Anti-cancer effect of doxorubicin is mediated by downregulation of HMG-Co A reductase via inhibition of EGFR/Src pathway.
Un-Jung YunJi-Hye LeeJaegal ShimKyungsil YoonSung-Ho GohEun Hee YiSang-Kyu YeJae-Seon LeeHyunji LeeJongsun ParkIn Hye LeeYong-Nyun KimPublished in: Laboratory investigation; a journal of technical methods and pathology (2019)
Doxorubicin is a widely used DNA damage-inducing anti-cancer drug. However, its use is limited by its dose-dependent side effects, such as cardiac toxicity. Cholesterol-lowering statin drugs increase the efficacy of some anti-cancer drugs. Cholesterol is important for cell growth and a critical component of lipid rafts, which are plasma membrane microdomains important for cell signaling. 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (HMG-CR) is a critical enzyme in cholesterol synthesis. Here, we show that doxorubicin downregulated HMG-CR protein levels and thus reduced levels of cholesterol and lipid rafts. Cholesterol addition attenuated doxorubicin-induced cell death, and cholesterol depletion enhanced it. Reduction of HMG-CR activity by simvastatin, a statin that acts as an HMG-CR inhibitor, or by siRNA-mediated HMG-CR knockdown enhanced doxorubicin cytotoxicity. Doxorubicin-induced HMG-CR downregulation was associated with inactivation of the EGFR-Src pathway. Furthermore, a high-cholesterol-diet attenuated the anti-cancer activity of doxorubicin in a tumor xenograft mouse model. In a multivulva model of Caenorhabditis elegans expressing an active-EGFR mutant, doxorubicin decreased hyperplasia more efficiently in the absence than in the presence of cholesterol. These data indicate that EGFR/Src/HMG-CR is a new pathway mediating doxorubicin-induced cell death and that cholesterol control could be combined with doxorubicin treatment to enhance efficacy and thus reduce side effects.
Keyphrases
- low density lipoprotein
- drug delivery
- cancer therapy
- tyrosine kinase
- small cell lung cancer
- cell death
- dna damage
- epidermal growth factor receptor
- mouse model
- oxidative stress
- high glucose
- cardiovascular disease
- cell proliferation
- diabetic rats
- drug induced
- type diabetes
- small molecule
- left ventricular
- deep learning
- artificial intelligence
- electronic health record
- binding protein
- bone marrow
- big data
- hyaluronic acid
- pi k akt