Manuel Mateo
Pérez Encinas
Hospital Universitario La Fe
Valencia, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario La Fe (34)
2024
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Evolving patterns and clinical outcome of genetic studies performed at diagnosis in acute myeloid leukemia patients: Real life data from the PETHEMA Registry
Cancer, Vol. 130, Núm. 20, pp. 3436-3451
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Impact of somatic gene mutations on the risk of thrombosis in myelofibrosis
Leukemia
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Integrating AIPSS-MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis
HemaSphere
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Outcomes after intensive chemotherapy for secondary and myeloid-related changes acute myeloid leukemia patients aged 60 to 75 years old: a retrospective analysis from the PETHEMA registry
Haematologica, Vol. 109, Núm. 1, pp. 115-128
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The prognostic impact of non-driver gene mutations and variant allele frequency in primary myelofibrosis
American Journal of Hematology
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Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification
British Journal of Haematology, Vol. 204, Núm. 4, pp. 1529-1535
2023
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Application of IPSET-Thrombosis in 1366 Patients Prospectively Followed from the Spanish Registry of Essential Thrombocythemia
HemaSphere, Vol. 7, Núm. 8, pp. E936
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CNL and aCML should be considered as a single entity based on molecular profiles and outcomes
Blood Advances, Vol. 7, Núm. 9, pp. 1672-1681
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Clinical outcomes after CPX-351 in patients with high-risk acute myeloid leukemia: A comparison with a matched cohort from the Spanish PETHEMA registry
Cancer Medicine, Vol. 12, Núm. 14, pp. 14892-14901
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Corrigendum: Evaluation of the Stellae-123 prognostic gene expression signature in acute myeloid leukemia(Front. Oncol., (2022), 12, (968340), 10.3389/fonc.2022.968340)
Frontiers in Oncology
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Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes
HemaSphere, Vol. 7, Núm. 10, pp. E961
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Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis
HemaSphere, Vol. 7, Núm. 1, pp. E818
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Toxicity of Asciminib in Real Clinical Practice: Analysis of Side Effects and Cross-Toxicity with Tyrosine Kinase Inhibitors
Cancers, Vol. 15, Núm. 4
2022
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Azacitidine vs. Decitabine in Unfit Newly Diagnosed Acute Myeloid Leukemia Patients: Results from the PETHEMA Registry
Cancers, Vol. 14, Núm. 9
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Characteristics and Outcomes of Adult Patients in the PETHEMA Registry with Relapsed or Refractory FLT3-ITD Mutation-Positive Acute Myeloid Leukemia
Cancers, Vol. 14, Núm. 11
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Evaluation of the Stellae-123 prognostic gene expression signature in acute myeloid leukemia
Frontiers in Oncology, Vol. 12
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Predictors of thrombosis and bleeding in 1613 myelofibrosis patients from the Spanish Registry of Myelofibrosis
British Journal of Haematology, Vol. 199, Núm. 4, pp. 529-538
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Real-life analysis on safety and efficacy of asciminib for ponatinib pretreated patients with chronic myeloid leukemia
Annals of Hematology, Vol. 101, Núm. 10, pp. 2263-2270
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Use of Venetoclax in Patients with Relapsed or Refractory Acute Myeloid Leukemia: The PETHEMA Registry Experience
Cancers, Vol. 14, Núm. 7
2021
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A phase 3 trial of azacitidine versus a semi-intensive fludarabine and cytarabine schedule in older patients with untreated acute myeloid leukemia
Cancer, Vol. 127, Núm. 12, pp. 2003-2014