ArticleMethods in molecular biology (Clifton, N.J.)2022
Employing Novel Porcine Models of Subcutaneous Pancreatic Cancer to Evaluate Oncological Therapies.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Safe and Effective Histotripsy Ablation of Human Liver Tumors in a Genetically Modified Porcine Model.Cancers · 2026Article
- OBSERVE: guidelines for the refinement of rodent cancer models.Nature protocols · 2024Review
- Successful In Situ Targeting of Pancreatic Tumors in a Novel Orthotopic Porcine Model Using Histotripsy.Ultrasound in medicine & biology · 2023Article
- Article
- Magnetic resonance brain volumetry biomarkers of CLN2 Batten disease identified with miniswine model.Scientific reports · 2023Article
- Clinical translation of abdominal histotripsy: a review of preclinical studies in large animal models.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023Review
- Magic bubbles: utilizing histotripsy to modulate the tumor microenvironment and improve systemic anti-tumor immune responses.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023Review
- Histotripsy Ablation in Preclinical Animal Models of Cancer and Spontaneous Tumors in Veterinary Patients: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunocompromised mice are commonly utilized to study pancreatic cancer and other malignancies. The ability to xenograft tumors in either subcutaneous or orthotopic locations provides a robust model to study diverse biological features of human malignancies. However, there is a dire need for large animal models that better recapitulate human anatomy in terms of size and physiology. These models will be critical for biomedical device development, surgical optimization, and drug discovery. Here, we describe the generation and application of immunocompromised pigs lacking RAG2 and IL2RG as a novel model for human xenograft studies. These SCID-like pigs closely resemble NOD scid gamma mice and are receptive to human tumor tissue, cell lines, and organoid xenografts. However, due to their immunocompromised nature, these immunocompromised animals require housing and maintenance under germfree conditions. In this protocol, we describe the use of these pigs in a subcutaneous tumor injection study with human PANC1 cells. The tumors demonstrate a steady, linear growth curve, reaching 1.0 cm within 30 days post injection. The model described here is focused on subcutaneous injections behind the ear. However, it is readily adaptable for other locations and additional human cell types.
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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 OpenQuestion graph.