Xin Wei Wang

This study defines the spatial architecture of intrahepatic cholangiocarcinoma using single-cell spatial proteomics and a graph-based deep learning framework to identify multicellular spatial patterns and their association with patient outcomes.

The paper identifies differential serum binding patterns that classify healthy individuals from cancer patients using serological data from the VirScan platform.

The paper identifies anti-CE1 antibodies that reduce HCC incidence and mortality by mediating NK cell ADCC against ASPH-expressing tumor cells through epitope mimicry.

A multimodal pipeline defines and validates tumor-selective surface targets for radiotheranostic use in hepatocellular carcinoma.

The paper introduces a functional genomic complexity (FGC) score to assess genomic heterogeneity in liver cancer, finding higher FGC correlates with worse prognosis and immune evasion.

MS.liverK is an R package that implements tools for computing molecular subtypes and functional signatures in liver cancer using transcriptome data.