Computational biology helps understand how polyploid giant cancer cells drive tumor success

Detalhes bibliográficos
Autor(a) principal: Casotti, Matheus Correia
Data de Publicação: 2023
Outros Autores: 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
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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spelling 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
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/259116
dc.identifier.issn.pt_BR.fl_str_mv 2073-4425
dc.identifier.nrb.pt_BR.fl_str_mv 001168142
identifier_str_mv 2073-4425
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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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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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collection Repositório Institucional da UFRGS
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