Jiyun Wang, Tianwei Liu, Haiyang Li, Bofeng Hou, Yanan Zhao, Feng Kai, Haoyin Tian, Yang Li, Bengang Liu
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引用次数: 0
Abstract
This study aimed to construct a prognostic model for LUAD based on glycolysis- and cholesterol synthesis-related genes (GCSRGs). By performing regression analyses on expression profiles and clinical data from public databases, we established a robust risk stratification system. The results revealed significant survival differences between high- and low-risk groups, with the low-risk group exhibiting stronger immune cell infiltration and higher immune scores. Drug sensitivity analysis suggested that amonafide, AM-5992, and AZD-3147 may serve as potential therapeutic candidates. In conclusion, this model enables precise survival prediction and provides valuable insights for personalized immunotherapy and targeted treatment.
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.