Efficacy Augmentation of Ferroptosis-Inducing Nanomedicine for Tyrosine Kinase Inhibitor-Resistant Lung Cancer Brain Metastasis

Abstract Acquired resistance to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) poses a major clinical challenge for EGFR-mutant non-small-cell lung cancer patients with brain metastasis. A key unresolved question is whether the adaptive mechanisms driving TKI resistance also confer new therapeutic vulnerabilities. Here, we reveal that TKI-resistant lung cancer brain metastatic cells develop a redox perturbation state, characterized by elevated oxidative stress and diminished antioxidant capacity, which confers a latent sensitivity to ferroptosis induction. To exploit this vulnerability, we developed MIL-S@M, a brain-targeted nanoplatform capable of efficient blood-brain barrier penetration and glutathione-responsive drug release. MIL-S@M potently induces ferroptosis through the synergistic effects of iron overload, glutathione depletion, and glutathione peroxidase 4 inactivation. In mouse models of osimertinib-resistant brain metastasis, MIL-S@M significantly suppressed tumor growth and extended survival, both as a monotherapy and in combination with osimertinib, without inducing systemic or neurotoxic effects. This work unveils a targetable adaptation in TKI-resistant brain metastasis and presents a translatable nanotherapeutic strategy.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-10-09
DOI
https://doi.org/10.1021/acsnano.6c09281
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficacy Augmentation of Ferroptosis-Inducing Nanomedicine for Tyrosine Kinase Inhibitor-Resistant Lung Cancer Brain Metastasis

Wanqi Yang, Yudan Chi, Xiaohui Li, Yiyang Li et al.
ACS Nano
Nanoparticle-Based Drug Delivery
article

Efficacy Augmentation of Ferroptosis-Inducing Nanomedicine for Tyrosine Kinase Inhibitor-Resistant Lung Cancer Brain Metastasis

Wanqi Yang, Yudan Chi, Xiaohui Li, Yiyang Li, Haibao Peng, Huang Yang, Youming Zeng, Lan Mo, Jiahui Yang, Jiadong Ma, Minjie Fu, Chenyu Lin, Rui Zeng, Cheng Li, Bo Peng
article en

Abstract

Abstract Acquired resistance to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) poses a major clinical challenge for EGFR-mutant non-small-cell lung cancer patients with brain metastasis. A key unresolved question is whether the adaptive mechanisms driving TKI resistance also confer new therapeutic vulnerabilities. Here, we reveal that TKI-resistant lung cancer brain metastatic cells develop a redox perturbation state, characterized by elevated oxidative stress and diminished antioxidant capacity, which confers a latent sensitivity to ferroptosis induction. To exploit this vulnerability, we developed MIL-S@M, a brain-targeted nanoplatform capable of efficient blood-brain barrier penetration and glutathione-responsive drug release. MIL-S@M potently induces ferroptosis through the synergistic effects of iron overload, glutathione depletion, and glutathione peroxidase 4 inactivation. In mouse models of osimertinib-resistant brain metastasis, MIL-S@M significantly suppressed tumor growth and extended survival, both as a monotherapy and in combination with osimertinib, without inducing systemic or neurotoxic effects. This work unveils a targetable adaptation in TKI-resistant brain metastasis and presents a translatable nanotherapeutic strategy.

ACS Nano
Fudan University (CN)
Openalex Percentile: Top 28%
Nanoparticle-Based Drug Delivery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.