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脂质体纳米颗粒武装双价双特异性单域抗体,针对 HER2 阳性癌细胞系的新型靶向武器。

Liposomal nanoparticle armed with bivalent bispecific single-domain antibodies, novel weapon in HER2 positive cancerous cell lines targeting.

机构信息

Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

出版信息

Mol Immunol. 2018 Apr;96:98-109. doi: 10.1016/j.molimm.2018.01.010. Epub 2018 Mar 14.

Abstract

Breast cancer is the leading cause of mortality among all cancers. HER2, human epidermal growth factor receptors type 2, a receptor tyrosine kinase that induces interminable cell proliferation, is overexpressed in 20-25 percent of breast cancers. In spite of significant progress in nanomedicine in the past decade, being subjected to genetic drift that hides many paramount epitopes has rendered targeting HER2 as a big challenge. In the present study, we developed monovalent and bivalent monospecific along with bivalent bispecific VHH targeting different epitopes on HER2, and showed that bivalent bispecific VHH has the highest affinity among other tested modalities. Then we covalently coupled VHHs to the fluorescent labeled liposomal nanoparticle to produce targeted liposomes. Based on flow cytometry results, bivalent bispecific VHH targeted liposomes showed the highest fluorescent intensity, on HER2 breast cancer cells. Liposomes conjugated to bivalent monospecific VHH exhibited enhanced affinity toward HER2 positive cell lines compared to monovalent targeted liposomes, with bivalent bispecific liposomes appearing as the most robust probe.

摘要

乳腺癌是所有癌症中导致死亡的主要原因。人表皮生长因子受体 2(HER2)是一种受体酪氨酸激酶,可导致无休止的细胞增殖,在 20-25%的乳腺癌中过表达。尽管过去十年在纳米医学方面取得了重大进展,但由于遗传漂移隐藏了许多重要表位,使得针对 HER2 成为一项重大挑战。在本研究中,我们开发了单价和双价单特异性以及针对 HER2 上不同表位的双价双特异性 VHH,并表明双价双特异性 VHH 在其他测试模式中具有最高的亲和力。然后,我们将 VHH 共价偶联到荧光标记的脂质体纳米颗粒上,以产生靶向脂质体。基于流式细胞术结果,双价双特异性 VHH 靶向脂质体在 HER2 乳腺癌细胞上显示出最高的荧光强度。与单价靶向脂质体相比,与双价单特异性 VHH 偶联的脂质体对 HER2 阳性细胞系表现出增强的亲和力,而双价双特异性脂质体则表现出最强的探针。

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