Computational biology helps understand how polyploid giant cancer cells drive tumor success
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/259116 |
Resumo: | Precision and organization govern the cell cycle, ensuring normal proliferation. However, some cells may undergo abnormal cell divisions (neosis) or variations of mitotic cycles (endopolyploidy). Consequently, the formation of polyploid giant cancer cells (PGCCs), critical for tumor survival, resistance, and immortalization, can occur. Newly formed cells end up accessing numerous multicellular and unicellular programs that enable metastasis, drug resistance, tumor recurrence, and self-renewal or diverse clone formation. An integrative literature review was carried out, searching articles in several sites, including: PUBMED, NCBI-PMC, and Google Academic, published in English, indexed in referenced databases and without a publication time filter, but prioritizing articles from the last 3 years, to answer the following questions: (i) “What is the current knowledge about polyploidy in tumors?”; (ii) “What are the applications of computational studies for the understanding of cancer polyploidy?”; and (iii) “How do PGCCs contribute to tumorigenesis?” |
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Casotti, Matheus CorreiaMeira, Débora DummerZetum, Aléxia Stefani SiqueiraAraújo, Bruno Cancian deSilva, Danielle Ribeiro Campos daSantos, Eldamária de Vargas Wolfgramm dosRodrigues, Fernanda Mariano Garcia de SouzaPaula, Flávia deSantana, Gabriel MendonçaLouro, Luana SantosAlves, Lyvia Neves RebelloBraga, Raquel Furlani RoconTrabach, Raquel Silva dos ReisBernardes, Sara SantosLouro, Thomas Erik SantosChiela, Eduardo Cremonese FilippiLenz, GuidoCarvalho, Elizeu Fagundes deLouro, Iúri Drumond2023-06-17T03:37:39Z20232073-4425http://hdl.handle.net/10183/259116001168142Precision and organization govern the cell cycle, ensuring normal proliferation. However, some cells may undergo abnormal cell divisions (neosis) or variations of mitotic cycles (endopolyploidy). Consequently, the formation of polyploid giant cancer cells (PGCCs), critical for tumor survival, resistance, and immortalization, can occur. Newly formed cells end up accessing numerous multicellular and unicellular programs that enable metastasis, drug resistance, tumor recurrence, and self-renewal or diverse clone formation. An integrative literature review was carried out, searching articles in several sites, including: PUBMED, NCBI-PMC, and Google Academic, published in English, indexed in referenced databases and without a publication time filter, but prioritizing articles from the last 3 years, to answer the following questions: (i) “What is the current knowledge about polyploidy in tumors?”; (ii) “What are the applications of computational studies for the understanding of cancer polyploidy?”; and (iii) “How do PGCCs contribute to tumorigenesis?”application/pdfengGenes. Basel. Vol. 14, no. 4 (Apr. 2023), 801, 20 p.Biologia computacionalPoliploidiaProcessos patológicosNeoplasiasPolyploid giant cancer cells (PGCCs)BioinformaticsSystems biologyTumor evolutionComputational biology helps understand how polyploid giant cancer cells drive tumor successEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001168142.pdf.txt001168142.pdf.txtExtracted Texttext/plain90215http://www.lume.ufrgs.br/bitstream/10183/259116/2/001168142.pdf.txtd4a6b19577b5bd354335cee4d8a173b7MD52ORIGINAL001168142.pdfTexto completo (inglês)application/pdf1845095http://www.lume.ufrgs.br/bitstream/10183/259116/1/001168142.pdfcf50828b56cc51ec83a7643c2c084ff2MD5110183/2591162023-07-12 03:34:43.06275oai:www.lume.ufrgs.br:10183/259116Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-12T06:34:43Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
title |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
spellingShingle |
Computational biology helps understand how polyploid giant cancer cells drive tumor success Casotti, Matheus Correia Biologia computacional Poliploidia Processos patológicos Neoplasias Polyploid giant cancer cells (PGCCs) Bioinformatics Systems biology Tumor evolution |
title_short |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
title_full |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
title_fullStr |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
title_full_unstemmed |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
title_sort |
Computational biology helps understand how polyploid giant cancer cells drive tumor success |
author |
Casotti, Matheus Correia |
author_facet |
Casotti, Matheus Correia Meira, Débora Dummer Zetum, Aléxia Stefani Siqueira Araújo, Bruno Cancian de Silva, Danielle Ribeiro Campos da Santos, Eldamária de Vargas Wolfgramm dos Rodrigues, Fernanda Mariano Garcia de Souza Paula, Flávia de Santana, Gabriel Mendonça Louro, Luana Santos Alves, Lyvia Neves Rebello Braga, Raquel Furlani Rocon Trabach, Raquel Silva dos Reis Bernardes, Sara Santos Louro, Thomas Erik Santos Chiela, Eduardo Cremonese Filippi Lenz, Guido Carvalho, Elizeu Fagundes de Louro, Iúri Drumond |
author_role |
author |
author2 |
Meira, Débora Dummer Zetum, Aléxia Stefani Siqueira Araújo, Bruno Cancian de Silva, Danielle Ribeiro Campos da Santos, Eldamária de Vargas Wolfgramm dos Rodrigues, Fernanda Mariano Garcia de Souza Paula, Flávia de Santana, Gabriel Mendonça Louro, Luana Santos Alves, Lyvia Neves Rebello Braga, Raquel Furlani Rocon Trabach, Raquel Silva dos Reis Bernardes, Sara Santos Louro, Thomas Erik Santos Chiela, Eduardo Cremonese Filippi Lenz, Guido Carvalho, Elizeu Fagundes de Louro, Iúri Drumond |
author2_role |
author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Casotti, Matheus Correia Meira, Débora Dummer Zetum, Aléxia Stefani Siqueira Araújo, Bruno Cancian de Silva, Danielle Ribeiro Campos da Santos, Eldamária de Vargas Wolfgramm dos Rodrigues, Fernanda Mariano Garcia de Souza Paula, Flávia de Santana, Gabriel Mendonça Louro, Luana Santos Alves, Lyvia Neves Rebello Braga, Raquel Furlani Rocon Trabach, Raquel Silva dos Reis Bernardes, Sara Santos Louro, Thomas Erik Santos Chiela, Eduardo Cremonese Filippi Lenz, Guido Carvalho, Elizeu Fagundes de Louro, Iúri Drumond |
dc.subject.por.fl_str_mv |
Biologia computacional Poliploidia Processos patológicos Neoplasias |
topic |
Biologia computacional Poliploidia Processos patológicos Neoplasias Polyploid giant cancer cells (PGCCs) Bioinformatics Systems biology Tumor evolution |
dc.subject.eng.fl_str_mv |
Polyploid giant cancer cells (PGCCs) Bioinformatics Systems biology Tumor evolution |
description |
Precision and organization govern the cell cycle, ensuring normal proliferation. However, some cells may undergo abnormal cell divisions (neosis) or variations of mitotic cycles (endopolyploidy). Consequently, the formation of polyploid giant cancer cells (PGCCs), critical for tumor survival, resistance, and immortalization, can occur. Newly formed cells end up accessing numerous multicellular and unicellular programs that enable metastasis, drug resistance, tumor recurrence, and self-renewal or diverse clone formation. An integrative literature review was carried out, searching articles in several sites, including: PUBMED, NCBI-PMC, and Google Academic, published in English, indexed in referenced databases and without a publication time filter, but prioritizing articles from the last 3 years, to answer the following questions: (i) “What is the current knowledge about polyploidy in tumors?”; (ii) “What are the applications of computational studies for the understanding of cancer polyploidy?”; and (iii) “How do PGCCs contribute to tumorigenesis?” |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-06-17T03:37:39Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/259116 |
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2073-4425 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001168142 |
identifier_str_mv |
2073-4425 001168142 |
url |
http://hdl.handle.net/10183/259116 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Genes. Basel. Vol. 14, no. 4 (Apr. 2023), 801, 20 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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