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1. Outcomes of patients with multiple myeloma refractory to standard dose vs low dose lenalidomide

3. Muscle and fat composition in patients with newly diagnosed multiple myeloma

4. Comparison of daratumumab-based regimens as second-line therapy in relapsed/refractory multiple myeloma

5. Conditional survival in multiple myeloma and impact of prognostic factors over time

6. MicroRNA and long non-coding RNA analysis in IgM-monoclonal gammopathies reveals epigenetic influence on cellular functions and oncogenesis

7. Artificial intelligence-enabled screening strategy for drug repurposing in monoclonal gammopathy of undetermined significance

8. Defining drug/drug class refractoriness vs lines of therapy in relapsed/refractory multiple myeloma

9. Second- and third-line treatment strategies in multiple myeloma: a referral-center experience

12. Second symptomatic COVID-19 infections in patients with an underlying monoclonal gammopathy

13. Body mass index associated with monoclonal gammopathy of undetermined significance (MGUS) progression in Olmsted County, Minnesota

14. A simple additive staging system for newly diagnosed multiple myeloma

15. Assessing the prognostic utility of smoldering multiple myeloma risk stratification scores applied serially post diagnosis

16. Hypovitaminosis D Is Prevalent in Patients With Renal AL Amyloidosis and Associated With Renal Outcome

17. MASS-FIX for the detection of monoclonal proteins and light chain N-glycosylation in routine clinical practice: a cross-sectional study of 6315 patients

18. Correlation between urine ACR and 24-h proteinuria in a real-world cohort of systemic AL amyloidosis patients

19. Impact of acquired del(17p) in multiple myeloma

20. Correction: MASS-FIX for the detection of monoclonal proteins and light chain N-glycosylation in routine clinical practice: a cross-sectional study of 6315 patients

21. Immunoparesis status in immunoglobulin light chain amyloidosis at diagnosis affects response and survival by regimen type

22. Schnitzler syndrome: an under-diagnosed clinical entity

24. Translocation t(11;14) and survival of patients with light chain (AL) amyloidosis

25. Long-term risk of myelodysplasia in melphalan-treated patients with immunoglobulin light-chain amyloidosis

26. Outcomes after biochemical or clinical progression in patients with multiple myeloma

27. Thrombosis in multiple myeloma: Risk estimation by induction regimen and association with overall survival

28. Survival trends in young patients with Waldenström macroglobulinemia: Over five decades of experience

29. New perspectives on the dynamics of the adoption triangle using biographical, literary and psychoanalytic sources

30. Sarcopenia identified by computed tomography imaging using a deep learning–based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma

31. Risk factors for severe infection and mortality in COVID-19 and monoclonal gammopathy of undetermined significance

33. Risk factors for severe infection and mortality In patients with <scp>COVID</scp> ‐19 in patients with multiple myeloma and <scp>AL</scp> amyloidosis

34. Insurance-based disparities impact survival outcomes in Waldenström macroglobulinemia within the United States

35. Supplementary Figure 2 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

36. Data from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

37. Supplementary Data 1 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

38. Supplementary Figure 8 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

39. Supplementary Figure 4 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

40. Supplementary Figure 6 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

41. Supplementary Figure 5 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

42. Supplementary Figure 3 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

43. Supplementary Figure 9 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

44. Supplementary Figure 7 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

45. Evidence Supporting Light Chain Cast Nephropathy As a Myeloma Defining Event

46. Muscle and Fat Composition in Patients with Newly Diagnosed Multiple Myeloma

47. Patients with Monoclonal Gammopathy Have a High Rate of Second Symptomatic COVID-19 Infection Even after a Prior COVID-19 Infection and Vaccination

48. Detection of Plasma Cell Disorders by Mass Spectrometry: A Comprehensive Review of 19,523 Cases

50. Family history of plasma cell disorders is associated with improved survival in MGUS, multiple myeloma, and systemic AL amyloidosis

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