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Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer
PURPOSE: N6-methyladenosine (m6A) is reported to play a critical role in cancer through various mechanisms. We aimed to construct and validate an m6A RNA methylation regulators-based prognostic signature for Esophageal cancer (ESCA). MATERIALS AND METHODS: The RNA sequencing transcriptome data of 13...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352013/ https://www.ncbi.nlm.nih.gov/pubmed/32753956 http://dx.doi.org/10.2147/CMAR.S254870 |
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author | Xu, Li-chao Pan, Jing-xin Pan, Hong-da |
author_facet | Xu, Li-chao Pan, Jing-xin Pan, Hong-da |
author_sort | Xu, Li-chao |
collection | PubMed |
description | PURPOSE: N6-methyladenosine (m6A) is reported to play a critical role in cancer through various mechanisms. We aimed to construct and validate an m6A RNA methylation regulators-based prognostic signature for Esophageal cancer (ESCA). MATERIALS AND METHODS: The RNA sequencing transcriptome data of 13 m6A RNA methylation regulators as well as clinical data were obtained from The Cancer Genome Atlas (TCGA) ESCA database. The differential expression of the regulators between ESCA tissues and normal tissues was assessed. Consensus clustering was conducted to explore the different ESCA clusters based on the expression of these regulators. LASSO Cox regression analysis was used to generate a prognostic signature based on m6A RNA methylation regulators expression. RESULTS: Eight regulators (KIAA1429, HNRNPC, RBM15, METTL3, WTAP, YTHDF1, YTHDC1, and YTHDF2) were found to be significantly upregulated in ESCA tissues. Significant differences of survival rate and clinicopathological features were found between the two clusters. A prognostic signature, which consists of HNRNPC and ALKBH5, was constructed based on the TCGA ESCA cohort, which can serve as an independent prognostic predictor. The results of bioinformatics analysis were further successfully validated in the clinical ESCA cohort by qRT-PCR and immunohistochemistry staining. CONCLUSION: Our study constructed and validated an m6A RNA methylation regulators-based prognostic signature. This might provide important information for developing diagnostic and therapeutic strategies. |
format | Online Article Text |
id | pubmed-7352013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-73520132020-08-03 Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer Xu, Li-chao Pan, Jing-xin Pan, Hong-da Cancer Manag Res Original Research PURPOSE: N6-methyladenosine (m6A) is reported to play a critical role in cancer through various mechanisms. We aimed to construct and validate an m6A RNA methylation regulators-based prognostic signature for Esophageal cancer (ESCA). MATERIALS AND METHODS: The RNA sequencing transcriptome data of 13 m6A RNA methylation regulators as well as clinical data were obtained from The Cancer Genome Atlas (TCGA) ESCA database. The differential expression of the regulators between ESCA tissues and normal tissues was assessed. Consensus clustering was conducted to explore the different ESCA clusters based on the expression of these regulators. LASSO Cox regression analysis was used to generate a prognostic signature based on m6A RNA methylation regulators expression. RESULTS: Eight regulators (KIAA1429, HNRNPC, RBM15, METTL3, WTAP, YTHDF1, YTHDC1, and YTHDF2) were found to be significantly upregulated in ESCA tissues. Significant differences of survival rate and clinicopathological features were found between the two clusters. A prognostic signature, which consists of HNRNPC and ALKBH5, was constructed based on the TCGA ESCA cohort, which can serve as an independent prognostic predictor. The results of bioinformatics analysis were further successfully validated in the clinical ESCA cohort by qRT-PCR and immunohistochemistry staining. CONCLUSION: Our study constructed and validated an m6A RNA methylation regulators-based prognostic signature. This might provide important information for developing diagnostic and therapeutic strategies. Dove 2020-07-06 /pmc/articles/PMC7352013/ /pubmed/32753956 http://dx.doi.org/10.2147/CMAR.S254870 Text en © 2020 Xu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Xu, Li-chao Pan, Jing-xin Pan, Hong-da Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title | Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title_full | Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title_fullStr | Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title_full_unstemmed | Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title_short | Construction and Validation of an m6A RNA Methylation Regulators-Based Prognostic Signature for Esophageal Cancer |
title_sort | construction and validation of an m6a rna methylation regulators-based prognostic signature for esophageal cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352013/ https://www.ncbi.nlm.nih.gov/pubmed/32753956 http://dx.doi.org/10.2147/CMAR.S254870 |
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