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A State-of-the-Art Roadmap for Biomarker-Driven Drug Development in the Era of Personalized Therapies

Victoria Serelli-Lee, Kazumi Ito, Akira Koibuchi, Takahiko Tanigawa, Takayo Ueno, Nobuko Matsushima, Yasuhiko Imai

2022Journal of Personalized Medicine16 citationsDOIOpen Access PDF

Abstract

Advances in biotechnology have enabled us to assay human tissue and cells to a depth and resolution that was never possible before, redefining what we know as the "biomarker", and how we define a "disease". This comes along with the shift of focus from a "one-drug-fits-all" to a "personalized approach", placing the drug development industry in a highly dynamic landscape, having to navigate such disruptive trends. In response to this, innovative clinical trial designs have been key in realizing biomarker-driven drug development. Regulatory approvals of cancer genome sequencing panels and associated targeted therapies has brought personalized medicines to the clinic. Increasing availability of sophisticated biotechnologies such as next-generation sequencing (NGS) has also led to a massive outflux of real-world genomic data. This review summarizes the current state of biomarker-driven drug development and highlights examples showing the utility and importance of the application of real-world data in the process. We also propose that all stakeholders in drug development should (1) be conscious of and efficiently utilize real-world evidence and (2) re-vamp the way the industry approaches drug development in this era of personalized medicines.

Topics & Concepts

Personalized medicineDrug developmentBiomarkerPrecision medicineDrug responseMedicineDrugDrug discoveryData scienceComputational biologyBioinformaticsComputer scienceBiotechnologyPharmacologyBiologyGeneticsPathologyCancer Genomics and DiagnosticsComputational Drug Discovery MethodsCAR-T cell therapy research
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