Publications in collaboration with researchers from Hospital Universitario de Salamanca (192)


  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. Genomics of Plasma Cell Leukemia

    Cancers, Vol. 14, Núm. 6

  4. Interlaboratory Analytical Validation of a Next-Generation Sequencing Strategy for Clonotypic Assessment and Minimal Residual Disease Monitoring in Multiple Myeloma

    Archives of pathology & laboratory medicine, Vol. 146, Núm. 7, pp. 862-871

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

    Cancers, Vol. 14, Núm. 20

  6. RNA sequencing identifies novel regulated IRE1-dependent decay targets that affect multiple myeloma survival and proliferation

    Experimental Hematology and Oncology, Vol. 11, Núm. 1

  7. TCL-318 Evaluation of the Antitumor Activity of Amiloride in Peripheral T-Cell Lymphomas Using In-Vitro Models

    Clinical Lymphoma, Myeloma and Leukemia, Vol. 22, pp. S399

  8. 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

  9. 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