GSTO1 aggravates EGFR-TKIs resistance and tumor metastasis via deglutathionylation of NPM1 in lung adenocarcinoma.
Ning-Xiang ShenMing-Yu LuoWei-Ming GuMiaomiao GongHui-Min LeiLing BiCheng WangMo-Cong ZhangGuanglei ZhuangLu XuLiang ZhuHong-Zhuan ChenYing ShenPublished in: Oncogene (2024)
Despite significantly improved clinical outcomes in EGFR-mutant lung adenocarcinoma, all patients develop acquired resistance and malignancy on the treatment of EGFR tyrosine kinase inhibitors (EGFR-TKIs). Understanding the resistance mechanisms is crucial to uncover novel therapeutic targets to improve the efficacy of EGFR-TKI treatment. Here, integrated analysis using RNA-Seq and shRNAs metabolic screening reveals glutathione S-transferase omega 1 (GSTO1) as one of the key metabolic enzymes that is required for EGFR-TKIs resistance in lung adenocarcinoma cells. Aberrant upregulation of GSTO1 confers EGFR-TKIs resistance and tumor metastasis in vitro and in vivo dependent on its active-site cysteine 32 (C32). Pharmacological inhibition or knockdown of GSTO1 restores sensitivity to EGFR-TKIs and synergistically enhances tumoricidal effects. Importantly, nucleophosmin 1 (NPM1) cysteine 104 is deglutathionylated by GSTO1 through its active C32 site, which leads to activation of the AKT/NF-κB signaling pathway. In addition, clinical data illustrates that GSTO1 level is positively correlated with NPM1 level, NF-κB-mediated transcriptions and progression of human lung adenocarcinoma. Overall, our study highlights a novel mechanism of GSTO1 mediating EGFR-TKIs resistance and malignant progression via protein deglutathionylation, and GSTO1/NPM1/AKT/NF-κB axis as a potential therapeutic vulnerability in lung adenocarcinoma.
Keyphrases
- small cell lung cancer
- epidermal growth factor receptor
- tyrosine kinase
- signaling pathway
- acute myeloid leukemia
- rna seq
- induced apoptosis
- pi k akt
- advanced non small cell lung cancer
- cell proliferation
- end stage renal disease
- endothelial cells
- lps induced
- chronic kidney disease
- newly diagnosed
- single cell
- machine learning
- cell death
- ejection fraction
- living cells
- fluorescent probe
- peritoneal dialysis
- single molecule
- big data
- combination therapy