期刊
FRONTIERS IN IMMUNOLOGY
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2021.627072
关键词
interferon regulatory factor 4 (IRF4); myeloid-derived suppressor cells (MDSCs); c-Myc; immunosuppression; cancer
类别
资金
- Natural Science Foundation of China [31800739, 81970771, 81771696]
- Natural Science Foundation of Guangdong Province [2018A0303130317]
- Guangdong Provincial Education Department [2017KTSCX157]
- Medical Research Fund of Guangdong Province [A2019471]
- Youth Project Fund of the State Key Laboratory of Respiratory Diseases [SKLRDQN-201921]
This study shows that IRF4 plays a crucial role in the development of PMN-MDSCs, and its deficiency can lead to an increase in PMN-MDSCs and enhanced suppressive activity, promoting tumor growth and metastasis. There is a correlation between the expression levels of IRF4 and c-Myc in clinical cancer patients, which may have predictive value for tumor progression.
The accumulation of myeloid-derived suppressor cells (MDSCs) is one of the major obstacles to achieve an appropriate anti-tumor immune response and successful tumor immunotherapy. MDSCs in tumor-bearing hosts are primarily polymorphonuclear (PMN-MDSCs). However, the mechanisms regulating the development of MDSCs remain poorly understood. In this report, we showed that interferon regulatory factor 4 (IRF4) plays a key role in the development of PMN-MDSCs, but not monocytic MDSCs. IRF4 deficiency caused a significant elevation of PMN-MDSCs and enhanced the suppressive activity of PMN-MDSCs, increasing tumor growth and metastasis in mice. Mechanistic studies showed that c-Myc was up-regulated by the IRF4 protein. Over-expression of c-Myc almost abrogated the effects of IRF4 deletion on PMN-MDSCs development. Importantly, the IRF4 expression level was negatively correlated with the PMN-MDSCs frequency and tumor development but positively correlated with c-Myc expression in clinical cancer patients. In summary, this study demonstrated that IRF4 represents a novel regulator of PMN-MDSCs development in cancer, which may have predictive value for tumor progression.
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