Cargando…

Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis

Chronic lymphocytic leukemia (CLL) is a malignant clonal proliferative disorder of B cells. Inhibition of cell apoptosis and cell cycle arrest are the main pathological causes of this disease, but its molecular mechanism requires further investigation. The purpose of the present study was to identif...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Chundi, Zhou, Chao, Zhuang, Jing, Liu, Lijuan, Wei, Junyu, Liu, Cun, Li, Huayao, Sun, Changgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297738/
https://www.ncbi.nlm.nih.gov/pubmed/30431072
http://dx.doi.org/10.3892/mmr.2018.9636
_version_ 1783381194329554944
author Gao, Chundi
Zhou, Chao
Zhuang, Jing
Liu, Lijuan
Wei, Junyu
Liu, Cun
Li, Huayao
Sun, Changgang
author_facet Gao, Chundi
Zhou, Chao
Zhuang, Jing
Liu, Lijuan
Wei, Junyu
Liu, Cun
Li, Huayao
Sun, Changgang
author_sort Gao, Chundi
collection PubMed
description Chronic lymphocytic leukemia (CLL) is a malignant clonal proliferative disorder of B cells. Inhibition of cell apoptosis and cell cycle arrest are the main pathological causes of this disease, but its molecular mechanism requires further investigation. The purpose of the present study was to identify biomarkers for the early diagnosis and treatment of CLL, and to explore the molecular mechanisms of CLL progression. A total of 488 differentially expressed genes (DEGs) and 32 differentially expressed microRNAs (miRNAs; DEMs) for CLL were identified by analyzing the gene chips GSE22529, GSE39411 and GSE62137. Functional and pathway enrichment analyses of DEGs demonstrated that DEGs were mainly involved in transcriptional dysregulation and multiple signaling pathways, such as the nuclear factor-κB and mitogen-activated protein kinase signaling pathways. In addition, Cytoscape software was used to visualize the protein-protein interactions of these DEGs in order to identify hub genes, which could be used as biomarkers for the early diagnosis and treatment of CLL. Cytoscape software was also used to analyze the association between the predicted target mRNAs of DEMs and DEGs and increase knowledge about the miRNA-mRNA regulatory network associated with the progression of CLL. Taken together, the present study provided a bioinformatics basis for advancing our understanding of the pathogenesis of CLL by identifying differentially expressed hub genes, miRNA-mRNA target pairs and molecular pathways. In addition, hub genes may be used as novel biomarkers for the diagnosis of CLL and to guide the selection of CLL drug combinations.
format Online
Article
Text
id pubmed-6297738
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-62977382018-12-26 Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis Gao, Chundi Zhou, Chao Zhuang, Jing Liu, Lijuan Wei, Junyu Liu, Cun Li, Huayao Sun, Changgang Mol Med Rep Articles Chronic lymphocytic leukemia (CLL) is a malignant clonal proliferative disorder of B cells. Inhibition of cell apoptosis and cell cycle arrest are the main pathological causes of this disease, but its molecular mechanism requires further investigation. The purpose of the present study was to identify biomarkers for the early diagnosis and treatment of CLL, and to explore the molecular mechanisms of CLL progression. A total of 488 differentially expressed genes (DEGs) and 32 differentially expressed microRNAs (miRNAs; DEMs) for CLL were identified by analyzing the gene chips GSE22529, GSE39411 and GSE62137. Functional and pathway enrichment analyses of DEGs demonstrated that DEGs were mainly involved in transcriptional dysregulation and multiple signaling pathways, such as the nuclear factor-κB and mitogen-activated protein kinase signaling pathways. In addition, Cytoscape software was used to visualize the protein-protein interactions of these DEGs in order to identify hub genes, which could be used as biomarkers for the early diagnosis and treatment of CLL. Cytoscape software was also used to analyze the association between the predicted target mRNAs of DEMs and DEGs and increase knowledge about the miRNA-mRNA regulatory network associated with the progression of CLL. Taken together, the present study provided a bioinformatics basis for advancing our understanding of the pathogenesis of CLL by identifying differentially expressed hub genes, miRNA-mRNA target pairs and molecular pathways. In addition, hub genes may be used as novel biomarkers for the diagnosis of CLL and to guide the selection of CLL drug combinations. D.A. Spandidos 2019-01 2018-11-09 /pmc/articles/PMC6297738/ /pubmed/30431072 http://dx.doi.org/10.3892/mmr.2018.9636 Text en Copyright: © Gao et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Gao, Chundi
Zhou, Chao
Zhuang, Jing
Liu, Lijuan
Wei, Junyu
Liu, Cun
Li, Huayao
Sun, Changgang
Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title_full Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title_fullStr Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title_full_unstemmed Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title_short Identification of key candidate genes and miRNA-mRNA target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
title_sort identification of key candidate genes and mirna-mrna target pairs in chronic lymphocytic leukemia by integrated bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297738/
https://www.ncbi.nlm.nih.gov/pubmed/30431072
http://dx.doi.org/10.3892/mmr.2018.9636
work_keys_str_mv AT gaochundi identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT zhouchao identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT zhuangjing identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT liulijuan identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT weijunyu identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT liucun identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT lihuayao identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis
AT sunchanggang identificationofkeycandidategenesandmirnamrnatargetpairsinchroniclymphocyticleukemiabyintegratedbioinformaticsanalysis