Metabolomic profiling to evaluate the efficacy of proxalutamide, a novel androgen receptor antagonist, in prostate cancer cells.

Invest New Drugs

Key Lab of Drug Metabolism and Pharmacokinetics, State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing, Jiangsu, 210009, People's Republic of China.

Published: October 2020

Proxalutamide is a newly developed androgen receptor (AR) antagonist for the treatment of castration-resistant prostate cancer (PCa) that has entered phase III clinical trials. In the present study, we intended to elucidate the antitumor efficacy of proxalutamide through the metabolomic profiling of PCa cells. Two AR-positive PCa cell lines and two AR-negative PCa cell lines were investigated. Cell viability assays based on ATP quantitation were conducted. LC-Q/TOF-MS was used to analyze intracellular metabolites before or after the administration of proxalutamide and two other clinical AR antagonists (bicalutamide and enzalutamide). The results of this study showed that the inhibitory effect of proxalutamide on PCa cell proliferation was better than that of bicalutamide and enzalutamide, and proxalutamide preferentially affected AR-positive PCa cells over AR-negative cells. The metabolic composition of PCa cells changed significantly after proxalutamide administration, and these changes in response to proxalutamide were significantly different from those in the presence of the two other AR antagonists. In AR-positive cells, proxalutamide significantly decreased the intracellular levels of glutamine, glutamate, glutathione, cysteine, glycine, aspartate, uridine, cytidine and thymidine. However, the effects of the two other antagonists on these discriminant metabolites were ambiguous, and no changes in these metabolites were found in AR-negative cells. Our findings indicate that proxalutamide has inhibitory effects on glutamine metabolism, redox homeostasis and de novo pyrimidine synthesis in AR-positive PCa cells that enhance the cellular sensitivity to proxalutamide.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10637-020-00901-wDOI Listing

Publication Analysis

Top Keywords

pca cells
16
ar-positive pca
12
pca cell
12
proxalutamide
11
metabolomic profiling
8
efficacy proxalutamide
8
androgen receptor
8
receptor antagonist
8
prostate cancer
8
cells
8

Similar Publications

Microorganisms tend to accumulate on surfaces, forming aggregates such as biofilms, which grant them resistance to various environmental stressors and antimicrobial agents. This ability has hindered the effective treatment of diseases caused by pathogenic microorganisms, including Salmonella, which is responsible for a significant number of deaths worldwide. This study aimed to compare the metabolic profiles of planktonic and sessile cells of Salmonella Enteritidis using a metabolomics approach.

View Article and Find Full Text PDF

Introduction: Cistanche deserticola Ma (CD), an edible and medicinal plant native to Xinjiang, Inner Mongolia, and Gansu in China, is rich in bioactive polysaccharides known for their health-promoting properties. The polysaccharides of C. deserticola (CDPs) have been shown to possess a range of beneficial activities, including immunomodulatory, anti-aging, antioxidant, and anti-osteoporosis effects.

View Article and Find Full Text PDF

Sporotrichosis is a worldwide zoonotic disease that is spreading and causing epidemics in large urban centers. Cats are the most susceptible species to develop the disease, which could cause significant systemic lesions. The aim was to investigate and to identify predictive indicators of disease progression by correlations between the blood profile (hematological and biochemical analytes) and cutaneous lesion patterns of 70 cats diagnosed with .

View Article and Find Full Text PDF

In this study, we investigated the cytotoxic effect of highly soluble dextran-coated CeO nanoparticles on human fetal lung fibroblasts MRC-5. We examined individual nanoparticle-treated cells by Raman spectroscopy and analyzed Raman spectra using non-negative principal component analysis and k-means clustering. In this way, we determined dose-dependent differences between treated cells, which were reflected through the intensity change of lipid, phospholipid and RNA-related Raman modes.

View Article and Find Full Text PDF

Background: Metabolic Syndrome (MS) is a cluster of conditions that significantly increase the risk of infertility in women. Granulosa cells are crucial for ovarian folliculogenesis and fertility. Understanding molecular alterations in these cells can provide insights into MS-associated infertility.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!