Griseofulvin Radiosensitizes Non-Small Cell Lung Cancer Cells and Activates cGAS.
Xing WangNatasha RamanGhali Lemtiri-ChliehJinhee ChangShreya JagtapDipanwita Dutta ChowdhuryMatthew BallewFrancesca Anna CarrieriTriet NguyenKatriana NugentTravis J PeckMichelle S LevineAaron ChanChristine LamReem MalekTung HoangRyan PhillipsZhuoAn ChengKekoa TaparraNick ConnisChristine L HannAndrew Jon HollandPhuoc T TranAudrey LafargueHailun WangPublished in: Molecular cancer therapeutics (2023)
Extra copies of centrosomes are frequently observed in cancer cells. To survive and proliferate, cancer cells have developed strategies to cluster extra-centrosomes to form bipolar mitotic spindles. The aim of this study was to investigate whether centrosome clustering (CC) inhibition (CCi) would preferentially radiosensitize non-small cell lung cancer (NSCLC). Griseofulvin (GF; FDA approved treatment) inhibits CC, and combined with radiation therapy (RT) resulted in a significant increase in the number of NSCLC cells with multipolar spindles, and decreased cell viability and colony formation ability in vitro. In vivo, GF treatment was well tolerated by mice, and the combined therapy of GF and RT resulted in a significant tumor growth delay. Both GF and RT treatment also induced the generation of micronuclei (MN) in vitro and in vivo and activated cyclic GMP-AMP synthase (cGAS) in NSCLC cells. A significant increase in downstream cGAS-STING pathway activation was seen after combination treatment in A549 radioresistant cells that was dependent on cGAS. In conclusion, GF increased RT efficacy in lung cancer preclinical models in vitro and in vivo. This effect may be associated with the generation of MN and the activation of cGAS. These data suggest that the combination therapy of CCi, RT and immunotherapy could be a promising strategy to treat NSCLC.
Keyphrases
- combination therapy
- small cell lung cancer
- radiation therapy
- induced apoptosis
- cell cycle arrest
- type diabetes
- cell death
- single cell
- cell therapy
- neuropathic pain
- escherichia coli
- cell proliferation
- machine learning
- insulin resistance
- skeletal muscle
- bipolar disorder
- replacement therapy
- electronic health record
- spinal cord
- mesenchymal stem cells
- endothelial cells
- rna seq
- artificial intelligence
- drug induced
- candida albicans