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Identification of potential candidate genes for lip and oral cavity cancer using network analysis
Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients’ survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042300/ https://www.ncbi.nlm.nih.gov/pubmed/33840168 http://dx.doi.org/10.5808/gi.20062 |
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author | Mathavan, Sarmilah Kue, Chin Siang Kumar, Suresh |
author_facet | Mathavan, Sarmilah Kue, Chin Siang Kumar, Suresh |
author_sort | Mathavan, Sarmilah |
collection | PubMed |
description | Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients’ survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer. |
format | Online Article Text |
id | pubmed-8042300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-80423002021-04-19 Identification of potential candidate genes for lip and oral cavity cancer using network analysis Mathavan, Sarmilah Kue, Chin Siang Kumar, Suresh Genomics Inform Original Article Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients’ survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer. Korea Genome Organization 2021-03-15 /pmc/articles/PMC8042300/ /pubmed/33840168 http://dx.doi.org/10.5808/gi.20062 Text en (c) 2021, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution 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 | Original Article Mathavan, Sarmilah Kue, Chin Siang Kumar, Suresh Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title | Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title_full | Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title_fullStr | Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title_full_unstemmed | Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title_short | Identification of potential candidate genes for lip and oral cavity cancer using network analysis |
title_sort | identification of potential candidate genes for lip and oral cavity cancer using network analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042300/ https://www.ncbi.nlm.nih.gov/pubmed/33840168 http://dx.doi.org/10.5808/gi.20062 |
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