TY - JOUR
T1 - MicroRNA signature refine response prediction in CML
AU - Alves, Raquel
AU - Gonçalves, Ana Cristina
AU - Jorge, Joana
AU - Marques, Gilberto
AU - Luís, Dino
AU - Ribeiro, André B.
AU - Freitas-Tavares, Paulo
AU - Oliveiros, Bárbara
AU - Almeida, António M.
AU - Sarmento-Ribeiro, Ana Bela
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068470311&partnerID=8YFLogxK
U2 - 10.1038/s41598-019-46132-9
DO - 10.1038/s41598-019-46132-9
M3 - Article
C2 - 31273251
AN - SCOPUS:85068470311
SN - 2045-2322
VL - 9
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 9666
ER -
