Jesús San Miguel Izquierdo-rekin lankidetzan egindako argitalpenak (24)

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

2023

  1. Integrated flow cytometry and sequencing to reconstruct evolutionary patterns from dysplasia to acute myeloid leukemia

    Blood Advances, Vol. 7, Núm. 1, pp. 167-173

  2. Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma

    Nature Medicine, Vol. 29, Núm. 3, pp. 632-645

  3. Transcriptional and genomic characterization of measurable residual disease in acute myeloid leukaemia

    British Journal of Haematology

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. Landscape and clinical significance of long noncoding RNAs involved in multiple myeloma expressed fusion transcripts

    American Journal of Hematology

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

    Cancers, Vol. 14, Núm. 20

  5. Preneoplastic somatic mutations including MYD88L265P in lymphoplasmacytic lymphoma

    Science Advances, Vol. 8, Núm. 3

  6. The transcriptomic landscape of elderly acute myeloid leukemia identifies B7H3 and BANP as a favorable signature in high-risk patients

    Frontiers in Oncology, Vol. 12

  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. Characterization of complete lncRNAs transcriptome reveals the functional and clinical impact of lncRNAs in multiple myeloma

    Leukemia, Vol. 35, Núm. 5, pp. 1438-1450

  2. 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

  3. 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

  4. Measurable residual disease in elderly acute myeloid leukemia: Results from the PETHEMA-FLUGAZA phase 3 clinical trial

    Blood Advances, Vol. 5, Núm. 3, pp. 760-770

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. Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma

    Leukemia, Vol. 34, Núm. 11, pp. 3007-3018

  3. Transcriptional profiling of circulating tumor cells in multiple myeloma: a new model to understand disease dissemination

    Leukemia, Vol. 34, Núm. 2, pp. 589-603