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Trilla-Fuertes L, Gámez-Pozo A, Prado-Vázquez G, López-Vacas R, Zapater-Moros A, López-Camacho E, Lumbreras-Herrera MI, Soriano V, Garicano F, Lecumberri MJ, et al. Sorting Transcriptomics Immune Information from Tumor Molecular Features Allows Prediction of Response to Anti-PD1 Therapy in Patients with Advanced Melanoma. International Journal of Molecular Sciences. 2023; 24(1):801. https://doi.org/10.3390/ijms24010801

Trilla-Fuertes, Lucía, Angelo Gámez-Pozo, Guillermo Prado-Vázquez, Rocío López-Vacas, Andrea Zapater-Moros, Elena López-Camacho, María I. Lumbreras-Herrera, Virtudes Soriano, Fernando Garicano, Mª José Lecumberri, and et al. 2023. "Sorting Transcriptomics Immune Information from Tumor Molecular Features Allows Prediction of Response to Anti-PD1 Therapy in Patients with Advanced Melanoma" International Journal of Molecular Sciences 24, no. 1: 801. https://doi.org/10.3390/ijms24010801

Trilla-Fuertes, L., Gámez-Pozo, A., Prado-Vázquez, G., López-Vacas, R., Zapater-Moros, A., López-Camacho, E., Lumbreras-Herrera, M. I., Soriano, V., Garicano, F., Lecumberri, M. J., Rodríguez de la Borbolla, M., Majem, M., Pérez-Ruiz, E., González-Cao, M., Oramas, J., Magdaleno, A., Fra, J., Martín-Carnicero, A., Corral, M., ... Espinosa, E. (2023). Sorting Transcriptomics Immune Information from Tumor Molecular Features Allows Prediction of Response to Anti-PD1 Therapy in Patients with Advanced Melanoma. International Journal of Molecular Sciences, 24(1), 801. https://doi.org/10.3390/ijms24010801