Abstract

Abstract The cystine/glutamate antiporter SLC7A11 (also commonly known as xCT) functions to import cystine for glutathione biosynthesis and antioxidant defense and is overexpressed in multiple human cancers. Recent studies revealed that SLC7A11 overexpression promotes tumor growth partly through suppressing ferroptosis, a form of regulated cell death induced by excessive lipid peroxidation. However, cancer cells with high expression of SLC7A11 (SLC7A11 high ) also have to endure the significant cost associated with SLC7A11-mediated metabolic reprogramming, leading to glucose- and glutamine-dependency in SLC7A11 high cancer cells, which presents potential metabolic vulnerabilities for therapeutic targeting in SLC7A11 high cancer. In this review, we summarize diverse regulatory mechanisms of SLC7A11 in cancer, discuss ferroptosis-dependent and -independent functions of SLC7A11 in promoting tumor development, explore the mechanistic basis of SLC7A11-induced nutrient dependency in cancer cells, and conceptualize therapeutic strategies to target SLC7A11 in cancer treatment. This review will provide the foundation for further understanding SLC7A11 in ferroptosis, nutrient dependency, and tumor biology and for developing novel effective cancer therapies.

Keywords

Cancer cellCancerBiologyCancer researchGenetics

MeSH Terms

Amino Acid Transport System y+Antineoplastic AgentsCystineDNA MethylationFerroptosisGene Expression RegulationNeoplasticGlucoseGlutamineGlutathioneHistonesHumansMolecular Targeted TherapyNeoplasmsPiperazinesSignal TransductionSorafenibSulfasalazine

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Publication Info

Year
2020
Type
review
Volume
12
Issue
8
Pages
599-620
Citations
2065
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2065
OpenAlex
53
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Cite This

Pranavi Koppula, Li Zhuang, Boyi Gan (2020). Cystine transporter SLC7A11/xCT in cancer: ferroptosis, nutrient dependency, and cancer therapy. Protein & Cell , 12 (8) , 599-620. https://doi.org/10.1007/s13238-020-00789-5

Identifiers

DOI
10.1007/s13238-020-00789-5
PMID
33000412
PMCID
PMC8310547

Data Quality

Data completeness: 86%