The integration of genomics into radiotherapy has emerged as a promising approach to tailor treatment based on individual tumor characteristics. A study by Rath et al. introduced the concept of genomic adjusted radiation dose (GARD), which correlates tumor-specific gene expression with radiation dosing, particularly in HPV+ oropharyngeal cancer. This method aims to address the limitations of uniform radiation therapy, which has shown suboptimal results in clinical trials due to genomic heterogeneity within tumors (ref: Rath doi.org/10.1172/JCI198351/). In prostate cancer, Ku et al. identified a transcriptomic signature associated with TGF-β activity that predicts biochemical recurrence after external beam radiotherapy, suggesting that early identification of high-risk patients could facilitate personalized treatment strategies (ref: Ku doi.org/10.1158/1078-0432.CCR-25-2186/). Additionally, Yang et al. explored the role of circulating tumor DNA (ctDNA) in predicting outcomes for limited-stage small cell lung cancer patients undergoing concurrent chemoradiotherapy, highlighting the potential of ctDNA as a dynamic biomarker for treatment response (ref: Yang doi.org/10.1038/s41392-025-02445-y/). These studies collectively underscore the importance of integrating genomic data into radiotherapy planning to enhance treatment efficacy and minimize adverse effects.