCL12) in bladder urothelial carcinoma. Nomogram proved to be a good classifier for muscle-invasive bladder cancer through combining the signature. In conclusion, our immune-related prognostic signature and nomogram provided prognostic indicators and potential immunotherapeutic targets for muscle-invasive bladder cancer. |
format | Online Article Text |
id | pubmed-7343518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-73435182020-07-15 Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer Song, Yuxuan Jin, Donghui Chen, Jingyi Luo, Zhiwen Chen, Guangyuan Yang, Yongjiao Liu, Xiaoqiang Aging (Albany NY) Research Paper To identify an immune-related prognostic signature based on long non-coding RNAs (lncRNAs) and find immunotherapeutic targets for bladder urothelial carcinoma, we downloaded RNA-sequencing data from The Cancer Genome Atlas (TCGA) dataset. Functional enrichment analysis demonstrated bladder urothelial carcinoma was related to immune-related functions. We obtained 332 immune-related genes and 262 lncRNAs targeting immune-related genes. We constructed a signature based on eight lncRNAs in training cohort. Patients were classified as high-risk and low-risk according to signature risk score. High-risk patients had poor overall survival compared with low-risk patients (P < 0.001). Multivariate Cox regression suggested the signature was an independent prognostic indicator. The findings were further validated in testing, entire TCGA and external validation cohorts. Gene set enrichment analysis indicated significant enrichment of immune-related phenotype in high-risk group. Immunohistochemistry and online analyses validated the functions of 4 key immune-related genes (LIG1, TBX1, CTSG and CXCL12) in bladder urothelial carcinoma. Nomogram proved to be a good classifier for muscle-invasive bladder cancer through combining the signature. In conclusion, our immune-related prognostic signature and nomogram provided prognostic indicators and potential immunotherapeutic targets for muscle-invasive bladder cancer. Impact Journals 2020-06-24 /pmc/articles/PMC7343518/ /pubmed/32579540 http://dx.doi.org/10.18632/aging.103369 Text en Copyright © 2020 Song et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (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 Song, Yuxuan Jin, Donghui Chen, Jingyi Luo, Zhiwen Chen, Guangyuan Yang, Yongjiao Liu, Xiaoqiang Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title | Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title_full | Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title_fullStr | Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title_full_unstemmed | Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title_short | Identification of an immune-related long non-coding RNA signature and nomogram as prognostic target for muscle-invasive bladder cancer |
title_sort | identification of an immune-related long non-coding rna signature and nomogram as prognostic target for muscle-invasive bladder cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343518/ https://www.ncbi.nlm.nih.gov/pubmed/32579540 http://dx.doi.org/10.18632/aging.103369 |
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