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Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses

Recent investigations revealed the relationship between chronic periodontitis, Porphyromonas gingivalis and cancer. However, host genes that change in response to chronic infection with P. gingivalis and may contribute to oral cancer have remained largely unknown. In the present study, we aimed to c...

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Autores principales: Geng, Fengxue, Wang, Qingxuan, Li, Chen, Liu, Junchao, Zhang, Dongmei, Zhang, Shuwei, Pan, Yaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394248/
https://www.ncbi.nlm.nih.gov/pubmed/30847302
http://dx.doi.org/10.3389/fonc.2019.00091
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author Geng, Fengxue
Wang, Qingxuan
Li, Chen
Liu, Junchao
Zhang, Dongmei
Zhang, Shuwei
Pan, Yaping
author_facet Geng, Fengxue
Wang, Qingxuan
Li, Chen
Liu, Junchao
Zhang, Dongmei
Zhang, Shuwei
Pan, Yaping
author_sort Geng, Fengxue
collection PubMed
description Recent investigations revealed the relationship between chronic periodontitis, Porphyromonas gingivalis and cancer. However, host genes that change in response to chronic infection with P. gingivalis and may contribute to oral cancer have remained largely unknown. In the present study, we aimed to comprehensively analyze microarray data obtained from the chronic infection model of immortalized oral epithelial cells that were persistently exposed to P. gingivalis for 15 weeks. Using protein-protein interaction (PPI) networks and Ingenuity Pathway Analysis (IPA), we identified hub genes, major biological processes, upstream regulators and genes potentially involved in tumor initiation and progression. We also validated gene expression and demonstrated genetic alteration of hub genes from clinical samples of head and neck cancer. Overall, we utilized bioinformatical methods to identify IL6, STAT1, LYN, BDNF, C3, CD274, PDCD1LG2, and CXCL10 as potential candidate genes that might facilitate the prevention and treatment of oral squamous cell carcinoma (OSCC), the most common type of head and neck squamous cell carcinoma (HNSCC).
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spelling pubmed-63942482019-03-07 Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses Geng, Fengxue Wang, Qingxuan Li, Chen Liu, Junchao Zhang, Dongmei Zhang, Shuwei Pan, Yaping Front Oncol Oncology Recent investigations revealed the relationship between chronic periodontitis, Porphyromonas gingivalis and cancer. However, host genes that change in response to chronic infection with P. gingivalis and may contribute to oral cancer have remained largely unknown. In the present study, we aimed to comprehensively analyze microarray data obtained from the chronic infection model of immortalized oral epithelial cells that were persistently exposed to P. gingivalis for 15 weeks. Using protein-protein interaction (PPI) networks and Ingenuity Pathway Analysis (IPA), we identified hub genes, major biological processes, upstream regulators and genes potentially involved in tumor initiation and progression. We also validated gene expression and demonstrated genetic alteration of hub genes from clinical samples of head and neck cancer. Overall, we utilized bioinformatical methods to identify IL6, STAT1, LYN, BDNF, C3, CD274, PDCD1LG2, and CXCL10 as potential candidate genes that might facilitate the prevention and treatment of oral squamous cell carcinoma (OSCC), the most common type of head and neck squamous cell carcinoma (HNSCC). Frontiers Media S.A. 2019-02-21 /pmc/articles/PMC6394248/ /pubmed/30847302 http://dx.doi.org/10.3389/fonc.2019.00091 Text en Copyright © 2019 Geng, Wang, Li, Liu, Zhang, Zhang and Pan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Geng, Fengxue
Wang, Qingxuan
Li, Chen
Liu, Junchao
Zhang, Dongmei
Zhang, Shuwei
Pan, Yaping
Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title_full Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title_fullStr Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title_full_unstemmed Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title_short Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses
title_sort identification of potential candidate genes of oral cancer in response to chronic infection with porphyromonas gingivalis using bioinformatical analyses
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394248/
https://www.ncbi.nlm.nih.gov/pubmed/30847302
http://dx.doi.org/10.3389/fonc.2019.00091
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