Yu Peize, Zhong Qikai, Wang Xinlei, Liu Yifang, Liu Qiang, Zhang Yuqiang, Lu Jiawei, Dong Yang, Han Cong-Hui
Department of Urology, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Department of Urology, Xuzhou Central Hospital, Xuzhou, Jiangsu, China.
Front Immunol. 2025 Jul 31;16:1636977. doi: 10.3389/fimmu.2025.1636977. eCollection 2025.
BACKGROUND: Clear cell renal cell carcinoma (KIRC) is the most aggressive renal carcinoma subtype of renal carcinoma, characterized by high mortality, early metastasis, and resistance to treatment. Ammonia-induced cell death (AICD) has recently been identified as a novel metabolic mechanism influencing tumor progression, yet its prognostic implication and regulatory networks in KIRC remain underexplored. METHODS: Transcriptomic and clinical information from the TCGA-KIRC cohort and the validation cohort (E-MTAB-1980) were analyzed. Differentially expressed AICD-related genes were identified through differential expression analysis, univariate Cox regression, and machine learning algorithms (LASSO, random forest, and CoxBoost). A prognostic risk model was developed via multivariate Cox regression. Spatial and single-cell transcriptomics were employed to characterize the immune microenvironment heterogeneity. Cell-based experiments were performed to investigate the potential involvement of in KIRC. Molecular docking and pan-cancer analyses were conducted to identify therapeutic candidates and ATP1A1-related mechanisms. RESULTS: Five AICD-related genes (, , , , and ) were identified and selected to construct a risk score model. The model demonstrated high accuracy and was integrated into a nomogram for clinical application. High-risk (HR) patients exhibited immunosuppressive microenvironments, elevated tumor mutational burden (TMB), and genomic instability. functional assays confirmed that knockdown significantly enhanced the proliferative, migratory, and invasive capabilities of renal carcinoma cells (A498 and 786-O), suggesting a suppressive role for in malignant tumor progression. , a core gene, was associated with metabolic reprogramming and chemotherapy sensitivity across multiple cancers. Molecular docking revealed Emodinanthrone as a high-affinity ligand for (-6.8 kcal/mol). CONCLUSION: This study identifies an AICD-associated gene signature as a robust prognostic tool for KIRC, revealing its interactions with immune evasion and genomic instability. is proposed as a promising therapeutic target, with Emodinanthrone emerging as a novel drug candidate. These findings contribute to the advancement of personalized treatment strategies for KIRC patients.
背景:透明细胞肾细胞癌(KIRC)是肾癌中侵袭性最强的亚型,具有高死亡率、早期转移和治疗抵抗的特点。氨诱导细胞死亡(AICD)最近被确定为一种影响肿瘤进展的新型代谢机制,但其在KIRC中的预后意义和调控网络仍未得到充分探索。 方法:分析了来自TCGA-KIRC队列和验证队列(E-MTAB-1980)的转录组学和临床信息。通过差异表达分析、单变量Cox回归和机器学习算法(LASSO、随机森林和CoxBoost)鉴定差异表达的AICD相关基因。通过多变量Cox回归建立预后风险模型。采用空间和单细胞转录组学来表征免疫微环境异质性。进行基于细胞的实验以研究其在KIRC中的潜在作用。进行分子对接和泛癌分析以鉴定治疗候选物和ATP1A1相关机制。 结果:鉴定并选择了五个AICD相关基因(、、、和)来构建风险评分模型。该模型显示出高准确性,并被整合到用于临床应用的列线图中。高危(HR)患者表现出免疫抑制微环境、肿瘤突变负担(TMB)升高和基因组不稳定。功能实验证实敲低显著增强了肾癌细胞(A498和786-O)的增殖、迁移和侵袭能力,表明其在恶性肿瘤进展中起抑制作用。作为核心基因,与多种癌症的代谢重编程和化疗敏感性相关。分子对接显示大黄素蒽酮是其高亲和力配体(-6.8 kcal/mol)。 结论:本研究确定了一种AICD相关基因特征作为KIRC的强大预后工具,揭示了其与免疫逃逸和基因组不稳定的相互作用。被提议作为一个有前景的治疗靶点,大黄素蒽酮成为一种新型药物候选物。这些发现有助于推进KIRC患者的个性化治疗策略。
Comb Chem High Throughput Screen. 2025
Biochem Biophys Res Commun. 2025-5-29
Cell Death Discov. 2025-4-3
Sci Adv. 2025-3-7
J Mol Cell Biol. 2025-3-6
Biomedicines. 2025-1-13
Adv Biol (Weinh). 2025-3