Christiane J. Bruns

This study identifies gene expression adaptations of metastases to host tissue using single-cell RNA-sequencing and a novel computational approach, revealing liver-specific expression signatures in colorectal cancer metastases.

The paper uses single cell RNA-sequencing and genome-wide association study data to identify cell types and processes involved in Barrett's esophagus and esophageal adenocarcinoma risk.

This paper develops a CNN-based method to predict HER2 status in esophageal cancer tissue microarrays with high accuracy, outperforming manual assessment and reducing the need for costly follow-up tests.