1. Repositório Institucional - Universidade Federal de Uberlândia
  2. Instituto de Biotecnologia (IBTEC)
  3. TCC - Biotecnologia (Patos de Minas)
Please use this identifier to cite or link to this item: https://repositorio.ufu.br/handle/123456789/38461
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dc.creatorFacciolo Filho, Antonio Carlos-
dc.date.accessioned2023-07-07T12:35:50Z-
dc.date.available2023-07-07T12:35:50Z-
dc.date.issued2023-06-23-
dc.identifier.citationFACCIOLO FILHO, Antonio Carlos. Identification of mutations potentially associated with Chemoradiotherapy Treatment response in cervical cancer. 2023. 42 f. Trabalho de Conclusão de Curso (Graduação em Biotecnologia) – Universidade Federal de Uberlândia, Uberlândia, 2023.pt_BR
dc.identifier.urihttps://repositorio.ufu.br/handle/123456789/38461-
dc.description.sponsorshipPesquisa sem auxílio de agências de fomentopt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Uberlândiapt_BR
dc.rightsAcesso Abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCervical cancerpt_BR
dc.subjectRNA-seqpt_BR
dc.subjectChemoradiotherapypt_BR
dc.subjectSomatic mutationspt_BR
dc.subjectMUC6pt_BR
dc.subjectNAP1L1pt_BR
dc.subjectPABPC1pt_BR
dc.subjectNLRP4pt_BR
dc.titleIdentification of mutations potentially associated with Chemoradiotherapy Treatment response in cervical cancerpt_BR
dc.typeTrabalho de Conclusão de Cursopt_BR
dc.contributor.advisor-co1Alves, Tamires Caixeta-
dc.contributor.advisor-co1Latteshttp://lattes.cnpq.br/8597119747634649pt_BR
dc.contributor.advisor1Gomes, Matheus de Souza-
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/8674610062329213pt_BR
dc.contributor.referee1Melo, Carolina Pereira de Souza-
dc.contributor.referee1Latteshttp://lattes.cnpq.br/4478543227984173pt_BR
dc.contributor.referee2Araújo, Carlos Bruno-
dc.contributor.referee2Latteshttp://lattes.cnpq.br/7810817113256976pt_BR
dc.creator.Latteshttp://lattes.cnpq.br/3322425530277638pt_BR
dc.description.degreenameTrabalho de Conclusão de Curso (Graduação)pt_BR
dc.description.resumoChemoradiotherapy resistance can significantly influence treatment outcomes in cervical cancer patients. Somatic variants play a crucial role in tumor development and treatment response. This study aimed to identify potentially clinically significant variants associated with chemoradiotherapy response using RNA-seq data analysis. RNA-seq data from 31 cervical cancer patients were subjected to variant calling and subsequent analysis using a machine learning decision tree algorithm. Variants within coding genes were selected based on their potential to segregate non-responder and responder patients. The selected variants were further assessed using variant impact prediction tools. We identified and investigated variants that exhibited potential to act as biomarkers for poor chemoradiotherapy response. Comprehensive analysis using variant impact prediction tools indicated that these variants may have deleterious effects on gene function. The genes harboring these variants were found to be involved in crucial cellular processes associated with cancer progression, including cell cycle regulation, proliferation, and notably, drug resistance. Our findings suggest that specific variants, namely MUC6(NM_005961.3):c.5992C>A, PABPC1(NM_002568.4):c.1255C>T, NAP1L1(NM_004537.7):c.1064_1065delinsGG, and NLRP4(NM_134444.5):c.1488_1489insT, have the potential to serve as indicators of poor chemoradiotherapy response in cervical cancer patients.pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.courseBiotecnologiapt_BR
dc.sizeorduration42pt_BR
dc.subject.cnpqCNPQ::CIENCIAS BIOLOGICAS::GENETICA::GENETICA HUMANA E MEDICApt_BR
dc.orcid.putcode138290320-
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