乳腺癌中的抗体-药物偶联物:导航创新,克服耐药性,塑造未来疗法。

IF 3.9 3区 工程技术 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Hussein Sabit, Salma Abbas, Moataz T El-Safoury, Engy M Madkour, Sahar Mahmoud, Shaimaa Abdel-Ghany, Yasser Albrahim, Ibtesam S Al-Dhuayan, Sanaa Rashwan, Ahmed El-Hashash, Borros Arneth
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引用次数: 0

摘要

抗体-药物偶联物(adc)通过结合靶向抗体特异性和有效的细胞毒性载荷,从而提高疗效,同时最大限度地减少全身毒性,彻底改变了乳腺癌(BC)治疗。这篇综述强调了推动ADC发展的重大创新以及持续的挑战。最近的进展包括针对多种抗原(如HER2、HER3和CD276)的新型抗体-药物偶联物(ADC)设计,显示出有效的抗肿瘤活性和改进的药物递送策略。例如,双载荷adc和利用细胞外囊泡的adc为精确肿瘤学提供了新的维度。adc整合到顺序治疗中,如sacituzumab govitecan与TOP1/PARP抑制剂,进一步强调了它们的协同潜力。尽管有这些创新,关键的挑战仍然存在,包括肿瘤异质性和获得性耐药,通常涉及复杂的分子改变。此外,优化ADC组件,包括连接物化学和有效载荷特性,对于确保稳定性和最小化脱靶毒性至关重要。人工智能和机器学习在加速adc的设计、目标识别和个性化患者分层方面发挥着关键作用。本综述旨在全面探讨BC ADC开发的前沿创新和内在挑战,提供其当前影响和未来轨迹的整体视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Antibody-Drug Conjugates in Breast Cancer: Navigating Innovations, Overcoming Resistance, and Shaping Future Therapies.

Antibody-Drug Conjugates in Breast Cancer: Navigating Innovations, Overcoming Resistance, and Shaping Future Therapies.

Antibody-Drug Conjugates in Breast Cancer: Navigating Innovations, Overcoming Resistance, and Shaping Future Therapies.

Antibody-Drug Conjugates in Breast Cancer: Navigating Innovations, Overcoming Resistance, and Shaping Future Therapies.

Antibody-drug conjugates (ADCs) have revolutionized breast cancer (BC) therapy by combining targeted antibody specificity with potent cytotoxic payloads, thereby enhancing efficacy while minimizing systemic toxicity. This review highlights significant innovations driving ADC development alongside persistent challenges. Recent advancements include novel antibody-drug conjugate (ADC) designs targeting diverse antigens, such as HER2, HER3, and CD276, demonstrating potent anti-tumor activity and improved strategies for drug delivery. For instance, dual-payload ADCs and those leveraging extracellular vesicles offer new dimensions in precision oncology. The integration of ADCs into sequential therapy, such as sacituzumab govitecan with TOP1/PARP inhibitors, further underscores their synergistic potential. Despite these innovations, critical challenges remain, including tumor heterogeneity and acquired drug resistance, which often involve complex molecular alterations. Moreover, optimizing ADC components, including linker chemistry and payload characteristics, is essential for ensuring stability and minimizing off-target toxicity. The burgeoning role of artificial intelligence and machine learning is pivotal in accelerating the design of ADCs, target identification, and personalized patient stratification. This review aims to comprehensively explore the cutting-edge innovations and inherent challenges in ADC development for BC, providing a holistic perspective on their current impact and future trajectory.

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来源期刊
Biomedicines
Biomedicines Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.20
自引率
8.50%
发文量
2823
审稿时长
8 weeks
期刊介绍: Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.
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