ReviewInternational journal of oncology2024
Xenograft and organoid models in developing precision medicine for gastric cancer (Review).
Review in International journal of oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 4 citations in OpenAlex.
- CCL3 promotes oxaliplatin resistance in gastric cancer via CCR5-mediated tumor cell survival and macrophage M2 polarization.Molecular and cellular biochemistry · 2026Article
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- Plant-Derived Diterpenoids as Potential Chemotherapeutics for Gastric Cancer.Current oncology reports · 2026Review
- Article
- Establishment and characterization of patient-derived mucinous gastric cancer organoids with faithful histopathological features and reproducible drug response patterns.Frontiers in oncology · 2026Article
- Gastric organoids: A promising model for studying "inflammation-cancer" transition in atrophic gastritis.World journal of clinical oncology · 2025Review
- Telomerase inhibitors TMPyP4 and BIBR 1532 show synergistic antitumor activity in combination with chemotherapeutic drugs.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC), a highly heterogeneous disease, has diverse histological and molecular subtypes. For precision medicine, well‑characterized models encompassing the full spectrum of subtypes are necessary. Patient‑derived tumor xenografts and organoids serve as important preclinical models in GC research. The main advantage of these models is the retention of phenotypic and genotypic heterogeneity present in parental tumor tissues. Utilizing diverse sequencing techniques and preclinical models for GC research facilitates accuracy in predicting personalized clinical responses to anti‑cancer treatments. The present review summarizes the latest advances of these two preclinical models in GC treatment and drug response assessment.
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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.