The integration of genetic testing into precision oncology has shown promise in identifying patients with hereditary cancer syndromes, particularly in the context of rare cancers. A study highlighted the importance of germline variant analysis within the MASTER trial, revealing that such evaluations can guide treatment decisions and enhance patient outcomes. The routine implementation of these evaluations, alongside standardized workflows, is expected to improve clinical benefits and facilitate further research into genetic predispositions in cancer (ref: Jahn doi.org/10.1016/j.annonc.2022.07.008/). In the realm of histopathology, a novel deep learning-based approach has been developed for recognizing mitosis in uterine leiomyosarcoma, which is crucial for accurate diagnosis and grading. This method addresses the challenges posed by the tumor's similarity to benign neoplasms, thereby potentially improving diagnostic accuracy and patient management (ref: Zehra doi.org/10.3390/cancers14153785/). The convergence of genetic insights and advanced diagnostic techniques underscores a transformative shift in the management of sarcomas, paving the way for more personalized treatment strategies.