ArticleScientific reports2019
An In Vivo Mouse Model of Pelvic Recurrence of Human Colorectal Cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Compositionally Tunable Micelle Platform for Integrated Photoacoustic Imaging, Direct Visual Guidance, and Photothermal Therapy of Solid Tumors.ACS applied nano materials · 2026Article
- Precision cancer classification using liquid biopsy and advanced machine learning techniques.Scientific reports · 2024Article
- Antitumor effects of chemically modified miR-143 lipoplexes in a mouse model of pelvic colorectal cancer via myristoylated alanine-rich C kinase substrate downregulation.Molecular therapy. Nucleic acids · 2023Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pelvic recurrence of colorectal cancer is a crucial problem because radical surgery can lead to excessive invasion. Novel therapeutic strategies are required instead of surgery. However, there are few suitable models because of the difficulty in transplanting and observing tumors in the pelvis. We have established an appropriate injection site suitable for the establishment of colorectal cancer pelvic recurrence that allows for the observation of tumor growth. DLD-1 cells stably expressing luciferase (DLD-1 clone#1-Luc) were inoculated into various points of female BALB/c nude mice and the engrafted cells were analyzed with an imaging system employing bioluminescent signals and computed tomography. Weekly analysis with the imaging system showed that a triangular area defined by the vagina, the anus, and the ischial spine was suitable for the engraftment of pelvic tumors. The imaging system was able to detect the engrafted tumor 7 days after the inoculation of cells. Weight loss was observed in our model, and overall survival was 21-42 days. Tumor involvement of adjacent organs was detected histopathologically, as is the case in the clinical situation. These findings suggest that this model is valid for evaluations of the therapeutic effects of novel treatments under development. It is hoped that this model will be used in preclinical research.
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