Genomic Classification and Individualized Prognosis in Multiple Myeloma
University of Miami · Sylvester Comprehensive Cancer Center · +21 more institutions
Abstract
PURPOSE Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. METHODS To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. RESULTS Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression–based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous…
Citation impact
- FWCI
- 47.16
- Percentile
- 100%
- References
- 48
Authors
37- FMFrancesco MauraCorresponding
University of Miami, Sylvester Comprehensive Cancer Center
- ARArjun Raj Rajanna
University of Miami, Sylvester Comprehensive Cancer Center
- BZBachisio Ziccheddu
University of Miami, Sylvester Comprehensive Cancer Center
- AMAlexandra M. Poos
German Cancer Research Center, Heidelberg University, University Hospital Heidelberg
- ADAndriy Derkach
Memorial Sloan Kettering Cancer Center
Topics & keywords
- Medicine
- Multiple myeloma
- Oncology
- Transplantation
- Internal medicine
- Autologous stem-cell transplantation
- Bioinformatics
- Biology