Rebeca Sanz Pamplona

This study identifies PARP14 as a key IFNγ-regulated mediator of metastatic progression in Ewing sarcoma through multi-omics analyses and functional experiments.

This study validates a machine learning platform, NAP-CNB, for identifying tumor neoantigens using RNAseq data, showing improved antitumor responses with multiantigen vaccination.

The paper assesses the immunogenic potential of GNAQ and GNA11 mutations in uveal melanoma using genomic and transcriptomic data, finding Q209L mutations are more immunogenic than Q209P.

NAP-CNB is a web server tool that predicts MHC-I-restricted T cell epitopes in mice using recurrent neural networks, achieving an AUC of 0.95 for H-2 peptide ligands.

The paper identifies copy-number intratumor heterogeneity as a predictor of relapse in stage II colon cancer, improving risk prediction beyond clinicopathological markers.

The paper presents a bioinformatics method to detect Merkel cell polyomavirus insertions in whole exome sequencing data of Merkel cell carcinoma samples, achieving 100% sensitivity and 62.5% specificity.