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Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis

miRNAs modulate gene expression and play critical functions as oncomiRs or tumor suppressors. The miR-182-3p is important in chemoresistance and cancer progression in breast, lung, osteosarcoma, and ovarian cancer. However, the role of miR-182-3p in cervical cancer (CC) has not been elucidated. Aim:...

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Autores principales: Salmerón-Bárcenas, Eric Genaro, Mendoza-Catalan, Miguel Angel, Ramírez-Bautista, Ángela Uray, Lozano-Santos, Rafael Acxel, Torres-Rojas, Francisco Israel, Ávila-López, Pedro Antonio, Zacapala-Gómez, Ana Elvira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094573/
https://www.ncbi.nlm.nih.gov/pubmed/37047006
http://dx.doi.org/10.3390/ijms24076032
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author Salmerón-Bárcenas, Eric Genaro
Mendoza-Catalan, Miguel Angel
Ramírez-Bautista, Ángela Uray
Lozano-Santos, Rafael Acxel
Torres-Rojas, Francisco Israel
Ávila-López, Pedro Antonio
Zacapala-Gómez, Ana Elvira
author_facet Salmerón-Bárcenas, Eric Genaro
Mendoza-Catalan, Miguel Angel
Ramírez-Bautista, Ángela Uray
Lozano-Santos, Rafael Acxel
Torres-Rojas, Francisco Israel
Ávila-López, Pedro Antonio
Zacapala-Gómez, Ana Elvira
author_sort Salmerón-Bárcenas, Eric Genaro
collection PubMed
description miRNAs modulate gene expression and play critical functions as oncomiRs or tumor suppressors. The miR-182-3p is important in chemoresistance and cancer progression in breast, lung, osteosarcoma, and ovarian cancer. However, the role of miR-182-3p in cervical cancer (CC) has not been elucidated. Aim: To analyze the role of miR-182-3p in CC through a comprehensive bioinformatic analysis. Methods: Gene Expression Omnibus (GEO) databases were used for the expression analysis. The mRNA targets of miR-182-3p were identified using miRDB, TargetScanHuman, and miRPathDB. The prediction of island CpG was performed using the MethPrimer program. The transcription factor binding sites in the FLI-1 promoter were identified using ConSite+, Alibaba2, and ALGGEN-PROMO. The protein–protein interaction (PPI) analysis was performed in STRING 11.5. Results: miR-182-3p was significantly overexpressed in CC patients and has potential as a diagnostic. We identified 330 targets of miR-182-3p including FLI-1, which downregulates its expression in CC. Additionally, the aberrant methylation of the FLI-1 promoter and Ap2a transcription factor could be involved in downregulating FLI1 expression. Finally, we found that FLI-1 is a possible key gene in the immune response in CC. Conclusions: The miR-182-3p/FLI-1 axis plays a critical role in immune response in CC.
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spelling pubmed-100945732023-04-13 Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis Salmerón-Bárcenas, Eric Genaro Mendoza-Catalan, Miguel Angel Ramírez-Bautista, Ángela Uray Lozano-Santos, Rafael Acxel Torres-Rojas, Francisco Israel Ávila-López, Pedro Antonio Zacapala-Gómez, Ana Elvira Int J Mol Sci Article miRNAs modulate gene expression and play critical functions as oncomiRs or tumor suppressors. The miR-182-3p is important in chemoresistance and cancer progression in breast, lung, osteosarcoma, and ovarian cancer. However, the role of miR-182-3p in cervical cancer (CC) has not been elucidated. Aim: To analyze the role of miR-182-3p in CC through a comprehensive bioinformatic analysis. Methods: Gene Expression Omnibus (GEO) databases were used for the expression analysis. The mRNA targets of miR-182-3p were identified using miRDB, TargetScanHuman, and miRPathDB. The prediction of island CpG was performed using the MethPrimer program. The transcription factor binding sites in the FLI-1 promoter were identified using ConSite+, Alibaba2, and ALGGEN-PROMO. The protein–protein interaction (PPI) analysis was performed in STRING 11.5. Results: miR-182-3p was significantly overexpressed in CC patients and has potential as a diagnostic. We identified 330 targets of miR-182-3p including FLI-1, which downregulates its expression in CC. Additionally, the aberrant methylation of the FLI-1 promoter and Ap2a transcription factor could be involved in downregulating FLI1 expression. Finally, we found that FLI-1 is a possible key gene in the immune response in CC. Conclusions: The miR-182-3p/FLI-1 axis plays a critical role in immune response in CC. MDPI 2023-03-23 /pmc/articles/PMC10094573/ /pubmed/37047006 http://dx.doi.org/10.3390/ijms24076032 Text en © 2023 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
Salmerón-Bárcenas, Eric Genaro
Mendoza-Catalan, Miguel Angel
Ramírez-Bautista, Ángela Uray
Lozano-Santos, Rafael Acxel
Torres-Rojas, Francisco Israel
Ávila-López, Pedro Antonio
Zacapala-Gómez, Ana Elvira
Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title_full Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title_fullStr Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title_full_unstemmed Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title_short Identification of Mir-182-3p/FLI-1 Axis as a Key Signaling in Immune Response in Cervical Cancer: A Comprehensive Bioinformatic Analysis
title_sort identification of mir-182-3p/fli-1 axis as a key signaling in immune response in cervical cancer: a comprehensive bioinformatic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094573/
https://www.ncbi.nlm.nih.gov/pubmed/37047006
http://dx.doi.org/10.3390/ijms24076032
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