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Phase separation of RXRγ drives tumor chemoresistance and represents a therapeutic target for small cell lung cancer [RNA-Seq]

GSE268219 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/12/31 Platform GPL21290
Summary
Small cell lung cancer (SCLC) is the most lethal type of lung cancer, characterized by limited treatment options and rapid evolution from chemosensitivity to chemoresistance. However, the mechanisms underlying this evolution remain poorly understood. Identifying the druggable drivers and developing pharmacological strategies to overcome chemoresistance are imperative. Here, we show that Retinoid X receptor γ (RXRγ) is uniquely overexpressed in chemo-resistant SCLC tumors, and that RXRγ serves as an essential factor driving chemoresistance in SCLC. RXRγ forms phase-separated droplets with LSD1 in the nucleus, which enhances RXRγ-mediated gene transcription activity and reprograms gene expression, promoting tumor stemness and metastasis, and eventually driving SCLC chemoresistance. In turn, RXRγ antagonist disrupts RXRγ-LSD1 interaction, reducing their binding to the target gene locus, markedly suppressing the expression of the RXRγ target gene network. Finally, RXRγ antagonists strongly suppress tumor growth and metastasis and restore SCLC vulnerability to chemotherapy in multiple preclinical SCLC models, without overt toxicity, in mice. Thus, these results establish RXRγ as a key player in SCLC by phase separation and as a potential therapeutic target for this deadly disease.
Published in
Phase separation of RXRγ drives tumor chemoresistance and represents a therapeutic target for small-cell lung cancer
Wang H, Huang J, Zhang Z et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40392852 · doi:10.1073/pnas.2421199122
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Direct links to NCBI, no account and no request form: the whole study as GSE268219_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1115195 and SRA study SRP509456. Searching any of these in the dataset finder brings you back here.

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