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Therapy-induced cholesterol biosynthesis drives lung cancer dormancy and drug resistance
Yikai Zhao, Yijia Zhou, Linnuo Pan, Geng G. Tian, Hsin-Yi Huang, Shijie Tang, Ming Lu, Zhangsen Zhou, Peng Zhang, Luonan Chen, Lele Zhang, Liang Hu, Hongbin Ji
Yikai Zhao, Yijia Zhou, Linnuo Pan, Geng G. Tian, Hsin-Yi Huang, Shijie Tang, Ming Lu, Zhangsen Zhou, Peng Zhang, Luonan Chen, Lele Zhang, Liang Hu, Hongbin Ji
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Research Article Cell biology Metabolism

Therapy-induced cholesterol biosynthesis drives lung cancer dormancy and drug resistance

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Abstract

Complete response is rarely observed in lung cancer molecular targeted therapy, despite great clinical success. Here, we found that molecular therapy targeted toward EGFR mutant, KRAS mutant, or ALK fusion lung cancer induced cholesterol biosynthesis, which promoted cancer cells to enter dormancy and thus escape drug killing. Combined statin treatments effectively blocked cholesterol biosynthesis, prevented cancer cells from entering dormancy, and thus resulted in dramatic tumor regression. We further identified a subpopulation of cycling cancer cells that persisted during molecular targeted therapy and remained sensitive to aurora kinase inhibitors. Triple-targeting cholesterol biosynthesis, aurora kinase, and individual oncogenic drivers almost eradicated all the cancer cells. Therapy-induced cancer dormancy was mainly attributed to activation of unfolded protein response, specifically the PERK-eIF2α axis, which triggers cholesterol biosynthesis and AKT signaling. Collectively, this work uncovers an unexpected role of a therapy-induced prosurvival program in promoting cancer dormancy and provides a potentially effective strategy to prevent drug resistance.

Authors

Yikai Zhao, Yijia Zhou, Linnuo Pan, Geng G. Tian, Hsin-Yi Huang, Shijie Tang, Ming Lu, Zhangsen Zhou, Peng Zhang, Luonan Chen, Lele Zhang, Liang Hu, Hongbin Ji

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Figure 1

Targeted therapy activates cholesterol biosynthesis.

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Targeted therapy activates cholesterol biosynthesis.
(A) Schematic illus...
(A) Schematic illustration of the experimental design for RNA-Seq of PC9 cells treated with gefitinib for the indicated times. (B) A schematic diagram of the system-state transition during the development of acquired drug resistance. (C) A CI for quantifying the TP of the system state. The peak of CI at day 2 indicates the TP. (D) Heatmap showing averaged signature enrichment scores of C2. (Left) The line chart represents the patterns of dynamic changes in DEGs, using Mfuzz. (Right) The biological processes in the black-outlined box are significantly enriched pathways in C2. Red text indicates the pathways of interest. (E) Chromatin accessibility around HMGCR, MVA kinase (MVK), MVA diphosphate decarboxylase (MVD), and the CTP51A1 promoter region in PC9 cells treated with gefitinib for 0 and 48 hours. (F) Uniform Manifold Approximation and Projection (UMAP) visualization of 5 paired human lung cancer specimens before and after afatinib therapy labeled with Seurat clusters. (G) Cholesterol signature scores of the 9 cell clusters from the 5 paired human lung cancer specimens. (H) Pseudotime ordering of the 9 cell clusters with Monocle 2. (I) Dot plot showing the Gene Ontology enrichment with HALLMARK pathway in C8. (J) Dot plot showing expression of cholesterol biosynthesis–related genes across different cell clusters. Dot diameter indicates the proportion of cells expressing a given gene; color indicates the relative expression level.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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