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The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma
BACKGROUND: The RNA-seq FPKM data of 331 colorectal adenocarcinoma samples in The Cancer Genome Atlas database with matching clinical data were analyzed in order to reveal the prognostic value of m6A RNA methylation regulators in colon adenocarcinoma. MATERIAL/METHODS: The expression of 13 m6A RNA m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926093/ https://www.ncbi.nlm.nih.gov/pubmed/31823961 http://dx.doi.org/10.12659/MSM.920381 |
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author | Liu, Tao Li, Chenyao Jin, Lipeng Li, Chao Wang, Lei |
author_facet | Liu, Tao Li, Chenyao Jin, Lipeng Li, Chao Wang, Lei |
author_sort | Liu, Tao |
collection | PubMed |
description | BACKGROUND: The RNA-seq FPKM data of 331 colorectal adenocarcinoma samples in The Cancer Genome Atlas database with matching clinical data were analyzed in order to reveal the prognostic value of m6A RNA methylation regulators in colon adenocarcinoma. MATERIAL/METHODS: The expression of 13 m6A RNA methylated regulators in samples were analyzed. The samples were classified into Cluster I and II by consistent clustering. The gene distribution was analyzed by principal component analysis. Further functional analysis of selected m6A RNA genes was performed and potential risk characteristics was developed using Lasso Cox regression algorithm. Using minimum criteria, the risk coefficients of YTHDF1 and HNRNPC were detected for Cluster II. Patients were divided into high-risk and low-risk subgroups based on the risk characteristics. The clinical data were analyzed by univariate and multivariate Cox regression analysis. RESULTS: Expression of the detected m6A RNA methylated regulators except YTHDC2 in tumors were significantly different from their adjacent mucosa. Among them, only ALKBH5 and METTL4 were downregulated in tumors. The gene distribution between the 2 subgroups were different. The expression of m6A RNA methylation regulators including YTHDF1, HNRNPC, YTHDC2, YTHDC1, ZC3H13, and RBM15 were different between the 2 groups (P<0.05). The prognostic characteristics between the high-risk and low-risk groups were significant different (P<0.05), which had a good predictive significance of prognosis area under the curve (AUC)=0.62). Risk scores were less than 0.05, suggesting risk score was an independent prognostic factor for colon adenocarcinoma. CONCLUSIONS: m6A RNA methylation regulators YTHDF1 and HNRNPC can be used as prognostic factors of colon cancer, which has potential value for colon cancer treatment. |
format | Online Article Text |
id | pubmed-6926093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69260932019-12-26 The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma Liu, Tao Li, Chenyao Jin, Lipeng Li, Chao Wang, Lei Med Sci Monit Lab/In Vitro Research BACKGROUND: The RNA-seq FPKM data of 331 colorectal adenocarcinoma samples in The Cancer Genome Atlas database with matching clinical data were analyzed in order to reveal the prognostic value of m6A RNA methylation regulators in colon adenocarcinoma. MATERIAL/METHODS: The expression of 13 m6A RNA methylated regulators in samples were analyzed. The samples were classified into Cluster I and II by consistent clustering. The gene distribution was analyzed by principal component analysis. Further functional analysis of selected m6A RNA genes was performed and potential risk characteristics was developed using Lasso Cox regression algorithm. Using minimum criteria, the risk coefficients of YTHDF1 and HNRNPC were detected for Cluster II. Patients were divided into high-risk and low-risk subgroups based on the risk characteristics. The clinical data were analyzed by univariate and multivariate Cox regression analysis. RESULTS: Expression of the detected m6A RNA methylated regulators except YTHDC2 in tumors were significantly different from their adjacent mucosa. Among them, only ALKBH5 and METTL4 were downregulated in tumors. The gene distribution between the 2 subgroups were different. The expression of m6A RNA methylation regulators including YTHDF1, HNRNPC, YTHDC2, YTHDC1, ZC3H13, and RBM15 were different between the 2 groups (P<0.05). The prognostic characteristics between the high-risk and low-risk groups were significant different (P<0.05), which had a good predictive significance of prognosis area under the curve (AUC)=0.62). Risk scores were less than 0.05, suggesting risk score was an independent prognostic factor for colon adenocarcinoma. CONCLUSIONS: m6A RNA methylation regulators YTHDF1 and HNRNPC can be used as prognostic factors of colon cancer, which has potential value for colon cancer treatment. International Scientific Literature, Inc. 2019-12-11 /pmc/articles/PMC6926093/ /pubmed/31823961 http://dx.doi.org/10.12659/MSM.920381 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Lab/In Vitro Research Liu, Tao Li, Chenyao Jin, Lipeng Li, Chao Wang, Lei The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title | The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title_full | The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title_fullStr | The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title_full_unstemmed | The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title_short | The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma |
title_sort | prognostic value of m6a rna methylation regulators in colon adenocarcinoma |
topic | Lab/In Vitro Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926093/ https://www.ncbi.nlm.nih.gov/pubmed/31823961 http://dx.doi.org/10.12659/MSM.920381 |
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