Humanized antibody-drug conjugates for Somatostatin receptor 2 (SSTR2)-positive tumor treatment.

IF 6.9 2区 医学 Q1 ONCOLOGY
Zhuoxin Zhou, Zhantao Du, Jiashuai Zhang, Anusua Sarkar, Davis Ballard, Natsorn Watcharadulyarat, Selena Khanal, Phoebe Hu, Lufang Zhou, Xiaoguang Liu
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Abstract

Somatostatin receptor 2 (SSTR2) is overexpressed in neuroendocrine tumors (NETs) and meningiomas. The objective of this study was to develop an SSTR2-targeted therapy to treat both tumors. We developed a humanized anti-SSTR2 monoclonal antibody demonstrating strong cancer cell binding, internalization in cancer cells, and tumor specificity, as evidenced by flow cytometry, confocal microscopy, and live-animal imaging. Antibody-drug conjugates were generated by conjugating the SSTR2 mAb with potent payloads, including monomethyl auristatin F or mertansine. In vitro assessments revealed high cytotoxicity across NET subtypes and meningioma cell lines. In vivo efficacy was confirmed in two mouse models, i.e. subcutaneous NET xenografts and intracranial meningioma xenografts, where treatment inhibited proliferation, induced apoptosis and cell death, exhibited minimal toxicity, and extended survival. The mechanism of action was further elucidated through bulk RNA sequencing after treatment. These findings highlight the therapeutic potential of our humanized SSTR2 mAb for targeted payload delivery in NETs and meningiomas.

促生长抑素受体2 (SSTR2)阳性肿瘤的人源化抗体-药物偶联物治疗。
生长抑素受体2 (SSTR2)在神经内分泌肿瘤(NETs)和脑膜瘤中过表达。这项研究的目的是开发一种针对sstr2的治疗方法来治疗这两种肿瘤。我们开发了一种人源抗sstr2单克隆抗体,通过流式细胞术、共聚焦显微镜和活体动物成像证明,该抗体具有很强的癌细胞结合性、癌细胞内化性和肿瘤特异性。抗体-药物偶联物是通过将SSTR2单抗与有效载荷(包括单甲基aurisatin F或mertansine)偶联而产生的。体外评估显示高细胞毒性跨NET亚型和脑膜瘤细胞系。在两种小鼠模型(即皮下NET异种移植和颅内脑膜瘤异种移植)中证实了体内疗效,其中治疗抑制增殖,诱导细胞凋亡和细胞死亡,毒性最小,并延长了生存期。治疗后通过大量RNA测序进一步阐明其作用机制。这些发现突出了我们的人源化SSTR2单抗在NETs和脑膜瘤靶向有效载荷递送方面的治疗潜力。
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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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