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Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells

The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung cancer was created with the normalized gene expressio...

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Autores principales: Otálora-Otálora, Beatriz Andrea, González Prieto, Cristian, Guerrero, Lucia, Bernal-Forigua, Camila, Montecino, Martin, Cañas, Alejandra, López-Kleine, Liliana, Rojas, Adriana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775089/
https://www.ncbi.nlm.nih.gov/pubmed/36551878
http://dx.doi.org/10.3390/biomedicines10123122
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author Otálora-Otálora, Beatriz Andrea
González Prieto, Cristian
Guerrero, Lucia
Bernal-Forigua, Camila
Montecino, Martin
Cañas, Alejandra
López-Kleine, Liliana
Rojas, Adriana
author_facet Otálora-Otálora, Beatriz Andrea
González Prieto, Cristian
Guerrero, Lucia
Bernal-Forigua, Camila
Montecino, Martin
Cañas, Alejandra
López-Kleine, Liliana
Rojas, Adriana
author_sort Otálora-Otálora, Beatriz Andrea
collection PubMed
description The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung cancer was created with the normalized gene expression levels of differentially expressed genes (DEGs) from the microarray dataset GSE19804. Moreover, coregulatory and transcriptional regulatory network (TRN) analyses were performed for the main regulators identified in the GRN analysis. The gene targets and binding motifs of all potentially implicated regulators were identified in the TRN and with multiple alignments of the TFs’ target gene sequences. Six transcription factors (E2F3, FHL2, ETS1, KAT6B, TWIST1, and RUNX2) were identified in the GRN as essential regulators of gene expression in non-small-cell lung cancer (NSCLC) and related to the lung tumoral process. Our findings indicate that RUNX2 could be an important regulator of the lung cancer GRN through the formation of coregulatory complexes with other TFs related to the establishment and progression of lung cancer. Therefore, RUNX2 could become an essential biomarker for developing diagnostic tools and specific treatments against tumoral diseases in the lung after the experimental validation of its regulatory function.
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spelling pubmed-97750892022-12-23 Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells Otálora-Otálora, Beatriz Andrea González Prieto, Cristian Guerrero, Lucia Bernal-Forigua, Camila Montecino, Martin Cañas, Alejandra López-Kleine, Liliana Rojas, Adriana Biomedicines Article The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung cancer was created with the normalized gene expression levels of differentially expressed genes (DEGs) from the microarray dataset GSE19804. Moreover, coregulatory and transcriptional regulatory network (TRN) analyses were performed for the main regulators identified in the GRN analysis. The gene targets and binding motifs of all potentially implicated regulators were identified in the TRN and with multiple alignments of the TFs’ target gene sequences. Six transcription factors (E2F3, FHL2, ETS1, KAT6B, TWIST1, and RUNX2) were identified in the GRN as essential regulators of gene expression in non-small-cell lung cancer (NSCLC) and related to the lung tumoral process. Our findings indicate that RUNX2 could be an important regulator of the lung cancer GRN through the formation of coregulatory complexes with other TFs related to the establishment and progression of lung cancer. Therefore, RUNX2 could become an essential biomarker for developing diagnostic tools and specific treatments against tumoral diseases in the lung after the experimental validation of its regulatory function. MDPI 2022-12-03 /pmc/articles/PMC9775089/ /pubmed/36551878 http://dx.doi.org/10.3390/biomedicines10123122 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Otálora-Otálora, Beatriz Andrea
González Prieto, Cristian
Guerrero, Lucia
Bernal-Forigua, Camila
Montecino, Martin
Cañas, Alejandra
López-Kleine, Liliana
Rojas, Adriana
Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title_full Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title_fullStr Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title_full_unstemmed Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title_short Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
title_sort identification of the transcriptional regulatory role of runx2 by network analysis in lung cancer cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775089/
https://www.ncbi.nlm.nih.gov/pubmed/36551878
http://dx.doi.org/10.3390/biomedicines10123122
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