Publicaciones en las que colabora con Norma Carmen Gutiérrez Gutiérrez (73)

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

2023

  1. Multiple myeloma with t(11;14): impact of novel agents on outcome

    Blood Cancer Journal, Vol. 13, Núm. 1

  2. Novel Agents as Main Drivers for Continued Improvement in Survival in Multiple Myeloma

    Cancers, Vol. 15, Núm. 5

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. MM-202 Impact of t(11;14) in Multiple Myeloma on Response to Treatment and Survival

    Clinical Lymphoma, Myeloma and Leukemia, Vol. 22, pp. S413-S414

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

    Cancers, Vol. 14, Núm. 20

  5. Transcriptional signature of TP53 biallelic inactivation identifies a group of multiple myeloma patients without this genetic condition but with dismal outcome

    British Journal of Haematology, Vol. 199, Núm. 3, pp. 344-354

  6. 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. FAM46C controls antibody production by the polyadenylation of immunoglobulin mRNAs and inhibits cell migration in multiple myeloma

    Journal of Cellular and Molecular Medicine, Vol. 24, Núm. 7, pp. 4171-4182

  4. 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

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

    Blood Cancer Journal, Vol. 10, Núm. 2

  6. Preclinical evaluation of the simultaneous inhibition of MCL-1 and BCL-2 with the combination of S63845 and venetoclax in multiple myeloma

    Haematologica

  7. Protein translation inhibition is involved in the activity of the pan-pim kinase inhibitor pim447 in combination with pomalidomide-dexamethasone in multiple myeloma

    Cancers, Vol. 12, Núm. 10, pp. 1-20

  8. 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

2019

  1. Transcriptome analysis reveals significant differences between primary plasma cell leukemia and multiple myeloma even when sharing a similar genetic background

    Blood Cancer Journal, Vol. 9, Núm. 12