Many novel targeted drugs have been introduced to the clinic for cancer therapy, often guided by genomic clues on disease pathogenesis. Clinical treatment of cancer patients is, however, challenged by the fact that genomics is often not informative in selecting therapies to individual patients. Patients also often develop resistance to therapies that were initially effective. Furthermore, tumor heterogeneity and clonal evolution over time within an individual patient make it difficult to apply cancer genomics as a guide to patient therapy.
ISM combines genomics with comprehensive drug sensitivity testing of patient cells to facilitate optimization of safe and efficacious cancer therapies for individual patients. Furthermore, the ISM strategy aids in understanding and predicting how drug resistance evolves and how it may be prevented.
Results achieved by applying this strategy to 28 patient samples have been recently published in the Cancer Discovery