ReviewAdvances in experimental medicine and biology2016
Recapitulating Human Gastric Cancer Pathogenesis: Experimental Models of Gastric Cancer.
Review in Advances in experimental medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 15 citations in OpenAlex.
- Bad bugs mean business: gastric cancer is an intended consequence ofInfection and immunity · 2026Review
- Managing dangerous liaisons: lessons fromJournal of bacteriology · 2026Review
- Pathogenicity ofWorld journal of clinical oncology · 2025Review
- Emerging role of spasmolytic polypeptide-expressing metaplasia in gastric cancer.Journal of gastrointestinal oncology · 2024Review
- The SOCS-1 -1478CA/del functional polymorphism (rs33989964) is associated with gastric cancer but is unrelated to overall survival.Molecular biology reports · 2023Article
- The immune microenvironment in gastric adenocarcinoma.Nature reviews. Gastroenterology & hepatology · 2022Review
- EarlyCancers · 2021Article
- Article
- Gastric Metabolomics Detects Helicobacter pylori Correlated Loss of Numerous Metabolites in Both the Corpus and Antrum.Infection and immunity · 2021Article
- Early TP53 alterations engage environmental exposures to promote gastric premalignancy in an integrative mouse model.Nature genetics · 2020Article
- Animal Models of Cancer-Related Pain: Current Perspectives in Translation.Frontiers in pharmacology · 2020Review
- Establishment of a Human Gastric Cancer Xenograft Model in Immunocompetent Mice Using the Microcarrier-6.BioMed research international · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
This review focuses on the various experimental models to study gastric cancer pathogenesis, with the role of genetically engineered mouse models (GEMMs) used as the major examples. We review differences in human stomach anatomy compared to the stomachs of the experimental models, including the mouse and invertebrate models such as Drosophila and C. elegans. The contribution of major signaling pathways, e.g., Notch, Hedgehog, AKT/PI3K is discussed in the context of their potential contribution to foregut tumorigenesis. We critically examine the rationale behind specific GEMMs, chemical carcinogens, dietary promoters, Helicobacter infection, and direct mutagenesis of relevant oncogenes and tumor suppressor that have been developed to study gastric cancer pathogenesis. Despite species differences, more efficient and effective models to test specific genes and pathways disrupted in human gastric carcinogenesis have yet to emerge. As we better understand these species differences, "humanized" versions of mouse models will more closely approximate human gastric cancer pathogenesis. Towards that end, epigenetic marks on chromatin, the gut microbiota, and ways of manipulating the immune system will likely move center stage, permitting greater overlap between rodent and human cancer phenotypes thus providing a unified progression model.
Indexed as
Identifiers
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.