Investigating the Role of Lactate-Related Genes in Radiotherapy Resistance of Lung Cancer by Integrated Bioinformatics and Experiment Validation

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experiments. Molecular docking was used to explore potential radiosensitizers. The analysis identified 1482 DEGs, with enrichment analysis highlighting lactate metabolism pathways. A risk score model was constructed using the lactate-related genes ADAMTS3, FADS2, and RTBDN to classify patients into high- and low-risk subgroups. Functional enrichment analysis revealed the model's impact on DNA repair and tumor immunity. A nomogram was developed for clinical implementation. Wet lab experiments further confirmed these findings. In conclusion, a novel risk score model based on lactate-related genes was developed to predict radiotherapy outcomes in lung cancer. FADS2 was identified as a potential biomarker for predicting resistance to radiotherapy. This study is the first to examine the predictive value of lactate-related genes for radiotherapy efficacy in lung cancer, offering valuable insights for personalized treatment strategies to improve therapeutic outcomes.

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