Pancreatic cancer (PC) has 5-year survival rates of 10% and is projected to become the second leading cause of cancer-related deaths by 2030. Poor outcomes result from early metastasis and a lack of effectual therapies for advanced disease. Our previous large-scale genomics studies revealed PC is molecularly highly varied1. This heterogeneity, lack of effective therapies and high mortality rate make PC a prime arena to advance personalised medicine strategies, where individual cancers are selected for optimal therapy depending on molecular subtype. Utilising our significant experience of molecular-guided anti-cancer therapies2-6 and stromal biology expertise2,6,7, we are taking drug-repurposing approaches to test agents with effects on stromal biology in combination with standard-of-care chemotherapies, to improve clinical outcomes.
Itraconazole is an FDA-approved anti-fungal with potential anti-cancer effects, although its efficacy in PC remains relatively unexplored. Itraconazole can perturb AKT/mTOR signalling – atypically activated in ~25% of pancreatic cancers (ICGC/APGI cohort). Initial data from select patient-derived models demonstrates itraconazole efficacy is correlated with higher AKT levels. Preliminary in vivo findings indicate that itraconazole, in combination with gemcitabine/Abraxane, significantly delays disease progression in a personalised patient-derived xenograft setting. Single cell RNA-seq analyses of tumours from the KPC orthotopic model of PC suggest itraconazole treatment can inhibit immunosuppressive components of the stroma and pro-tumourigenic, pro-metastatic signalling. Excitingly, using a model of metastatic PC, we show itraconazole hinders metastatic colonisation in the liver. This work aims to identify subtypes of PC responsive to itraconazole allowing optimisation and translation of tailored therapies combining itraconazole and the latest clinically-utilised chemotherapies.