Cargando…

Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network

Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with different prognoses. Researches on prognostic biomarkers and therapy targets of CN-AML are still ongoing. Instead of protein-coding genes, more and more researches were focused on the non-coding RNAs especially lo...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Tao, Dong, Lin, Guo, Yan, Zhao, Hai, Wang, Manzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942983/
https://www.ncbi.nlm.nih.gov/pubmed/35322118
http://dx.doi.org/10.1038/s41598-022-08930-6
_version_ 1784673420674334720
author Sun, Tao
Dong, Lin
Guo, Yan
Zhao, Hai
Wang, Manzhi
author_facet Sun, Tao
Dong, Lin
Guo, Yan
Zhao, Hai
Wang, Manzhi
author_sort Sun, Tao
collection PubMed
description Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with different prognoses. Researches on prognostic biomarkers and therapy targets of CN-AML are still ongoing. Instead of protein-coding genes, more and more researches were focused on the non-coding RNAs especially long non-coding RNAs (lncRNAs) which may play an important role in the development of AML. Although a large number of lncRNAs have been found, our knowledge of their functions and pathological process is still in its infancy. The purpose of this research is to identify the key lncRNAs and explore their functions in CN-AML by reconstructing the lncRNA–miRNA–mRNA network based on the competitive endogenous RNA (ceRNA) theory. We reconstructed a global triple network based on the ceRNA theory using the data from National Center for Biotechnology Information Gene Expression Omnibus and published literature. According to the topological algorithm, we identified the key lncRNAs which had both the higher node degrees and the higher numbers of lncRNA–miRNA pairs and total pairs in the ceRNA network. Meanwhile, Gene Ontology (GO) and pathway analysis were performed using databases such as DAVID, KOBAS and Cytoscape plug-in ClueGO respectively. The lncRNA–miRNA–mRNA network was composed of 90 lncRNAs,33mRNAs,26 miRNAs and 259 edges in the lncRNA upregulated group, and 18 lncRNAs,11 mRNAs,6 miRNAs and 45 edges in the lncRNA downregulated group. The functional assay showed that 53 pathways and 108 GO terms were enriched. Three lncRNAs (XIST, TUG1, GABPB1-AS1) could possibly be selected as key lncRNAs which may play an important role in the development of CN-AML. Particularly, GABPB1-AS1 was highly expressed in CN-AML by both bioinformatic analysis and experimental verification in AML cell line (THP-1) with quantitative real‐time polymerase chain reaction. In addition, GABPB1-AS1 was also negatively correlated with overall survival of AML patients. The lncRNA–miRNA–mRNA network revealed key lncRNAs and their functions in CN-AML. Particularly, lncRNA GABPB1-AS1 was firstly proposed in AML. We believe that GABPB1-AS1 is expected to become a candidate prognostic biomarker or a potential therapeutic target.
format Online
Article
Text
id pubmed-8942983
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-89429832022-03-28 Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network Sun, Tao Dong, Lin Guo, Yan Zhao, Hai Wang, Manzhi Sci Rep Article Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with different prognoses. Researches on prognostic biomarkers and therapy targets of CN-AML are still ongoing. Instead of protein-coding genes, more and more researches were focused on the non-coding RNAs especially long non-coding RNAs (lncRNAs) which may play an important role in the development of AML. Although a large number of lncRNAs have been found, our knowledge of their functions and pathological process is still in its infancy. The purpose of this research is to identify the key lncRNAs and explore their functions in CN-AML by reconstructing the lncRNA–miRNA–mRNA network based on the competitive endogenous RNA (ceRNA) theory. We reconstructed a global triple network based on the ceRNA theory using the data from National Center for Biotechnology Information Gene Expression Omnibus and published literature. According to the topological algorithm, we identified the key lncRNAs which had both the higher node degrees and the higher numbers of lncRNA–miRNA pairs and total pairs in the ceRNA network. Meanwhile, Gene Ontology (GO) and pathway analysis were performed using databases such as DAVID, KOBAS and Cytoscape plug-in ClueGO respectively. The lncRNA–miRNA–mRNA network was composed of 90 lncRNAs,33mRNAs,26 miRNAs and 259 edges in the lncRNA upregulated group, and 18 lncRNAs,11 mRNAs,6 miRNAs and 45 edges in the lncRNA downregulated group. The functional assay showed that 53 pathways and 108 GO terms were enriched. Three lncRNAs (XIST, TUG1, GABPB1-AS1) could possibly be selected as key lncRNAs which may play an important role in the development of CN-AML. Particularly, GABPB1-AS1 was highly expressed in CN-AML by both bioinformatic analysis and experimental verification in AML cell line (THP-1) with quantitative real‐time polymerase chain reaction. In addition, GABPB1-AS1 was also negatively correlated with overall survival of AML patients. The lncRNA–miRNA–mRNA network revealed key lncRNAs and their functions in CN-AML. Particularly, lncRNA GABPB1-AS1 was firstly proposed in AML. We believe that GABPB1-AS1 is expected to become a candidate prognostic biomarker or a potential therapeutic target. Nature Publishing Group UK 2022-03-23 /pmc/articles/PMC8942983/ /pubmed/35322118 http://dx.doi.org/10.1038/s41598-022-08930-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sun, Tao
Dong, Lin
Guo, Yan
Zhao, Hai
Wang, Manzhi
Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title_full Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title_fullStr Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title_full_unstemmed Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title_short Revealing key lncRNAs in cytogenetically normal acute myeloid leukemia by reconstruction of the lncRNA–miRNA–mRNA network
title_sort revealing key lncrnas in cytogenetically normal acute myeloid leukemia by reconstruction of the lncrna–mirna–mrna network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942983/
https://www.ncbi.nlm.nih.gov/pubmed/35322118
http://dx.doi.org/10.1038/s41598-022-08930-6
work_keys_str_mv AT suntao revealingkeylncrnasincytogeneticallynormalacutemyeloidleukemiabyreconstructionofthelncrnamirnamrnanetwork
AT donglin revealingkeylncrnasincytogeneticallynormalacutemyeloidleukemiabyreconstructionofthelncrnamirnamrnanetwork
AT guoyan revealingkeylncrnasincytogeneticallynormalacutemyeloidleukemiabyreconstructionofthelncrnamirnamrnanetwork
AT zhaohai revealingkeylncrnasincytogeneticallynormalacutemyeloidleukemiabyreconstructionofthelncrnamirnamrnanetwork
AT wangmanzhi revealingkeylncrnasincytogeneticallynormalacutemyeloidleukemiabyreconstructionofthelncrnamirnamrnanetwork