Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia

Background: Acute myeloid leukemia (AML) remains the most common type of hematopoietic malignancy in adults and has an unfavorable outcome. Herein, we aimed to construct an N6-methylandenosine (m6A)-related long noncoding RNAs (lncRNAs) signature to accurately predict the prognosis of patients with...

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Autores principales:	Ding Li, Jiaming Liang, Cheng Cheng, Wenbin Guo, Shuolei Li, Wenping Song, Zhenguo Song, Yongtao Bai, Yongna Zhang, Xuan Wu, Wenzhou Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	M6A long noncoding RNA prognostic signature immunotherapy response acute myeloid leukemia Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b4680e319ef0403ebee2cc08c02b820f
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spelling	oai:doaj.org-article:b4680e319ef0403ebee2cc08c02b820f2021-11-16T07:47:25ZIdentification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia2296-634X10.3389/fcell.2021.770451https://doaj.org/article/b4680e319ef0403ebee2cc08c02b820f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.770451/fullhttps://doaj.org/toc/2296-634XBackground: Acute myeloid leukemia (AML) remains the most common type of hematopoietic malignancy in adults and has an unfavorable outcome. Herein, we aimed to construct an N6-methylandenosine (m6A)-related long noncoding RNAs (lncRNAs) signature to accurately predict the prognosis of patients with AML using the data downloaded from The Cancer Genome Atlas (TCGA) database.Methods: The RNA-seq and clinical data were obtained from the TCGA AML cohort. First, Pearson correlation analysis was performed to identify the m6A-related lncRNAs. Next, univariate Cox regression analysis was used to determine the candidate lncRNAs with prognostic value. Then, feature selection was carried out by Least absolute shrinkage and selection operator (LASSO) analysis, and seven eligible m6A-related lncRNAs were included to construct the prognostic risk signature. Kaplan–Meier and receiver operating characteristic (ROC) curve analyses were performed to evaluate the predictive capacity of the risk signature both in the training and testing datasets. A nomogram was used to predict 1-year, 2-year, and 3-year overall survival (OS) of AML patients. Next, the expression levels of lncRNAs in the signature were validated in AML samples by qRT-PCR. Functional enrichment analyses were carried out to identify probable biological processes and cellular pathways. The ceRNA network was developed to explore the downstream targets and mechanisms of m6A-related lncRNAs in AML.Results: Seven m6A-related lncRNAs were identified as a prognostic signature. The low-risk group hold significantly prolonged OS. The nomogram showed excellent accuracy of the signature for predicting 1-year, 2-year and 3-year OS (AUC = 0.769, 0.820, and 0.800, respectively). Moreover, the risk scores were significantly correlated with enrichment in cancer hallmark- and malignancy-related pathways and immunotherapy response in AML patients.Conclusion: We developed and validated a novel risk signature with m6A-related lncRNAs which could predict prognosis accurately and reflect the immunotherapy response in AML patients.Ding LiJiaming LiangCheng ChengWenbin GuoShuolei LiWenping SongZhenguo SongYongtao BaiYongna ZhangXuan WuWenzhou ZhangFrontiers Media S.A.articleM6Along noncoding RNAprognostic signatureimmunotherapy responseacute myeloid leukemiaBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	M6A long noncoding RNA prognostic signature immunotherapy response acute myeloid leukemia Biology (General) QH301-705.5
spellingShingle	M6A long noncoding RNA prognostic signature immunotherapy response acute myeloid leukemia Biology (General) QH301-705.5 Ding Li Jiaming Liang Cheng Cheng Wenbin Guo Shuolei Li Wenping Song Zhenguo Song Yongtao Bai Yongna Zhang Xuan Wu Wenzhou Zhang Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
description	Background: Acute myeloid leukemia (AML) remains the most common type of hematopoietic malignancy in adults and has an unfavorable outcome. Herein, we aimed to construct an N6-methylandenosine (m6A)-related long noncoding RNAs (lncRNAs) signature to accurately predict the prognosis of patients with AML using the data downloaded from The Cancer Genome Atlas (TCGA) database.Methods: The RNA-seq and clinical data were obtained from the TCGA AML cohort. First, Pearson correlation analysis was performed to identify the m6A-related lncRNAs. Next, univariate Cox regression analysis was used to determine the candidate lncRNAs with prognostic value. Then, feature selection was carried out by Least absolute shrinkage and selection operator (LASSO) analysis, and seven eligible m6A-related lncRNAs were included to construct the prognostic risk signature. Kaplan–Meier and receiver operating characteristic (ROC) curve analyses were performed to evaluate the predictive capacity of the risk signature both in the training and testing datasets. A nomogram was used to predict 1-year, 2-year, and 3-year overall survival (OS) of AML patients. Next, the expression levels of lncRNAs in the signature were validated in AML samples by qRT-PCR. Functional enrichment analyses were carried out to identify probable biological processes and cellular pathways. The ceRNA network was developed to explore the downstream targets and mechanisms of m6A-related lncRNAs in AML.Results: Seven m6A-related lncRNAs were identified as a prognostic signature. The low-risk group hold significantly prolonged OS. The nomogram showed excellent accuracy of the signature for predicting 1-year, 2-year and 3-year OS (AUC = 0.769, 0.820, and 0.800, respectively). Moreover, the risk scores were significantly correlated with enrichment in cancer hallmark- and malignancy-related pathways and immunotherapy response in AML patients.Conclusion: We developed and validated a novel risk signature with m6A-related lncRNAs which could predict prognosis accurately and reflect the immunotherapy response in AML patients.
format	article
author	Ding Li Jiaming Liang Cheng Cheng Wenbin Guo Shuolei Li Wenping Song Zhenguo Song Yongtao Bai Yongna Zhang Xuan Wu Wenzhou Zhang
author_facet	Ding Li Jiaming Liang Cheng Cheng Wenbin Guo Shuolei Li Wenping Song Zhenguo Song Yongtao Bai Yongna Zhang Xuan Wu Wenzhou Zhang
author_sort	Ding Li
title	Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
title_short	Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
title_full	Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
title_fullStr	Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
title_full_unstemmed	Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia
title_sort	identification of m6a-related lncrnas associated with prognoses and immune responses in acute myeloid leukemia
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/b4680e319ef0403ebee2cc08c02b820f
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Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia

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