Journal
CANCER CELL
Volume 9, Issue 4, Pages 313-325Publisher
CELL PRESS
DOI: 10.1016/j.ccr.2006.03.019
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Funding
- NCI NIH HHS [R01 CA93947, R01 CA099041, P50 CA93683, P01 CA78373, CA84313, P50 CA100707, CA55819] Funding Source: Medline
- NIA NIH HHS [K08AG0103] Funding Source: Medline
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To identify genetic events underlying the genesis and progression of multiple myeloma (MM), we conducted a high-resolution analysis of recurrent copy number alterations (CNAs) and expression profiles in a collection of MM cell lines and outcome-annotated clinical specimens. Attesting to the molecular heterogeneity of MM, unsupervised classification using non-negative matrix factorization (NMF) designed for array comparative genomic hybridization (aCGH) analysis uncovered distinct genomic subtypes. Additionally, we defined 87 discrete minimal common regions (MCRs) within recurrent and highly focal CNAs. Further integration with expression data generated a refined list of MM gene candidates residing within these MCRs, thereby providing a genomic framework for dissection of disease pathogenesis, improved clinical management, and initiation of targeted drug discovery for specific MM patients.
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