Laura Rosiñol Dachs-rekin lankidetzan egindako argitalpenak (28)

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

2021

  1. 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. 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. 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. 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

2016

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

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

  2. Sequential vs alternating administration of VMP and Rd in elderly patients with newly diagnosed MM

    Blood, Vol. 127, Núm. 4, pp. 420-425

2014

  1. Combination of International Scoring System 3, highlactate dehydrogenase, and t(4;14) and/or del(17p) identifies patients with multiple myeloma (MM) treated with front-line autologous stem-cell transplantation at high risk of early MM progression-related death

    Journal of Clinical Oncology, Vol. 32, Núm. 20, pp. 2173-2180

2013

  1. A multiparameter flow cytometry immunophenotypic algorithm for the identification of newly diagnosed symptomatic myeloma with an MGUS-like signature and long-term disease control

    Leukemia, Vol. 27, Núm. 10, pp. 2056-2061