In Vitro Tumor Cell-Binding Assay to Select High-Binding Antibody and Predict Therapy Response for Personalized 64 Cu-Intraperitoneal Radioimmunotherapy against Peritoneal Dissemination of Pancreatic Cancer: A Feasibility Study.
Fukiko HiharaHiroki MatsumotoMitsuyoshi YoshimotoTakashi MasukoYuichi EndoChika IgarashiTomoko TachibanaMitsuhiro ShinadaMing-Rong ZhangGene KurosawaAya SugyoAtsushi B TsujiTatsuya HigashiHiroaki KuriharaMakoto UenoYukie YoshiiPublished in: International journal of molecular sciences (2022)
Peritoneal dissemination of pancreatic cancer has a poor prognosis. We have reported that intraperitoneal radioimmunotherapy using a 64 Cu-labeled antibody ( 64 Cu-ipRIT) is a promising adjuvant therapy option to prevent this complication. To achieve personalized 64 Cu-ipRIT, we developed a new in vitro tumor cell-binding assay ( 64 Cu-TuBA) system with a panel containing nine candidate 64 Cu-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 64 Cu-TuBA to select the highest-binding antibody for individual cancer cell lines and predict the treatment response in vivo for 64 Cu-ipRIT. 64 Cu-TuBA was performed using six human pancreatic cancer cell lines. For three cell lines, an in vivo treatment study was performed with 64 Cu-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 64 Cu-TuBA can be used for patient selection to enable personalized 64 Cu-ipRIT. Tumor cells isolated from surgically resected tumor tissues would be suitable for analysis with the 64 Cu-TuBA system in future clinical studies.
Keyphrases
- aqueous solution
- poor prognosis
- metal organic framework
- mouse model
- single cell
- small cell lung cancer
- gene expression
- stem cells
- binding protein
- endothelial cells
- long non coding rna
- lymph node
- epidermal growth factor receptor
- squamous cell carcinoma
- computed tomography
- tyrosine kinase
- papillary thyroid
- mesenchymal stem cells
- current status
- pluripotent stem cells
- single molecule