1. High throughput LC/ESI-MS/MS method for simultaneous analysis of 20 oral molecular-targeted anticancer drugs and the active metabolite of sunitinib in human plasma
- Author
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Tensei Hirasawa, Masafumi Kikuchi, Shinya Takasaki, Masaki Kumondai, Yu Sato, Toshihiro Sato, Eishi Imoto, Yoshihiro Hayakawa, Masamitsu Maekawa, and Nariyasu Mano
- Subjects
Oral molecular-targeted drug ,LC/ESI-MS/MS ,Collision energy defects ,In-source collision-induced dissociation ,Secondary product ion selected reaction monitoring ,Isotopologue selected reaction monitoring ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Many types of oral molecular-targeted anticancer drugs are clinically used in cancer genomic medicine. Combinations of multiple molecular-targeted anticancer drugs are also being investigated, expecting to prolong the survival of patients with cancer. Therapeutic drug monitoring of oral molecular-targeted drugs is important to ensure efficacy and safety. A liquid chromatography/electrospray ionization-tandem mass spectrometry (LC/ESI-MS/MS) has been used for simultaneous determination of these drugs in human plasma. However, the sensitivity of mass spectrometers and differences in the therapeutic range of drugs have rendered the development of simultaneous LC/ESI-MS/MS methods difficult. In this study, a simultaneous quantitative method for 20 oral molecular-targeted anticancer drugs and the active metabolite of sunitinib was developed based on the results of linear range shifts of the calibration curves using four ion abundance adjustment techniques (collision energy defects, in-source collision-induced dissociation, secondary product ion selected reaction monitoring, and isotopologue selected reaction monitoring). The saturation of the detector for the seven analytes was resolved by incorporating optimal ion abundance adjustment techniques. Furthermore, the reproducibility of this method was confirmed in validation tests, and plasma from patients was measured by this method to demonstrate its usefulness in actual clinical practice. This analytical method is expected to make a substantial contribution to the promotion of personalized medicine in the future.
- Published
- 2023
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