Joaquín Martínez López-rekin lankidetzan egindako argitalpenak (32)

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. Quantification of cyclin D1 and D2 proteins in multiple myeloma identifies different expression patterns from those revealed by gene expression profiling

    Haematologica, Vol. 109, Núm. 3, pp. 877-887

  3. 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

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

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

  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

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. Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma

    Blood Cancer Journal, Vol. 10, Núm. 10

  3. 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

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

    Blood Cancer Journal, Vol. 10, Núm. 2

  5. Quantitative expression of Ikaros, IRF4, and PSMD10 proteins predicts survival in VRD-treated patients with multiple myeloma

    Blood Advances, Vol. 4, Núm. 23, pp. 6023-6033

2018

  1. A novel nano-immunoassay method for quantification of proteins from CD138-purified myeloma cells: Biological and clinical utility

    Haematologica, Vol. 103, Núm. 5, pp. 880-889

  2. Early myeloma-related death in elderly patients: development of a clinical prognostic score and evaluation of response sustainability role

    Leukemia, Vol. 32, Núm. 11, pp. 2427-2434

2017

  1. A Next-Generation Sequencing Strategy for Evaluating the Most Common Genetic Abnormalities in Multiple Myeloma

    Journal of Molecular Diagnostics, Vol. 19, Núm. 1, pp. 99-106

  2. Analytical and clinical validation of a novel in-house deep-sequencing method for minimal residual disease monitoring in a phase II trial for multiple myeloma

    Leukemia

  3. Depth of response in multiple myeloma: A pooled analysis of three PETHEMA/GEM clinical trials

    Journal of Clinical Oncology, Vol. 35, Núm. 25, pp. 2900-2910

  4. Differentiation stage of myeloma plasma cells: Biological and clinical significance

    Leukemia, Vol. 31, Núm. 2, pp. 382-392

2016

  1. Minimal residual disease monitoring and immune profiling in multiple myeloma in elderly patients

    Blood, Vol. 127, Núm. 25, pp. 3165-3174

  2. Phenotypic, transcriptomic, and genomic features of clonal plasma cells in light-chain amyloidosis

    Blood, Vol. 127, Núm. 24, pp. 3035-3039