MiRNA expression as outcome predictor in pediatric AML: systematic evaluation of a new model.

IF 4.7 2区 医学 Q1 GENETICS & HEREDITY
Ivan Ellson, Jordi Martorell-Marugán, Pedro Carmona-Sáez, Verónica Ramos-Mejia
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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 pediatric AML and found 16 microRNAs and 4 microRNA signatures 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.

Abstract Image

作为小儿急性髓细胞白血病预后预测因子的 MiRNA 表达:对一种新模型的系统评估。
准确预测患者的预后对于优化治疗和改善小儿急性髓性白血病(AML)的预后至关重要。近年来,microRNAs 已成为一种有前景的预后标志物,越来越多的证据支持其潜在的预测价值。我们系统地回顾了以前分析微RNA表达作为小儿急性髓细胞白血病生存预测指标的所有研究,发现了以前提出的作为生存预测指标的16种微RNA和4种微RNA特征。然后,我们利用 TARGET 项目中 1414 名小儿 AML 患者的公共访问队列,使用基于 microRNA 表达的惩罚性套索 Cox 回归开发了一个新的预测模型。在此,我们提出了一种基于 37 个 microRNA 标志的新评分,该评分与 AML 相关,并且比以前基于 microRNA 的方法能更准确地预测生存率。
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来源期刊
NPJ Genomic Medicine
NPJ Genomic Medicine Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍: npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine. The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.
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