Gene expression profiling as a prognostic tool in multiple myeloma

作     者：Harmony Black Siobhan Glavey 

作者机构：Department of HaematologyBeaumont HospitalDublin D09 V2N0Ireland Department of PathologyRoyal College of Surgeons in IrelandDublin D02 YN77Ireland 

出 版 物：《Cancer Drug Resistance》 (癌症耐药（英文）)

年 卷 期：2021年第4卷第4期

页      面：1008-1018页

学科分类：1007[医学-药学(可授医学、理学学位)] 1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：Black H and Glavey S are conducting research financially supported by Skyline Dx 

主　　题：Multiple myeloma gene expression profiling prognostication risk stratification risk-adapted therapies SKY92 drug resistance 

摘      要：Multiple myeloma(MM)is an aggressive plasma cell malignancy with high degrees of variability in outcome,some patients experience long remissions,whilst others survive less than two years from *** refractoriness and relapse remain challenges in MM management,and there is a need for improved prognostication and targeted therapies to improve overall survival(OS).The past decade has seen a surge in gene expression profiling(GEP)studies which have elucidated the molecular landscape of MM and led to the identification of novel gene signatures that predict OS and outperform current clinical *** this review,we discuss the limitations of current prognostic tools and the emerging role of GEP in diagnostics and in the development of personalised medicine approaches to combat drug resistance.