Curcumin Suppresses Hepatic Stellate Cell-Induced Hepatocarcinoma Angiogenesis and Invasion through Downregulating CTGF.
Shan ShaoWanxing DuanQinhong XuXuqi LiLiang HanWei LiDong ZhangZheng WangJianjun LeiPublished in: Oxidative medicine and cellular longevity (2019)
Microenvironment plays a vital role in tumor progression; we focused on elucidating the role of hepatic stellate cells (HSCs) in hepatocarcinoma (HCC) aggressiveness and investigated the potential protective effect of curcumin on HSC-driven hepatocarcinoma angiogenesis and invasion. Our data suggest that HSCs increase HCC reactive oxygen species (ROS) production to upregulate hypoxia-inducible factor-1α (HIF-1α) expression to promote angiogenesis, epithelial to mesenchymal transition (EMT) process and invasion. And HSCs could secrete soluble factors, such as interleukin-6 (IL-6), vascular endothelial cell growth factor (VEGF), and stromal-derived factor-1 (SDF-1) to facilitate HCC progression. Curcumin could significantly suppress the above HSC-induced effects in HCC and could abrogate ROS and HIF-1α expression in HCC. HIF-1α or connective tissue growth factor (CTGF) knockdown could abolish the aforementioned curcumin affection. Moreover, CTGF is a downstream gene of HIF-1α. In addition, nuclear factor E2-related factor 2 (Nrf2) and glutathione (GSH) are involved in curcumin protection of HCC. These data indicate that curcumin may induce ROS scavenging by upregulating Nrf2 and GSH, thus inhibiting HIF-1α stabilization to suppress CTGF expression to exhibit its protection on HCC. Curcumin has a promising therapeutic effect on HCC. CTGF is responsible for curcumin-induced protection in HCC.
Keyphrases
- endothelial cells
- growth factor
- high glucose
- reactive oxygen species
- poor prognosis
- vascular endothelial growth factor
- nuclear factor
- cell death
- dna damage
- diabetic rats
- oxidative stress
- cell migration
- toll like receptor
- big data
- binding protein
- induced apoptosis
- long non coding rna
- gene expression
- bone marrow
- stem cells
- machine learning
- epithelial mesenchymal transition
- electronic health record
- risk assessment
- wound healing
- single cell
- mesenchymal stem cells
- high resolution
- endoplasmic reticulum stress
- deep learning
- single molecule
- immune response
- human health