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Development and application of a UPLC-MS/MS method for P-glycoprotein quantification in human tumor cells
Zhaohui Qiu1, Jie Peng1, Lingli Mou2
1School of Xiangya Pharmaceutical Sciences, Central South University, 172 Tong Zi Po Road, Changsha 410013, China.
This study developed a UPLC-MS/MS method to quantify P-glycoprotein (P-gp) in drug-resistant tumor cells. The method revealed significant P-gp overexpression in resistant cells, offering insights into multidrug resistance (MDR).
Area of Science:
- Biochemistry and Molecular Biology
- Pharmacology and Toxicology
- Cancer Research
Background:
- Multidrug resistance (MDR) in tumors reduces sensitivity to chemotherapy.
- Overexpression of P-glycoprotein (P-gp) is a primary mechanism of MDR.
- Understanding P-gp regulation is crucial for overcoming drug resistance.
Purpose of the Study:
- To establish a quantitative Ultra Performance Liquid Chromatography and Tandem Mass Spectrometry (UPLC-MS/MS) method for P-gp.
- To determine P-gp expression levels in human tumor cells and their drug-resistant subclones.
- To investigate the relationship between P-gp expression and the level of drug resistance.
Main Methods:
- Developed a UPLC-MS/MS assay using a synthesized P-gp peptide and a stable isotope-labeled internal standard.
- Quantified absolute P-gp expression in parental and multidrug-resistant human tumor cell lines (MCF-7, HepG-2, SMMC-7721).
- Analyzed P-gp mRNA levels and correlated resistance index (RI) with P-gp expression.
Main Results:
- The UPLC-MS/MS method demonstrated linearity and acceptable precision/accuracy for P-gp quantification.
- Most drug-resistant subclones showed significantly increased P-gp expression compared to parental cells.
- P-gp overexpression was not solely regulated by MDR1, and a moderate to high correlation was found between RI and P-gp expression.
Conclusions:
- A robust UPLC-MS/MS method for P-gp quantification was successfully established.
- The study provides quantitative data on P-gp expression in various drug-resistant cancer models.
- This work advances the understanding of MDR mechanisms and expands LC-MS/MS applications for efflux transporter studies.
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