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Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma

INTRODUCTION: Leukoplakia is one of the most frequently found lesions in the oral cavity, with a probability of 17 to 24% of becoming malignant cells in a period of 30 years. Objective: To identify differentially expressed gene profiles of leukoplakia and its progression to oral squamous cell carcin...

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Autores principales: de Avila, Jaime Guzman, Redondo, Carlos Silvera, Alviz-Amador, Antistio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930946/
https://www.ncbi.nlm.nih.gov/pubmed/36444596
http://dx.doi.org/10.31557/APJCP.2022.23.11.3833
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author de Avila, Jaime Guzman
Redondo, Carlos Silvera
Alviz-Amador, Antistio
author_facet de Avila, Jaime Guzman
Redondo, Carlos Silvera
Alviz-Amador, Antistio
author_sort de Avila, Jaime Guzman
collection PubMed
description INTRODUCTION: Leukoplakia is one of the most frequently found lesions in the oral cavity, with a probability of 17 to 24% of becoming malignant cells in a period of 30 years. Objective: To identify differentially expressed gene profiles of leukoplakia and its progression to oral squamous cell carcinoma, essential for the discovery of new biomarkers to predict and prevent the presence of diseases in the oral cavity. METHODS: Initially, gene profiles of GSE85514 and GSE160042 from the Gene Expression Omnibus database were used. Differentially expressed genes were identified using GEO2R. The CLUEGO plugin in Cytoscape was used for DEG functionality and enrichment analysis. Finally, a protein-protein interaction (PPI) network was constructed using Cytoscape from data collected online from the STRING server. RESULTS: According to the MCC algorithm, the 10 most found gene sequences were HNRNPU, SMC1A, PAFAH1B1, EHMT1, SPTBN4, OLFM1, NCAM1, SF3B3, FGF2, and UBE2I; with HNRNPU, SMC1A, and PAFAH1B1 being the most representative of the modules. CONCLUSIONS: We were able to describe the gene sequences that promote the progression from leukoplakia to oral squamous cell carcinoma. Within these genes, the HNRNPU, SMC1A, and PAFAH1B1 constitute the main promising therapeutic targets to counteract the progression of oral cancer, they could also be important biomarkers for the diagnosis and classification of the disease.
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spelling pubmed-99309462023-02-16 Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma de Avila, Jaime Guzman Redondo, Carlos Silvera Alviz-Amador, Antistio Asian Pac J Cancer Prev Research Article INTRODUCTION: Leukoplakia is one of the most frequently found lesions in the oral cavity, with a probability of 17 to 24% of becoming malignant cells in a period of 30 years. Objective: To identify differentially expressed gene profiles of leukoplakia and its progression to oral squamous cell carcinoma, essential for the discovery of new biomarkers to predict and prevent the presence of diseases in the oral cavity. METHODS: Initially, gene profiles of GSE85514 and GSE160042 from the Gene Expression Omnibus database were used. Differentially expressed genes were identified using GEO2R. The CLUEGO plugin in Cytoscape was used for DEG functionality and enrichment analysis. Finally, a protein-protein interaction (PPI) network was constructed using Cytoscape from data collected online from the STRING server. RESULTS: According to the MCC algorithm, the 10 most found gene sequences were HNRNPU, SMC1A, PAFAH1B1, EHMT1, SPTBN4, OLFM1, NCAM1, SF3B3, FGF2, and UBE2I; with HNRNPU, SMC1A, and PAFAH1B1 being the most representative of the modules. CONCLUSIONS: We were able to describe the gene sequences that promote the progression from leukoplakia to oral squamous cell carcinoma. Within these genes, the HNRNPU, SMC1A, and PAFAH1B1 constitute the main promising therapeutic targets to counteract the progression of oral cancer, they could also be important biomarkers for the diagnosis and classification of the disease. West Asia Organization for Cancer Prevention 2022-11 /pmc/articles/PMC9930946/ /pubmed/36444596 http://dx.doi.org/10.31557/APJCP.2022.23.11.3833 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. https://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Research Article
de Avila, Jaime Guzman
Redondo, Carlos Silvera
Alviz-Amador, Antistio
Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title_full Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title_fullStr Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title_full_unstemmed Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title_short Bioinformatic Analysis of Plus Gene Expression Related to Progression from Leukoplakia to Oral Squamous Cell Carcinoma
title_sort bioinformatic analysis of plus gene expression related to progression from leukoplakia to oral squamous cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930946/
https://www.ncbi.nlm.nih.gov/pubmed/36444596
http://dx.doi.org/10.31557/APJCP.2022.23.11.3833
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