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DOI 10.1080/21691401.2019.1709857

Медицинская библиотека · Artificial cells, nanomedicine, and biotechnology · 2020

Preliminary biological evaluation of 123I-labelled anti-CD30-LDM in CD30-positive lymphomas murine models.

Gong Jianhua, Guo Feihu, Cheng Weihua, Fan Hongqiang, Miao Qingfang, Yang Jigang

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Overexpression of CD30 has been reported on the surface of some T-cell lymphomas, especially on Hodgkin's lymphoma (HL) and anaplastic large cell lymphoma (ALCL). CD30 targeted immunotherapy has good clinical therapy response. We have produced a novel antibody drug conjugates (ADCs)-anti-CD30-LDM, which shows attractive tumour-targeting capability and extremely potent antitumor efficacy. To further investigate biological characteristics and promote clinical translation of anti-CD30-LDM, we constructed a radiolabeled 123I-anti-CD30-LDM to evaluate the biodistribution characteristics. The anti-CD30-LDM was radioiodinated by the Iodogen method. The radiochemical purity of 123I-anti-CD30-LDM was more over 98%, and the specific activity of 240.5 MBq/mg. The stability and the specificity of 123I-anti-CD30-LDM were evaluated in vitro. Cellular binding assays were used to evaluate the binding capabilities in CD30-positive Karpas299 cells and CD30-negative Raji cells. B-NDG mice bearing Karpas 299 and Raji xenografts were used for in vivo biodistribution studies. Our results demonstrated that anti-CD30-LDM as an ideal ADC targeted to CD30, which was labelled easily with 123I and obtained the sufficient yields. The 123I-anti-CD30-LDM preserved specific binding to CD30 in vitro and uptake in tumour xenografts in B-NDG mice. These results are encouraging for anti-CD30-LDM as a promising clinical translational candidate for various CD30 positive lymphomas and other diseases.

Для цитирования: Gong Jianhua, Guo Feihu, Cheng Weihua, Fan Hongqiang, Miao Qingfang, Yang Jigang. Preliminary biological evaluation of 123I-labelled anti-CD30-LDM in CD30-positive lymphomas murine models.. Artificial cells, nanomedicine, and biotechnology. 2020. DOI: 10.1080/21691401.2019.1709857.

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