María Jose Calasanz Abínzano-rekin lankidetzan egindako argitalpenak (10)

2024

  1. Predictors of unsustained measurable residual disease negativity in transplant-eligible patients with multiple myeloma

    Blood, Vol. 143, Núm. 7, pp. 597-603

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. Circulating Tumor Cells for the Staging of Patients With Newly Diagnosed Transplant-Eligible Multiple Myeloma

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology, Vol. 40, Núm. 27, pp. 3151-3161

  3. NGS-Based Molecular Karyotyping of Multiple Myeloma: Results from the GEM12 Clinical Trial

    Cancers, Vol. 14, Núm. 20

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

    Blood, Vol. 137, Núm. 1, pp. 49-60

  2. Lenalidomide and dexamethasone with or without clarithromycin in patients with multiple myeloma ineligible for autologous transplant: a randomized trial

    Blood Cancer Journal, Vol. 11, Núm. 5

2020

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

    Blood, Vol. 135, Núm. 26, pp. 2375-2387

  2. Measurable Residual Disease by Next-Generation Flow Cytometry in Multiple Myeloma

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology, Vol. 38, Núm. 8, pp. 784-792

  3. Molecular profiling of immunoglobulin heavy-chain gene rearrangements unveils new potential prognostic markers for multiple myeloma patients

    Blood Cancer Journal, Vol. 10, Núm. 2