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Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer

BACKGROUND: RNA modification is a regulation at the post-transcriptional level. RNA methylation modification accounts for more than 60% of all RNA modifications, and m[superscript 6]A(6-methyladenine) is the most common type of RNA methylation modification on mRNA of higher organisms. The modificati...

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Autores principales: Zhou, Ben-zheng, Luo, Qin, Zhang, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439049/
https://www.ncbi.nlm.nih.gov/pubmed/34521394
http://dx.doi.org/10.1186/s12894-021-00880-x
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author Zhou, Ben-zheng
Luo, Qin
Zhang, Ye
author_facet Zhou, Ben-zheng
Luo, Qin
Zhang, Ye
author_sort Zhou, Ben-zheng
collection PubMed
description BACKGROUND: RNA modification is a regulation at the post-transcriptional level. RNA methylation modification accounts for more than 60% of all RNA modifications, and m[superscript 6]A(6-methyladenine) is the most common type of RNA methylation modification on mRNA of higher organisms. The modification level of transcription m[superscript 6]A is dynamically regulated by methyltransferase (reader), binding protein (writer) and demethylase (eraser). Furthermore, m[superscript 6]A methylation has been found to have an impact on tumor initiation and progression through various mechanisms. METHODS: 13 genes related m[superscript 6]A from all the gene expressions in The Cancer Genome Atlas (TCGA) were screened. Gene Ontology (GO) and KEGG analysis were applied to explore the functions of genes identified in study. We clustered the related regulators of m[superscript 6]A into three subgroups with “ConsensusClusterPlus”. 13 genes were used for univariate Cox analysis to find genes associated with prognosis, and the risk model was constructed based on lasso regression. According to the median risk score of each patient, the patients were divided into high and low risk groups for survival analysis. The ROC curve evaluates the model. Then the risk group and clinical characteristics were analyzed. RESULTS: The three subgroups had different clinical characteristics. Our tumor clusters were related to grade, survival status. Moreover, we observed a significantly longer overall survival (OS) in the cluster 1 than the cluster 2 and cluster 3. Three m[superscript 6]A-related genes related to prognosis were used to construct a prognostic risk model. We found age are independent prognostic marker. What’s more, risk score can also be an independent prognostic factor. CONCLUSION: Revealing the regulation and functional mechanism of cross-talk among m[superscript 6]A writers, erasers, and readers, and determine its role in bladder cancer may help in developing novel and efficient strategies for the diagnosis, prognosis and treatment of bladder cancer.
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spelling pubmed-84390492021-09-14 Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer Zhou, Ben-zheng Luo, Qin Zhang, Ye BMC Urol Research Article BACKGROUND: RNA modification is a regulation at the post-transcriptional level. RNA methylation modification accounts for more than 60% of all RNA modifications, and m[superscript 6]A(6-methyladenine) is the most common type of RNA methylation modification on mRNA of higher organisms. The modification level of transcription m[superscript 6]A is dynamically regulated by methyltransferase (reader), binding protein (writer) and demethylase (eraser). Furthermore, m[superscript 6]A methylation has been found to have an impact on tumor initiation and progression through various mechanisms. METHODS: 13 genes related m[superscript 6]A from all the gene expressions in The Cancer Genome Atlas (TCGA) were screened. Gene Ontology (GO) and KEGG analysis were applied to explore the functions of genes identified in study. We clustered the related regulators of m[superscript 6]A into three subgroups with “ConsensusClusterPlus”. 13 genes were used for univariate Cox analysis to find genes associated with prognosis, and the risk model was constructed based on lasso regression. According to the median risk score of each patient, the patients were divided into high and low risk groups for survival analysis. The ROC curve evaluates the model. Then the risk group and clinical characteristics were analyzed. RESULTS: The three subgroups had different clinical characteristics. Our tumor clusters were related to grade, survival status. Moreover, we observed a significantly longer overall survival (OS) in the cluster 1 than the cluster 2 and cluster 3. Three m[superscript 6]A-related genes related to prognosis were used to construct a prognostic risk model. We found age are independent prognostic marker. What’s more, risk score can also be an independent prognostic factor. CONCLUSION: Revealing the regulation and functional mechanism of cross-talk among m[superscript 6]A writers, erasers, and readers, and determine its role in bladder cancer may help in developing novel and efficient strategies for the diagnosis, prognosis and treatment of bladder cancer. BioMed Central 2021-09-14 /pmc/articles/PMC8439049/ /pubmed/34521394 http://dx.doi.org/10.1186/s12894-021-00880-x 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 Article
Zhou, Ben-zheng
Luo, Qin
Zhang, Ye
Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title_full Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title_fullStr Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title_full_unstemmed Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title_short Cross-talk and clinical value of m[superscript 6]A regulatory gene in bladder cancer
title_sort cross-talk and clinical value of m[superscript 6]a regulatory gene in bladder cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439049/
https://www.ncbi.nlm.nih.gov/pubmed/34521394
http://dx.doi.org/10.1186/s12894-021-00880-x
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