Optimizing lazertinib therapy through GSTM1 genotyping: a strategy to reduce excess drug exposure and potential toxicity
Publication date
2025-11-07
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Abstract
PURPOSE: The combination of lazertinib and amivantamab has shown superior efficacy over first line osimertinib in EGFR-mutated metastatic non-small cell lung cancer, but is associated with significant toxicity and high costs. Lazertinib exposure varies widely due to genetic polymorphisms of the encoding for GSTM1, with almost 50% of Caucasians having a non-functional enzyme resulting in an approximate twofold higher systemic drug exposure. Despite this, all patients receive a fixed 240 mg once-daily dose irrespective of GSTM1 status, leading to avoidable toxicity without additional clinical benefit. Our purpose was to develop alternative dosing regimens based on GSTM1 status. METHODS: We conducted pharmacokinetic simulations using an existing validated population pharmacokinetic model to evaluate genotype-guided alternative dosing strategies in GSTM1 null individuals. RESULTS: Two regimens- 160 mg once daily (QD) and 240 mg every other day-were predicted to provide systemic exposures comparable to or exceeding those seen in GSTM1 non-null patients on the standard dose. The 160 mg QD dose resulted in a geometric mean ratio in GSTM1 null patients (GMR) for the trough (Ctrough) and average (Caverage) concentration relative tot he approved dose in GSTM1 non-null patients of 1.43 and 1.19, respectively. The respective GMRs for Ctrough and Caverage associated with 240 mg every-other-day dosing were 0.90 and 0.89, and this dosing regimen could reduce drug expenses up to 50% ($132.860 per year per patient) based on current pricing. CONCLUSION: Our findings support the feasibility of individualized lazertinib dosing based on GSTM1 status to reduce toxicity and healthcare costs without compromising effective exposure.
Keywords
Acrylamides, Aniline Compounds/administration & dosage, Antineoplastic Combined Chemotherapy Protocols/pharmacokinetics, Carcinoma, Non-Small-Cell Lung/drug therapy, Computer Simulation, Dose-Response Relationship, Drug, ErbB Receptors/genetics, Genotype, Glutathione Transferase/genetics, Humans, Indoles, Lung Neoplasms/drug therapy, Models, Biological, Polymorphism, Genetic, Pyrimidines, Quinolines/administration & dosage, Journal Article
Citation
Ter Heine, R, van den Bosch, B J C, van Geel, R M, van Geffen, W H, Hendriks, L E L, van den Heuvel, M M, Koele, S E, de Langen, A J, Oude Munnink, T H & van der Wekken, A J 2025, 'Optimizing lazertinib therapy through GSTM1 genotyping : a strategy to reduce excess drug exposure and potential toxicity', Cancer chemotherapy and pharmacology, vol. 95, no. 1, 105. https://doi.org/10.1007/s00280-025-04828-y