Publicacións (34) Publicacións de Adrián Mosquera Orgueira

2024

  1. Integrating AIPSS-MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis

    HemaSphere

  2. The prognostic impact of non-driver gene mutations and variant allele frequency in primary myelofibrosis

    American Journal of Hematology

  3. 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

  1. A prognostic model based on gene expression parameters predicts a better response to bortezomib-containing immunochemotherapy in diffuse large B-cell lymphoma

    Frontiers in Oncology, Vol. 13

  2. AIPSS-MF machine learning prognostic score validation in a cohort of myelofibrosis patients treated with ruxolitinib

    Cancer Reports, Vol. 6, Núm. 10

  3. 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

  4. Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes

    HemaSphere, Vol. 7, Núm. 10, pp. E961

  5. Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis

    HemaSphere, Vol. 7, Núm. 1, pp. E818

  6. The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas

    Frontiers in Oncology, Vol. 13

2022

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

    Clinical cancer research : an official journal of the American Association for Cancer Research

  2. Erratum: Correction: Gene expression profiling identifies FLT3 mutation-like cases in wild-type FLT3 acute myeloid leukemia (PloS one (2021) 16 2 (e0247093))

    PloS one

  3. Erratum: Gene expression profiling identifies FLT3 mutation-like cases in wildtype FLT3 acute myeloid leukemia (PLoS ONE (2021) 16:2 (e0247093) DOI: 10.1371/journal.pone.0247093)

    PLoS ONE

  4. Evaluation of the Stellae-123 prognostic gene expression signature in acute myeloid leukemia

    Frontiers in Oncology, Vol. 12

  5. Immune Checkpoint Inhibitors in Acute Myeloid Leukemia: A Meta-Analysis

    Frontiers in Oncology, Vol. 12

  6. Prognostic Stratification of Diffuse Large B-cell Lymphoma Using Clinico-genomic Models: Validation and Improvement of the LymForest-25 Model

    HemaSphere, Vol. 6, Núm. 4

  7. Prognostic Stratification of Multiple Myeloma Using Clinicogenomic Models: Validation and Performance Analysis of the IAC-50 Model

    HemaSphere, Vol. 6, Núm. 8

  8. Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group

    Blood cancer journal, Vol. 12, Núm. 4, pp. 76

2021

  1. Detection of new drivers of frequent B-cell lymphoid neoplasms using an integrated analysis of whole genomes

    PloS one, Vol. 16, Núm. 5, pp. e0248886

  2. Gene expression profiling identifies FLT3 mutation-like cases in wild-type FLT3 acute myeloid leukemia

    PloS one, Vol. 16, Núm. 2, pp. e0247093

  3. Personalized Survival Prediction of Patients With Acute Myeloblastic Leukemia Using Gene Expression Profiling

    Frontiers in Oncology, Vol. 11