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Prognostic value of immune-related lncRNA pairs in patients with bladder cancer

BACKGROUND: The characteristics of immune-related long non-coding ribonucleic acids (ir-lncRNAs), regardless of their specific levels, have important implications for the prognosis of patients with bladder cancer. METHODS: Based on The Cancer Genome Atlas database, original transcript data were anal...

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Autores principales: Gao, Zhenzhen, Wu, Dongjuan, Zheng, Wenwen, Zhu, Taohong, Sun, Ting, Yuan, Lianhong, Fei, Faming, Fu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522197/
https://www.ncbi.nlm.nih.gov/pubmed/34663340
http://dx.doi.org/10.1186/s12957-021-02419-8
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author Gao, Zhenzhen
Wu, Dongjuan
Zheng, Wenwen
Zhu, Taohong
Sun, Ting
Yuan, Lianhong
Fei, Faming
Fu, Peng
author_facet Gao, Zhenzhen
Wu, Dongjuan
Zheng, Wenwen
Zhu, Taohong
Sun, Ting
Yuan, Lianhong
Fei, Faming
Fu, Peng
author_sort Gao, Zhenzhen
collection PubMed
description BACKGROUND: The characteristics of immune-related long non-coding ribonucleic acids (ir-lncRNAs), regardless of their specific levels, have important implications for the prognosis of patients with bladder cancer. METHODS: Based on The Cancer Genome Atlas database, original transcript data were analyzed. The ir-lncRNAs were obtained using a coexpression method, and their differentially expressed pairs (DE-ir-lncRNAs) were identified by univariate analysis. The lncRNA pairs were verified using a Lasso regression test. Thereafter, receiver operating characteristic curves were generated, and an optimal risk model was established. The clinical value of the model was verified through the analysis of patient survival rates, clinicopathological characteristics, presence of tumor-infiltrating immune cells, and chemotherapy efficacy evaluation. RESULTS: In total, 49 pairs of DE-ir-lncRNAs were identified, of which 21 were included in the Cox regression model. A risk regression model was established on the premise of not involving the specific expression value of the transcripts. CONCLUSIONS: The method and model used in this study have important clinical predictive value for bladder cancer and other malignant tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02419-8.
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spelling pubmed-85221972021-10-21 Prognostic value of immune-related lncRNA pairs in patients with bladder cancer Gao, Zhenzhen Wu, Dongjuan Zheng, Wenwen Zhu, Taohong Sun, Ting Yuan, Lianhong Fei, Faming Fu, Peng World J Surg Oncol Research BACKGROUND: The characteristics of immune-related long non-coding ribonucleic acids (ir-lncRNAs), regardless of their specific levels, have important implications for the prognosis of patients with bladder cancer. METHODS: Based on The Cancer Genome Atlas database, original transcript data were analyzed. The ir-lncRNAs were obtained using a coexpression method, and their differentially expressed pairs (DE-ir-lncRNAs) were identified by univariate analysis. The lncRNA pairs were verified using a Lasso regression test. Thereafter, receiver operating characteristic curves were generated, and an optimal risk model was established. The clinical value of the model was verified through the analysis of patient survival rates, clinicopathological characteristics, presence of tumor-infiltrating immune cells, and chemotherapy efficacy evaluation. RESULTS: In total, 49 pairs of DE-ir-lncRNAs were identified, of which 21 were included in the Cox regression model. A risk regression model was established on the premise of not involving the specific expression value of the transcripts. CONCLUSIONS: The method and model used in this study have important clinical predictive value for bladder cancer and other malignant tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02419-8. BioMed Central 2021-10-18 /pmc/articles/PMC8522197/ /pubmed/34663340 http://dx.doi.org/10.1186/s12957-021-02419-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gao, Zhenzhen
Wu, Dongjuan
Zheng, Wenwen
Zhu, Taohong
Sun, Ting
Yuan, Lianhong
Fei, Faming
Fu, Peng
Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title_full Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title_fullStr Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title_full_unstemmed Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title_short Prognostic value of immune-related lncRNA pairs in patients with bladder cancer
title_sort prognostic value of immune-related lncrna pairs in patients with bladder cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522197/
https://www.ncbi.nlm.nih.gov/pubmed/34663340
http://dx.doi.org/10.1186/s12957-021-02419-8
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