Evolutionary Trajectory of Radioresistance in Lung Cancer Brain Metastasis Organoids

Radiotherapy (RT) is a cornerstone treatment for lung cancer brain metastasis (LCBM), yet acquired radioresistance frequently leads to recurrence. The molecular and metabolic mechanisms underlying this adaptive evolution at single-cell resolution remain poorly defined. Patient-derived organoids (PDOs) from LCBM tissues were established to model clinical radiation responses. Paired pre- and post-RT samples underwent single-cell RNA sequencing (scRNA-seq) to delineate transcriptional, metabolic, and regulatory alterations associated with radioresistance. Single-cell analysis revealed substantial population remodeling following RT, characterized by depletion of proliferative cells and enrichment of a resilient Hypoxic-EMT subpopulation. Pseudotime analysis demonstrated lineage plasticity, showing a transition from proliferative to mesenchymal states. Mechanistically, a viral mimicry response involving NF-κB and STAT signaling supported stress adaptation. Resistant cells exhibited a hypermetabolic phenotype marked by metabolic plasticity, including hybrid bioenergetics coupling glycolysis with oxidative phosphorylation, enhanced lipid turnover via simultaneous fatty acid synthesis and degradation, and increased glutathione metabolism for reactive oxygen species buffering. Pharmacogenomic profiling indicated concurrent chemotherapy resistance but collateral sensitivity to PI3K/MEK inhibitors and epigenetic therapies. These findings provide a high-resolution atlas of radioresistance in LCBM and suggest that targeting the Hypoxic-EMT niche or oxidative-antioxidant balance may overcome therapeutic resistance.

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Publication Details

Journal
Biological Procedures Online
Published
2026-04-21
DOI
https://doi.org/10.1186/s12575-026-00339-z
Primary Topic
Brain Metastases and Treatment
Type
article
Field-Weighted Citation Impact
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article

Evolutionary Trajectory of Radioresistance in Lung Cancer Brain Metastasis Organoids

Boyue Pang, Cize Gao, Chunxia Su, Jianing Chen et al.
Biological Procedures Online
Brain Metastases and Treatment
article

Evolutionary Trajectory of Radioresistance in Lung Cancer Brain Metastasis Organoids

Boyue Pang, Cize Gao, Chunxia Su, Jianing Chen, Li Wang, Leilei Wu
article en

Abstract

Radiotherapy (RT) is a cornerstone treatment for lung cancer brain metastasis (LCBM), yet acquired radioresistance frequently leads to recurrence. The molecular and metabolic mechanisms underlying this adaptive evolution at single-cell resolution remain poorly defined. Patient-derived organoids (PDOs) from LCBM tissues were established to model clinical radiation responses. Paired pre- and post-RT samples underwent single-cell RNA sequencing (scRNA-seq) to delineate transcriptional, metabolic, and regulatory alterations associated with radioresistance. Single-cell analysis revealed substantial population remodeling following RT, characterized by depletion of proliferative cells and enrichment of a resilient Hypoxic-EMT subpopulation. Pseudotime analysis demonstrated lineage plasticity, showing a transition from proliferative to mesenchymal states. Mechanistically, a viral mimicry response involving NF-κB and STAT signaling supported stress adaptation. Resistant cells exhibited a hypermetabolic phenotype marked by metabolic plasticity, including hybrid bioenergetics coupling glycolysis with oxidative phosphorylation, enhanced lipid turnover via simultaneous fatty acid synthesis and degradation, and increased glutathione metabolism for reactive oxygen species buffering. Pharmacogenomic profiling indicated concurrent chemotherapy resistance but collateral sensitivity to PI3K/MEK inhibitors and epigenetic therapies. These findings provide a high-resolution atlas of radioresistance in LCBM and suggest that targeting the Hypoxic-EMT niche or oxidative-antioxidant balance may overcome therapeutic resistance.

Biological Procedures Online
Tongji University (CN), Shanghai Pulmonary Hospital (CN)
Good health and well-being
Openalex Percentile: Top 8%
Brain Metastases and Treatment
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