David Kuang-Fu Chang

This study identifies architectural subtypes of PDAC using morphospatial profiling of CAFs, showing improved prognostication and chemotherapy response prediction.

This paper uses self-supervised AI to identify under-appreciated stromal morphologies in lung adenocarcinoma linked to poor prognosis, independent of current clinical schemas.

This paper introduces a self-supervised learning framework to analyze multiplex immunofluorescence images, revealing novel prognostic spatial patterns in cancer tissues.

This study identifies mevalonate biosynthesis as a therapeutic target and biomarker for gemcitabine-resistant pancreatic cancer.

This study shows that sequential ATR and PARP inhibition can overcome acquired resistance to DNA damaging agents in pancreatic ductal adenocarcinoma.

This study identifies NDRG1 as a DNA repair protein that links pancreatic cancer stroma to chemoresistance by enhancing DNA damage repair through R-loop resolution.

This study shows that eliminating nSMase2 in pancreatic cancer reduces tumor growth, promotes a less aggressive tumor subtype, and enhances immune responses by altering exosome production and macrophage polarization.

The paper identifies hundreds of genes deregulated by SVs in cancer, showing increased expression linked to SV breakpoints and enhancer elements.