MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia.

Abstract

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 predicted reduced OS (HR = 2.07, P = 0.004) and EFS (HR = 1.909, P = 0.01) independent of other well-known prognostic factors. Meanwhile, allo-HSCT overcome deleterious outcomes related to low miR-340. Cases administered allo-HSCT showed markedly improved OS (HR = 0.316, P < 0.0001) and EFS (HR = 0.391, P = 0.002) in comparison with those receiving chemotherapy in the low miR-340 group. Gene expression assessment revealed that elevated miR-340 amounts were negatively correlated with HOXA/HOXB cluster levels, as well as the amounts of the HOX cofactor MEIS1. Strikingly, in silico analysis pointing to HOXA10, HOXB2, and MEIS1 as miR-340 targets. The miR-340 expression may help identify cases requiring strategies for selecting the optimal therapeutic option between chemotherapy and allo-HCST. AML cases showing low miR-340 levels should be strongly considered for early allo-HSCT treatment.

• Authors: Mingshan Niu, Ninghan Zhang, Rong Wang, Tingting Shao, Yuan Feng, Yangling Shen, Xuejiao Liu, Kai Zhao, Shengyun Zhu, Linyan Xu, Yao Yao, Kailin Xu
• Journal: Frontiers in oncology (Front Oncol) Vol. 9 Pg. 1058 ( 2019) ISSN: 2234-943X [Print] Switzerland
• PMID: 31681594 (Publication Type: Journal Article)
• Copyright: Copyright © 2019 Niu, Zhang, Wang, Shao, Feng, Shen, Liu, Zhao, Zhu, Xu, Yao and Xu.