Broad-Spectrum Efficacy of CEACAM6-Targeted Antibody-Drug Conjugate with BET Protein Degrader in Colorectal, Lung, and Breast Cancer Mouse Models

CEACAM6 靶向抗体药物结合物与 BET 蛋白降解剂在结直肠癌、肺癌和乳腺癌小鼠模型中的广谱功效

阅读:9
作者:Hiroyuki Kogai, Shuntaro Tsukamoto, Minaho Koga, Masayuki Miyano, Tsuyoshi Akagi, Atsumi Yamaguchi, Kiyoshi Mori, Kunihito Gotoh, Youya Nakazawa

Abstract

Despite remarkable advances in cancer treatment, most solid cancers remain difficult to cure. We recently developed an antibody-drug conjugate (ADC; 84-EBET) for pancreatic cancer by using the carcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) antibody #84.7 and the bromodomain and extra-terminal (BET) protein degrader EBET. In this study, we showed the overexpression of CEACAM6 in colorectal, lung, and breast cancers and the broad-spectrum efficacy of 84-EBET in mouse models of these cancers. In vitro assays using cancer organoids and cell lines of colorectal, lung, and breast cancers revealed that 84-EBET was more potent than ADCs with known approved payloads-DXd, SN38, and monomethyl auristatin E-or standard chemotherapies. In mouse studies, a single injection of 84-EBET induced marked regression of colorectal-, lung-, and breast cancer patient-derived xenograft tumors and cell line-derived xenograft tumors. Moreover, in mouse syngeneic colorectal cancer, lung cancer, and breast cancer models resistant to PD-1 antibody, the combination of 84-EBET and PD-1 antibody induced complete regression of most tumors. Mechanistically, 84-EBET degraded bromodomain-containing protein 4 in both cancer and stromal cells via bystander efficacy. It decreased stromal inflammatory phenotypes and increased activated T-cell numbers in tumors. These results demonstrate that delivering BET protein degraders to tumors and their microenvironments via a CEACAM6-targeted ADC may be effective against a wide range of solid cancers.

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。