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Validated LC-MS/MS method for cisplatin quantification in plasma, whole blood, and cervical cancer tissue via diethyldithiocarbamate derivatization: Clinical application in cervical cancer

  • Honghao Bai
  • , Min Gyo Seo
  • , Seo Yeon Choi
  • , Vipada Khaowroongrueng
  • , Yoon Jee Chae
  • , Ji Young Jeon
  • , Sun Young Lee
  • , Min Gul Kim*
  • , Kwang Hee Shin
  • *Corresponding author for this work
  • Kyungpook National University
  • Woosuk University
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

The objective of this research was to establish an LC-MS/MS method with high sensitivity and selectivity for the quantification of cisplatin in human plasma, whole blood, and cervical cancer tissue samples. This approach employed diethyldithiocarbamate (DDTC) as a derivatizing agent for cisplatin, and analyte detection was conducted using the multiple reaction monitoring (MRM) mode. The method demonstrated lower limits of quantification (LLOQ) of 1 ng/mL for both plasma and tissue, while for whole blood, the LLOQ was determined to be 5 ng/mL. This method demonstrated remarkable linearity (R² >0.98), precision (coefficient of variation <15 %), accuracy (85 %–115 %), and minor matrix effects in all matrices. Stability assessments confirmed the robustness of the method under various conditions, including freeze-thaw cycles, short-term storage, and reinjection. Clinical samples from cervical cancer patients treated with intravenous 40 mg/m² cisplatin over 1 h revealed concentrations from below the LLOQ to 4250 ng/mL in plasma, 55–1673 ng/mL in whole blood, and 197–1613 ng/mL in tissue. The successful application of this method enables precise pharmacokinetic and tissue distribution studies of cisplatin, facilitating personalized dosing strategies to improve treatment outcomes for cervical cancer patients.

Original languageEnglish
Article number117180
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume268
DOIs
StatePublished - 2026.01.15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cervical cancer
  • Cisplatin
  • LC-MS/MS
  • Plasma
  • Tissue
  • Whole blood

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