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基于泛素结合酶E2相关基因解析透明细胞肾细胞癌的潜在分子机制:鉴定与调节性T细胞浸润相关的UBE2C

Deciphering potential molecular mechanisms in clear cell renal cell carcinoma based on the ubiquitin-conjugating enzyme E2 related genes: Identifying UBE2C correlates to infiltration of regulatory T cells.

作者信息

Feng Xiaoqiang, Wang Zhenwei, Cen Meini, Zheng Zongtai, Wang Bangqi, Zhao Zongxiang, Zhong Zhihui, Zou Yesong, Lv Qian, Li Shiyu, Huang Li, Huang Hai, Qiu Xiaofu

机构信息

Center of Stem Cell and Regenerative Medicine, Gaozhou People's Hospital, Gaozhou, Guangdong, China.

Department of Urology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, China.

出版信息

Biofactors. 2025 Jan-Feb;51(1):e2143. doi: 10.1002/biof.2143. Epub 2024 Nov 29.

Abstract

Renal clear cell carcinoma (ccRCC) is a highly aggressive and common form of kidney cancer, with limited treatment options for advanced stages. Recent studies have highlighted the importance of the ubiquitin-proteasome system in tumor progression, particularly the role of ubiquitin-conjugating enzyme E2 (UBE2) family members. However, the prognostic significance of UBE2-related genes (UBE2RGs) in ccRCC remains unclear. In this study, bulk RNA-sequencing and single-cell RNA-sequencing data from ccRCC patients were retrieved from the Cancer Genome Atlas and Gene Expression Omnibus databases. Differential expression analysis was performed to identify UBE2RGs associated with ccRCC. A combination of 10 machine learning methods was applied to develop an optimal prognostic model, and its predictive performance was evaluated using area under the curve (AUC) values for 1-, 3-, and 5-year overall survival (OS) in both training and validation cohorts. Functional enrichment analyses of gene ontology and Kyoto Encyclopedia of Genes and Genomes were conducted to explore the biological pathways involved. Correlation analysis was conducted to investigate the association between the risk score and tumor mutational burden (TMB) and immune cell infiltration. Immunotherapy and chemotherapy sensitivity were assessed by immunophenoscore and tumor immune, dysfunction, and exclusion scores to identify potential predictive significance. In vitro, knockdown of the key gene UBE2C in 786-O cells by specific small interfering RNA to validate its impact on apoptosis, migration, cell cycle, migration, invasion of tumor cells, and induction of regulatory T cells (Tregs). Analysis of sc-RNA revealed that UBE2 activity was significantly upregulated in malignant cells, suggesting its role in tumor progression. A three-gene prognostic model comprising UBE2C, UBE2D3, and UBE2T was constructed by Lasoo Cox regression and demonstrated robust predictive accuracy, with AUC values of 0.745, 0.766, and 0.771 for 1-, 3-, and 5-year survival, respectively. The model was validated as an independent prognostic factor in ccRCC. Patients in the high-risk group had a worse prognosis, higher TMB scores, and low responsiveness to immunotherapy. Additionally, immune infiltration and chemotherapy sensitivity analyses revealed that UBE2RGs are associated with various immune cells and drugs, suggesting that UBE2RGs could be a potential therapeutic target for ccRCC. In vitro experiments confirmed that the reduction of UBE2C led to an increase in apoptosis rate, as well as a decrease in tumor cell invasion and metastasis abilities. Additionally, si-UBE2C cells reduced the release of the cytokine Transforming Growth Factor-beta 1 (TGF-β1), leading to a decreased ratio of Tregs in the co-culture system. This study presents a novel three-gene prognostic model based on UBE2RGs that demonstrates significant predictive value for OS, immunotherapy, and chemotherapy in ccRCC patients. The findings underscore the potential of UBE2 family members as biomarkers and therapeutic targets in ccRCC, warranting further investigation in prospective clinical trials.

摘要

肾透明细胞癌(ccRCC)是一种侵袭性很强且常见的肾癌形式,晚期治疗选择有限。最近的研究强调了泛素 - 蛋白酶体系统在肿瘤进展中的重要性,特别是泛素结合酶E2(UBE2)家族成员的作用。然而,UBE2相关基因(UBE2RGs)在ccRCC中的预后意义仍不清楚。在本研究中,从癌症基因组图谱和基因表达综合数据库中检索了ccRCC患者的批量RNA测序和单细胞RNA测序数据。进行差异表达分析以鉴定与ccRCC相关的UBE2RGs。应用10种机器学习方法的组合来开发最佳预后模型,并使用训练和验证队列中1年、3年和5年总生存期(OS)的曲线下面积(AUC)值评估其预测性能。进行基因本体和京都基因与基因组百科全书的功能富集分析,以探索所涉及的生物学途径。进行相关性分析以研究风险评分与肿瘤突变负担(TMB)和免疫细胞浸润之间的关联。通过免疫表型评分和肿瘤免疫、功能障碍和排除评分评估免疫治疗和化疗敏感性,以确定潜在的预测意义。在体外,通过特异性小干扰RNA敲低786 - O细胞中的关键基因UBE2C,以验证其对肿瘤细胞凋亡、迁移、细胞周期、侵袭以及调节性T细胞(Tregs)诱导的影响。单细胞RNA分析显示,UBE2活性在恶性细胞中显著上调,表明其在肿瘤进展中的作用。通过Lasoo Cox回归构建了一个由UBE2C、UBE2D3和UBE2T组成的三基因预后模型,该模型显示出强大的预测准确性,1年、3年和5年生存率的AUC值分别为0.745、0.766和0.771。该模型被验证为ccRCC的独立预后因素。高危组患者预后较差,TMB评分较高,对免疫治疗反应较低。此外,免疫浸润和化疗敏感性分析表明,UBE2RGs与多种免疫细胞和药物相关,提示UBE2RGs可能是ccRCC的潜在治疗靶点。体外实验证实,UBE2C的减少导致凋亡率增加,以及肿瘤细胞侵袭和转移能力下降。此外,si - UBE2C细胞减少了细胞因子转化生长因子 - β1(TGF - β1)的释放,导致共培养系统中Tregs比例降低。本研究提出了一种基于UBE2RGs的新型三基因预后模型,该模型对ccRCC患者的OS、免疫治疗和化疗具有显著的预测价值。这些发现强调了UBE2家族成员作为ccRCC生物标志物和治疗靶点的潜力,值得在前瞻性临床试验中进一步研究。

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