The emerging role of melflufen and peptide-conjugates in multiple myeloma

医学 达拉图穆马 多发性骨髓瘤 肿瘤科 内科学 临床试验 药品 重症监护医学 药理学 硼替佐米
作者
Nour Moukalled,Iman Abou Dalle,Jean El Cheikh,Yishan Ye,Florent Malarad,Mohamad Mohty,Ali Bazarbachi
出处
期刊:Current Opinion in Oncology [Ovid Technologies (Wolters Kluwer)]
标识
DOI:10.1097/cco.0000000000001090
摘要

Purpose of review The past two decades have witnessed an impressive expansion in the treatment landscape of multiple myeloma, leading to significant improvements in progression-free; as well as overall survival. However, almost all patients still experience multiple relapses during their disease course, with biological and cytogenetic heterogeneity affecting response to subsequent treatments. The purpose of this review is to provide a historical background regarding the role of alkylating agents and an updated data regarding the use of peptide–drug conjugates such as melflufen for patients with multiple myeloma. Recent findings The combination of daratumumab–melflufen–dexamethasone evaluated in the LIGHTHOUSE study showed a statistically significant improvement in progression-free survival compared to single-agent daratumumab (not reached vs. 4.9 months respectively; P = 0.0032), with improvement in overall response rate to 59% vs. 30% respectively; P = 0.03. Summary There have been an interest in developing and utilizing peptide–drug conjugates such as melflufen for treatment of patients with multiple myeloma, especially in the relapsed setting given historical results with alkylating agents, the use of which has been limited by dose-related toxicities in a disease that remains largely incurable. Single agent melflufen initially showed promising results especially in specific subgroups of heavily pretreated patients before the decision to suspend all clinical trials evaluating this agent after results from the OCEAN phase 3 trial. Subsequent reported analyses especially for melflufen-based combinations appear promising and suggest a potential use of peptide–drug conjugates provided optimal patient selection, as well as identification of the best companion agent.

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