The intersection of radiogenomics and personalized radiotherapy has become increasingly significant in understanding treatment resistance and optimizing therapeutic strategies. A study by Shao et al. highlights how radiotherapy-resistant prostate cancer cells evade immune checkpoint blockade through mechanisms involving the senescence-related ataxia telangiectasia and Rad3-related protein, indicating that intrinsic resistance is linked to limited antigen presentation in heterogeneous tumor populations (ref: Shao doi.org/10.1002/cac2.12636/). Similarly, research by Papargyriou et al. demonstrates that branched organoid models of pancreatic ductal adenocarcinoma can recapitulate the intratumoral heterogeneity that contributes to chemoresistance, emphasizing the need for models that reflect the complex tumor microenvironment to better predict treatment responses (ref: Papargyriou doi.org/10.1038/s41551-024-01273-9/). Furthermore, Passiglia et al. report on the European Program for the Routine Testing of Patients With Advanced Lung Cancer (EPROPA), which identified numerous actionable mutations in non-small cell lung cancer (NSCLC) samples, underscoring the importance of comprehensive genomic profiling in enhancing patient access to targeted therapies and clinical trials (ref: Passiglia doi.org/10.1016/j.jtho.2024.12.010/). These findings collectively highlight the critical role of genomic profiling in tailoring radiotherapy and improving patient outcomes across various cancer types.