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Drug resistance remains a significant barrier to treating cancer, even in this era of precision medicine and exciting discoveries. A haunting question is whether resistance to targeted therapies could be overcome by developing yet more tailored therapies based on increasingly clear mechanisms of cancer ...

Drug resistance remains a significant barrier to treating cancer, even in this era of precision medicine and exciting discoveries. A haunting question is whether resistance to targeted therapies could be overcome by developing yet more tailored therapies based on increasingly clear mechanisms of cancer pathogenesis.

High-throughput technologies have dramatically increased the amount of pharmacogenomic data, now allowing the examination of multiple histological types, such as gene expression and mutation profiles, for potential drug targets and predictors of drug response. Model organisms are increasingly being used to find targets for small-molecule drugs and to validate these targets. Discussing and clarifying how new molecular targets and pathways may offer a new impulse to precision therapy is the reason for being for this Research Topic.

This Research Topic welcomes Original Research, Mini Reviews, Perspectives, and Methods. The themes of this collection include but are not limited to the following areas:
1. New strategies to overcome drug resistance observed with targeted therapies
2. New anti-cancer targeted therapy based on recently identified molecular pathways
3. Novel biomarkers that can optimize response to precision medicine

Keywords: Drug resistance, cancer, biomarkers, machine learning


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