All Stories

  1. A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma
  2. B-cell malignancies: capture-sequencing strategies for identification of gene rearrangements and translocations into immunoglobulin gene loci
  3. A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue
  4. Translocations at 8q24 juxtapose MYC with genes that harbor superenhancers resulting in overexpression and poor prognosis in myeloma patients
  5. Single-cell genetic analysis reveals the composition of initiating clones and phylogenetic patterns of branching and parallel evolution in myeloma
  6. Intraclonal heterogeneity is a critical early event in the development of myeloma and precedes the development of clinical symptoms
  7. Identification of a novel t(7;14) translocation in multiple myeloma resulting in overexpression of EGFR
  8. Improved risk stratification in myeloma using a microRNA‐based classifier
  9. Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma
  10. MMSET is the key molecular target in t(4;14) myeloma
  11. Characterization of IGH locus breakpoints in multiple myeloma indicates a subset of translocations appear to occur in pregerminal center B cells
  12. Characterization of a Novel Mouse Model of Multiple Myeloma and Its Use in Preclinical Therapeutic Assessment
  13. A TC classification-based predictor for multiple myeloma using multiplexed real-time quantitative PCR
  14. Intraclonal heterogeneity and distinct molecular mechanisms characterize the development of t(4;14) and t(11;14) myeloma
  15. The genetic architecture of multiple myeloma
  16. Genes with a spike expression are clustered in chromosome (sub)bands and spike (sub)bands have a powerful prognostic value in patients with multiple myeloma
  17. Mapping of Chromosome 1p Deletions in Myeloma Identifies FAM46C at 1p12 and CDKN2C at 1p32.3 as Being Genes in Regions Associated with Adverse Survival
  18. The Reconstruction of Transcriptional Networks Reveals Critical Genes with Implications for Clinical Outcome of Multiple Myeloma
  19. A Gene Expression-Based Predictor for Myeloma Patients at High Risk of Developing Bone Disease on Bisphosphonate Treatment
  20. A novel prognostic model in myeloma based on co-segregating adverse FISH lesions and the ISS: analysis of patients treated in the MRC Myeloma IX trial
  21. The clinical impact and molecular biology of del(17p) in multiple myeloma treated with conventional or thalidomide‐based therapy
  22. Gender Disparities in the Tumor Genetics and Clinical Outcome of Multiple Myeloma
  23. Could DNA methylation become a useful measure for multiple myeloma prognoses?
  24. Genetic Factors Underlying the Risk of Thalidomide-Related Neuropathy in Patients With Multiple Myeloma
  25. Aberrant global methylation patterns affect the molecular pathogenesis and prognosis of multiple myeloma
  26. High expression levels of the mammalian target of rapamycin inhibitorDEPTORare predictive of response to thalidomide in myeloma
  27. A compendium of myeloma-associated chromosomal copy number abnormalities and their prognostic value
  28. XBP1s levels are implicated in the biology and outcome of myeloma mediating different clinical outcomes to thalidomide-based treatments
  29. Abstract 4737: Genetic determinants associated with multiple myeloma risk in three large population sets
  30. Homozygous Deletion Mapping in Myeloma Samples Identifies Genes and an Expression Signature Relevant to Pathogenesis and Outcome
  31. Aminopeptidase inhibition as a targeted treatment strategy in myeloma
  32. B455 A Molecular Characterization of 17p Deletion in Myeloma, Related to Maintenance Thalidomide Outcome
  33. MMSET deregulation affects cell cycle progression and adhesion regulons in t(4;14) myeloma plasma cells
  34. Deletions of CDKN2C in Multiple Myeloma: Biological and Clinical Implications
  35. Gene mapping and expression analysis of 16q loss of heterozygosity identifies WWOX and CYLD as being important in determining clinical outcome in multiple myeloma
  36. Use of Single Nucleotide Polymorphism–Based Mapping Arrays to Detect Copy Number Changes and Loss of Heterozygosity in Multiple Myeloma
  37. Integration of global SNP-based mapping and expression arrays reveals key regions, mechanisms, and genes important in the pathogenesis of multiple myeloma