Patient-derived xenograft (PDX) models, in which tumor tissues from patients are implanted
into immunocompromised or humanized mice, have shown superiority in recapitulating the …

Cancer is a leading cause of death worldwide. Identifying the best treatment using
computational models to personalize drug response prediction holds great promise to …

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient
survival. Toward understanding the underlying molecular alterations that drive PDAC …

Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs
for new medical indications. Several machine learning (ML) and artificial intelligence (AI) …

Patient-derived xenograft (PDX) models are widely used in cancer research. To investigate
the genomic fidelity of non-small cell lung cancer PDX models, we established 48 PDX …

Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Patient-derived xenografts (PDXs) are resected human tumors engrafted into mice for
preclinical studies and therapeutic testing. It has been proposed that the mouse host affects …

Patient derived tumor xenografts (PDXs) are important models for pre-clinical testing in
cancer research and personalized medicine. PDXs often represent patient tumors with high …

Background Previous studies have shown that the anti-cholestatic effect of oleanolic acid
(OA) is associated with FXR and NRF2. However, how the two signaling pathways …

To date, only some cancer patients can benefit from chemotherapy and targeted therapy.
Drug resistance continues to be a major and challenging problem facing current cancer …