journal article·2026-03Open access

Cholesterol Promotes Lung Adenocarcinoma Brain Metastasis by Stabilizing EGFR Protein to Drive EMT, Metabolic Reprogramming, and Premetastatic Niche Formation

Ying Chen, Xiaoteng Cui, Xinyi Shi, Xu Yang, Yujing Cao, Haolin LI, Qi Zhan, Qixue Wang, Ang Li, Qihong Cheng, Yunfei Wang, Junhu Zhou, MingJie Wang, Chunsheng Kang, Xiaomin Liu

Advanced Science· Volume 13· Issue 17

Abstract

ABSTRACT Brain metastasis is a major cause of mortality in advanced lung adenocarcinoma (LUAD). Accumulating evidence indicates that dysregulated lipid metabolism contributes to metastatic colonization; however, how cholesterol functions as a downstream effector within established lipid‐metabolic programs to regulate key steps of the LUAD brain metastasis (LUAD‐BM) cascade remains incompletely defined. Here, we demonstrate that cholesterol directly engages EGFR and stabilizes its membrane localization by blocking ubiquitin–proteasome–mediated degradation, thereby sustaining AKT/NF‐κB signaling. This signaling axis promotes glycolytic reprogramming and epithelial–mesenchymal transition in LUAD cells, enhancing metastatic capacity and resistance to TKIs. Cholesterol also disrupts blood–brain barrier integrity by reducing endothelial membrane fluidity and accelerating Claudin‐5 ubiquitination and degradation. Within the brain microenvironment, cholesterol directly interacts with IL‐4Rα, facilitating its recruitment into lipid rafts and activation of JAK1/STAT6 signaling, which drives microglial M2 polarization and establishes a permissive pre‐metastatic niche. The cholesterol‐lowering drug atorvastatin reverses these tumor‐intrinsic and microenvironmental effects and suppresses LUAD brain metastasis in vivo. Retrospective clinical analyses further show that hypercholesterolemia is associated with shortened survival in LUAD‐BM patients, whereas statin use correlates with improved outcomes. These findings identify cholesterol as a functional mediator downstream of lipid‐metabolic dysregulation and therapeutic target in LUAD‐BM.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cancer, Lipids, and Metabolism · Brain Metastases and Treatment · Glioma Diagnosis and Treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Neuro‐Oncology Center Huanhu Hospital Affiliated to Tianjin Medical University Tianjin China

Laboratory of Neuro‐oncology Tianjin Neurological Institute Tianjin Medical University General Hospital Tianjin China

Neuro‐Oncology Center Huanhu Hospital Affiliated to Tianjin University Tianjin China

Funding

National Natural Science Foundation of China

References (62)

Show source-provided references
1. 10.3322/caac.2180810.3322/caac.21808 ↗
2. 10.1016/j.semcancer.2021.12.00910.1016/j.semcancer.2021.12.009 ↗
3. 10.1001/jamaoncol.2021.493210.1001/jamaoncol.2021.4932 ↗
4. 10.1200/JCO.20.0125510.1200/JCO.20.01255 ↗
5. 10.1200/JCO.21.0162610.1200/JCO.21.01626 ↗
6. 10.1038/s41571-023-00808-410.1038/s41571-023-00808-4 ↗
7. 10.1186/s12943-018-0801-510.1186/s12943-018-0801-5 ↗
8. 10.1016/j.cell.2021.12.04310.1016/j.cell.2021.12.043 ↗
9. 10.1038/s41568-019-0220-y10.1038/s41568-019-0220-y ↗
10. 10.1038/s43018-023-00585-010.1038/s43018-023-00585-0 ↗
11. 10.1016/j.jtho.2021.03.01610.1016/j.jtho.2021.03.016 ↗
12. 10.1016/j.biomaterials.2022.12198310.1016/j.biomaterials.2022.121983 ↗
13. 10.1038/s41568-019-0224-710.1038/s41568-019-0224-7 ↗
14. 10.1002/oby.2344410.1002/oby.23444 ↗
15. 10.1002/cncr.3531810.1002/cncr.35318 ↗
16. Endometrial Cancer Risk in Relation to Serum Lipids and Lipoprotein Levels
17. Serum Total Cholesterol and Triglycerides Levels in Patients with Lung Cancer
18. Total Serum Cholesterol and Triglycerides and Risk of Breast Cancer: A Prospective Study of 24,329 Norwegian Women
19. Joint committee for guideline revision, "2016 Chinese Guidelines for the Management of Dyslipidemia in Adults
20. 10.1093/annonc/mdr15510.1093/annonc/mdr155 ↗
21. 10.1016/j.drup.2019.10067010.1016/j.drup.2019.100670 ↗
22. 10.1038/s41467-017-00910-z10.1038/s41467-017-00910-z ↗
23. 10.1158/0008-5472.CAN-18-329510.1158/0008-5472.CAN-18-3295 ↗
24. 10.1186/s12943-022-01547-310.1186/s12943-022-01547-3 ↗
25. 10.1038/s41586-020-2969-210.1038/s41586-020-2969-2 ↗
26. 10.1038/s43018-021-00183-y10.1038/s43018-021-00183-y ↗
27. 10.1038/s43018-023-00563-610.1038/s43018-023-00563-6 ↗
28. 10.1200/JCO.2015.64.232210.1200/JCO.2015.64.2322 ↗
29. 10.1038/s41392-021-00773-310.1038/s41392-021-00773-3 ↗
30. 10.3389/fonc.2021.68291110.3389/fonc.2021.682911 ↗
31. 10.1126/sciadv.abq472210.1126/sciadv.abq4722 ↗
32. 10.1038/nrc262010.1038/nrc2620 ↗
33. 10.1016/j.canlet.2018.07.03610.1016/j.canlet.2018.07.036 ↗
34. 10.3390/cancers1319498510.3390/cancers13194985 ↗
35. 10.7150/ijbs.10918710.7150/ijbs.109187 ↗
36. 10.3389/fcell.2021.72291710.3389/fcell.2021.722917 ↗
37. 10.1016/j.ccell.2025.01.00810.1016/j.ccell.2025.01.008 ↗
38. 10.1016/j.immuni.2021.09.01410.1016/j.immuni.2021.09.014 ↗
39. 10.1016/j.neuron.2019.08.02810.1016/j.neuron.2019.08.028 ↗
40. 10.1007/s10753-023-01917-z10.1007/s10753-023-01917-z ↗
41. 10.1126/science.117462110.1126/science.1174621 ↗
42. 10.1038/s41392-022-00872-910.1038/s41392-022-00872-9 ↗
43. 10.1093/brain/awab01210.1093/brain/awab012 ↗
44. 10.1002/1878-0261.1208310.1002/1878-0261.12083 ↗
45. 10.1016/j.gendis.2024.10137410.1016/j.gendis.2024.101374 ↗
46. 10.1186/s40880-018-0301-410.1186/s40880-018-0301-4 ↗
47. 10.3390/ijms24121005510.3390/ijms241210055 ↗
48. 10.1172/JCI17073310.1172/JCI170733 ↗
49. 10.1007/s00018-023-04934-110.1007/s00018-023-04934-1 ↗
50. 10.1038/nature1575610.1038/nature15756 ↗
51. 10.1016/j.ccr.2014.03.00710.1016/j.ccr.2014.03.007 ↗
52. 10.7150/thno.4078310.7150/thno.40783 ↗
53. 10.1056/NEJMoa161267410.1056/NEJMoa1612674 ↗
54. 10.1158/2159-8290.CD-21-091010.1158/2159-8290.CD-21-0910 ↗
55. 10.3390/cells1405035310.3390/cells14050353 ↗
56. Statins for the Primary Prevention of Venous Thromboembolism
57. 10.1016/j.cell.2023.02.01510.1016/j.cell.2023.02.015 ↗
58. 10.1038/s43018-021-00195-810.1038/s43018-021-00195-8 ↗
59. 10.1056/NEJMoa230459410.1056/NEJMoa2304594 ↗
60. 10.1186/s12964-023-01082-810.1186/s12964-023-01082-8 ↗
61. 10.1002/ijc.3390410.1002/ijc.33904 ↗
62. 10.1038/s41467-025-60730-410.1038/s41467-025-60730-4 ↗