ReviewCancer metastasis reviews2021
Beyond tradition and convention: benefits of non-traditional model organisms in cancer research.
Review in Cancer metastasis reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Evaluating the Validity of Model Organisms: A Review and a New Framework for Biologists.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Dissecting cancer in a non-mammalian model: genomic insights from lemon frost geckos.BMC biology · 2026Article
- Units containing telomeric repeats are prevalent in subtelomeric regions of a Mesorhabditis isolate collected from the Republic of Korea.Genes & genomics · 2024Article
- Using Organoids to Tap Mammary Gland Diversity for Novel Insight.Journal of mammary gland biology and neoplasia · 2024Review
- Expanding the evo-devo toolkit: generation of 3D mammary tissue from diverse mammals.Development (Cambridge, England) · 2024Article
- A xenotransplantation mouse model to study physiology of the mammary gland from large mammals.PloS one · 2024Article
- Disease Animal Models for Cancer Research.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Application of Biocompatible Drug Delivery Nanosystems for the Treatment of Naturally Occurring Cancer in Dogs.Journal of functional biomaterials · 2022Review
- Induced mammary cancer in rat models: pathogenesis, genetics, and relevance to female breast cancer.Journal of mammary gland biology and neoplasia · 2022Review
- Development and Pathology of the Equine Mammary Gland.Journal of mammary gland biology and neoplasia · 2021Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional laboratory model organisms are indispensable for cancer research and have provided insight into numerous mechanisms that contribute to cancer development and progression in humans. However, these models do have some limitations, most notably related to successful drug translation, because traditional model organisms are often short-lived, small-bodied, genetically homogeneous, often immunocompromised, are not exposed to natural environments shared with humans, and usually do not develop cancer spontaneously. We propose that assimilating information from a variety of long-lived, large, genetically diverse, and immunocompetent species that live in natural environments and do develop cancer spontaneously (or do not develop cancer at all) will lead to a more comprehensive understanding of human cancers. These non-traditional model organisms can also serve as sentinels for environmental risk factors that contribute to human cancers. Ultimately, expanding the range of animal models that can be used to study cancer will lead to improved insights into cancer development, progression and metastasis, tumor microenvironment, as well as improved therapies and diagnostics, and will consequently reduce the negative impacts of the wide variety of cancers afflicting humans overall.
Indexed as
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What OpenQuestion holds
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.