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 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.