肝细胞癌预后和免疫景观预测的钾通道相关标志。

IF 1.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Hormone and Metabolic Research Pub Date : 2025-04-01 Epub Date: 2025-02-24 DOI:10.1055/a-2545-1439
Xiao He, Yanli Lan, Yushan Li
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引用次数: 0

摘要

钾通道相关基因(PCRGs)在肝细胞癌(HCC)的发展、复发和免疫治疗耐受中发挥重要作用。我们旨在建立一种新的与PCRGs相关的预后模型,用于HCC患者的预后和免疫治疗预测。与HCC相关的转录谱和临床数据来自The Cancer Genome Atlas (TCGA)和Gene Expression Omnibus (GEO)数据库。使用“edgeR”包鉴定差异表达的pcr基因。采用单因素分析、最小绝对收缩和选择算子(LASSO)和多因素回归分析构建与pcr相关的预后模型。通过Kaplan-Meier (K-M)生存分析和受试者工作特征(ROC)曲线评价模型的预后价值。此外,使用单样本基因集富集分析(ssGSEA)和CIBERSORT算法评估肿瘤免疫微环境。最后,对靶向特征基因的潜在药物进行了预测。我们成功构建了基于pcr的预后标记,低风险组的预后结果优于对照组。nomogram在HCC患者总生存期(OS)的预测中表现出令人满意的效果。免疫细胞浸润的结果和免疫治疗反应的预测显示,低风险组对免疫治疗表现出更有利的反应。此外,特征基因表达与抗肿瘤药物敏感性显著相关。综上所述,PCRGs的特征可作为准确评估HCC患者预后和肿瘤微环境的有价值工具。此外,pcr标记物可以促进HCC治疗的精准治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Potassium Channel-Related Signature for Prognosis and Immune Landscape Prediction of Hepatocellular Carcinoma.

Potassium channel-related genes (PCRGs) play an important role in hepatocellular carcinoma (HCC) development, recurrence, and immunotherapy tolerance. We aimed to develop a new prognostic model associated with PCRGs that can be used for prognosis and immunotherapy prediction in HCC patients. The transcriptional profiles and clinical data related to HCC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differentially expressed PCRGs were identified using the "edgeR" package. Prognostic model associated with PCRGs were constructed using univariate analysis, least absolute shrinkage and selection operator (LASSO), and multivariate regression analysis. The prognostic value of the model was evaluated through Kaplan-Meier (K-M) survival analysis and receiver operating characteristic (ROC) curves. Additionally, the tumor immune microenvironment was assessed using single sample gene set enrichment analysis (ssGSEA) and the CIBERSORT algorithm. Finally, potential drugs targeting signature genes were predicted. We successfully constructed a prognostic signature based on PCRGs, and the prognostic results were superior in the low-risk group. The nomogram demonstrated satisfactory predictive performance in estimating overall survival (OS) in HCC patients. The results of immune cell infiltration and predictions of immunotherapy response revealed that the low-risk group exhibited a more favorable response to immunotherapy. In addition, signature gene expression was significantly correlated with antitumor drug sensitivity. In conclusion, the characteristics of PCRGs serve as valuable tools for accurately assessing the prognosis and tumor microenvironment of HCC patients. Additionally, PCRGs markers can facilitate precision therapy in HCC management.

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来源期刊
Hormone and Metabolic Research
Hormone and Metabolic Research 医学-内分泌学与代谢
CiteScore
3.80
自引率
0.00%
发文量
125
审稿时长
3-8 weeks
期刊介绍: Covering the fields of endocrinology and metabolism from both, a clinical and basic science perspective, this well regarded journal publishes original articles, and short communications on cutting edge topics. Speedy publication time is given high priority, ensuring that endocrinologists worldwide get timely, fast-breaking information as it happens. Hormone and Metabolic Research presents reviews, original papers, and short communications, and includes a section on Innovative Methods. With a preference for experimental over observational studies, this journal disseminates new and reliable experimental data from across the field of endocrinology and metabolism to researchers, scientists and doctors world-wide.
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