Ontology highlight
ABSTRACT:
SUBMITTER: Niu M
PROVIDER: S-EPMC6798954 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Niu Mingshan M Zhang Ninghan N Wang Rong R Shao Tingting T Feng Yuan Y Shen Yangling Y Liu Xuejiao X Zhao Kai K Zhu Shengyun S Xu Linyan L Yao Yao Y Xu Kailin K
Frontiers in oncology 20191011
Acute myeloid leukemia (AML) requires refined risk stratification tools to drive decisions concerning effective therapeutic strategies. Here, genome-wide screening was carried out for identifying miRNA molecules capable of predicting treatment outcome in AML patients based on the TCGA dataset. We identified miR-340 as a prognostic factor for selecting treatment between chemotherapy and allogeneic transplantation (allo-HSCT). In multivariable analyses, low miR-340 expression independently predict ...[more]