Zhao Shu, Lin Xiaojing, Huang Yuying, Kang Zhongmin, Luo Huali, Zhang Qizhu, Li Qinshan, Li Mengxing
Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Department of Obstetrics and Gynecology, Institute of Precision Medicine of Guizhou Province, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Hum Mutat. 2025 Jul 15;2025:8369299. doi: 10.1155/humu/8369299. eCollection 2025.
Numerous studies have emphasized the importance of the ubiquitin-proteasome system (UPS) in the malignant progression of ovarian cancer (OC). However, whether ubiquitination-related genes (UbRGs) can be used to predict the prognosis of OC remains to be revealed. Patients with OC were divided into two clusters based on the expression of UbRGs, and prognosis was compared between the two clusters. A prognostic model was established based on UbRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves, and a nomogram. Immune infiltration and gene mutation analyses were used to examine the effects of UbRGs on the prognosis of OC. The prognostic model served as a valid and independent predictor of OC prognosis. Immune infiltration revealed that the unique immune microenvironment of OC was regulated by UbRGs. Gene mutation analysis indicates that UbRGs likely influence OC malignant behavior by modulating gene mutation patterns. In addition, Ube2j1 was found to play an important role in regulating the malignant progression of OC. Furthermore, the mechanism by which Ube2j1 modulates the OC phenotype and reshapes its immune microenvironment via the JAK2/STAT3/PD-L1 pathway was elucidated, providing novel insights into the potential for ubiquitination-based immunotherapy in OC. This study provides novel insights into precision immunotherapy based on UbRGs in OC. The UbRGs-based prognostic model may help to provide novel insights for the application of ubiquitination-based immunotherapy in OC.
众多研究强调了泛素-蛋白酶体系统（UPS）在卵巢癌（OC）恶性进展中的重要性。然而，泛素化相关基因（UbRGs）是否可用于预测OC的预后仍有待揭示。根据UbRGs的表达将OC患者分为两个亚组，并比较了两个亚组之间的预后情况。基于UbRGs建立了一个预后模型，并使用Kaplan-Meier（K-M）曲线、受试者工作特征（ROC）曲线和列线图验证了其预测效率。通过免疫浸润和基因突变分析来研究UbRGs对OC预后的影响。该预后模型是OC预后的有效且独立的预测指标。免疫浸润显示，OC独特的免疫微环境受UbRGs调控。基因突变分析表明，UbRGs可能通过调节基因突变模式影响OC的恶性行为。此外，发现Ube2j1在调控OC的恶性进展中起重要作用。此外，阐明了Ube2j1通过JAK2/STAT3/PD-L1途径调节OC表型并重塑其免疫微环境的机制，为基于泛素化的OC免疫治疗潜力提供了新见解。本研究为基于UbRGs的OC精准免疫治疗提供了新见解。基于UbRGs的预后模型可能有助于为基于泛素化的免疫治疗在OC中的应用提供新见解。
