A 3-microRNA scoring system for prognostication in de novo acute myeloid leukemia patients
Journal
Leukemia
Journal Volume
29
Journal Issue
5
Pages
1051
Date Issued
2015-05-11
Author(s)
Abstract
As a highly heterogeneous disease, acute myeloid leukemia (AML) needs fine risk stratification to get an optimal outcome of patients. MicroRNAs have florid biological functions and have critical roles in the pathogenesis and prognosis in AML. Expression levels of some single microRNAs are influential for prognosis, but a system integrating several together and considering the weight of each should be more powerful. We thus analyzed the clinical, genetic and microRNA profiling data of 138 de novo AML patients of our institute. By multivariate analysis, we identified that high expression of hsa-miR-9-5p and hsa-miR-155-5p were independent poor prognostic factors, whereas that of hsa-miR-203 had a trend to be a favorable factor. We constructed a scoring system from expression of these three microRNAs by considering the weight of each. The scores correlated with distinct clinical and biological features and outperformed single microRNA expression in prognostication. In both ours and another validation cohort, higher scores were associated with shorter overall survival, independent of other well-known prognostic factors. By analyzing the mRNA expression profiles, we sorted out several cancer-related pathways highly correlated with the microRNA prognostic signature. We conclude that this 3-microRNA scoring system is simple and powerful for risk stratification of de novo AML patients. ? 2015 Macmillan Publishers Limited.
SDGs
Other Subjects
Flt3 ligand; homeodomain protein; microRNA; microRNA 125b; microRNA 128; microRNA 146a; microRNA 155 5p; microRNA 181a; microRNA 196b; microRNA 203; microRNA 222; microRNA 224; microRNA 339 3p; microRNA 9 5p; mixed lineage leukemia protein; transcription factor RUNX1; unclassified drug; microRNA; MIRN155 microRNA, human; MIRN203 microRNA, human; acute myeloblastic leukemia; adolescent; adult; age; aged; Article; cancer patient; cancer prognosis; cancer risk; cancer survival; controlled study; female; gene expression; gene mutation; high risk population; human; human cell; human tissue; leukocyte count; major clinical study; male; microribonucleic acid scoring system; mRNA expression assay; overall survival; priority journal; real time polymerase chain reaction; scoring system; survival prediction; thrombocyte count; chromosome aberration; cohort analysis; cytogenetics; gene expression profiling; gene expression regulation; Leukemia, Myeloid, Acute; metabolism; microarray analysis; middle aged; multivariate analysis; nucleotide sequence; prognosis; proportional hazards model; regression analysis; very elderly; young adult; Adolescent; Adult; Aged; Aged, 80 and over; Chromosome Aberrations; Cohort Studies; Cytogenetics; DNA Mutational Analysis; Female; Gene Expression Profiling; Gene Expression Regulation, Leukemic; Humans; Leukemia, Myeloid, Acute; Male; Microarray Analysis; MicroRNAs; Middle Aged; Multivariate Analysis; Prognosis; Proportional Hazards Models; Real-Time Polymerase Chain Reaction; Regression Analysis; Young Adult
Publisher
Nature Publishing Group
Type
journal article