Kevin C.L. Cheng

The paper develops a deep learning model to predict mutation density in metastatic cancers using chromatin accessibility data from primary tumors, showing lineage-linked chromatin context influences regional mutagenesis.

The paper examines therapy-associated mutagenesis at CTCF binding sites across 4,870 tumor genomes, finding increased mutation enrichment at these sites under radiotherapy and trifluridine treatment.

The paper identifies mutational signatures in cancer genomes that alter protein sequence motifs in signaling networks, linking mutation etiology to functional consequences.

The paper identifies TOP2B binding sites as mutational hotspots in cancer genomes, showing their role in structural variants and driver mutations in genes like TP53 and MYC.

The paper identifies immunogenomic interactions across 13 cancer types using a multi-omics framework, linking genomic alterations and immune features to patient survival.

This study shows that vitamin C increases young LINE-1 element expression in mouse ESCs through H3K9me3 demethylation by KDM4A/C, without increasing somatic insertion rates.