Katja Sallinger

This study identifies tissue architecture and immune niches as key factors influencing ctDNA release in colorectal cancer by integrating spatial transcriptomics and in situ mutation detection.

The paper develops a novel CoDuCo in situ hybridization method combined with machine learning to classify and characterize circulating tumor cells in prostate cancer, identifying resistance mechanisms and therapeutic targets.

The paper identifies a disrupted trophoblast transition in preeclampsia, linking placental pathology to maternal syndrome through multi-omics profiling and in vitro analyses.