Publikationen, an denen er mitarbeitet JUAN JOSÉ LAHUERTA PALACIOS (90)

2024

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

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

  2. The genomic profiling of high-risk smoldering myeloma patients treated with an intensive strategy unveils potential markers of resistance and progression

    Blood cancer journal, Vol. 14, Núm. 1, pp. 74

2023

  1. AL Amyloidosis and Multiple Myeloma: A Complex Scenario in Which Cardiac Involvement Remains the Key Prognostic Factor

    Life, Vol. 13, Núm. 7

  2. Cell Count Differentials by Cytomorphology and Next-Generation Flow Cytometry in Bone Marrow Aspirate: An Evidence-Based Approach

    Diagnostics, Vol. 13, Núm. 6

  3. Definition and Clinical Significance of the Monoclonal Gammopathy of Undetermined Significance-Like Phenotype in Patients With Monoclonal Gammopathies

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology, Vol. 41, Núm. 16, pp. 3019-3031

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

    Nature Communications, Vol. 14, Núm. 1

  5. Lenalidomide and dexamethasone maintenance with or without ixazomib, tailored by residual disease status in myeloma

    Blood, Vol. 142, Núm. 18, pp. 1518-1528

  6. Randomized phase II study of weekly carfilzomib 70 mg/m2 and dexamethasone with or without cyclophosphamide in relapsed and/or refractory multiple myeloma patients

    Haematologica, Vol. 108, Núm. 10, pp. 2753-2763

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. A simple score to predict early severe infections in patients with newly diagnosed multiple myeloma

    Blood cancer journal, Vol. 12, Núm. 4, pp. 68

  3. 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

  4. Expression of p53 protein isoforms predicts survival in patients with multiple myeloma

    American Journal of Hematology, Vol. 97, Núm. 6, pp. 700-710

  5. Mass spectrometry vs immunofixation for treatment monitoring in multiple myeloma

    Blood Advances, Vol. 6, Núm. 11, pp. 3234-3239

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

    Cancers, Vol. 14, Núm. 20

  7. 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. Filanesib in combination with pomalidomide and dexamethasone in refractory MM patients: safety and efficacy, and association with alpha 1-acid glycoprotein (AAG) levels. Phase Ib/II Pomdefil clinical trial conducted by the Spanish MM group

    British Journal of Haematology, Vol. 192, Núm. 3, pp. 522-530

  3. Immunogenetic characterization of clonal plasma cells in systemic light-chain amyloidosis

    Leukemia, Vol. 35, Núm. 1, pp. 245-249

  4. Reference values to assess hemodilution and warn of potential false-negative minimal residual disease results in myeloma

    Cancers, Vol. 13, Núm. 19

  5. The current role of the heavy/light chain assay in the diagnosis, prognosis and monitoring of multiple myeloma: An evidence-based approach

    Diagnostics, Vol. 11, Núm. 11