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Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network
Acute lymphoblastic leukemia (ALL) is a malignancy of bone marrow lymphoid precursors. Despite effective treatments, the causes of its progression or recurrence are still unknown. Finding prognostic biomarkers is needed for early diagnosis and more effective treatment. This study was performed to id...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tech Science Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208050/ https://www.ncbi.nlm.nih.gov/pubmed/37303492 http://dx.doi.org/10.32604/or.2022.027904 |
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author | NEKOEIAN, SHAHRAM ROSTAMI, TAHEREH NOROUZY, AMIR HUSSEIN, SAFIN TAVOOSIDANA, GHOLAMREZA CHAHARDOULI, BAHRAM ROSTAMI, SHAHRBANO ASGARI, YAZDAN AZIZI, ZAHRA |
author_facet | NEKOEIAN, SHAHRAM ROSTAMI, TAHEREH NOROUZY, AMIR HUSSEIN, SAFIN TAVOOSIDANA, GHOLAMREZA CHAHARDOULI, BAHRAM ROSTAMI, SHAHRBANO ASGARI, YAZDAN AZIZI, ZAHRA |
author_sort | NEKOEIAN, SHAHRAM |
collection | PubMed |
description | Acute lymphoblastic leukemia (ALL) is a malignancy of bone marrow lymphoid precursors. Despite effective treatments, the causes of its progression or recurrence are still unknown. Finding prognostic biomarkers is needed for early diagnosis and more effective treatment. This study was performed to identify long non-coding RNAs (lncRNAs) involved in ALL progression by constructing a competitive endogenous RNA (ceRNA) network. These lncRNAs may serve as potential new biomarkers in the development of ALL. The GSE67684 dataset identified changes in lncRNAs and mRNAs involved in ALL progression. Data from this study were re-analyzed, and probes related to lncRNAs were retrieved. Targetscan, miRTarBase, and miRcode databases were used to identify microRNAs (miRNAs) related to the discovered genes and lncRNAs. The ceRNA network was constructed, and the candidate lncRNAs were selected. Finally, the results were validated with reverse transcription quantitative real-time PCR (RT-qPCR). The ceRNA network outcomes demonstrated that the top lncRNAs associated with altered mRNAs in ALL are IRF1-AS1, MCM3AP-AS1, TRAF3IP2-AS1, HOTAIRM1, CRNDE, and TUG1. Investigations of the subnets linked to MCM3AP-AS1, TRAF3IP2-AS1, and IRF1-AS1 indicated that these lncRNAs were considerably related to pathways associated with inflammation, metastasis, and proliferation. Higher expression levels of IRF1-AS1, MCM3AP-AS1, TRAF3IP2-AS1, CRNDE, and TUG1 were found in ALL samples compared to controls. The expression of MCM3AP-AS1, TRAF3IP2-AS1, and IRF1-AS1 is significantly elevated during the progression of ALL, playing an oncogenic role. Due to their role in the main cancer pathways, lncRNAs could be suitable therapeutic and diagnostic targets in ALL. |
format | Online Article Text |
id | pubmed-10208050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Tech Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102080502023-06-10 Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network NEKOEIAN, SHAHRAM ROSTAMI, TAHEREH NOROUZY, AMIR HUSSEIN, SAFIN TAVOOSIDANA, GHOLAMREZA CHAHARDOULI, BAHRAM ROSTAMI, SHAHRBANO ASGARI, YAZDAN AZIZI, ZAHRA Oncol Res Article Acute lymphoblastic leukemia (ALL) is a malignancy of bone marrow lymphoid precursors. Despite effective treatments, the causes of its progression or recurrence are still unknown. Finding prognostic biomarkers is needed for early diagnosis and more effective treatment. This study was performed to identify long non-coding RNAs (lncRNAs) involved in ALL progression by constructing a competitive endogenous RNA (ceRNA) network. These lncRNAs may serve as potential new biomarkers in the development of ALL. The GSE67684 dataset identified changes in lncRNAs and mRNAs involved in ALL progression. Data from this study were re-analyzed, and probes related to lncRNAs were retrieved. Targetscan, miRTarBase, and miRcode databases were used to identify microRNAs (miRNAs) related to the discovered genes and lncRNAs. The ceRNA network was constructed, and the candidate lncRNAs were selected. Finally, the results were validated with reverse transcription quantitative real-time PCR (RT-qPCR). The ceRNA network outcomes demonstrated that the top lncRNAs associated with altered mRNAs in ALL are IRF1-AS1, MCM3AP-AS1, TRAF3IP2-AS1, HOTAIRM1, CRNDE, and TUG1. Investigations of the subnets linked to MCM3AP-AS1, TRAF3IP2-AS1, and IRF1-AS1 indicated that these lncRNAs were considerably related to pathways associated with inflammation, metastasis, and proliferation. Higher expression levels of IRF1-AS1, MCM3AP-AS1, TRAF3IP2-AS1, CRNDE, and TUG1 were found in ALL samples compared to controls. The expression of MCM3AP-AS1, TRAF3IP2-AS1, and IRF1-AS1 is significantly elevated during the progression of ALL, playing an oncogenic role. Due to their role in the main cancer pathways, lncRNAs could be suitable therapeutic and diagnostic targets in ALL. Tech Science Press 2023-02-09 /pmc/articles/PMC10208050/ /pubmed/37303492 http://dx.doi.org/10.32604/or.2022.027904 Text en © 2022 Nekoeian et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article NEKOEIAN, SHAHRAM ROSTAMI, TAHEREH NOROUZY, AMIR HUSSEIN, SAFIN TAVOOSIDANA, GHOLAMREZA CHAHARDOULI, BAHRAM ROSTAMI, SHAHRBANO ASGARI, YAZDAN AZIZI, ZAHRA Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title | Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title_full | Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title_fullStr | Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title_full_unstemmed | Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title_short | Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network |
title_sort | identification of lncrnas associated with the progression of acute lymphoblastic leukemia using a competing endogenous rnas network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208050/ https://www.ncbi.nlm.nih.gov/pubmed/37303492 http://dx.doi.org/10.32604/or.2022.027904 |
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