Francisco Martínez-Jiménez

The paper develops a DNA-based T-cell infiltration score from whole-genome sequencing to predict immunotherapy response and survival.

The paper develops a statistical framework to identify genomic non-response biomarkers in cancer therapies using whole-genome and transcriptome sequencing data from 2,596 patients.

The paper characterizes genetic immune escape (GIE) across primary and metastatic tumors, finding high prevalence and type-specific differences in immune evasion mechanisms.

This study compares whole-genome sequences of primary and metastatic tumors across 7,152 samples, revealing cancer-type-specific genomic changes and treatment-induced evolutionary bottlenecks.

This study evaluates how variant calling decisions affect downstream cancer genomics analyses and finds that different callers and strategies yield significant differences in driver gene identification, mutational signatures, and actionable variant detection.

The paper identifies degrons and E3 ligase alterations across cancer types, finding that at least 1 in 7 driver mutations affect these components.