Journal of Clinical Oncology · 2015 · 564 citations · 48 references
MedicineMolecular GeneticsOncologyCancer GeneticsGenomicsMolecular OncologyCancer CytogeneticsCancer GenomicsCopy Number Variant AnalysisMolecular Tumor ProfilingNext-generation SequencingNext-generation Sequencing In OncologyCopy Number ChangesExome SequencingImmunoglobulin Heavy Chain LocusImmunoglobulin Light Chain LocusMutational Spectrum AnalysisRecurrent Copy Number AlterationsTranslocationsWhole Exome Sequencing Studies
PURPOSE: At the molecular level, myeloma is characterized by copy number abnormalities and recurrent translocations into the immunoglobulin heavy chain locus. Novel methods, such as massively parallel sequencing, have begun to describe the pattern of tumor-acquired mutations, but their clinical relevance has yet to be established. METHODS: We performed whole-exome sequencing for 463 patients who presented with myeloma and were enrolled onto the National Cancer Research Institute Myeloma XI trial, for whom complete molecular cytogenetic and clinical outcome data were available. RESULTS: We identified 15 significantly mutated genes: IRF4, KRAS, NRAS, MAX, HIST1H1E, RB1, EGR1, TP53, TRAF3, FAM46C, DIS3, BRAF, LTB, CYLD, and FGFR3. The mutational spectrum is dominated by mutations in the RAS (43%) and nuclear factor-κB (17%) pathways, but although they are prognostically neutral, they could be targeted therapeutically. Mutations in CCND1 and DNA repair pathway alterations (TP53, ATM, ATR, and ZNFHX4 mutations) are associated with a negative impact on survival. In contrast, those in IRF4 and EGR1 are associated with a favorable overall survival. We combined these novel mutation risk factors with the recurrent molecular adverse features and international staging system to generate an international staging system mutation score that can identify a high-risk population of patients who experience relapse and die prematurely. CONCLUSION: We have refined our understanding of genetic events in myeloma and identified clinically relevant mutations that may be used to better stratify patients at presentation.
48
Robert E. Kass, Adrian E. Raftery · Journal of the American Statistical Association · 1995 · 12.3K citations
Natural Sciences, Behavioral Sciences, Bayesian Biostatistics +11
International Staging System for Multiple Myeloma
Philip R. Greipp, Jesús F. San Miguel, Brian G.M. Durie et al. · Journal of Clinical Oncology · 2005 · 2.9K citations
Medicine, Hematology, Oncology +14
DELLY: structural variant discovery by integrated paired-end and split-read analysis
Tobias Rausch, Thomas Zichner, Andreas Schlattl et al. · Bioinformatics · 2012 · 2.7K citations · Full text
Implementing a Class of Permutation Tests: The<b>coin</b>Package
Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel et al. · Journal of Statistical Software · 2008 · 1.5K citations · Full text