Publicaciones en colaboración con investigadores/as de Instituto de Investigación Sanitaria de Navarra (125)

2024

  1. CD137 (4-1BB) and T-Lymphocyte Exhaustion

    Clinical cancer research : an official journal of the American Association for Cancer Research, Vol. 30, Núm. 18, pp. 3971-3973

  2. Cytotoxicity as a form of immunogenic cell death leading to efficient tumor antigen cross-priming

    Immunological Reviews, Vol. 321, Núm. 1, pp. 143-151

  3. Dendritic Cells in Cancer Immunology and Immunotherapy

    Cancers, Vol. 16, Núm. 5

  4. Double-Stranded RNA to Mimic Viral Infection for Cancer Immunotherapy

    Clinical cancer research : an official journal of the American Association for Cancer Research, Vol. 30, Núm. 16, pp. 3355-3357

  5. Intratumoral NK cell delivery combined with neutralization of the NKG2A pathway as treatment for solid cancer

    Genes and Immunity, Vol. 25, Núm. 5, pp. 437-439

  6. Low-Dose Ionizing γ-Radiation Elicits the Extrusion of Neutrophil Extracellular Traps

    Clinical cancer research : an official journal of the American Association for Cancer Research, Vol. 30, Núm. 18, pp. 4131-4142

  7. MHC class I and II-deficient humanized mice are suitable tools to test the long-term antitumor efficacy of immune checkpoint inhibitors and T-cell engagers

    Journal for immunotherapy of cancer, Vol. 12, Núm. 9

  8. Regional and intratumoral adoptive T-cell therapy

    Immuno-Oncology and Technology, Vol. 24

  9. Short-term cultured tumor fragments to study immunotherapy combinations based on CD137 (4-1BB) agonism

    OncoImmunology, Vol. 13, Núm. 1

  10. Spatially resolved tissue imaging to analyze the tumor immune microenvironment: beyond cell-type densities

    Journal for immunotherapy of cancer, Vol. 12, Núm. 5

  11. The liver as a cytokine factory working on mRNA blueprints for cancer immunotherapy

    Cancer Cell

  12. Tumor slice culture system for ex vivo immunotherapy studies

    Methods in Cell Biology, Vol. 189, pp. 55-69

  13. Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma

    eBioMedicine, Vol. 102