Radiogenomics is an emerging field that integrates genomic data with radiological imaging to enhance personalized therapy in cancer treatment. A pivotal study demonstrated that germline loss-of-function variants in ELP1 are prevalent in childhood medulloblastoma, particularly in the Sonic hedgehog subtype, suggesting that targeting MDM2 could be a selective therapeutic strategy (ref: Ahmad doi.org/10.1016/j.ccell.2025.04.014/). In osteosarcoma, a kinome-wide CRISPR screen identified PKMYT1 as a key regulator of cisplatin sensitivity, highlighting the potential for targeted therapies to overcome chemoresistance (ref: Liu doi.org/10.1038/s41392-025-02250-7/). The TOPAZ-1 study further supports this theme by showing that durvalumab combined with chemotherapy significantly improves overall survival in advanced biliary tract cancer, emphasizing the importance of integrating immunotherapy with traditional chemotherapy (ref: Oh doi.org/10.1016/j.jhep.2025.05.003/). Additionally, the efficacy of patritumab deruxtecan in treating leptomeningeal metastatic disease showcases the potential of antibody-drug conjugates in targeting specific cancer types (ref: Preusser doi.org/10.1038/s41591-025-03744-1/). The development of a radiogenomics prognostic model for non-small cell lung cancer, which integrates PET/CT radiomics and glucose metabolism-related gene signatures, further illustrates the potential for personalized treatment strategies based on individual tumor characteristics (ref: Wang doi.org/10.1007/s00259-025-07354-4/).