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转移性乳腺癌中抗体药物偶联物治疗的预测因素:一项叙述性综述

Predictive Factors of Antibody-Drug Conjugate Treatment in Metastatic Breast Cancer: A Narrative Review.

作者信息

Gadaleta-Caldarola Gennaro, Lanotte Laura, Santoro Anna Natalizia, Pinto Antonello, Gadaleta-Caldarola Arianna, Giacomelli Luca, Fedele Palma

机构信息

Oncology Unit, "Mons. A. R. Dimiccoli" Hospital, 70051 Barletta, Italy.

Oncology Unit, "Dario Camberlingo" Hospital, 72021 Francavilla Fontana, Italy.

出版信息

Cancers (Basel). 2024 Dec 5;16(23):4082. doi: 10.3390/cancers16234082.

Abstract

Antibody-drug conjugates (ADCs) have revolutionized the treatment landscape for metastatic breast cancer, offering targeted delivery of cytotoxic agents with improved efficacy and tolerability compared to conventional chemotherapy. This narrative review explores key predictive factors influencing the efficacy of ADCs, focusing on HER2-targeted therapies, such as trastuzumab emtansine and trastuzumab deruxtecan, as well as sacituzumab govitecan for triple-negative breast cancer. HER2 expression, TROP-2 levels, hormone receptor status, and the tumor microenvironment emerge as critical biomarkers for patient selection and therapeutic outcomes. Additionally, we discuss resistance mechanisms, such as antigen loss, impaired drug internalization, and the role of circulating tumor DNA in predicting ADC response. Finally, future perspectives on the sequential use of ADCs and potential combination therapies are highlighted, along with emerging agents targeting alternative antigens like HER3 and LIV-1. Overall, identifying predictive biomarkers and overcoming resistance mechanisms are essential for optimizing the use of ADCs in metastatic breast cancer, thereby improving patient outcomes.

摘要

抗体药物偶联物(ADCs)彻底改变了转移性乳腺癌的治疗格局,与传统化疗相比,它能够靶向递送细胞毒性药物,疗效更佳且耐受性更好。本叙述性综述探讨了影响ADCs疗效的关键预测因素,重点关注HER2靶向疗法,如曲妥珠单抗恩美曲妥珠单抗和曲妥珠单抗德曲妥珠单抗,以及用于三阴性乳腺癌的戈沙妥珠单抗。HER2表达、TROP-2水平、激素受体状态和肿瘤微环境已成为患者选择和治疗结果的关键生物标志物。此外,我们还讨论了耐药机制,如抗原丢失、药物内化受损以及循环肿瘤DNA在预测ADC反应中的作用。最后,强调了ADCs序贯使用和潜在联合疗法的未来前景,以及靶向HER3和LIV-1等替代抗原的新兴药物。总体而言,识别预测生物标志物和克服耐药机制对于优化ADCs在转移性乳腺癌中的应用至关重要,从而改善患者预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3ae/11640339/a059ad452120/cancers-16-04082-g001.jpg

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