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1. High level of circulating cell-free tumor DNA at diagnosis correlates with disease spreading and defines multiple myeloma patients with poor prognosis

2. Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features

3. High levels of CRBN isoform lacking IMiDs binding domain predicts for a worse response to IMiDs-based upfront therapy in newly diagnosed myeloma patients

4. Circulating Multiple Myeloma Cells (CMMCs) as Prognostic and Predictive Markers in Multiple Myeloma and Smouldering MM Patients.

5. Integrative analysis of the genomic and transcriptomic landscape of double-refractory multiple myeloma

6. Single-Cell DNA Sequencing Reveals an Evolutionary Pattern of CHIP in Transplant Eligible Multiple Myeloma Patients

8. P-370 CoMMsol: a machine learning model for outcome-specific copy number alterations' clonality cut-offs definition in multiple myeloma

9. OA-22 TiMMing: developing an innovative suite of bioinformatic tools to harmonize and track the origin of copy number alterations in the evolutionary history of multiple myeloma

10. P860: CIRCULATING MULTIPLE MYELOMA CELLS (CMMCS) AS PROGNOSTIC FACTOR AND MINIMAL RESIDUAL DISEASE MARKER IN MM AND SMOULDERING MM PATIENTS

11. Long term follow-up of humoral and cellular response to mRNA-based vaccines for SARS-CoV-2 in patients with active multiple myeloma

14. A Methodologically Updated De-Novo Extraction of Copy Number Signatures in Multiple Myeloma: Clinical Significance and Putative Aetiologies

16. Identification of a Maturation Plasma Cell Index through a Highly Sensitive Droplet Digital PCR Assay Gene Expression Signature Validation in Newly Diagnosed Multiple Myeloma Patients

17. The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases

18. P-077: Multiple myeloma genomic landscape explored by dimensional scaling technique highlights the presence of 1q&13+ patients with specific genomic, transcriptional and clinical features

19. Correlation between eight-gene expression profiling and response to therapy of newly diagnosed multiple myeloma patients treated with thalidomide–dexamethasone incorporated into double autologous transplantation

20. Droplet digital polymerase chain reaction for the assessment of disease burden in hairy cell leukemia

21. P-036: Implementation of IgH/k Next Generation Sequencing for Multiple Myeloma Minimal Residual Disease monitoring: advantages in patients’ management during daily clinical practice.

22. OAB-006: A novel algorithm to identify, characterize and define the prognostic impact of complex catastrophic events in Multiple Myeloma

23. OAB-059: Towards a comprehensive multimodal minimal residual disease assessment in multiple myeloma: the role of circulating cell-free DNA to define the extent of disease spreading

24. OAB-057: Temporal-weight estimation of the copy number alterations of of 1384 Multiple Myeloma patients defines an ancestrality index impacting patients survival

25. P-053: BoBafit: a Copy Number-clustering tool to refit and recalibrate the diploid region of Multiple Myeloma genomic profiles

26. Bortezomib- and thalidomide-induced peripheral neuropathy in multiple myeloma: clinical and molecular analyses of a phase 3 study

27. P-068 Implementation of next generation sequencing as best tool for routine evaluation of minimal residual disease in the daily practice of multiple myeloma patients

28. A real‐world efficacy and safety analysis of combined carfilzomib, lenalidomide, and dexamethasone (KRd) in relapsed/refractory multiple myeloma

29. Abstract 2700: Negative selective pressure exerted by maintenance therapy promotes the extinction of sub-clones carrying high-risk lesions in multiple myeloma

30. Disease-Specific Derangement of Circulating Endocannabinoids and N-Acylethanolamines in Myeloproliferative Neoplasms

32. Droplet digital polymerase chain reaction for the assessment of disease burden in hairy cell leukemia.

33. The Genomic and Transcriptomic Landscape of Double-Refractory Multiple Myeloma

34. Inter-Cell Networking Profiling Enables Comprehensive Characterization of Immune-Mediated Activity of Anti-CD38 Therapy through Ex-Vivo Analysis of Multiple Myeloma Patients

35. The Genomic and Transcriptomic Landscape of Double-Refractory Multiple Myeloma

36. Negative Selective Pressure Exerted By Maintenance Therapy Promotes the Extinction of Sub-Clones Carrying High-Risk Lesions in Multiple Myeloma

37. A Maturation Index Defines Newly Diagnosed Multiple Myeloma Patients with Advanced Immunophenotypic and Molecular Differentiation Profiles Associated with Poor Prognosis

38. VarianThinker: a classification method to confidently approach the mutation heterogeneity in Multiple Myeloma

39. Rare, but complex chromosomal rearrangements, defined "Chromoanagenesis”, caused by single-step or stepwise catastrophic genomic events, significantly impact on Multiple Myeloma patients

40. Analysis of the genomic and transcriptomic landscape of chemoresistant multiple myeloma

42. Abstract 470: Chromosomal instability and bad prognosis both connote a multiple myeloma (MM) sub-type carrying 13qCN loss and 1qCN gain

43. Abstract 473: Higher levels of genomic complexity correlates with an advanced plasma cell differentiation status in newly diagnosed multiple myeloma patients

44. A real‐world efficacy and safety analysis of combined carfilzomib, lenalidomide, and dexamethasone (KRd) in relapsed/refractory multiple myeloma.

46. Abstract 2176: Whole-genome analysis of CNAs identifies four main evolution trajectories in multiple myeloma (MM) patients front-line treated with PI-based regimens

47. Abstract 3387: The pliancy of plasma cell differentiation status conceals a gradient of chromosomal instability in newly diagnosed multiple myeloma patients

48. Abstract 3936: A branching evolution model at relapse characterizes multiple myeloma patients who responded to upfront combination therapy including new drugs

49. Abstract 1758: A more mature immunophenotypic makeup of multiple myeloma clone(s) at diagnosis correlates with a higher genomic instability

50. Evolutionary Fitness of Relapsed Multiple Myeloma Patients Who Responded to Upfront Combination Therapy Including New Drugs

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