204 results on '"Todisco, Gabriele"'
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2. m6A-driven SF3B1 translation control steers splicing to direct genome integrity and leukemogenesis
3. Clinical manifestations of clonal hematopoiesis: What has SF3B1-mutant MDS taught us?
4. Pseudouridine-modified tRNA fragments repress aberrant protein synthesis and predict leukaemic progression in myelodysplastic syndrome
5. Incidence and prognosis of clonal hematopoiesis in patients with chronic idiopathic neutropenia
6. Relationship between clone metrics and clinical outcome in clonal cytopenia
7. Co-mutation pattern, clonal hierarchy, and clone size concur to determine disease phenotype of SRSF2P95-mutated neoplasms
8. Early transfusion patterns improve the Molecular International Prognostic Scoring System (IPSS-M) prediction in myelodysplastic syndromes
9. Data from Erythroid Differentiation Enhances RNA Mis-Splicing in SF3B1-Mutant Myelodysplastic Syndromes with Ring Sideroblasts
10. Main supplemental file from Erythroid Differentiation Enhances RNA Mis-Splicing in SF3B1-Mutant Myelodysplastic Syndromes with Ring Sideroblasts
11. Data S5 from Erythroid Differentiation Enhances RNA Mis-Splicing in SF3B1-Mutant Myelodysplastic Syndromes with Ring Sideroblasts
12. Erythroid differentiation enhances RNA mis-splicing in SF3B1-mutant myelodysplastic syndromes with ring sideroblasts
13. Supplementary Figure S7 from Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
14. Supplementary Results S1 from Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
15. Supplementary Table S1 from Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
16. Data from Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
17. Clinical, histopathological and molecular characterization of hypoplastic myelodysplastic syndrome
18. Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
19. Clinical significance of somatic mutation in unexplained blood cytopenia
20. Therapy-related myelofibrosis does not appear to exist
21. Erythroid differentiation intensifies RNA mis-splicing inSF3B1-mutant myelodysplastic syndromes with ring sideroblasts
22. Supplementary Figures S1-S11 from ZBTB33 Is Mutated in Clonal Hematopoiesis and Myelodysplastic Syndromes and Impacts RNA Splicing
23. Data from ZBTB33 Is Mutated in Clonal Hematopoiesis and Myelodysplastic Syndromes and Impacts RNA Splicing
24. Supplementary Tables S1-S19 from ZBTB33 Is Mutated in Clonal Hematopoiesis and Myelodysplastic Syndromes and Impacts RNA Splicing
25. Transfusion Patterns during Early Follow-up Predict Overall Survival Independently of IPSS-M in Patients with Myelodysplastic Syndromes
26. Clonal Trajectories and Therapeutic Targeting of High-Risk SF3B1-Mutant Myelodysplastic Syndromes
27. Transfusion Patterns during Early Follow-up Predict Overall Survival Independently of IPSS-M in Patients with Myelodysplastic Syndromes
28. Deconvolution of the hematopoietic stem cell microenvironment reveals a high degree of specialization and conservation
29. Co-mutation pattern, clonal hierarchy, and clone size concur to determine disease phenotype of SRSF2 P95-mutated neoplasms
30. Whole Transcriptome Analysis Identifies Distinct Gene Expression Profiles between SF3B1mut and SF3B1 wt Myelodysplastic Syndrome with Ring Sideroblasts
31. Integrative Analysis of Primary SF3B1 mt Ring Sideroblasts Provides Fundamental Insights into MDS-RS Pathogenesis and Dyserythropoiesis
32. Deep Deconvolution of the Hematopoietic Stem Cell Regulatory Microenvironment Reveals a High Degree of Specialization and Conservation between Mouse and Human
33. Modeling Clonal Progression in SF3B1-Mutant Myelodysplastic Syndrome
34. Clonal hematopoiesis and myeloid malignancies
35. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS)
36. Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing
37. Gut Microbial Dysbiosis in Myeloid Neoplasms: Correlations with Clinical and Genomic Features
38. Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes
39. Molecular Classification of Chronic Myelomonocytic Leukemia: Results of the Analysis of an International Cohort of 2,471 Patients
40. Co-mutation pattern, clonal hierarchy, and clone size concur to determine disease phenotype of SRSF2P95-mutated neoplasms
41. SRSF2 Mutations Identify a Distinct Subtype of Myeloid Neoplasm Across Myelodysplastic Syndromes and Acute Myeloid Leukemia
42. Predictive Value of Mutation Analysis in the Diagnostic Approach to Patients with Unexplained Cytopenia
43. Prognostic Score for Adults with Acute Myeloid Leukemia in First Complete Remission
44. Chronic lymphocytic leukemia and myeloproliferative neoplasms concurrently diagnosed: clinical and biological characteristics
45. Updated definition of cure in adult patients with non-APL acute myeloid leukemia
46. Prevalence of Clonal Hematopoiesis and Mutation Patterns in Unexplained Anemia of Community-Dwelling Elderly Individuals: A Case-Control Study
47. Hypoplastic Myelodysplastic Syndrome: Clinical, Histopathological and Molecular Characterization
48. Relationships between occurrence of chills and clinical outcome during NGR-hTNF therapy.
49. Infusion-related reactions (IRR) during NGR-hTNF therapy as potential predictors of clinical outcome.
50. Relationships of peripheral blood lymphocyte counts (PBLC) with antitumor activity of NGR-hTNF given in combination with chemotherapy (CT).
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