PURPOSE: Datopotamab deruxtecan (Dato-DXd) is a humanized anti-trophoblast cell-surface antigen-2 (TROP2) IgG1 mAb linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCX) varying in TROP2 expression. EXPERIMENTAL DESIGN: The antitumor activity of Dato-DXd and isotype-control-DXd (IgG-DXd) was assessed against 11 BCXs varying in TROP2 expression, 10 representing tumors postneoadjuvant chemotherapy. Pharmacodynamic effects were assessed at 24 and 72 hours. The effects of TROP2 expression on Dato-DXd activity was assessed in vitro and in vivo using viral overexpression in BCX-derived cell lines. RESULTS: Models differed in their sensitivity to both Dato-DXd and IgG-DXd. Dato-DXd (10 mg/kg) led to objective response in 4 (36%) models and statistically significant prolongation of event-free survival in 8 (73%) models, whereas IgG-DXd (10 mg/kg) led to response in 1 (9%) and prolonged event-free survival in 3 (27%) models. TROP2 RNA and protein were significantly higher in Dato-DXd-sensitive models. In isogenic cell lines derived from Dato-DXd-resistant BCXs, overexpression of TROP2 conferred Dato-DXd antitumor activity in vitro and in vivo. Dato-DXd increased γH2AX and phospho-KAP1 in the two Dato-DXd-sensitive BCXs but not in a Dato-DXd-resistant BCX. In Dato-DXd-sensitive models, antitumor activity was enhanced in combination with a PARP inhibitor, olaparib. CONCLUSIONS: Dato-DXd is active in breast cancer models. Dato-DXd has TROP2-dependent and -independent mediators of activity; however, high TROP2 expression enhances Dato-DXd antitumor activity.
Antitumor Activity and Biomarker Analysis for TROP2 Antibody-Drug Conjugate Datopotamab Deruxtecan in Patient-Derived Breast Cancer Xenograft Models.
TROP2 抗体-药物偶联物 Datopotamab Deruxtecan 在患者来源的乳腺癌异种移植模型中的抗肿瘤活性和生物标志物分析
阅读:5
作者:Meric-Bernstam Funda, Yuca Erkan, Evans Kurt W, Zhao Ming, Maejima Takanori, Karibe Tsuyoshi, Raso Maria Gabriela, Tang Ximing, Zheng Xiaofeng, Rizvi Yasmeen Qamar, Akcakanat Argun, Scott Stephen M, Wang Bailiang, Byers Lauren A, Tripathy Debu, Okajima Daisuke, Damodaran Senthil
| 期刊: | Clinical Cancer Research | 影响因子: | 10.200 |
| 时间: | 2025 | 起止号: | 2025 Feb 3; 31(3):573-587 |
| doi: | 10.1158/1078-0432.CCR-24-1948 | 研究方向: | 肿瘤 |
| 疾病类型: | 乳腺癌 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
