Stefan Ambs

This study identifies ZMAT3 as a regulator of HKDC1 transcription through JUN, suppressing mitochondrial respiration in colorectal cancer cells.

This paper introduces LogiCAR designer, a computational method using single-cell transcriptomics to identify logic-gated antigen combinations for CAR therapy, showing improved efficacy and safety compared to existing approaches.

The paper identifies unique neoantigen profiles in Kenyan breast cancer patients using whole exome and RNA sequencing data, highlighting patient-specific mutations and HLA associations.

This study identifies ELAPOR1 as a tumor suppressor in pancreatic cancer, showing its association with reduced disease aggressiveness and a metabolic signature of the classical/progenitor subtype.

This study identifies LMO3 as a suppressor of the aggressive basal-like/squamous PDAC subtype, showing it reduces disease aggressiveness through modulation of glycerol 3-phosphate metabolism.

The paper identifies spatial interactions between NOS2, COX2, and T-effector cells in ER- breast cancer, linking these patterns to poor patient outcomes and suggesting potential therapeutic strategies.

This study identifies NOS2 and COX2 as key spatial targets in ER- breast cancer that influence immune phenotypes and clinical outcomes through spatial analysis of tumor microenvironments.

This study analyzes whole-exome sequencing data from Nigerian prostate cancer tumors to identify germline and somatic variants associated with African ancestry and DNA repair gene mutations.

This paper develops polygenic risk scores for breast cancer prediction in women of African ancestry by combining African and European ancestry datasets, improving prediction accuracy.