Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer

Background. Colorectal cancer (CRC) is the third most common tumor worldwide. Aberrant N6-methyladenosine (m6A) modification can influence the progress of the CRC. Additionally, long noncoding RNA (lncRNA) plays a critical role in CRC and has a close relationship with m6A modification. However, the...

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Autores principales:	Zhan Zhao, Ya-bing Yang, Xin-yuan Li, Xu-Guang Li, Xiao-dong Chu, Zheng-bin Lin, Yi-ran Zhang, Yan-guan Guo, Hui Ding, Yun-long Pan, Liang Wang, Jing-hua Pan
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/9544ac3a6e8b402daca3f56ff3980d22
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spelling	oai:doaj.org-article:9544ac3a6e8b402daca3f56ff3980d222021-11-08T02:35:53ZComprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer1875-863010.1155/2021/8686307https://doaj.org/article/9544ac3a6e8b402daca3f56ff3980d222021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8686307https://doaj.org/toc/1875-8630Background. Colorectal cancer (CRC) is the third most common tumor worldwide. Aberrant N6-methyladenosine (m6A) modification can influence the progress of the CRC. Additionally, long noncoding RNA (lncRNA) plays a critical role in CRC and has a close relationship with m6A modification. However, the prognostic potential of m6A-related lncRNAs in CRC patients still remains to be clarified. Methods. We use “limma” R package, “glmnet” R package, and “survival” R package to screen m6A-related-lncRNAs with prognostic potential. Then, we comprehensively analysed and integrated the related lncRNAs in different TNM stages from TCGA database using the LASSO Cox regression. Meanwhile, the relationship between functional enrichment of m6A-related lncRNAs and immune microenvironment in CRC was also investigated using the TCGA database. A prognostic model was constructed and validated to determine the association between m6A-related lncRNAs in different TNM stages and the prognosis of CRC. Result. We demonstrated that three related m6A lncRNAs in different TNM stages were associated with the prognosis of CRC patients. Patients from the TCGA database were classified into the low-risk and the high-risk groups based on the expression of these lncRNAs. The patients in the low-risk group had longer overall survival than the patients in the high-risk group (P<0.001). We further constructed and validated a prognostic nomogram based on these genes with a C-index of 0.80. The receiver operating characteristic curves confirmed the predictive capacity of the model. Meanwhile, we also found that the low-risk group has the correlation with the dendritic cell (DC). Finally, we discovered the relationship between the m6A regulators and the three lncRNAs. Conclusion. The prognostic model based on three m6A-related lncRNAs exhibits superior predictive performance, providing a novel prognostic model for the clinical evaluation of CRC patients.Zhan ZhaoYa-bing YangXin-yuan LiXu-Guang LiXiao-dong ChuZheng-bin LinYi-ran ZhangYan-guan GuoHui DingYun-long PanLiang WangJing-hua PanHindawi LimitedarticleMedicine (General)R5-920ENDisease Markers, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Zhan Zhao Ya-bing Yang Xin-yuan Li Xu-Guang Li Xiao-dong Chu Zheng-bin Lin Yi-ran Zhang Yan-guan Guo Hui Ding Yun-long Pan Liang Wang Jing-hua Pan Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
description	Background. Colorectal cancer (CRC) is the third most common tumor worldwide. Aberrant N6-methyladenosine (m6A) modification can influence the progress of the CRC. Additionally, long noncoding RNA (lncRNA) plays a critical role in CRC and has a close relationship with m6A modification. However, the prognostic potential of m6A-related lncRNAs in CRC patients still remains to be clarified. Methods. We use “limma” R package, “glmnet” R package, and “survival” R package to screen m6A-related-lncRNAs with prognostic potential. Then, we comprehensively analysed and integrated the related lncRNAs in different TNM stages from TCGA database using the LASSO Cox regression. Meanwhile, the relationship between functional enrichment of m6A-related lncRNAs and immune microenvironment in CRC was also investigated using the TCGA database. A prognostic model was constructed and validated to determine the association between m6A-related lncRNAs in different TNM stages and the prognosis of CRC. Result. We demonstrated that three related m6A lncRNAs in different TNM stages were associated with the prognosis of CRC patients. Patients from the TCGA database were classified into the low-risk and the high-risk groups based on the expression of these lncRNAs. The patients in the low-risk group had longer overall survival than the patients in the high-risk group (P<0.001). We further constructed and validated a prognostic nomogram based on these genes with a C-index of 0.80. The receiver operating characteristic curves confirmed the predictive capacity of the model. Meanwhile, we also found that the low-risk group has the correlation with the dendritic cell (DC). Finally, we discovered the relationship between the m6A regulators and the three lncRNAs. Conclusion. The prognostic model based on three m6A-related lncRNAs exhibits superior predictive performance, providing a novel prognostic model for the clinical evaluation of CRC patients.
format	article
author	Zhan Zhao Ya-bing Yang Xin-yuan Li Xu-Guang Li Xiao-dong Chu Zheng-bin Lin Yi-ran Zhang Yan-guan Guo Hui Ding Yun-long Pan Liang Wang Jing-hua Pan
author_facet	Zhan Zhao Ya-bing Yang Xin-yuan Li Xu-Guang Li Xiao-dong Chu Zheng-bin Lin Yi-ran Zhang Yan-guan Guo Hui Ding Yun-long Pan Liang Wang Jing-hua Pan
author_sort	Zhan Zhao
title	Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
title_short	Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
title_full	Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
title_fullStr	Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
title_full_unstemmed	Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer
title_sort	comprehensive analysis of n6-methyladenosine-related lncrna signature for predicting prognosis and immune cell infiltration in patients with colorectal cancer
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/9544ac3a6e8b402daca3f56ff3980d22
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Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer

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