@misc{10481/93960,
year = {2024},
month = {8},
url = {https://hdl.handle.net/10481/93960},
abstract = {Accurately predicting patient outcomes is essential for optimizing treatment and improving outcomes
in pediatric acute myeloid leukemia (AML). In recent years, microRNAs have emerged as a promising
prognostic marker, with a growing body of evidence supporting their potential predictive value. We
systematically reviewed all previous studies that have analyzed the expression of microRNAs as
predictors of survival in pediatricAMLand found 16 microRNAs and 4 microRNAsignatures previously
proposed as predictors of survival. We then used a public access cohort of 1414 pediatric AML
patients from the TARGET project to develop a new predictive model using penalized lasso Cox
regression based on microRNA expression. Here we propose a new score based on a 37-microRNA
signature that is associated with AML and is able to predict survival more accurately than previous
microRNA-based methods.},
organization = {Spanish Ministry of Science and
Innovation (PEJ2018-004549-A)},
organization = {Asociación “El Mundo de Namu”, Asociación Grupo Girasoles},
organization = {Asociación de Madres y Padres de Niños Oncológicos de
Granada (AUPA)},
publisher = {Springer Nature},
title = {MiRNA expression as outcome predictor in pediatric AML: systematic evaluation of a new model},
doi = {10.1038/s41525-024-00424-w},
author = {Ellson, Ivan and Martorell Marugán, Jordi and Carmona Sáez, Pedro and Ramos Mejía, Verónica},
}