ArticleJournal of gastroenterology2025
Molecular imaging of gastrointestinal stromal tumor using anti-c-KIT antibody and its fragments.
Article in Journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Orthotopic Esophageal Cancer Xenograft Model in Immunosuppressed Microminipigs for Near-Infrared Fluorescence Endoscopy.Cancer science · 2026Article
- Lutetium-177 radiopharmaceuticals in cancer care: progress and challenges.Frontiers in pharmacology · 2026Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastrointestinal stromal tumors (GISTs) are malignant subepithelial tumors, known for their poor prognosis due to distant metastasis. Because GIST is covered by a normal mucosal layer, effective tissue biopsy under conventional endoscopy is difficult, thereby leading to delayed diagnosis and a dismal prognosis. We performed molecular imaging of GIST targeting c-KIT using fluorescence-labeled anti-c-KIT antibody/fragments and fluorescent endoscopy.
methodsMouse anti-human c-KIT monoclonal antibody, its F(ab')
resultsThe GIST-T1 cell live imaging revealed strong signals on cell membranes after 1 min incubation, and thereafter, they aggregated and internalized inside the cells within 130 min in all antibody/fragment groups. In vivo mouse experiments, AF680-labeled IgG slowly accumulated in tumors peaking at 24 h after injection. However, AF680-labeled F(ab')
conclusionsAF680-labeled antibody/fragments showed clear and specific fluorescence signals in GIST xenografts in mice. Particularly, AF680-labeled Fab showed the strongest signal intensity at 1-2 h post-administration and rapid clearance, suggestive of the safety. This approach may enable molecular imaging diagnosis of GIST by endoscopy in outpatient settings in the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.