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Gene mutational pattern and expression level in 560 acute myeloid leukemia patients and their clinical relevance.

Authors :
Yong-Mei Zhu
Pan-Pan Wang
Jin-Yan Huang
Yun-Shuo Chen
Bing Chen
Yu-Jun Dai
Han Yan
Yi Hu
Wen-Yan Cheng
Ting-Ting Ma
Sai-Juan Chen
Yang Shen
Zhu, Yong-Mei
Wang, Pan-Pan
Huang, Jin-Yan
Chen, Yun-Shuo
Chen, Bing
Dai, Yu-Jun
Yan, Han
Hu, Yi
Source :
Journal of Translational Medicine; 8/22/2017, Vol. 15, p1-12, 12p
Publication Year :
2017

Abstract

<bold>Background: </bold>Cytogenetic aberrations and gene mutations have long been regarded as independent prognostic markers in AML, both of which can lead to misexpression of some key genes related to hematopoiesis. It is believed that the expression level of the key genes is associated with the treatment outcome of AML.<bold>Methods: </bold>In this study, we analyzed the clinical features and molecular aberrations of 560 newly diagnosed non-M3 AML patients, including mutational status of CEBPA, NPM1, FLT3, C-KIT, NRAS, WT1, DNMT3A, MLL-PTD and IDH1/2, as well as expression levels of MECOM, ERG, GATA2, WT1, BAALC, MEIS1 and SPI1.<bold>Results: </bold>Certain gene expression levels were associated with the cytogenetic aberration of the disease, especially for MECOM, MEIS1 and BAALC. FLT3, C-KIT and NRAS mutations contained conversed expression profile regarding MEIS1, WT1, GATA2 and BAALC expression, respectively. FLT3, DNMT3A, NPM1 and biallelic CEBPA represented the mutations associated with the prognosis of AML in our group. Higher MECOM and MEIS1 gene expression levels showed a significant impact on complete remission (CR) rate, disease free survival (DFS) and overall survival (OS) both in univariate and multivariate analysis, respectively; and an additive effect could be observed. By systematically integrating gene mutational status results and gene expression profile, we could establish a more refined system to precisely subdivide AML patients into distinct prognostic groups.<bold>Conclusions: </bold>Gene expression abnormalities contained important biological and clinical informations, and could be integrated into current AML stratification system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14795876
Volume :
15
Database :
Complementary Index
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
124771109
Full Text :
https://doi.org/10.1186/s12967-017-1279-4