Prognostic Value of Ubiquitination-Related Genes in Ovarian Cancer and Their Correlation With Tumor Immunity

IF 3.7 2区医学 Q2 GENETICS & HEREDITY

Human Mutation Pub Date : 2025-07-15 DOI:10.1155/humu/8369299

Shu Zhao, Xiaojing Lin, Yuying Huang, Zhongmin Kang, Huali Luo, Qizhu Zhang, Qinshan Li, Mengxing Li

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Abstract

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.

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泛素化相关基因在卵巢癌中的预后价值及其与肿瘤免疫的相关性

大量研究强调了泛素-蛋白酶体系统（UPS）在卵巢癌（OC）恶性进展中的重要性。然而，是否可以利用泛素化相关基因（UbRGs）来预测OC的预后仍有待研究。根据ubrg的表达情况将OC患者分为两组，比较两组患者的预后。建立基于ubrg的预后模型，并通过Kaplan-Meier （K-M）曲线、受试者工作特征（ROC）曲线和nomogram验证其预测效果。通过免疫浸润和基因突变分析来研究UbRGs对OC预后的影响。该预后模型可作为一种有效且独立的预测预后指标。免疫浸润显示OC特有的免疫微环境受UbRGs调控。基因突变分析表明，UbRGs可能通过调节基因突变模式来影响OC的恶性行为。此外，我们发现Ube2j1在调节OC的恶性进展中发挥重要作用。此外，Ube2j1通过JAK2/STAT3/PD-L1通路调节OC表型并重塑其免疫微环境的机制被阐明，为基于泛素化的OC免疫治疗的潜力提供了新的见解。这项研究为基于UbRGs的卵巢癌精准免疫治疗提供了新的见解。基于ubrgs的预后模型可能有助于为泛素化免疫治疗在OC中的应用提供新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Mutation 医学-遗传学

CiteScore

8.40

自引率

5.10%

发文量

190

审稿时长

2 months

期刊介绍： Human Mutation is a peer-reviewed journal that offers publication of original Research Articles, Methods, Mutation Updates, Reviews, Database Articles, Rapid Communications, and Letters on broad aspects of mutation research in humans. Reports of novel DNA variations and their phenotypic consequences, reports of SNPs demonstrated as valuable for genomic analysis, descriptions of new molecular detection methods, and novel approaches to clinical diagnosis are welcomed. Novel reports of gene organization at the genomic level, reported in the context of mutation investigation, may be considered. The journal provides a unique forum for the exchange of ideas, methods, and applications of interest to molecular, human, and medical geneticists in academic, industrial, and clinical research settings worldwide.