Publicacions en què col·labora amb Noemi Puig Moron (74)

2024

  1. A research center’s experience of T-cell–redirecting therapies in triple-class refractory multiple myeloma

    Blood Advances, Vol. 8, Núm. 13, pp. 3478-3487

  2. Curative Strategy for High-Risk Smoldering Myeloma: Carfilzomib, Lenalidomide, and Dexamethasone (KRd) Followed by Transplant, KRd Consolidation, and Rd Maintenance

    Journal of Clinical Oncology, Vol. 42, Núm. 27, pp. 3247-3256

  3. International Myeloma Working Group immunotherapy committee consensus guidelines and recommendations for optimal use of T-cell-engaging bispecific antibodies in multiple myeloma

    The Lancet Oncology, Vol. 25, Núm. 5, pp. e205-e216

  4. Mass Spectrometry as Alternative Method to Identify and Monitor Non-Secretory Progressive Disease in Patients with Multiple Myeloma

    Biomedicines, Vol. 12, Núm. 6

  5. Predictors of unsustained measurable residual disease negativity in transplant-eligible patients with multiple myeloma

    Blood, Vol. 143, Núm. 7, pp. 597-603

  6. Recovery of uninvolved heavy/light chain pair immunoparesis in newly diagnosed transplant-eligible myeloma patients complements the prognostic value of minimal residual disease detection

    Haematologica, Vol. 109, Núm. 6, pp. 1909-1917

  7. Selinexor, daratumumab, bortezomib and dexamethasone for the treatment of patients with relapsed or refractory multiple myeloma: results of the phase II, non-randomized, multicenter GEM-SELIBORDARA study

    Haematologica, Vol. 109, Núm. 7, pp. 2219-2228

  8. Serum mass spectrometry for treatment monitoring in patients with multiple myeloma receiving ARI0002h CAR T-cells

    British Journal of Haematology, Vol. 205, Núm. 4, pp. 1346-1355

  9. Short-Chain Fatty Acid Production by Gut Microbiota Predicts Treatment Response in Multiple Myeloma

    Clinical Cancer Research

  10. 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. 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. Circulating Tumor and Immune Cells for Minimally Invasive Risk Stratification of Smoldering Multiple Myeloma

    Clinical cancer research : an official journal of the American Association for Cancer Research, Vol. 28, Núm. 21, pp. 4771-4781

  4. FlowCT for the analysis of large immunophenotypic data sets and biomarker discovery in cancer immunology

    Blood Advances, Vol. 6, Núm. 2, pp. 690-703