Predictive vs Precision Oncology (2026): Why Matching Mutations Isn’t Enough Anymore
Introduction: The Shift From Description to Prediction For the past two decades, cancer research has been dominated by one central idea: If we understand the genetic mutations driving a tumor, we can target them precisely. This gave rise to precision oncology —a paradigm built on genomic sequencing, biomarker testing, and targeted therapies. But a hard truth has emerged: Patients with identical mutations often have wildly different outcomes . This inconsistency has fueled the rise of predictive oncology —a more advanced approach that aims to forecast treatment response before therapy begins, powered by Artificial intelligence and multi-layered biological data. 1. What Is Precision Oncology? Precision oncology focuses on matching therapies to tumor biology . Core principle: Treat the mutation, not just the tumor location. According to the National Cancer Institute, precision medicine uses genetic or molecular profiling to guide therapy selection, improving outcomes in selected patient ...