研究目的
Investigating the potential of 111In-labeled anti-CDH17 monoclonal antibody D2101 as a noninvasive imaging probe for diagnosing gastric cancer and lymph-node metastasis.
研究成果
The 111In-anti-CDH17 Mab D2101 exhibited high levels of tumor uptake and low background levels in the biodistribution and SPECT/CT studies in a CDH17-positive gastric cancer mouse model. CDH17 is a promising diagnostic marker, and radiolabeled D2101 has the potential to provide useful information for the N-staging of gastric cancer.
研究不足
The study has several limitations: the uptake in CDH17-positive organs such as intestine may interfere distinguishing metastasis in lymph nodes around the stomach; the antibody does not have cross-reactivity to murine CDH17, limiting the prediction of pharmacokinetics in humans; CDH17 expression analysis was performed with a small sample size; and a more sensitive imaging technique might be needed to detect very small LN metastases.
1：Experimental Design and Method Selection:
The study involved the development of an 111In-labeled anti-CDH17 monoclonal antibody (Mab) as an imaging tracer. The cross-reactivity and affinity of the Mab were evaluated using surface plasmon resonance analysis and cell enzyme-linked immunosorbent assay. Biodistribution and SPECT/CT imaging studies were conducted on mice with CDH17-positive gastric cancer xenografts. CDH17 expression in gastric cancer specimens was analyzed by immunohistochemistry.
2：Sample Selection and Data Sources:
AGS cells with high CDH17 expression and MKN74 cells without CDH17 expression were used. Male BALB/c nude mice were inoculated with these cells to generate tumor-bearing models.
3：List of Experimental Equipment and Materials:
Equipment included a gamma-counter, SPECT/CT system, and surface plasmon resonance analyzer. Materials included RPMI-1640 medium, fetal bovine serum, and 111InCl
4：Experimental Procedures and Operational Workflow:
The Mab was radiolabeled with 111In, and its biodistribution was studied in tumor-bearing mice. SPECT/CT imaging was performed at various time points post-injection.
5：Data Analysis Methods:
Data were analyzed using PMOD data analysis software for SPECT/CT imaging and statistical analysis was performed using the Student’s t test.
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