In Vitro Tumor Cell-Binding Assay to Select High-Binding Antibody and Predict Therapy Response for Personalized 64Cu-Intraperitoneal Radioimmunotherapy against Peritoneal Dissemination of Pancreatic Cancer: A Feasibility Study

体外肿瘤细胞结合试验筛选高结合抗体并预测个性化 64Cu-腹腔内放射免疫治疗对胰腺癌腹膜播散的治疗反应:一项可行性研究

阅读:9
作者:Fukiko Hihara, Hiroki Matsumoto, Mitsuyoshi Yoshimoto, Takashi Masuko, Yuichi Endo, Chika Igarashi, Tomoko Tachibana, Mitsuhiro Shinada, Ming-Rong Zhang, Gene Kurosawa, Aya Sugyo, Atsushi B Tsuji, Tatsuya Higashi, Hiroaki Kurihara, Makoto Ueno, Yukie Yoshii

Abstract

Peritoneal dissemination of pancreatic cancer has a poor prognosis. We have reported that intraperitoneal radioimmunotherapy using a 64Cu-labeled antibody (64Cu-ipRIT) is a promising adjuvant therapy option to prevent this complication. To achieve personalized 64Cu-ipRIT, we developed a new in vitro tumor cell-binding assay (64Cu-TuBA) system with a panel containing nine candidate 64Cu-labeled antibodies targeting seven antigens (EGFR, HER2, HER3, TfR, EpCAM, LAT1, and CD98), which are reportedly overexpressed in patients with pancreatic cancer. We investigated the feasibility of 64Cu-TuBA to select the highest-binding antibody for individual cancer cell lines and predict the treatment response in vivo for 64Cu-ipRIT. 64Cu-TuBA was performed using six human pancreatic cancer cell lines. For three cell lines, an in vivo treatment study was performed with 64Cu-ipRIT using high-, middle-, or low-binding antibodies in each peritoneal dissemination mouse model. The high-binding antibodies significantly prolonged survival in each mouse model, while low-and middle-binding antibodies were ineffective. There was a correlation between in vitro cell binding and in vivo therapeutic efficacy. Our findings suggest that 64Cu-TuBA can be used for patient selection to enable personalized 64Cu-ipRIT. Tumor cells isolated from surgically resected tumor tissues would be suitable for analysis with the 64Cu-TuBA system in future clinical studies.

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。