Epidermal growth factor induces STAT1 expression to exacerbate the IFNr-mediated PD-L1 axis in epidermal growth factor receptor-positive cancers.
Chun-Chia ChengHsin-Chi LinKaun-Jer TsaiYa-Wen ChiangKen-Hong LimCaleb Gon-Shen ChenYing-Wen SuCheng-Liang PengAi-Sheng HoLing HuangYu-Cheng ChangHuan-Chau LinJungshan ChangYi-Fang ChangPublished in: Molecular carcinogenesis (2018)
The epidermal growth factor (EGF) receptor (EGFR) overexpressed in many cancers, including lung and head and neck cancers, and is involved in cancer cell progression and survival. PD-L1, increases in tumor cells to evade and inhibit CD8+ T cells, is a clinical immunotherapeutic target. This study investigated the molecular mechanism of EGF on regulating PD-L1 in EGFR-positive cancers and determined potential agents to reduce PD-L1 expression. RNA sequencing (RNAseq) and bioinformatics analysis were performed to determine potential driver genes that regulate PD-L1 in tumor cells-derived tumorspheres which mimicking cancer stem cells. Then, the specific inhibitors targeting EGFR were applied to reduce the expression of PD-L1 in vitro and in vivo. We validated that EGF could induce PD-L1 expression in the selected EGFR-positive cancers. RNAseq results revealed that STAT1 increased as a driver gene in KOSC-3-derived tumorspheres; these data were analyzed using PANTHER followed by NetworkAnalyst. The blockade of EGFR by afatinib resulted in decreased STAT1 and IRF-1 levels, both are transcriptional factors of PD-L1, and disabled the IFNr-STAT1-mediated PD-L1 axis in vitro and in vivo. Moreover, STAT1 knockdown significantly reduced EGF-mediated PD-L1 expression, and ruxolitinib, a JAK1/JAK2 inhibitor, significantly inhibited STAT1 phosphorylation to reduce the IFNr-mediated PD-L1 axis. These results indicate that EGF exacerbates PD-L1 by increasing the protein levels of STAT1 to enforce the IFNr-JAK1/2-mediated signaling axis in selected EGFR-positive cancers. The inhibition of EGFR by afatinib significantly reduced PD-L1 and may be a potential strategy for enhancing immunotherapeutic efficacy.
Keyphrases
- epidermal growth factor receptor
- growth factor
- tyrosine kinase
- advanced non small cell lung cancer
- small cell lung cancer
- cell proliferation
- poor prognosis
- bioinformatics analysis
- binding protein
- gene expression
- machine learning
- cancer stem cells
- electronic health record
- copy number
- dendritic cells
- oxidative stress
- human health
- drug delivery
- dna methylation
- artificial intelligence
- heat shock
- heat stress
- young adults