Antibody-drug conjugates: a practical review on clinical management of toxicities.

IF 3 3区 医学 Q2 ONCOLOGY
Expert Review of Anticancer Therapy Pub Date : 2026-10-01 Epub Date: 2026-06-08 DOI:10.1080/14737140.2026.2685304
Antonio De Palma, Marco Marenco, Sofia Mancini, Innocenza Palaia, Giacomo Barchiesi, Violante Di Donato, Giorgia Perniola, Maria Cristina Petrella, Ludovico Muzii, Federica Tomao
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引用次数: 0

Abstract

Introduction: Antibody-drug conjugates (ADCs) are rapidly expanding across solid tumors, but their toxicity profiles remain heterogeneous and clinically challenging. This review addresses the need for practical, standardized approaches to identifying and managing ADC-related adverse events.

Areas covered: We summarize the mechanisms underlying ADC toxicity, focusing on EMA-approved agents and their most frequent or severe adverse events, including ILD/pneumonitis, ocular toxicity, neutropenia, diarrhea, skin reactions, and hyperglycemia. We combine evidence from pivotal trials, regulatory documents, and emerging literature with practical clinical experience. The review includes operational algorithms and flowcharts designed to support real-world decision-making. Literature was identified through PubMed and EMBASE searches, regulatory Summary of Product Characteristics (SmPCs), and key phase I-III clinical trials up to January 2025.

Expert opinion: Improving ADC tolerability will require earlier identification of high-risk patients, structured toxicity-monitoring pathways, and molecular innovations such as Fc engineering, linker optimization, and probody or bispecific ADC formats. Integrating predictive tools, including AI-based radiomics, may further reduce toxicity and expand the therapeutic index.

抗体-药物偶联物:毒性临床管理的实用综述。
抗体-药物偶联物(adc)在实体肿瘤中的应用正在迅速扩大,但它们的毒性特征仍然是异质性的,并且具有临床挑战性。本综述探讨了识别和管理adc相关不良事件的实用、标准化方法的需求。涵盖领域:我们总结了ADC毒性的机制,重点是ema批准的药物及其最常见或最严重的不良事件,包括ILD/肺炎、眼毒性、中性粒细胞减少症、腹泻、皮肤反应和高血糖。我们将关键试验、监管文件和新兴文献的证据与实际临床经验相结合。审查包括操作算法和流程图,旨在支持现实世界的决策。文献通过PubMed和EMBASE检索、产品特性监管摘要(SmPCs)和截止2025年1月的关键I - III期临床试验进行鉴定。专家意见:提高ADC耐受性需要早期识别高风险患者、结构化毒性监测途径和分子创新,如Fc工程、连接器优化、探针或双特异性ADC格式。整合预测工具,包括基于人工智能的放射组学,可能会进一步降低毒性并扩大治疗指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
自引率
3.00%
发文量
100
审稿时长
4-8 weeks
期刊介绍: Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches. Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.
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