Systematic review evaluates efficacy, safety, and biomarker stratification for glioblastoma therapy with Depatux-M, suggesting targeted benefits.
Background Glioblastoma (GBM) is an aggressive primary brain tumor with a dismal prognosis. Alterations in the Epidermal Growth Factor Receptor (EGFR) in about half of the cases, represent a key therapeutic target. Depatuxizumab mafodotin (Depatux-M) is an antibody-drug conjugate (ADC) developed to deliver a cytotoxic payload specifically to EGFR-amplified tumor cells. Aim This systematic review aims to synthesize all available clinical evidence to evaluate the antitumor efficacy, safety profile, pharmacokinetics, and biomarker-based stratification for Depatux-M in the treatment of glioblastoma. Methods A systematic literature search was conducted across PubMed, Scopus, Cochrane Library and Web of Science. After screening, 11 clinical studies involving a total of 1420 patients were included for analysis. Data on efficacy, safety, biomarkers, and pharmacokinetics were extracted and synthesized. Results The review found that Depatux-M demonstrated modest antitumor activity, with objective responses and improved progression-free survival primarily observed in the molecular subgroup of patients with tumors harboring EGFR amplification and/or the EGFRvIII mutation. Pharmacokinetic data showed linear, predictable exposure with low potential for drug-drug interactions, notably with temozolomide (TMZ). Ocular toxicities were the most common adverse events, occurring in over 90% of patients; these were often reversible and manageable. The overall safety profile was considered acceptable. Conclusion Depatuxizumab mafodotin presents a targeted treatment option with a manageable safety profile for a molecularly defined subset of glioblastoma patients. Its clinical benefit remains limited, underscoring the disease's heterogeneity and therapeutic resistance. The findings support the continued investigation of biomarker-guided ADC therapy and highlight the critical need for future clinical trials to integrate comprehensive molecular profiling for optimal patient selection.
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Matar et al. (2026) studied this question.
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