Commentary Open Access

Personalized Toxicity Management in Oncology: Advancing Precision Care Beyond Tumor Control

Abstract

Personalized toxicity management represents a transformative shift in modern oncology, emphasizing individualized prediction, prevention, and mitigation of treatment-related adverse effects. While precision oncology has largely focused on tumor genomics and targeted therapies, an equally important dimension is the variability in patient tolerance to chemotherapy, immunotherapy, and radiation. Inter-patient differences in pharmacogenomics, organ reserve, microbiome composition, immune status, and comorbidities significantly influence toxicity risk. This commentary explores the evolving paradigm of toxicity personalization, integrating clinical decision tools, biomarker-guided prediction models, digital health monitoring, and adaptive dosing strategies. It highlights current challenges in implementing individualized toxicity frameworks in routine practice and discusses future directions involving artificial intelligence, multiomics integration, and real-world evidence systems. Ultimately, personalized toxicity management aims to optimize therapeutic index, improve quality of life, and ensure that survival gains from modern oncology are not offset by preventable harm.

Elise R. Davenport

To read the full article Download Full Article