Concurrent inactivating mutations in STK11 and KEAP1 drive primary resistance to therapies, leading to worse outcomes in KRAS-mutated lung adenocarcinoma (KRASmut LUAD), and are associated with metabolic alterations. Elucidation of the underlying biology of this aggressive LUAD subset is needed to develop effective treatments to improve patient outcomes. Our transcriptomic analysis of 5,498 "real-world" KRASmut LUADs demonstrated that STK11/KEAP1 co-mutation led to upregulation of fatty acid and redox signaling pathways and considerable enrichment of the metabolic genes SCD1 and SLC7A11. High expression of SCD1 and SLC7A11 predicted poor prognosis in KRASmut patients. Transcriptomics, lipidomics, and kinase arrays in preclinical models demonstrated that SCD1 inhibition promoted ferroptosis, altered fatty acid metabolism, and downregulated SLC7A11 via AKT-GSK3β-NRF2 signaling. SCD1 inhibition caused appreciable tumor regression in xenografts and augmented the efficacy of the ferroptosis inducer erastin. Overall, this study provides insights into the role of the SCD1-SLC7A11 axis in regulating metabolic programming and predicting poor patient outcomes in a genetically defined subset of KRASmut LUAD. SIGNIFICANCE: SCD1 and SLC7A11 are prognostic biomarkers and therapeutic targets for KRAS/STK11/KEAP1 co-mutant lung adenocarcinoma, which will refocus mechanistic studies and lead to treatment strategies for lung cancer.
SCD1 Inhibition Blocks the AKT-NRF2-SLC7A11 Pathway to Induce Lipid Metabolism Remodeling and Ferroptosis Priming in Lung Adenocarcinoma.
SCD1 抑制剂阻断 AKT-NRF2-SLC7A11 通路,诱导肺腺癌脂质代谢重塑和铁死亡启动
阅读:5
作者:Sen Utsav, Coleman Charles, Gandhi Nishant, Jethalia Vrinda, Demircioglu Deniz, Elliott Andrew, Vanderwalde Ari M, Hayatt Omar, de Stanchina Elisa, Halmos Balazs, Ma Patrick C, Berisa Mirela, Hasson Dan, Sen Triparna
| 期刊: | Cancer Research | 影响因子: | 16.600 |
| 时间: | 2025 | 起止号: | 2025 Jul 2; 85(13):2485-2503 |
| doi: | 10.1158/0008-5472.CAN-24-2745 | 研究方向: | 代谢 |
| 疾病类型: | 肺癌 | 信号通路: | PI3K/Akt |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
