ReviewMolecular cancer2026
The application of experimental models for the drug discovery for digestive tumors.
Review in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Drug development for digestive tumors depends on various preclinical models to evaluate their efficacy and safety. Traditional models, such as 2D cell lines and animal models, fail to recapitulate the complex pathology in the human body. Recently, novel models, such as 3D organoids, tumor spheroids, and organ-on-a-chip systems, have undergone rapid growth. These models can recapitulate tissue architecture and the microenvironment in a more faithful way, enhancing the translational relevance of in vitro experiments to clinical outcomes. Moreover, patient-derived xenografts and genetically engineered models retain the genetic heterogeneity and immune contexture of original tumors, which play critical roles in assessing drug efficacy and resistance mechanisms. This review aims to explore the strengths and limitations of diverse models in drug discovery for digestive tumors. In addition, we delineate their utility in target discovery or validation, lead compound screening, and preclinical mechanistic profiling. Current studies indicate that drug failure rates can be minimized by the integration of 2D high-throughput screening, 3D organoid/tumor spheroid screening, and in vivo animal validation. Multimodal synergy and personalized models can lead to the development of more efficient and precise approaches for treating digestive tumors.
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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.