Recent advancements in radiogenomics have highlighted the potential for personalized radiotherapy approaches, particularly in breast cancer and glioblastoma. The TNBC-DX genomic test demonstrated significant predictive capabilities for pathologic complete response (pCR) in triple-negative breast cancer (TNBC) patients undergoing neoadjuvant chemotherapy, with an odds ratio of 1.34 for pCR per 10-unit increment in the TNBC-DX pCR score (ref: Martín doi.org/10.1016/j.annonc.2024.10.012/). Furthermore, the study indicated that the TNBC-DX risk score was associated with improved disease-free survival (DDFS) and overall survival (OS), with hazard ratios of 0.24 and 0.19, respectively, underscoring the test's utility in clinical decision-making. In glioblastoma, the efficacy of combining veliparib with temozolomide was evaluated in a randomized clinical trial, revealing significant chemosensitizing effects in patients with MGMT-methylated tumors (ref: Sarkaria doi.org/10.1001/jamaoncol.2024.4361/). This combination therapy aims to enhance treatment outcomes in a patient population known for poor prognoses following standard therapies. Moreover, the exploration of genomic biomarkers in predicting treatment responses has gained traction, as evidenced by the study on ATR inhibition combined with radiotherapy, which revealed that the novel inhibitor RP-3500 selectively radiosensitized specific tumor genotypes (ref: Schrank doi.org/10.1158/1078-0432.CCR-24-2306/). The findings suggest a need for genotype-tailored approaches in radiotherapy, emphasizing the importance of integrating genomic data into treatment planning to optimize patient outcomes.