Prognostic model based on KCNK family genes for predicting prognosis and immunotherapy response in lung adenocarcinoma patients.

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-28 DOI:10.1080/10255842.2025.2532809

Li Xu, Danting Zheng, Jisong Zhang, Huihui Hu, Liangliang Dong, Enguo Chen

引用次数: 0

Abstract

The tow-pore domain (KCNK) potassium channel family is associated with tumor progression, but its prognostic value in lung adenocarcinoma (LUAD) remains unclear. In this study, we integrated data from the TCGA and GEO databases to identify 9 KCNK-related differentially expressed genes, and based on this, we classified two molecular subtypes with significantly different prognoses. A 11-gene prognostic model with independent prognostic value was constructed through regression analysis. Immuno-analysis revealed that the low-risk group had stronger immune infiltration and might be more suitable for immunotherapy. These findings reveal the prognostic significance of the KCNK genes and provide a reference for immunotherapy.

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基于KCNK家族基因预测肺腺癌患者预后和免疫治疗反应的预后模型。

双孔结构域（KCNK）钾通道家族与肿瘤进展有关，但其在肺腺癌（LUAD）中的预后价值尚不清楚。在这项研究中，我们整合了TCGA和GEO数据库的数据，鉴定了9个kcnk相关的差异表达基因，并在此基础上分类了两种预后差异显著的分子亚型。通过回归分析，构建具有独立预后价值的11基因预后模型。免疫分析显示低危组免疫浸润更强，可能更适合免疫治疗。这些发现揭示了KCNK基因的预后意义，并为免疫治疗提供了参考。

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

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.