Suppr超能文献

乳腺癌中的抗体药物偶联物:关于如何选择性递送有效载荷的全面综述

Antibody-Drug Conjugates in Breast Cancer: A Comprehensive Review of How to Selectively Deliver Payloads.

作者信息

Monteiro Mariana Ribeiro, Nunes Natalia Cristina Cardoso, Junior Aumilto Augusto da Silva, Fêde Angelo Bezerra de Souza, Bretas Gustavo de Oliveira, Souza Cristiano de Pádua, Mano Max, da Silva Jesse Lopes

机构信息

Instituto Americas, São Paulo, Brazil.

Hospital Samaritano, São Paulo, Brazil.

出版信息

Breast Cancer (Dove Med Press). 2024 Feb 28;16:51-70. doi: 10.2147/BCTT.S448191. eCollection 2024.

Abstract

Antibody-drug conjugates (ADCs) have surfaced as a promising group of anticancer agents employing the precise targeting capacity of monoclonal antibodies to transport highly effective cytotoxic payloads. Compared to conventional chemotherapy, they aim to selectively eradicate cancer cells while minimizing off-target toxicity on healthy tissues. An increasing body of evidence has provided support for the efficacy of ADCs in treating breast cancer across various contexts and tumor subtypes, resulting in significant changes in clinical practice. Nevertheless, unlocking the full potential of these therapeutic agents demands innovative molecular designs to address complex clinical challenges, including drug resistance, tumor heterogeneity, and treatment-related adverse events. This thorough review provides an in-depth analysis of the clinical data on ADCs, offering crucial insights from pivotal clinical trials that assess the efficacy of ADCs in diverse breast cancer settings. This aids in providing a comprehensive understanding of the current state of ADCs in breast cancer therapy, while also providing valuable perspectives for the future.

摘要

抗体药物偶联物(ADCs)已成为一类有前景的抗癌药物,它利用单克隆抗体的精确靶向能力来输送高效的细胞毒性载荷。与传统化疗相比,它们旨在选择性地根除癌细胞,同时将对健康组织的脱靶毒性降至最低。越来越多的证据支持了ADCs在各种情况下和肿瘤亚型中治疗乳腺癌的疗效,这导致了临床实践的重大变化。然而,要充分发挥这些治疗药物的潜力,需要创新的分子设计来应对复杂的临床挑战,包括耐药性、肿瘤异质性和治疗相关的不良事件。这篇全面的综述对ADCs的临床数据进行了深入分析,提供了关键临床试验的重要见解,这些试验评估了ADCs在不同乳腺癌环境中的疗效。这有助于全面了解ADCs在乳腺癌治疗中的现状,同时也为未来提供了有价值的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d854/10909371/ef13af485e1c/BCTT-16-51-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验