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Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted Treatment
被引:8
作者:
Cerchione, Claudio
[1
]
Usmani, Saad Z.
[2
]
Stewart, A. Keith
[3
]
Kaiser, Martin
[4
,5
]
Rasche, Leo
[6
]
Kortuem, Martin
[6
]
Mateos, Maria-Victoria
[7
]
Spencer, Andrew
[8
]
Sonneveld, Pieter
[9
]
Anderson, Kenneth C.
[10
]
机构:
[1] IRCCS Ist Sci Romagnolo Studio Tumori IRST Dino A, Hematol Unit, Meldola, Italy
[2] Mem Sloan Kettering Canc Ctr, Div Hematol Malignancies, 1275 York Ave, New York, NY 10021 USA
[3] Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[4] Inst Canc Res, Div Mol Pathol, London, England
[5] Royal Marsden Hosp, Dept Haematol, London, England
[6] Univ Hosp Wurzburg, Dept Internal Med 2, Wurzburg, Germany
[7] Univ Hosp Salamanca, Dept Hematol, Salamanca, Spain
[8] Monash Univ, Alfred Hosp, Malignant Haematol & Stem Cell Transplantat Serv, Melbourne, Vic, Australia
[9] Erasmus MC Canc Inst Rotterdam, Dept Hematol, Rotterdam, Netherlands
[10] Dana Farber Canc Inst, Jerome Lipper Multiple Myeloma Ctr, Dept Med Oncol, Boston, MA 02115 USA
关键词:
multiple myeloma;
gene expression profiling (GEP);
risk-adapted treatment;
novel agents;
SKY92;
risk stratification;
INTERNATIONAL STAGING SYSTEM;
PROGNOSTIC-FACTOR;
SERUM BETA-2-MICROGLOBULIN;
INTERGROUPE FRANCOPHONE;
SURVIVAL;
SKY92;
ISS;
STRATIFICATION;
ABNORMALITIES;
VALIDATION;
D O I:
10.3389/fonc.2022.820768
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Multiple myeloma is a blood cancer characterized by clonal proliferation of plasma cells in the bone marrow. In recent years, several new drugs have been added to the therapeutic landscape of multiple myeloma, which have contributed to increased survival rates. However, while the use of therapeutics has evolved, there is still a group of high-risk patients who do not benefit from current treatment strategies. Risk stratification and risk-adapted treatment are crucial to identify the group of patients with urgent need for novel therapies. Gene expression profiling has been introduced as a tool for risk stratification in multiple myeloma based on the genetic make-up of myeloma cells. In this review we discuss the challenge of defining the high-risk multiple myeloma patient. We focus on the standardized analysis of myeloma cancer cells by gene expression profiling and describe how gene expression profiling provides additional insights for optimal risk-adapted treatment of patients suffering from multiple myeloma.
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页数:10
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