AKT3 Is a Novel Regulator of Cancer-Associated Fibroblasts in Head and Neck Squamous Cell Carcinoma.
Hideyuki TakahashiSusumu RokudaiReika Kawabata-IwakawaKoichi SakakuraTetsunari OyamaMasahiko NishiyamaKazuaki ChikamatsuPublished in: Cancers (2021)
Cancer-associated fibroblasts (CAFs) play vital roles in tumor progression by promoting epithelial-to-mesenchymal transition, angiogenesis, and immunosuppression. In the present study, we sought to identify the key regulators of the pro-tumoral functions of CAFs in head and neck squamous cell carcinoma (HNSCC). mRNA expression data obtained from The Cancer Genome Atlas revealed that CAF-specific mRNA expression correlated with genes that relate to an immunosuppressive microenvironment in a HNSCC cohort. RNA sequencing of CAFs and normal fibroblasts isolated from HNSCC specimens identified 1127 differentially expressed genes (DEGs) and several upregulated pathways in CAFs. Among the 1127 DEGs, we identified 13 immune function-related genes and focused on AKT3 as a potential regulator of CAFs. The targeted depletion of AKT3 in CAFs revealed that AKT3 promotes their myofibroblastic phenotype. AKT3-transduced CAFs exhibited downregulated the expression of immunosuppressive cytokine genes, impairing T-cell suppression and pro-tumoral macrophage induction. The immunohistochemistry of 72 HNSCC patients showed that AKT3 expression in CAFs positively correlated with tumor infiltration by CAFs, tumor-associated macrophages, dendritic cells, and T cells. Moreover, AKT3 expression in CAFs was an independent prognostic factor for overall survival. In conclusion, AKT3 is a potential target for cancer therapy that inhibits the pro-tumoral function of CAFs and reverses CAF-mediated immunosuppression.
Keyphrases
- signaling pathway
- cell proliferation
- poor prognosis
- prognostic factors
- cancer therapy
- dendritic cells
- single cell
- genome wide
- stem cells
- gene expression
- transcription factor
- end stage renal disease
- immune response
- anti inflammatory
- binding protein
- ejection fraction
- endothelial cells
- squamous cell carcinoma
- risk assessment
- climate change
- chronic kidney disease
- dna methylation
- human health
- electronic health record
- patient reported outcomes
- machine learning
- genome wide analysis
- data analysis
- patient reported
- papillary thyroid