Ontology highlight
ABSTRACT: Background
Acute myeloid leukemia (AML) is a highly heterogeneous malignancy with various outcomes, and therefore needs better risk stratification tools to help select optimal therapeutic options.Methods
In this study, we identify miRNAs that could predict clinical outcome in a heterogeneous AML population using TCGA dataset.Results
We found that MiR-363 is a novel prognostic factor in AML patients undergoing chemotherapy. In multivariable analyses, high miR-363 remained predictive for shorter OS (HR = 2.349, P = 0.012) and EFS (HR = 2.082, P = 0.001) independent of other well-known prognostic factors. More importantly, allogeneic hematopoietic stem cell transplantation (allo-HSCT) overcame the adverse outcomes related to high miR-363 expression. In gene expression
SUBMITTER: Zhang H
PROVIDER: S-EPMC6444823 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature