Xiaoqiang Zhu

The paper identifies how XPD mutations alter somatic mutation patterns in bladder cancer and develops a machine-learning model to predict pathogenic XPD mutations with 100% accuracy in an independent cohort.

The paper evaluates the ability to predict metabolite levels from gene expression in cancer cell lines and finds that gene expression is a poor predictor.

The paper identifies a non-canonical role of DNA mismatch repair (MMR) in repairing methylation damage in non-dividing cells, contributing to mutational signatures in cancer.