Ontology highlight
ABSTRACT:
SUBMITTER: Zhang H
PROVIDER: S-EPMC6444823 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Zhang Huihui H Zhang Ninghan N Wang Rong R Shao Tingting T Feng Yuan Y Yao Yao Y Wu Qingyun Q Zhu Shengyun S Cao Jiang J Zhang Huanxin H Li Zhenyu Z Liu Xuejiao X Niu Mingshan M Xu Kailin K
Journal of translational medicine 20190401 1
<h4>Background</h4>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.<h4>Methods</h4>In this study, we identify miRNAs that could predict clinical outcome in a heterogeneous AML population using TCGA dataset.<h4>Results</h4>We found that MiR-363 is a novel prognostic factor in AML patients undergoing chemotherapy. In multivariable analyses, high miR-363 remained ...[more]