MicroRNA signature refine response prediction in CML

Detalhes bibliográficos
Autor(a) principal: Alves, Raquel
Data de Publicação: 2019
Outros Autores: Gonçalves, Ana Cristina, Jorge, Joana, Marques, Gilberto, Luís, Dino, Ribeiro, André B., Freitas-Tavares, Paulo, Oliveiros, Bárbara, Almeida, António M., Sarmento-Ribeiro, Ana Bela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/32503
Resumo: microRNAs (miRs) dysregulation have emerged as a crucial step in tumorigenesis, being related with cancer development, progression and response to treatment. In chronic myeloid leukaemia (CML), the resistance to tyrosine kinase inhibitors (TKI) is responsible for treatment failure and could be linked to changes in miRs expression. This work aimed to correlate the expression levels of 3 miRs, miR-21, miR-26b and miR-451, with response to TKI treatment in CML patients. miR-451 levels at diagnosis were significantly higher in patients with optimal response after 6 and 12 months of therapy. Conversely, patients without optimal response had highest levels of miR-21. miR-21 and miR-451 appear to be good biomarkers of response, able to predict optimal TKI responders (p < 0.05). Using the combined profile of both miRs, we create a predictive model of optimal response after one year of treatment. This study highlights the role of miR-21 and miR-451 expression levels at diagnosis in predicting which patients achieve the optimal response.
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spelling MicroRNA signature refine response prediction in CMLmicroRNAs (miRs) dysregulation have emerged as a crucial step in tumorigenesis, being related with cancer development, progression and response to treatment. In chronic myeloid leukaemia (CML), the resistance to tyrosine kinase inhibitors (TKI) is responsible for treatment failure and could be linked to changes in miRs expression. This work aimed to correlate the expression levels of 3 miRs, miR-21, miR-26b and miR-451, with response to TKI treatment in CML patients. miR-451 levels at diagnosis were significantly higher in patients with optimal response after 6 and 12 months of therapy. Conversely, patients without optimal response had highest levels of miR-21. miR-21 and miR-451 appear to be good biomarkers of response, able to predict optimal TKI responders (p < 0.05). Using the combined profile of both miRs, we create a predictive model of optimal response after one year of treatment. This study highlights the role of miR-21 and miR-451 expression levels at diagnosis in predicting which patients achieve the optimal response.Veritati - Repositório Institucional da Universidade Católica PortuguesaAlves, RaquelGonçalves, Ana CristinaJorge, JoanaMarques, GilbertoLuís, DinoRibeiro, André B.Freitas-Tavares, PauloOliveiros, BárbaraAlmeida, António M.Sarmento-Ribeiro, Ana Bela2021-04-12T16:10:06Z2019-12-012019-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/32503eng2045-232210.1038/s41598-019-46132-985068470311PMC660961131273251000474223600012info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-03T01:42:21Zoai:repositorio.ucp.pt:10400.14/32503Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:26:15.300558Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv MicroRNA signature refine response prediction in CML
title MicroRNA signature refine response prediction in CML
spellingShingle MicroRNA signature refine response prediction in CML
Alves, Raquel
title_short MicroRNA signature refine response prediction in CML
title_full MicroRNA signature refine response prediction in CML
title_fullStr MicroRNA signature refine response prediction in CML
title_full_unstemmed MicroRNA signature refine response prediction in CML
title_sort MicroRNA signature refine response prediction in CML
author Alves, Raquel
author_facet Alves, Raquel
Gonçalves, Ana Cristina
Jorge, Joana
Marques, Gilberto
Luís, Dino
Ribeiro, André B.
Freitas-Tavares, Paulo
Oliveiros, Bárbara
Almeida, António M.
Sarmento-Ribeiro, Ana Bela
author_role author
author2 Gonçalves, Ana Cristina
Jorge, Joana
Marques, Gilberto
Luís, Dino
Ribeiro, André B.
Freitas-Tavares, Paulo
Oliveiros, Bárbara
Almeida, António M.
Sarmento-Ribeiro, Ana Bela
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Alves, Raquel
Gonçalves, Ana Cristina
Jorge, Joana
Marques, Gilberto
Luís, Dino
Ribeiro, André B.
Freitas-Tavares, Paulo
Oliveiros, Bárbara
Almeida, António M.
Sarmento-Ribeiro, Ana Bela
description microRNAs (miRs) dysregulation have emerged as a crucial step in tumorigenesis, being related with cancer development, progression and response to treatment. In chronic myeloid leukaemia (CML), the resistance to tyrosine kinase inhibitors (TKI) is responsible for treatment failure and could be linked to changes in miRs expression. This work aimed to correlate the expression levels of 3 miRs, miR-21, miR-26b and miR-451, with response to TKI treatment in CML patients. miR-451 levels at diagnosis were significantly higher in patients with optimal response after 6 and 12 months of therapy. Conversely, patients without optimal response had highest levels of miR-21. miR-21 and miR-451 appear to be good biomarkers of response, able to predict optimal TKI responders (p < 0.05). Using the combined profile of both miRs, we create a predictive model of optimal response after one year of treatment. This study highlights the role of miR-21 and miR-451 expression levels at diagnosis in predicting which patients achieve the optimal response.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
2019-12-01T00:00:00Z
2021-04-12T16:10:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/32503
url http://hdl.handle.net/10400.14/32503
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 2045-2322
10.1038/s41598-019-46132-9
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PMC6609611
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