Dual role of ANGPTL8 in promoting tumor cell proliferation and immune escape during hepatocarcinogenesis.
Yujiu GaoYue YuanShu WenYanghui ChenZongli ZhangYing FengBin JiangShinan MaRong HuChen FangXuzhi RuanYahong YuanXinggang FangChao LuoZhong Ji MengXiaoli WangXingrong GuoPublished in: Oncogenesis (2023)
The interplay between hepatocellular carcinoma (HCC) cells and the tumor microenvironment is essential for hepatocarcinogenesis, but their contributions to HCC development are incompletely understood. We assessed the role of ANGPTL8, a protein secreted by HCC cells, in hepatocarcinogenesis and the mechanisms through which ANGPTL8 mediates crosstalk between HCC cells and tumor-associated macrophages. Immunohistochemical, Western blotting, RNA-Seq, and flow cytometry analyses of ANGPTL8 were performed. A series of in vitro and in vivo experiments were conducted to reveal the role of ANGPTL8 in the progression of HCC. ANGPTL8 expression was positively correlated with tumor malignancy in HCC, and high ANGPTL8 expression was associated with poor overall survival (OS) and disease-free survival (DFS). ANGPTL8 promoted HCC cell proliferation in vitro and in vivo, and ANGPTL8 KO inhibited the development of HCC in both DEN-induced and DEN-plus-CCL4-induced mouse HCC tumors. Mechanistically, the ANGPTL8-LILRB2/PIRB interaction promoted polarization of macrophages to the immunosuppressive M2 phenotype in macrophages and recruited immunosuppressive T cells. In hepatocytes, ANGPTL8-mediated stimulation of LILRB2/PIRB regulated the ROS/ERK pathway and upregulated autophagy, leading to the proliferation of HCC cells. Our data support the notion that ANGPTL8 has a dual role in promoting tumor cell proliferation and immune escape during hepatocarcinogenesis.
Keyphrases
- cell proliferation
- induced apoptosis
- cell cycle arrest
- signaling pathway
- rna seq
- cell death
- free survival
- pi k akt
- flow cytometry
- endoplasmic reticulum stress
- single cell
- cell cycle
- poor prognosis
- oxidative stress
- gene expression
- transcription factor
- high glucose
- south africa
- endothelial cells
- machine learning
- binding protein
- diabetic rats
- big data
- dna methylation
- small molecule
- electronic health record