医学
不利影响
药品
抗体-药物偶联物
抗体
重症监护医学
肿瘤科
皮肤病科
药理学
免疫学
单克隆抗体
作者
Bochra Bouguerra Zina,Frédérique Rousseau,Stephan Fauquier,Renaud Sabatier,Maria Kfoury
标识
DOI:10.1016/j.ctrv.2024.102867
摘要
The advent of Antibody-Drug Conjugates (ADC) represents a significant advancement in targeted therapy for gynaecological malignancies. However, the ocular toxicities associated with ADCs, particularly Tisotumab Vedotin (TV) and Mirvetuximab Soravtansine (MIRV) necessitate effective mitigation in order to optimise patient care. This review synthesises findings from clinical trials to delineate the spectrum of ocular adverse events induced by ADCs. The analysis focuses on the incidence, onset, severity and reversibility of adverse events. It examines the underlying mechanisms of toxicity and provides management strategies based on study protocols. Adverse events mainly impact the anterior ocular segment, resulting in conjunctivitis and keratopathy. They affect up to 56 % of patients treated with MIRV and 50 to 60 % of those receiving TV. Symptoms like blurred vision, dryness and pain hinder the patient's quality of life. Events are CTCAE grade 3 or higher in less than 10 % of cases. The median time to onset is 1.3 months. However, ocular toxicity may appear up to 10 months after treatment initiation, indicating a need for prolonged vigilance. Primary prophylaxis calls for local corticotherapy, lubricants and in some cases, vasoconstrictors. Despite the potential for severity, most cases are reversible with local treatment and transient dose reduction and/or delay. Close monitoring is crucial for early detection and subsequent management. Clinicians ought to be cognizant of the potential ocular toxicity of ADCs. Proactive prophylaxis, patient education and a multidisciplinary approach involving ophthalmologists are paramount to minimising the impact of these AEs. Further research is essential to measure the real outcome of preventive strategies and balance their benefits with potential short and long-term risks.
科研通智能强力驱动
Strongly Powered by AbleSci AI