Redox BiologySystems BiologyPeer-reviewed journal article
Systematic identification of a nuclear receptor-enriched predictive signature for erastin-induced ferroptosis
Ok-Seon KwoniD, Eun-Ji Kwon, Hyeon‐Joon Kong, Jeong‐Yoon ChoiiD, Yun Jeong KimiD, Eun‐Woo LeeiD, Wankyu KimiD, Haeseung LeeiD, Hyuk‐Jin ChaiD
Abstract
Erastin, which has been initially identified as a synthetic lethal compound against cancer expressing an RAS oncogene, inhibits cystine/glutamate antiporters and causes ferroptic cell death in various cell types, including therapy-resistant mesenchymal cancer cells. However, despite recent emerging evidence for the mechanisms underlying ferroptosis, molecular biomarkers associated with erastin-dependent ferroptosis have not yet been identified. In the present study, we employed isogenic lung cancer cell models with therapy-resistant mesenchymal properties to show that a redox imbalance leads to glutathione depletion and ferroptotic cell death. Subsequent gene expression analysis of pan-cancer cell lines revealed that the activity of transcription factors, including nuclear factor erythroid 2-related factor 2 (NRF2) and aryl hydrocarbon receptor (AhR), serve as important markers of erastin resistance. Based on the integrated expression of genes in the nuclear receptor meta-pathway (NRM), we constructed an NRM model and validated its robustness using an independent pharmacogenomics dataset. The NRM model was further evaluated by employing it in the sensitivity testing of nine cancer cell lines for which erastin sensitivities had not yet been undetermined. Our pharmacogenomics approach has the potential to pave the way for the efficient classification of patients for therapeutic intervention using erastin or erastin analogs.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 43
- FWCI
- 3.94
- Field percentile
- top 5%
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