Jesús F. San Miguel-rekin lankidetzan egindako argitalpenak (115)

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. A simple score to predict early severe infections in patients with newly diagnosed multiple myeloma

    Blood cancer journal, Vol. 12, Núm. 4, pp. 68

  3. 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

  4. Expression of p53 protein isoforms predicts survival in patients with multiple myeloma

    American Journal of Hematology, Vol. 97, Núm. 6, pp. 700-710

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

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

  6. Lenalidomide-dexamethasone versus observation in high-risk smoldering myeloma after 12 years of median follow-up time: A randomized, open-label study

    European Journal of Cancer, Vol. 174, pp. 243-250

  7. Mass spectrometry vs immunofixation for treatment monitoring in multiple myeloma

    Blood Advances, Vol. 6, Núm. 11, pp. 3234-3239

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

    Cancers, Vol. 14, Núm. 20

  9. Prognostic Value of Serum Paraprotein Response Kinetics in Patients With Newly Diagnosed Multiple Myeloma

    Clinical Lymphoma, Myeloma and Leukemia, Vol. 22, Núm. 9, pp. e844-e852

  10. Second Revision of the International Staging System (R2-ISS) for Overall Survival in Multiple Myeloma: A European Myeloma Network (EMN) Report Within the HARMONY Project

    Journal of Clinical Oncology, Vol. 364