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肾透明细胞癌预后离子稳态特征的识别与分析

Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma.

作者信息

Zhang Xiangmin, Qian Xiongxian, Zhao Yong, Ye Maofei, Li Liyang, Chu Jian

机构信息

Department of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, China.

出版信息

Heliyon. 2025 Jan 6;11(2):e41736. doi: 10.1016/j.heliyon.2025.e41736. eCollection 2025 Jan 30.

DOI:10.1016/j.heliyon.2025.e41736
PMID:39897849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11782977/
Abstract

Kidney renal clear cell carcinoma (KIRC), a prevalent primary malignant tumor within the urinary system, is characterized by significant heterogeneity. It has been shown that ion channels are important targets for anti-tumor therapy. In this study, we screened 70 selected KIRC related ion homeostasis genes with significant differential expression. We established diagnostic and prognostic models for 15 genes (PDK4, JPH4, ATP1A3, CCL7, CYP27B1, ABCB6, TNFSF11, MCHR1, TNNI3, ANGPTL3, Ednrb, SAA1, Chrna9, TMPRSS6, CCL14) by LASSO regression in the TCGA-KIRC cohort. We also provided a nomogram based on ion homeostasis for clinicians to explore the combined effect of the risk model on clinical variables. Patients in the low-risk group have a significant survival advantage. The potential clinical benefit of our predicted 15 gene signatures in clinical strategies was validated by Calibration Curves and DCA curves. Ultimately, the immune microenvironment and enrichment pathways were analyzed among individuals categorized as high-risk and low-risk. The predictable ion homeostasis-associated 15 gene signature established in this study predicts overall survival outcomes in patients with KIRC, to some extent helping clinicians to select personalized treatment regimens.

摘要

肾透明细胞癌(KIRC)是泌尿系统中一种常见的原发性恶性肿瘤,具有显著的异质性。研究表明,离子通道是抗肿瘤治疗的重要靶点。在本研究中,我们筛选了70个具有显著差异表达的KIRC相关离子稳态基因。我们在TCGA-KIRC队列中通过LASSO回归建立了15个基因(PDK4、JPH4、ATP1A3、CCL7、CYP27B1、ABCB6、TNFSF11、MCHR1、TNNI3、ANGPTL3、Ednrb、SAA1、Chrna9、TMPRSS6、CCL14)的诊断和预后模型。我们还为临床医生提供了一个基于离子稳态的列线图,以探讨风险模型对临床变量的综合影响。低风险组患者具有显著的生存优势。校准曲线和DCA曲线验证了我们预测的15个基因特征在临床策略中的潜在临床益处。最终,我们分析了高风险和低风险个体之间的免疫微环境和富集途径。本研究中建立的可预测的与离子稳态相关的15个基因特征可预测KIRC患者的总体生存结果,在一定程度上帮助临床医生选择个性化的治疗方案。

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本文引用的文献

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