Nature Communications (Jun 2022)
Genetic subtypes of smoldering multiple myeloma are associated with distinct pathogenic phenotypes and clinical outcomes
- Mark Bustoros,
- Shankara Anand,
- Romanos Sklavenitis-Pistofidis,
- Robert Redd,
- Eileen M. Boyle,
- Benny Zhitomirsky,
- Andrew J. Dunford,
- Yu-Tzu Tai,
- Selina J. Chavda,
- Cody Boehner,
- Carl Jannes Neuse,
- Mahshid Rahmat,
- Ankit Dutta,
- Tineke Casneuf,
- Raluca Verona,
- Efstathis Kastritis,
- Lorenzo Trippa,
- Chip Stewart,
- Brian A. Walker,
- Faith E. Davies,
- Meletios-Athanasios Dimopoulos,
- P. Leif Bergsagel,
- Kwee Yong,
- Gareth J. Morgan,
- François Aguet,
- Gad Getz,
- Irene M. Ghobrial
Affiliations
- Mark Bustoros
- Medical Oncology, Dana-Farber Cancer Center
- Shankara Anand
- Broad Institute of MIT & Harvard
- Romanos Sklavenitis-Pistofidis
- Medical Oncology, Dana-Farber Cancer Center
- Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute
- Eileen M. Boyle
- Perlmutter Cancer Center, NYU Langone Health
- Benny Zhitomirsky
- Broad Institute of MIT & Harvard
- Andrew J. Dunford
- Broad Institute of MIT & Harvard
- Yu-Tzu Tai
- Medical Oncology, Dana-Farber Cancer Center
- Selina J. Chavda
- Division of Hematology, University College London
- Cody Boehner
- Medical Oncology, Dana-Farber Cancer Center
- Carl Jannes Neuse
- Medical Oncology, Dana-Farber Cancer Center
- Mahshid Rahmat
- Medical Oncology, Dana-Farber Cancer Center
- Ankit Dutta
- Medical Oncology, Dana-Farber Cancer Center
- Tineke Casneuf
- Janssen Research and Development
- Raluca Verona
- Janssen Research and Development
- Efstathis Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens
- Lorenzo Trippa
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute
- Chip Stewart
- Broad Institute of MIT & Harvard
- Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University
- Faith E. Davies
- Perlmutter Cancer Center, NYU Langone Health
- Meletios-Athanasios Dimopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens
- P. Leif Bergsagel
- Division of Hematology, Mayo Clinic
- Kwee Yong
- Division of Hematology, University College London
- Gareth J. Morgan
- Perlmutter Cancer Center, NYU Langone Health
- François Aguet
- Broad Institute of MIT & Harvard
- Gad Getz
- Broad Institute of MIT & Harvard
- Irene M. Ghobrial
- Medical Oncology, Dana-Farber Cancer Center
- DOI
- https://doi.org/10.1038/s41467-022-30694-w
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 10
Abstract
Existing clinical models cannot fully capture smoldering multiple myeloma (SMM) heterogeneity. Here, integration of 42 genetic alterations from 214 SMM patients using an unsupervised binary matrix factorization clustering approach results in the identification of 6 distinct molecular and clinical subtypes.
