An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer

Abstract Background Bladder cancer (BLCA) typically has a poor prognosis due to high relapse and metastasis rates. A growing body of evidence indicates that N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) play crucial roles in the progression of BLCA and the treatment response of patient...

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Autores principales:	Tianming Ma, Xiaonan Wang, Lingfeng Meng, Xiaodong Liu, Jiawen Wang, Wei Zhang, Zijian Tian, Yaoguang Zhang
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Bladder cancer N6-methyladenosine Long non-coding RNA Prognostic signature Immune infiltration Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/61feb9d7b4c2441aae716dd3bd1066e3
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spelling	oai:doaj.org-article:61feb9d7b4c2441aae716dd3bd1066e32021-11-28T12:27:30ZAn effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer10.1186/s12885-021-08981-41471-2407https://doaj.org/article/61feb9d7b4c2441aae716dd3bd1066e32021-11-01T00:00:00Zhttps://doi.org/10.1186/s12885-021-08981-4https://doaj.org/toc/1471-2407Abstract Background Bladder cancer (BLCA) typically has a poor prognosis due to high relapse and metastasis rates. A growing body of evidence indicates that N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) play crucial roles in the progression of BLCA and the treatment response of patients with BLCA. Therefore, we conducted a comprehensive RNA-seq analysis of BLCA using data from The Cancer Genome Atlas (TCGA) to establish an m6A-related lncRNA prognostic signature (m6A-RLPS) for BLCA. Methods Consensus clustering analysis was used to investigate clusters of BLCA patients with varying prognoses. The least absolute shrinkage and selection operator Cox regression were used to develop the m6A-RLPS. The ESTIMATE and CIBERSORT algorithms were used to evaluate the immune composition. Results A total of 745 m6A-related lncRNAs were identified using Pearson correlation analysis (\|R\| > 0.4, p < 0.001). Fifty-one prognostic m6A-related lncRNAs were screened using univariate Cox regression analysis. Through consensus clustering analysis, patients were divided into two clusters (clusters 1 and 2) with different overall survival rates and tumor stages based on the differential expression of the lncRNAs. Enrichment analysis demonstrated that terms related to tumor biological processes and immune-related activities were increased in patient cluster 2, which was more likely to exhibit low survival rates. Nine m6A-related prognostic lncRNAs were finally determined and subsequently used to construct the m6A-RLPS, which was verified to be an independent predictor of prognosis using univariate and multivariate Cox regression analyses. Further, a nomogram based on age, tumor stage, and the m6A-RLPS was generated and showed high accuracy and reliability with respect to predicting the survival outcomes of BLCA patients. The prognostic signature was found to be strongly correlated to tumor-infiltrating immune cells and immune checkpoint expression. Conclusions We established a novel m6A-RLPS with a favorable prognostic value for patients with BLCA. We believe that this prognostic signature can provide new insights into the tumorigenesis of BLCA and predict the treatment response in patients with BLCA.Tianming MaXiaonan WangLingfeng MengXiaodong LiuJiawen WangWei ZhangZijian TianYaoguang ZhangBMCarticleBladder cancerN6-methyladenosineLong non-coding RNAPrognostic signatureImmune infiltrationNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBMC Cancer, Vol 21, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bladder cancer N6-methyladenosine Long non-coding RNA Prognostic signature Immune infiltration Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Bladder cancer N6-methyladenosine Long non-coding RNA Prognostic signature Immune infiltration Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Tianming Ma Xiaonan Wang Lingfeng Meng Xiaodong Liu Jiawen Wang Wei Zhang Zijian Tian Yaoguang Zhang An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
description	Abstract Background Bladder cancer (BLCA) typically has a poor prognosis due to high relapse and metastasis rates. A growing body of evidence indicates that N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) play crucial roles in the progression of BLCA and the treatment response of patients with BLCA. Therefore, we conducted a comprehensive RNA-seq analysis of BLCA using data from The Cancer Genome Atlas (TCGA) to establish an m6A-related lncRNA prognostic signature (m6A-RLPS) for BLCA. Methods Consensus clustering analysis was used to investigate clusters of BLCA patients with varying prognoses. The least absolute shrinkage and selection operator Cox regression were used to develop the m6A-RLPS. The ESTIMATE and CIBERSORT algorithms were used to evaluate the immune composition. Results A total of 745 m6A-related lncRNAs were identified using Pearson correlation analysis (\|R\| > 0.4, p < 0.001). Fifty-one prognostic m6A-related lncRNAs were screened using univariate Cox regression analysis. Through consensus clustering analysis, patients were divided into two clusters (clusters 1 and 2) with different overall survival rates and tumor stages based on the differential expression of the lncRNAs. Enrichment analysis demonstrated that terms related to tumor biological processes and immune-related activities were increased in patient cluster 2, which was more likely to exhibit low survival rates. Nine m6A-related prognostic lncRNAs were finally determined and subsequently used to construct the m6A-RLPS, which was verified to be an independent predictor of prognosis using univariate and multivariate Cox regression analyses. Further, a nomogram based on age, tumor stage, and the m6A-RLPS was generated and showed high accuracy and reliability with respect to predicting the survival outcomes of BLCA patients. The prognostic signature was found to be strongly correlated to tumor-infiltrating immune cells and immune checkpoint expression. Conclusions We established a novel m6A-RLPS with a favorable prognostic value for patients with BLCA. We believe that this prognostic signature can provide new insights into the tumorigenesis of BLCA and predict the treatment response in patients with BLCA.
format	article
author	Tianming Ma Xiaonan Wang Lingfeng Meng Xiaodong Liu Jiawen Wang Wei Zhang Zijian Tian Yaoguang Zhang
author_facet	Tianming Ma Xiaonan Wang Lingfeng Meng Xiaodong Liu Jiawen Wang Wei Zhang Zijian Tian Yaoguang Zhang
author_sort	Tianming Ma
title	An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
title_short	An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
title_full	An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
title_fullStr	An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
title_full_unstemmed	An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer
title_sort	effective n6-methyladenosine-related long non-coding rna prognostic signature for predicting the prognosis of patients with bladder cancer
publisher	BMC
publishDate	2021
url	https://doaj.org/article/61feb9d7b4c2441aae716dd3bd1066e3
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An effective N6-methyladenosine-related long non-coding RNA prognostic signature for predicting the prognosis of patients with bladder cancer

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