Recent research has highlighted the importance of molecular classification in predicting treatment responses in endometrial cancer (EC). A study utilizing data from the PORTEC-1 and PORTEC-2 trials demonstrated that molecular classification can predict responses to radiotherapy in early-stage endometrioid EC, suggesting a potential for personalized treatment approaches (ref: Horeweg doi.org/10.1200/JCO.23.00062/). Additionally, the evaluation of somatic mutations in urine samples revealed a 100% detection rate for endometrial cancers, indicating that non-invasive methods could revolutionize early detection and classification of EC (ref: Costas doi.org/10.1158/1078-0432.CCR-23-0367/). Another study focused on cervicovaginal samples, finding that 73% of endometrial cancer cases had detectable mutations, which were associated with significant differences in disease-free survival across molecular groups (ref: Pelegrina doi.org/10.1016/j.ebiom.2023.104716/). Furthermore, genome-wide CRISPR screening identified ADCK3 as a key regulator in sensitizing EC cells to MPA therapy, linking it to the tumor suppressor p53, which could inform future therapeutic strategies (ref: Zhang doi.org/10.1038/s41416-023-02347-2/). These findings collectively underscore the critical role of molecular mechanisms and genetic factors in the diagnosis and treatment of endometrial cancer, paving the way for more targeted therapies.