Recent studies have focused on various aspects of endometrial cancer (EC) treatment and management, highlighting the importance of genetic and anatomical factors in predicting outcomes. One significant finding is the role of MLL3 mutations, which are prevalent in several cancers, including EC. Liu et al. reported that MLL3 aberrations are linked to improved overall survival and favorable responses to immunochemotherapy in uterine corpus endometrial carcinoma, suggesting that these mutations could serve as prognostic biomarkers (ref: Liu doi.org/10.1016/j.celrep.2025.116548/). Additionally, Murakami et al. constructed a prognostic model based on ferroptosis-related long non-coding RNAs, which was shown to effectively predict patient outcomes in EC, emphasizing the potential of molecular signatures in guiding treatment decisions (ref: Murakami doi.org/10.21037/atm-25-87/). The anatomical factors influencing surgical outcomes were also examined; Ariola et al. found that cervical diameter significantly affects the success of sentinel lymph node mapping, which is crucial for surgical staging in EC (ref: Ariola doi.org/10.1016/j.ygyno.2025.11.002/). Furthermore, Hirano et al. identified prognostic biomarkers for fertility-preserving hormonal therapy, demonstrating the utility of multigene panel testing in predicting treatment responses for patients with atypical hyperplasia and early-stage EC (ref: Hirano doi.org/10.1111/cas.70240/). These findings collectively underscore the need for personalized approaches in the management of endometrial cancer, integrating genetic, anatomical, and treatment response data to optimize patient outcomes.