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1. Differences in subclinical atherosclerosis based on the genotype of patients with severe hypercholesterolemia

2. Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance

3. MicroRNAs as B-cell lymphoma biomarkers

4. Immunogenomic identification and characterization of granulocytic myeloid-derived suppressor cells in multiple myeloma

6. Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard and high risk myeloma

7. Biological and clinical significance of dysplastic hematopoiesis in patients with newly-diagnosed multiple myeloma

8. Biological and clinical signi fi cance of dysplastic hematopoiesis in patients with newly diagnosed multiple myeloma

12. PS1348 DETAILED PHENOTYPIC, MOLECULAR AND FUNCTIONAL PROFILING OF MYELOID DERIVED SUPPRESSOR CELLS (MDSCS) IN THE TUMOR IMMUNE MICRO-ENVIRONMENT (TIME) OF MULTIPLE MYELOMA (MM)

13. S121 SINGLE-CELL CHARACTERIZATION OF THE MULTIPLE MYELOMA (MM) IMMUNE MICROENVIRONMENT IDENTIFIES CD27- T CELLS AS POTENTIAL SOURCE OF TUMOR-REACTIVE LYMPHOCYTES

22. RENAL ARTERIAL EMBOLISATION IN NON-FUNCTIONING INTOLERATED KIDNEY GRAFT. OVER TEN YEARS' EXPERIENCE

23. 491 HER-2 EXPRESSION AND SECOND MESSENGERS IN TRANSITIONAL-CELL CARCINOMA OF THE UPPER UROTHELIUM. PROGNOSTIC IMPLICATIONS.

24. WATER TREATMENT PLANT FOR A ROLLING - MILL TRAIN.

27. STUDY OF THE CLINICAL RELEVANCE AND GENOMIC PROFILE OF MINIMAL RESIDUAL MULTIPLE MYELOMA DISEASE IN PATIENTS WITH STANDARD RISK AND HIGH CYTOGENETIC RISK

29. Reperfusion of Isolated Intestines in the Absence of Leucocytes Does not Avoid Mucosal Damage.

31. Transcriptional profiling of circulating tumor cells in multiple myeloma: a new model to understand disease dissemination

32. Biological and clinical significance of dysplastic hematopoiesis in patients with newly diagnosed multiple myeloma

34. Characterization of the Common Genetic Variation in the Spanish Population of Navarre.

35. Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance.

36. Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma.

37. An N-glycosylation hotspot in immunoglobulin κ light chains is associated with AL amyloidosis.

38. A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma.

39. [Anaemia prevalence in pregnant population].

40. Preneoplastic somatic mutations including MYD88 L265P in lymphoplasmacytic lymphoma.

41. Tumor cells in light-chain amyloidosis and myeloma show distinct transcriptional rewiring of normal plasma cell development.

42. Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma.

43. Identification of Recurrent Mutations in the microRNA-Binding Sites of B-Cell Lymphoma-Associated Genes in Follicular Lymphoma.

44. Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma.

45. The Urinary Transcriptome as a Source of Biomarkers for Prostate Cancer.

46. Transcriptional profiling of circulating tumor cells in multiple myeloma: a new model to understand disease dissemination.

47. Neoadjuvant nivolumab modifies the tumor immune microenvironment in resectable glioblastoma.

48. The Circulating Transcriptome as a Source of Biomarkers for Melanoma.

49. Mutational profiling can identify laryngeal dysplasia at risk of progression to invasive carcinoma.

50. Noncoding RNA Expression and Targeted Next-Generation Sequencing Distinguish Tubulocystic Renal Cell Carcinoma (TC-RCC) from Other Renal Neoplasms.

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