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Selinexor is a nuclear exportin-1 (XPO1) inhibitor that has been approved for the treatment of multiple myeloma patients. However, sustained use of selinexor may result in some undesirable consequences. Furthermore, selinexor has moderate inter-patient variability. Herein, we developed an ultrahigh-performance liquid chromatography tandem mass spectrometry method for measuring selinexor levels in human plasma ranging from 1 to 1000 ng mL. Furthermore, the developed approach was validated in accordance with FDA criteria. The established approach demonstrated inter-day and intra-day precision, expressed as the relative standard deviation, of less than 8%, with accuracies of less than 6%, expressed as relative error. The results showed that the protein depletion was quite complete for selinexor extraction, with recoveries ranging from 85.89 to 108.38%. The validated method facilitates the quantitation of selinexor in multiple myeloma patients. The selinexor plasma concentration exhibits obvious inter-patient' variability after administration. Thus, it is necessary to make a personalized prescription through therapeutic drug monitoring. Furthermore, the change in platelet counts before and after selinexor treatment was shown to be related to the plasma concentration at 3 h after administration, which provides the basis for therapeutic drug monitoring sampling time points and a method for predicting the occurrence of thrombocytopenia. In conclusion, the developed method can be used for the quantification of the plasma concentration of selinexor, and it is of great significance to conduct therapeutic drug monitoring for patients taking selinexor in order to enhance therapeutic effects and prevent the occurrence of adverse reactions.
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http://dx.doi.org/10.1039/d3ay02166a | DOI Listing |
Virchows Arch
September 2025
Department of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais, Minas Gerais, Av. Antônio Carlos, Pampulha, Belo Horizonte, 31270-901, Brazil.
Plasmablastic lymphoma (PBL) is a rare and aggressive non-Hodgkin lymphoma with a poor prognosis and short survival rates. It is classified as a large B-cell lymphoma subtype, but carries a plasmacytic immunophenotype. Therefore, PBL has pathogenetic overlaps with diffuse large B-cell lymphoma not otherwise specified (DLBCL NOS) and plasma cell neoplasms (PCNs).
View Article and Find Full Text PDFLeukemia
September 2025
Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany.
Intern Med
September 2025
Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Japan.
We herein report two cases of immunotactoid glomerulopathy (ITG) associated with multiple myeloma treated with daratumumab-based regimens. The first patient was an 81-year-old woman with severe renal insufficiency and IgAκ multiple myeloma (MM) that progressed to end-stage renal disease despite administering daratumumab-based therapy. The second patient, a 69-year-old man with smoldering MM, showed a favorable response to daratumumab-based treatment, with a resolution of nephrotic proteinuria.
View Article and Find Full Text PDFTransplant Cell Ther
September 2025
Fred Hutchinson Cancer Center, Seattle, WA, USA; University of Washington, Seattle, WA, USA.
Background: BCMA-directed chimeric antigen receptor (CAR)-T cell therapy represents a major therapeutic breakthrough for relapsed/refractory multiple myeloma (RRMM), offering deep and durable responses in heavily pretreated patients. However, a subset of patients experience early relapse or fail to respond, highlighting the need for strategies to enhance efficacy. Gamma-secretase inhibitors (GSIs) have been shown to increase surface BCMA expression on malignant plasma cells and may potentiate the activity of BCMA CAR-T cells, particularly in patients with low baseline BCMA antigen density.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
The Institute of Cancer Research, London, UK. Electronic address:
Background And Objective: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognised cancer imaging biomarkers. However, manual disease delineation for ADC and TDV measurements is unfeasible in clinical practice, demanding automation. As a first step, we propose an algorithm to generate fast and reproducible probability maps of the skeleton, adjacent internal organs (liver, spleen, urinary bladder, and kidneys), and spinal canal.
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