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早期乳腺癌的系统性治疗:从过去中学习,为未来而建。

Systemic therapy for early-stage breast cancer: learning from the past to build the future.

机构信息

Institut Jules Bordet and l'Université Libre de Bruxelles, Brussels, Belgium.

Institut Universitaire de Cancérologie AP-HP Sorbonne Université, Inserm U938, Cours St-Paul, Paris, France.

出版信息

Nat Rev Clin Oncol. 2022 Dec;19(12):763-774. doi: 10.1038/s41571-022-00687-1. Epub 2022 Oct 17.

Abstract

The treatment of breast cancer has improved dramatically over the past century, from a strictly surgical approach to a coordinated one, including local and systemic therapies. Systemic therapies for early-stage disease were initially tested against observation or placebo only in adjuvant trials. Subsequent clinical trials focusing on treatment 'fine-tuning' had a marked increase in cohort size, duration and costs, leading to a growing interest in the neoadjuvant setting in the past decade. Neoadjuvant trial designs have the advantages of enabling the direct evaluation of treatment effects on tumour diameter and offer unique translational research opportunities through the comparative analysis of tumour biology before, during and after treatment. Current technologies enabling the identification of better predictive biomarkers are shaping the new era of (neo)adjuvant trials. An urgent need exists to reinforce collaboration between the pharmaceutical industry and academia to share data and thus establish large databases of biomarker data coupled with patient outcomes that are easily accessible to the scientific community. In this Review, we summarize the evolution of (neo)adjuvant trials from the pre-genomic to the post-genomic era and provide critical insights into how neoadjuvant studies are currently designed, discussing the need for better end points and treatment strategies that are more personalized, including in the post-neoadjuvant setting.

摘要

在过去的一个世纪中,乳腺癌的治疗方法有了显著的改善,从单纯的手术方法转变为包括局部和全身治疗在内的综合治疗方法。早期疾病的全身治疗最初仅在辅助试验中针对观察或安慰剂进行测试。随后,专注于治疗“微调”的临床试验,其队列规模、持续时间和成本显著增加,这导致过去十年中人们对新辅助治疗环境的兴趣日益浓厚。新辅助试验设计具有以下优势:能够直接评估治疗对肿瘤直径的影响,并通过治疗前后肿瘤生物学的比较分析提供独特的转化研究机会。当前能够识别更好的预测生物标志物的技术正在塑造(新)辅助试验的新时代。迫切需要加强制药行业和学术界之间的合作,共享数据,从而建立包含生物标志物数据和患者预后的大型数据库,以便科学界能够轻松访问这些数据。在这篇综述中,我们总结了从基因组前时代到基因组后时代的(新)辅助试验的演变,并深入探讨了新辅助研究目前的设计方式,讨论了需要更好的终点和更个性化的治疗策略的必要性,包括在新辅助治疗后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e195/9575647/af8582fb9b92/41571_2022_687_Fig1_HTML.jpg

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