Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/13713 |
Resumo: | Pharmacogenetics allows to verify the genetic polymorphisms that influence the success of an oncological pharmacotherapy, therefore, the need for progression in the pharmacogenomic oncological field is evident. This study aims to describe the importance of predictive biomarkers related to pharmacogenetic breast and prostate cancer through a literature review. The search for original articles took place between February and November 2020 in databases such as Pubmed, Scielo, Medline and search directories such as Google Scholar. As for the inclusion criteria, the original articles in English, Portuguese and Spanish published between 2010 and 2020 were included. The search result found 102 articles on the subject, 36 excluded because they were review articles, 22 excluded after reading the abstract and 13 excluded because they did not align with the theme. 31 original articles were selected for which the authors prove the importance of validating independent studies on predictive values of biomarkers for breast and prostate cancer. The conclusion of the analyzed studies suggests that the use of biomarkers makes it possible to predict responses to clinical treatment, appropriate therapeutic conduct where they are associated with better treatment results. |
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Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic reviewImportancia de los biomarcadores predictivos relacionados con farmacogenética en cáncer de mama y próstata: una revisión sistemáticoImportância de biomarcadores preditivos relacionados à Farmacogenética no câncer de mama e próstata: uma revisão sistemáticaCarcinogêneseFarmacogenômicaBiomarcadorTratamento.CarcinogénesisFarmacogenómicaBiomarcadorTratamiento.CarcinogenesisPharmacogenomicsBiomarkerTreatment.Pharmacogenetics allows to verify the genetic polymorphisms that influence the success of an oncological pharmacotherapy, therefore, the need for progression in the pharmacogenomic oncological field is evident. This study aims to describe the importance of predictive biomarkers related to pharmacogenetic breast and prostate cancer through a literature review. The search for original articles took place between February and November 2020 in databases such as Pubmed, Scielo, Medline and search directories such as Google Scholar. As for the inclusion criteria, the original articles in English, Portuguese and Spanish published between 2010 and 2020 were included. The search result found 102 articles on the subject, 36 excluded because they were review articles, 22 excluded after reading the abstract and 13 excluded because they did not align with the theme. 31 original articles were selected for which the authors prove the importance of validating independent studies on predictive values of biomarkers for breast and prostate cancer. The conclusion of the analyzed studies suggests that the use of biomarkers makes it possible to predict responses to clinical treatment, appropriate therapeutic conduct where they are associated with better treatment results.Antecedentes: este estudio tiene como objetivo describir la importancia de los biomarcadores factores predictivos relacionados con la farmacogenética en el cáncer de mama y de próstata. Materiales y Métodos: La búsqueda de artículos originales se realizó entre febrero y noviembre de 2020 en un datos como Pubmed, Scielo, Medline y directorios de búsqueda como Google Scholar. La el criterio de inclusión se dio a través de artículos originales, en inglés, portugués publicado entre 2010 y 2020. Resultados: La búsqueda encontró 102 artículos, 36 excluidos para ser revisados, 22 excluidos después de leer el resumen y 13 excluidos para no sigas el tema. Se seleccionaron 31 artículos originales para los cuales los autores demostrar la importancia de validar estudios independientes sobre valores predictivos de biomarcadores. Conclusión: La conclusión de los estudios analizados sugiere que el uso de los biomarcadores permiten predecir las respuestas al tratamiento clínico, la conducta terapéutica donde se asocian con mejores resultados del tratamiento.Antecedentes: Este estudo objetiva descrever a importância de biomarcadores preditivos relacionados à farmacogenética no câncer de mama e de próstata. Materiais e Métodos: A busca de artigos originais se deu entre fevereiro e novembro de 2020 em bases de dados como Pubmed, Scielo, Medline e diretórios de busca como Google Acadêmico. O critério de inclusão se deu através de artigos originais, de linguagem inglesa, portuguesa e espanhola publicados entre o ano de 2010 a 2020. Resultados: A busca encontrou 102 artigos, 36 excluídos por serem de revisão, 22 excluídos após leitura do resumo e 13 excluídos por não seguirem a temática. Foram selecionados 31 artigos originais pelos quais os autores comprovam a importância da validação de estudos independentes sobre valores preditivos de biomarcadores. Conclusão: A conclusão dos estudos analisados sugere que a utilização de biomarcadores possibilita a previsão de respostas ao tratamento clínico, conduta terapêutica adequada onde são associados a melhores resultados do tratamento.Research, Society and Development2021-03-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1371310.33448/rsd-v10i3.13713Research, Society and Development; Vol. 10 No. 3; e51810313713Research, Society and Development; Vol. 10 Núm. 3; e51810313713Research, Society and Development; v. 10 n. 3; e518103137132525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/13713/12250Copyright (c) 2021 Elisa da Silva Menezes; Emerson Tomas Ferreira Carneiro; Marcella Kelly Costa de Almeida; Carla de Castro Sant' Annahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMenezes, Elisa da SilvaCarneiro, Emerson Tomas FerreiraAlmeida, Marcella Kelly Costa de Sant' Anna, Carla de Castro2021-03-28T12:03:35Zoai:ojs.pkp.sfu.ca:article/13713Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:34:59.721292Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review Importancia de los biomarcadores predictivos relacionados con farmacogenética en cáncer de mama y próstata: una revisión sistemático Importância de biomarcadores preditivos relacionados à Farmacogenética no câncer de mama e próstata: uma revisão sistemática |
title |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
spellingShingle |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review Menezes, Elisa da Silva Carcinogênese Farmacogenômica Biomarcador Tratamento. Carcinogénesis Farmacogenómica Biomarcador Tratamiento. Carcinogenesis Pharmacogenomics Biomarker Treatment. |
title_short |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
title_full |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
title_fullStr |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
title_full_unstemmed |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
title_sort |
Importance of predictive biomarkers related to Pharmacogenetics in breast cancer and prostate: a systematic review |
author |
Menezes, Elisa da Silva |
author_facet |
Menezes, Elisa da Silva Carneiro, Emerson Tomas Ferreira Almeida, Marcella Kelly Costa de Sant' Anna, Carla de Castro |
author_role |
author |
author2 |
Carneiro, Emerson Tomas Ferreira Almeida, Marcella Kelly Costa de Sant' Anna, Carla de Castro |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Menezes, Elisa da Silva Carneiro, Emerson Tomas Ferreira Almeida, Marcella Kelly Costa de Sant' Anna, Carla de Castro |
dc.subject.por.fl_str_mv |
Carcinogênese Farmacogenômica Biomarcador Tratamento. Carcinogénesis Farmacogenómica Biomarcador Tratamiento. Carcinogenesis Pharmacogenomics Biomarker Treatment. |
topic |
Carcinogênese Farmacogenômica Biomarcador Tratamento. Carcinogénesis Farmacogenómica Biomarcador Tratamiento. Carcinogenesis Pharmacogenomics Biomarker Treatment. |
description |
Pharmacogenetics allows to verify the genetic polymorphisms that influence the success of an oncological pharmacotherapy, therefore, the need for progression in the pharmacogenomic oncological field is evident. This study aims to describe the importance of predictive biomarkers related to pharmacogenetic breast and prostate cancer through a literature review. The search for original articles took place between February and November 2020 in databases such as Pubmed, Scielo, Medline and search directories such as Google Scholar. As for the inclusion criteria, the original articles in English, Portuguese and Spanish published between 2010 and 2020 were included. The search result found 102 articles on the subject, 36 excluded because they were review articles, 22 excluded after reading the abstract and 13 excluded because they did not align with the theme. 31 original articles were selected for which the authors prove the importance of validating independent studies on predictive values of biomarkers for breast and prostate cancer. The conclusion of the analyzed studies suggests that the use of biomarkers makes it possible to predict responses to clinical treatment, appropriate therapeutic conduct where they are associated with better treatment results. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/13713 10.33448/rsd-v10i3.13713 |
url |
https://rsdjournal.org/index.php/rsd/article/view/13713 |
identifier_str_mv |
10.33448/rsd-v10i3.13713 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/13713/12250 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 3; e51810313713 Research, Society and Development; Vol. 10 Núm. 3; e51810313713 Research, Society and Development; v. 10 n. 3; e51810313713 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052784633184256 |