Beta-Hydroxyisovaleryl-Shikonin Eradicates Epithelial Cell Adhesion Molecule-Positive Liver Cancer Stem Cells by Suppressing dUTP Pyrophosphatase Expression.
Yoshiro AsahinaHajime TakatoriKouki NioHikari OkadaTakehiro HayashiTomoyuki HayashiTomomi HashibaTsuyoshi SudaMasaki NishitaniSaiho SugimotoMasao HondaShuichi KanekoTaro YamashitaPublished in: International journal of molecular sciences (2023)
Cancer stem cells (CSCs) play an essential role in tumorigenesis, chemoresistance, and metastasis. Previously, we demonstrated that the development of hepatocellular carcinoma (HCC) is dictated by a subset of epithelial cell adhesion molecule-positive (EpCAM+) liver CSCs with the activation of Wnt signaling. In this study, we evaluated the expression of dUTP pyrophosphatase (dUTPase), which plays a central role in the development of chemoresistance to 5-fluorouracil, in EpCAM+ HCC cells. We further evaluated the effect of beta-hydroxyisovaleryl-shikonin (β-HIVS), an ATP-noncompetitive inhibitor of protein tyrosine kinases, on HCC CSCs. EpCAM and dUTPase were expressed in hepatoblasts in human fetal liver, hepatic progenitors in adult cirrhotic liver, and a subset of HCC cells. Sorted EpCAM+ CSCs from HCC cell lines showed abundant nuclear accumulation of dUTPase compared with EpCAM-negative cells. Furthermore, treatment with the Wnt signaling activator BIO increased EpCAM and dUTPase expression. In contrast, β-HIVS treatment decreased dUTPase expression. β-HIVS treatment decreased the population of EpCAM+ liver CSCs in a dose-dependent manner in vitro and suppressed tumor growth in vivo compared with the control vehicle. Taken together, our data suggest that dUTPase could be a good target to eradicate liver CSCs resistant to 5-fluorouracil. β-HIVS is a small molecule that could decrease dUTPase expression and target EpCAM+ liver CSCs.
Keyphrases
- cell adhesion
- cancer stem cells
- poor prognosis
- circulating tumor cells
- induced apoptosis
- small molecule
- cell cycle arrest
- binding protein
- magnetic resonance
- long non coding rna
- endothelial cells
- cell death
- computed tomography
- immune response
- machine learning
- toll like receptor
- oxidative stress
- deep learning
- nuclear factor
- endoplasmic reticulum stress
- contrast enhanced