Incorporation of long non-coding RNA expression profile in the 2017 ELN risk classification can improve prognostic prediction of acute myeloid leukemia patients
Journal
EBioMedicine
Journal Volume
40
Date Issued
2019-02
Author(s)
Kuo, Yuan-Yeh
Chiu, Yu-Chiao
Tseng, Mei-Hsuan
Peng, Yen-Ling
Liu, Ming-Chih
Liu, Chia-Wen
Abstract
Expression of long non-coding RNAs (lncRNAs) has recently been recognized as a potential prognostic marker in acute myeloid leukemia (AML). However, it remains unclear whether incorporation of the lncRNAs expression in the 2017 European LeukemiaNet (ELN) risk classification can further improve the prognostic prediction.
Subjects
AML; Prognostication; Risk stratification; lncRNA
SDGs
Other Subjects
long untranslated RNA; messenger RNA; protein p53; long untranslated RNA; transcriptome; acute myeloid leukemia; adult; aged; allogeneic hematopoietic stem cell transplantation; Article; bioinformatics; cancer prognosis; clinical decision making; cytogenetics; disease free survival; female; fluorescence in situ hybridization; gene expression profiling; gene mutation; human; major clinical study; male; microarray analysis; middle aged; next generation sequencing; overall survival; predictive value; priority journal; scoring system; stratification; treatment outcome; very elderly; acute myeloid leukemia; adolescent; chromosome aberration; gene expression profiling; genetics; Kaplan Meier method; mortality; mutation; prognosis; proportional hazards model; risk assessment; young adult; Adolescent; Adult; Aged; Aged, 80 and over; Chromosome Aberrations; Female; Gene Expression Profiling; Humans; Kaplan-Meier Estimate; Leukemia, Myeloid, Acute; Male; Middle Aged; Mutation; Prognosis; Proportional Hazards Models; Risk Assessment; RNA, Long Noncoding; Transcriptome; Young Adult
Type
journal article