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Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration
N6-Methyladenosine-related long noncoding RNAs play an essential role in many cancers’ development. However, the relationship between m6A-related lncRNAs and acute myelogenous leukemia (AML) prognosis remains unclear. We systematically analyzed the association of m6A-related lncRNAs with the prognos...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115802/ https://www.ncbi.nlm.nih.gov/pubmed/35601490 http://dx.doi.org/10.3389/fgene.2022.888173 |
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author | Zheng, Guowei Liu, Mengying Chang, Xinyu Cao, Xiting Dong, Ani Zhu, Huili Hu, Wanli Xie, Junna Zhao, Yang Hu, Dongsheng Jia, Xiaocan Yang, Yongli Shi, Xuezhong Lu, Jie |
author_facet | Zheng, Guowei Liu, Mengying Chang, Xinyu Cao, Xiting Dong, Ani Zhu, Huili Hu, Wanli Xie, Junna Zhao, Yang Hu, Dongsheng Jia, Xiaocan Yang, Yongli Shi, Xuezhong Lu, Jie |
author_sort | Zheng, Guowei |
collection | PubMed |
description | N6-Methyladenosine-related long noncoding RNAs play an essential role in many cancers’ development. However, the relationship between m6A-related lncRNAs and acute myelogenous leukemia (AML) prognosis remains unclear. We systematically analyzed the association of m6A-related lncRNAs with the prognosis and tumor immune microenvironment (TME) features using the therapeutically applicable research to generate effective treatment (TARGET) database. We screened 315 lncRNAs associated with AML prognosis and identified nine key lncRNAs associated with m6A by the LASSO Cox analysis. A model was established based on these nine lncRNAs and the predictive power was explored in The Cancer Genome Atlas (TCGA) database. The areas under the ROC curve of TARGET and TCGA databases for ROC at 1, 3, and 5 years are 0.701, 0.704, and 0.696, and 0.587, 0.639, and 0.685, respectively. The nomogram and decision curve analysis (DCA) showed that the risk score was more accurate than other clinical indicators in evaluating patients’ prognoses. The clusters with a better prognosis enrich the AML pathways and immune-related pathways. We also found a close correlation between prognostic m6A-related lncRNAs and tumor immune cell infiltration. LAG3 expression at the immune checkpoint was lower in the worse prognostic cluster. In conclusion, m6A-related lncRNAs partly affected AML prognosis by remodeling the TME and affecting the anticarcinogenic ability of immune checkpoints, especially LAG3 inhibitors. The prognostic model constructed with nine key m6A-related lncRNAs can provide a method to assess the prognosis of AML patients in both adults and children. |
format | Online Article Text |
id | pubmed-9115802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91158022022-05-19 Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration Zheng, Guowei Liu, Mengying Chang, Xinyu Cao, Xiting Dong, Ani Zhu, Huili Hu, Wanli Xie, Junna Zhao, Yang Hu, Dongsheng Jia, Xiaocan Yang, Yongli Shi, Xuezhong Lu, Jie Front Genet Genetics N6-Methyladenosine-related long noncoding RNAs play an essential role in many cancers’ development. However, the relationship between m6A-related lncRNAs and acute myelogenous leukemia (AML) prognosis remains unclear. We systematically analyzed the association of m6A-related lncRNAs with the prognosis and tumor immune microenvironment (TME) features using the therapeutically applicable research to generate effective treatment (TARGET) database. We screened 315 lncRNAs associated with AML prognosis and identified nine key lncRNAs associated with m6A by the LASSO Cox analysis. A model was established based on these nine lncRNAs and the predictive power was explored in The Cancer Genome Atlas (TCGA) database. The areas under the ROC curve of TARGET and TCGA databases for ROC at 1, 3, and 5 years are 0.701, 0.704, and 0.696, and 0.587, 0.639, and 0.685, respectively. The nomogram and decision curve analysis (DCA) showed that the risk score was more accurate than other clinical indicators in evaluating patients’ prognoses. The clusters with a better prognosis enrich the AML pathways and immune-related pathways. We also found a close correlation between prognostic m6A-related lncRNAs and tumor immune cell infiltration. LAG3 expression at the immune checkpoint was lower in the worse prognostic cluster. In conclusion, m6A-related lncRNAs partly affected AML prognosis by remodeling the TME and affecting the anticarcinogenic ability of immune checkpoints, especially LAG3 inhibitors. The prognostic model constructed with nine key m6A-related lncRNAs can provide a method to assess the prognosis of AML patients in both adults and children. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9115802/ /pubmed/35601490 http://dx.doi.org/10.3389/fgene.2022.888173 Text en Copyright © 2022 Zheng, Liu, Chang, Cao, Dong, Zhu, Hu, Xie, Zhao, Hu, Jia, Yang, Shi and Lu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zheng, Guowei Liu, Mengying Chang, Xinyu Cao, Xiting Dong, Ani Zhu, Huili Hu, Wanli Xie, Junna Zhao, Yang Hu, Dongsheng Jia, Xiaocan Yang, Yongli Shi, Xuezhong Lu, Jie Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title | Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title_full | Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title_fullStr | Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title_full_unstemmed | Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title_short | Comprehensive Analysis of N6-Methyladenosine-Related Long Noncoding RNA Prognosis of Acute Myeloid Leukemia and Immune Cell Infiltration |
title_sort | comprehensive analysis of n6-methyladenosine-related long noncoding rna prognosis of acute myeloid leukemia and immune cell infiltration |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115802/ https://www.ncbi.nlm.nih.gov/pubmed/35601490 http://dx.doi.org/10.3389/fgene.2022.888173 |
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