High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions

被引:62
作者
Hagen, Patrick [1 ]
Zhang, Jiwang [2 ,3 ,4 ]
Barton, Kevin [1 ]
机构
[1] Loyola Univ Med Ctr, Dept Hematol Oncol, Maywood, IL 60153 USA
[2] Loyola Univ Med Ctr, Dept Pathol, Maywood, IL 60153 USA
[3] Loyola Univ Med Ctr, Dept Radiat Oncol, Maywood, IL 60153 USA
[4] Loyola Univ Med Ctr, Oncol Inst, Dept Canc Biol, Cardinal Bernardin Canc Ctr, Maywood, IL 60153 USA
关键词
STEM-CELL TRANSPLANTATION; INTERNATIONAL STAGING SYSTEM; INDEPENDENT PROGNOSTIC-FACTOR; HIGH-DOSE THERAPY; GENE-EXPRESSION; EXTRAMEDULLARY DISEASE; EMISSION TOMOGRAPHY; POOR-PROGNOSIS; EARLY RELAPSE; DELETION; 17P;
D O I
10.1038/s41408-022-00679-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Multiple myeloma (MM) is an acquired malignant plasma cell disorder that develops late in life. Although progression free and overall survival has improved across all age, race, and ethnic groups, a subset of patients have suboptimal outcomes and are labeled as having high risk disease. A uniform approach to risk in NDMM remains elusive despite several validated risk stratification systems in clinical use. While we attempt to capture risk at diagnosis, the reality is that many important prognostic characteristics remain ill-defined as some patients relapse early who were defined as low risk based on their genomic profile at diagnosis. It is critical to establish a definition of high risk disease in order to move towards risk-adapted treatment approaches. Defining risk at diagnosis is important to both effectively design future clinical trials and guide which clinical data is needed in routine practice. The goal of this review paper is to summarize and compare the various established risk stratification systems, go beyond the R-ISS and international myeloma working group risk stratifications to evaluate specific molecular and cytogenetic abnormalities and how they impact prognosis independently. In addition, we explore the wealth of new genomic information from recent whole genome/exome sequencing as well as gene expression data and review known clinical factors affecting outcome such as disease burden and early relapse as well as patient related factors such as race. Finally, we provide an outlook on developing a new high risk model system and how we might make sense of co-occurrences, oncogenic dependencies, and mutually exclusive mutations.
引用
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页数:16
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