Aurel A. Perren

The paper identifies two neuroendocrine cell states in large-cell pancreatic neuroendocrine carcinoma using single-nucleus transcriptomics, revealing an aberrant brain-type neuronal program and a stress-responsive state.

This study uses micro-CT radiomics to classify thyroid tumors and identify biomarkers, showing potential for improving diagnostic accuracy.

The paper investigates MCT1 and MCT4 expression in PanNETs, showing their role in metabolic heterogeneity and functional redundancy, and demonstrates that dual inhibition targets tumor aggressiveness.

This study uses proteomic and phosphoproteomic analysis to classify thyroid tumors of follicular origin, identifying molecular signatures that distinguish benign from malignant tissues.