dll3靶向T细胞接合物MK-6070在神经内分泌前列腺癌中的临床前活性

IF 5.5 2区 医学 Q1 ONCOLOGY
Sheng-Yu Ku, Nishat Manzar, Maria Mica Garcia, Min Jin Kim, David J Einstein, Steven P Balk, Yasutaka Yamada, Himisha Beltran
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引用次数: 0

摘要

神经内分泌前列腺癌是一种侵袭性前列腺癌,治疗选择有限。Delta-like ligand 3 (DLL3)是在绝大多数NEPC肿瘤中表达的一种细胞表面蛋白和治疗靶点。靶向DLL3的T细胞激活构建体MK-6070(以前称为HPN328)与肿瘤细胞上的DLL3和T细胞上的CD3以及血清白蛋白结合以延长半衰期。MK-6070目前正在进行1/2期试验,其中包括NEPC队列(NCT04471727)。本文报道了MK-6070在前列腺癌模型中的临床前活性,在体外和体内均对表达dll3的NEPC模型显示出高特异性和抗肿瘤活性,治疗后出现T细胞活化和肿瘤浸润。MK-6070在混合肿瘤中也显示出抗肿瘤活性,在与周围表达dll3的肿瘤细胞结合后影响dll3阴性的前列腺癌细胞,支持潜在的旁观者效应。总体而言,这些数据表明MK-6070在包括异质性肿瘤在内的NEPC临床前模型中具有良好的活性,支持了MK-6070的临床开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preclinical activity of the DLL3-targeted T cell engager MK-6070 in neuroendocrine prostate cancer.

Neuroendocrine prostate cancer is an aggressive variant of prostate cancer with limited therapeutic options. Delta-like ligand 3 (DLL3) is a cell surface protein and therapeutic target expressed in the vast majority of NEPC tumors. The DLL3-targeted T cell activating construct MK-6070 (formerly called HPN328) binds to both DLL3 on tumor cells and CD3 on T cells, as well as serum albumin to extend half-life. A phase 1/2 trial of MK-6070 is currently underway which includes an NEPC cohort (NCT04471727). Here we report the preclinical activity of MK-6070 in prostate cancer models, showing high specificity and anti-tumor activity in DLL3-expressing NEPC models both in vitro and in vivo, with T cell activation and tumor infiltration of T cells after treatment. MK-6070 also demonstrates anti-tumor activity in mixed tumors, impacting DLL3-negative prostate cancer cells after engagement with surrounding DLL3-expressing tumor cells, supporting a potential bystander effect. Overall, these data demonstrate promising activity of MK-6070 in NEPC preclinical models including heterogeneous tumors, supporting the clinical development of MK-6070.

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来源期刊
CiteScore
11.20
自引率
1.80%
发文量
331
审稿时长
3 months
期刊介绍: Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.
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