Cancer chemotherapy and pharmacology
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Cancer Chemother. Pharmacol. · Jul 2021
Randomized Controlled TrialEvaluation of clinical outcomes and efficacy of palonosetron and granisetron in combination with dexamethasone in Egyptian patients receiving highly emetogenic chemotherapy.
Chemotherapy-induced nausea and vomiting (CINV) is considered one of the most serious adverse events affecting chemotherapy-receiving cancer patients. It dramatically affects their food intake, nutritional status and more importantly their quality of life. We can observe CINV in highly emetogenic chemotherapy (HEC) such as adriamycin-cyclophosphamide combination (AC) in breast cancer patients and cisplatin-based regimens in other cancer types. This study aimed to evaluate the antiemetic efficacy of palonosetron (PALO) over granisetron (GRA) in combination with dexamethasone for multiple highly emetogenic chemotherapy drugs (HEC), especially in chemotherapy regimens in Egyptian breast cancer patients and cisplatin-based regimens in other diseases. ⋯ Palonosetron, combined with dexamethasone, is more effective than granisetron and dexamethasone combination against both acute and delayed emesis induced by highly emetogenic chemotherapy (HEC) cisplatin-based protocols and the combination of cyclophosphamide and anthracyclines (AC). Medical team members should make more efforts, especially clinical pharmacy personnel, to monitor medications' effectiveness and help the medical team achieve a suitable and reliable care plan.
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Cancer Chemother. Pharmacol. · Nov 2020
Randomized Controlled TrialA placebo-controlled, double-blind, randomized study of recombinant thrombomodulin (ART-123) to prevent oxaliplatin-induced peripheral neuropathy.
The purpose of this clinical study was to be the first to explore whether ART-123, a recombinant human soluble thrombomodulin, prevents oxaliplatin-induced peripheral neuropathy (OIPN). ⋯ ART-123 showed a potential preventive effect against OIPN with good tolerability. A larger study with 1-day ART is warranted. NCT02792842, registration date: June 8, 2016.
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Cancer Chemother. Pharmacol. · Nov 2020
Physiologically based pharmacokinetic modeling and simulation to predict drug-drug interactions of ivosidenib with CYP3A perpetrators in patients with acute myeloid leukemia.
Develop a physiologically based pharmacokinetic (PBPK) model of ivosidenib using in vitro and clinical PK data from healthy participants (HPs), refine it with clinical data on ivosidenib co-administered with itraconazole, and develop a model for patients with acute myeloid leukemia (AML) and apply it to predict ivosidenib drug-drug interactions (DDI). ⋯ Potentially clinically relevant DDI effects with CYP3A4 inducers and moderate and strong inhibitors co-administered with ivosidenib were predicted. Considering the challenges of conducting clinical DDI studies in patients, this PBPK approach is valuable in ivosidenib DDI risk assessment and management.
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Cancer Chemother. Pharmacol. · Nov 2020
Assessment of acute kidney injury related to small-molecule protein kinase inhibitors using the FDA adverse event reporting system.
Small-molecule protein kinase inhibitors (PKIs) have substantially improved clinical outcomes of various diseases. However, some studies suggested these agents might induce acute kidney injury (AKI). This study was designed to comprehensively assess the adverse events of AKI in real-world patients receiving small-molecule PKIs using the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). ⋯ Analysis of the FAERS data helped identify the small-molecule PKIs that were most frequently reported for AKI. Further investigations are needed to confirm these potential risks.
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Cancer Chemother. Pharmacol. · Oct 2020
Physiologically based pharmacokinetic modeling to assess metabolic drug-drug interaction risks and inform the drug label for fedratinib.
Fedratinib (INREBIC®), a Janus kinase 2 inhibitor, is approved in the United States to treat patients with myelofibrosis. Fedratinib is not only a substrate of cytochrome P450 (CYP) enzymes, but also exhibits complex auto-inhibition, time-dependent inhibition, or mixed inhibition/induction of CYP enzymes including CYP3A. Therefore, a mechanistic modeling approach was used to characterize pharmacokinetic (PK) properties and assess drug-drug interaction (DDI) potentials for fedratinib under clinical scenarios. ⋯ The PBPK-DDI model of fedratinib facilitated drug development by identifying DDI potential, optimizing clinical study designs, supporting waivers for clinical studies, and informing drug label claims. Fedratinib dose should be reduced to 200 mg QD when a strong CYP3A4 inhibitor is co-administered and then re-escalated to 400 mg in a stepwise manner as tolerated after the strong CYP3A4 inhibitor is discontinued.