Bioinformatics analysis reveals genes involved in the pathogenesis of ameloblastoma and keratocystic odontogenic tumor

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dc.creatorEliane Macedo Sobrinho Santos
dc.creatorHércules Otacílio Santos
dc.creatorIvoneth dos Santos Dias
dc.creatorSergio Henrique Sousa Santos
dc.creatorAlfredo Maurício Batista de Paula
dc.creatorJohn David Feltenberger
dc.creatorAndré Luiz Sena Guimarães
dc.creatorLucyana Conceição Farias
dc.date.accessioned2022-08-12T11:45:20Z
dc.date.accessioned2025-09-09T01:32:29Z
dc.date.available2022-08-12T11:45:20Z
dc.date.issued2016-12-06
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.issn2251-9637
dc.identifier.urihttps://hdl.handle.net/1843/44214
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Molecular and Cellular Medicine
dc.rightsAcesso Aberto
dc.subjectCarcinogênese
dc.subjectTumores odontogênicos
dc.subjectCélulas - Proliferação
dc.subjectBioinformática
dc.titleBioinformatics analysis reveals genes involved in the pathogenesis of ameloblastoma and keratocystic odontogenic tumor
dc.typeArtigo de periódico
local.citation.epage219
local.citation.issue4
local.citation.spage199
local.citation.volume5
local.description.resumoPathogenesis of odontogenic tumors is not well known. It is important to identify genetic deregulations and molecular alterations. This study aimed to investigate, through bioinformatic analysis, the possible genes involved in the pathogenesis of ameloblastoma (AM) and keratocystic odontogenic tumor (KCOT). Genes involved in the pathogenesis of AM and KCOT were identified in GeneCards. Gene list was expanded, and the gene interactions network was mapped using the STRING software. “Weighted number of links” (WNL) was calculated to identify “leader genes” (highest WNL). Genes were ranked by K-means method and Kruskal-Wallis test was used (P<0.001). Total interactions score (TIS) was also calculated using all interaction data generated by the STRING database, in order to achieve global connectivity for each gene. The topological and ontological analyses were performed using Cytoscape software and BinGO plugin. Literature review data was used to corroborate the bioinformatics data. CDK1 was identified as leader gene for AM. In KCOT group, results show PCNA and TP53. Both tumors exhibit a power law behavior. Our topological analysis suggested leader genes possibly important in the pathogenesis of AM and KCOT, by clustering coefficient calculated for both odontogenic tumors (0.028 for AM, zero for KCOT). The results obtained in the scatter diagram suggest an important relationship of these genes with the molecular processes involved in AM and KCOT. Ontological analysis for both AM and KCOT demonstrated different mechanisms. Bioinformatics analyzes were confirmed through literature review. These results may suggest the involvement of promising genes for a better understanding of the pathogenesis of AM and KCOT.
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353982/

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