2. Academic Validation
  3. Harnessing glycolysis- and cholesterol synthesis-related genes for prognostic modeling in lung adenocarcinoma

Harnessing glycolysis- and cholesterol synthesis-related genes for prognostic modeling in lung adenocarcinoma

  • Comput Methods Biomech Biomed Engin. 2025 Sep 17:1-19. doi: 10.1080/10255842.2025.2559045.
Jiyun Wang 1,  Tianwei Liu 1,  Haiyang Li 1,  Bofeng Hou 1,  Yanan Zhao 1,  Feng Kai 1,  Haoyin Tian 1,  Yang Li 1,  Bengang Liu 1
Affiliations

Affiliation

  • 1 Thoracic Surgery Department, Hebei Petro China Central Hospital, Langfang, China.
PMID: 40959888 DOI: 10.1080/10255842.2025.2559045
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.

Keywords

Cholesterol; glycolysis; lung adenocarcinoma; molecular docking; prognosis.

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