Hana Algül

This study identifies c-Rel as a driver of pancreatic cancer metastasis by promoting EMT, ECM remodeling, and resistance to isolation stress through fibronectin-integrin signaling.

This study identifies KRAS mutation as a driver of invasive gastro-esophageal adenocarcinoma in a mouse model, showing its synergistic role with Tp53 or Rb1 loss and potential as a therapeutic target.

The paper reports germline recombination in Ptf1a-driven Cre mouse lines when the Cre allele is paternally transmitted, emphasizing the need for genotyping and maternal transmission to avoid unintended recombination.

The paper develops a machine learning model using radiomic features from MRI to predict survival and tumor subtype in pancreatic ductal adenocarcinoma with high accuracy.

This paper develops a machine learning model to predict molecular subtypes of PDAC from radiomic features, showing differential chemotherapy response based on subtype.