Autophagy-dependent crosstalk between GILT and PAX-3 influences radiation sensitivity of human melanoma cells.
Jessica D Hathaway-SchraderBently P DoonanAzim HossainFaisal F Y RadwanLixia ZhangAzizul HaquePublished in: Journal of cellular biochemistry (2017)
Melanoma represents an ever-increasing problem in the western world as incidence rates continue to climb. Though manageable during early stages, late stage metastatic disease is highly resistant to current intervention. We have previously shown that gamma-interferon-inducible lysosomal thiol-reductase (GILT) enhances HLA class II antigen processing and immune detection of human melanoma cells. Here we report that GILT expression inhibits a potential target, paired box-3 (PAX-3) protein, in late stage human metastatic melanoma. We also show that GILT transfection or induction by IFN-γ, decreases PAX-3 protein expression while upregulating the expression of Daxx, which is also a repressor of PAX-3. Confocal microscopic analysis demonstrated that GILT co-localizes with PAX-3 protein, but not with Daxx within melanoma cells. Immunoprecipitation and immunoblotting studies suggest that GILT expression negatively regulates PAX-3 through the autophagy pathway, potentially resulting in increased susceptibility to conventional treatment in the form of chemotherapy or radiotherapy. While high-dose radiation is a common treatment for melanoma patients, our data suggest that GILT expression significantly increased the susceptibility of melanoma cells to low-dose radiation therapy via upregulation of tumor suppressor protein p53. Overall, these data suggest that GILT has multiple roles in inducing human melanoma cells as better targets for radiation and immunotherapy.
Keyphrases
- poor prognosis
- endothelial cells
- low dose
- binding protein
- high dose
- radiation therapy
- induced pluripotent stem cells
- pluripotent stem cells
- cell death
- end stage renal disease
- randomized controlled trial
- radiation induced
- small cell lung cancer
- locally advanced
- long non coding rna
- squamous cell carcinoma
- electronic health record
- early stage
- big data
- cell proliferation
- newly diagnosed
- peritoneal dialysis
- machine learning
- risk assessment
- small molecule
- replacement therapy
- case control