Background/Aim: Glioblastoma is the most malignant form of astrocytoma. The purpose of this study was to analyze the genetic characteristics of primary and recurrent glioblastomas using targeted sequencing and investigate the differences in mutational profiles between the locations of tumor recurrence. Materials and Methods: Fourteen glioblastoma patients who developed local (n=10) or distal (n=4) recurrence were included in the study. Targeted sequencing analysis was performed using the primary (n=14) and corresponding recurrent (n=14) tumor tissue samples. Results: The local and distal recurrence groups showed different genetic evolutionary patterns. Most of the locally recurrent glioblastomas demonstrated concordant mutational profiles between the primary and recurrent tumors, suggesting a linear evolution. In contrast, all cases of distally recurrent glioblastomas showed changes in mutational profiles with newly acquired mutations when compared to the corresponding primary tumors, suggesting a branching evolution. Conclusion: Locally and distally recurrent glioblastomas exhibit different evolutionary patterns. Glioblastoma is the most common malignant tumor of the central nervous system (1-9). The current standard treatment for glioblastoma involves surgical resection, followed by concurrent chemoradiation therapy and adjuvant chemotherapy using temozolomide (8-12). Due to the invasive nature of glioblastoma, surgical resection rarely eliminates all tumor cells, and postoperative treatment is usually necessary to prevent disease recurrence. Despite the advances made in therapeutic strategies, the prognosis of patients with glioblastoma remains very poor, with an average survival of 15 months (13-15) and disease recurrence being the major cause of mortality (16-18). Recurrent glioblastomas tend to be more invasive and resistant to chemotherapy than primary tumors. An understanding of the genetic characteristics of recurrent glioblastoma is crucial for identifying potential targets for drug discovery, stratifying patients for diagnosis, and optimizing an effective treatment strategy. Previous studies have shown the molecular features of recurrent glioblastomas. In particular, the mutational profiles observed in recurrent glioblastomas were compared to those of the corresponding primary tumors (19-21). However, there is a lack of studies exploring the differences in mutational profiles between recurrent glioblastomas at different sites (21, 22). In this study, we investigated the mutational profiles of primary and recurrent glioblastomas using 803 This article is freely accessible online.