LC-MS/MS Method for the Quantification of PARP Inhibitors Olaparib, Rucaparib and Niraparib in Human Plasma and Dried Blood Spot: Development, Validation and Clinical Validation for Therapeutic Drug Monitoring

Author:

Canil Giovanni1,Orleni Marco12ORCID,Posocco Bianca1ORCID,Gagno Sara1,Bignucolo Alessia1ORCID,Montico Marcella3ORCID,Roncato Rossana1ORCID,Corsetti Serena4,Bartoletti Michele4ORCID,Toffoli Giuseppe1ORCID

Affiliation:

1. Experimental and Clinical Pharmacology Unit, CRO Aviano, National Cancer Institute, IRCCS, 33081 Aviano, Italy

2. Doctoral School in Pharmacological Sciences, University of Padua, 35131 Padova, Italy

3. Clinical Trial Office, CRO Aviano, National Cancer Institute, IRCSS, 33081 Aviano, Italy

4. Department of Medical Oncology, CRO Aviano, National Cancer Institute, IRCCS, 33081 Aviano, Italy

Abstract

Poly (ADP-ribose) polymerase inhibitors (PARPis) are becoming increasingly meaningful in oncology, and their therapeutic drug monitoring (TDM) might be beneficial for patients. Several bioanalytical methods have been reported for PARPis quantification in human plasma, but advantages might be obtained using dried blood spot (DBS) as a sampling technique. Our aim was to develop and validate a liquid chromatography-tandem mass spectrometric (LC-MS/MS) method for olaparib, rucaparib, and niraparib quantification in both human plasma and DBS matrices. Additionally, we aimed to assess the correlation between the drug concentrations measured in these two matrices. DBS from patients was obtained using Hemaxis DB10 for volumetric sampling. Analytes were separated on a Cortecs-T3 column and detected with electrospray ionization (ESI)-MS in positive ionization mode. Validation was performed according to the latest regulatory guidelines, in the range (ng/mL) 140–7000 for olaparib, 100–5000 for rucaparib, and 60–3000 for niraparib, within the hematocrit (Hct) range 29–45%. The Passing–Bablok and Bland–Altman statistical analyses revealed a strong correlation between plasma and DBS for olaparib and niraparib. However, due to the limited amount of data, it was challenging to establish a robust regression analysis for rucaparib. To ensure a more reliable assessment, additional samples are required. The DBS-to-plasma ratio was used as a conversion factor (CF) without considering any patient-related hematological parameters. These results provide a solid basis for the feasibility of PARPis TDM using both plasma and DBS matrices.

Publisher

MDPI AG

Subject

Pharmaceutical Science

Reference57 articles.

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