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MicroRNA signature refine response prediction in CML
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 linke...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609611/ https://www.ncbi.nlm.nih.gov/pubmed/31273251 http://dx.doi.org/10.1038/s41598-019-46132-9 |
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author | 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_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_sort | Alves, Raquel |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6609611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66096112019-07-14 MicroRNA signature refine response prediction in CML 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 Sci Rep Article 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. Nature Publishing Group UK 2019-07-04 /pmc/articles/PMC6609611/ /pubmed/31273251 http://dx.doi.org/10.1038/s41598-019-46132-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 MicroRNA signature refine response prediction in CML |
title | 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_short | MicroRNA signature refine response prediction in CML |
title_sort | microrna signature refine response prediction in cml |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609611/ https://www.ncbi.nlm.nih.gov/pubmed/31273251 http://dx.doi.org/10.1038/s41598-019-46132-9 |
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