MicroRNA signature refine response prediction in CML
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , |
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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7160 |
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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 |
format |
article |
status_str |
publishedVersion |
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 |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 10.1038/s41598-019-46132-9 85068470311 PMC6609611 31273251 000474223600012 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131978682859520 |