@article{10.1172/jci.insight.161940, author = {Wenjun Mao AND Yun Cai AND Danrong Chen AND Guanyu Jiang AND Yongrui Xu AND Ruo Chen AND Fengxu Wang AND Xuehai Wang AND Mingfeng Zheng AND Xinyuan Zhao AND Jie Mei}, journal = {JCI Insight}, publisher = {The American Society for Clinical Investigation}, title = {Statin shapes inflamed tumor microenvironment and enhances immune checkpoint blockade in non–small cell lung cancer}, year = {2022}, month = {9}, volume = {7}, url = {https://insight.jci.org/articles/view/161940}, abstract = {Immune checkpoint blockade (ICB) therapy has achieved breakthroughs in the treatment of advanced non–small cell lung cancer (NSCLC). Nevertheless, the low response due to immuno-cold (i.e., tumors with limited tumor-infiltrating lymphocytes) tumor microenvironment (TME) largely limits the application of ICB therapy. Based on the glycolytic/cholesterol synthesis axis, a stratification framework for EGFR-WT NSCLC was developed to summarize the metabolic features of immuno-cold and immuno-hot tumors. The cholesterol subgroup displays the worst prognosis in immuno-cold NSCLC, with significant enrichment of the cholesterol gene signature, indicating that targeting cholesterol synthesis is essential for the therapy for immuno-cold NSCLC. Statin, the inhibitor for cholesterol synthesis, can suppress the aggressiveness of NSCLC in vitro and in vivo and can also drastically reverse the phenotype of immuno-cold to an inflamed phenotype in vivo. This change led to a higher response to ICB therapy. Moreover, both our in-house data and meta-analysis further support that statin can significantly enhance ICB efficacy. In terms of preliminary mechanisms, statin could transcriptionally inhibit PD-L1 expression and induce ferroptosis in NSCLC cells. Overall, we reveal the significance of cholesterol synthesis in NSCLC and demonstrate the improved therapeutic efficacy of ICB in combination with statin. These findings could provide a clinical insight to treat NSCLC patients with immuno-cold tumors.}, number = {18}, doi = {10.1172/jci.insight.161940}, url = {https://doi.org/10.1172/jci.insight.161940}, }