Bruno David Lourenço Paiva-rekin lankidetzan egindako argitalpenak (68)

2024

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

    British Journal of Haematology

2022

  1. Preneoplastic somatic mutations including MYD88L265P in lymphoplasmacytic lymphoma

    Science Advances, Vol. 8, Núm. 3

2021

  1. Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study

    Modern Pathology, Vol. 34, Núm. 1, pp. 59-69

  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. Impact of measurable residual disease by decentralized flow cytometry: a PETHEMA real-world study in 1076 patients with acute myeloid leukemia

    Leukemia, Vol. 35, Núm. 8, pp. 2358-2370

  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

  5. The mutational landscape of acute myeloid leukaemia predicts responses and outcomes in elderly patients from the pethema-flugaza phase 3 clinical trial

    Cancers, Vol. 13, Núm. 10

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. Pembrolizumab as consolidation strategy in patients with multiple myeloma: Results of the GEM-pembresid clinical trial

    Cancers, Vol. 12, Núm. 12, pp. 1-13

2019

  1. Flow cytometry for fast screening and automated risk assessment in systemic light-chain amyloidosis

    Leukemia, Vol. 33, Núm. 5, pp. 1256-1267

2018

  1. Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia

    Leukemia, Vol. 32, Núm. 4, pp. 874-881

  2. Next generation flow for minimally-invasive blood characterization of MGUS and multiple myeloma at diagnosis based on circulating tumor plasma cells (CTPC)

    Blood cancer journal, Vol. 8, Núm. 12, pp. 117

  3. Prognostic value of antigen expression in multiple myeloma: A PETHEMA/GEM study on 1265 patients enrolled in four consecutive clinical trials

    Leukemia, Vol. 32, Núm. 4, pp. 971-978

2017

  1. 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

  2. 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

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

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