ReviewActa pharmaceutica Sinica. B2026
Organoids, organ-on-a-chip, and microtumors: Biomimetic 3D tumor models advancing drug development and precision medicine.
Review in Acta pharmaceutica Sinica. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Cancer Drug Delivery with Nanoparticles and Biomolecules: Stimuli-Responsive, Theranostic, and AI-Guided Approaches.Materials (Basel, Switzerland) · 2026Review
- Cell-Free DNA Release Kinetics and Fragmentation Reflect Treatment Response and Resistance In Vitro.Cells · 2026Article
- Advances in cell-derived extracellular matrix for 3D tumor modelling.Materials today. Bio · 2026Review
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- Illumination of Targeting Nanotherapeutics with Precision Eyes: From Optical to Radio-nanotheranostics.Theranostics · 2026Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rising global cancer burden underscores the urgent need for more effective drug development and personalized therapies. Conventional screening models, such as 2D cell lines and patient-derived xenografts, fail to adequately recapitulate the architecture, heterogeneity, and microenvironment of human tumors, limiting their clinical translatability. In response, human-derived biomimetic platforms have emerged. Organoids and organ-on-a-chip preserve key tumor genetics and stimulate dynamic, physiologically relevant microenvironments, whereas microtumors are distinguished by high biological fidelity. Microtumors uniquely retain the native tumor ecosystem, capture a broader spectrum of intratumoral heterogeneity, and, critically, maintain a functional immune microenvironment. Together, these systems enable drug screening that more faithfully reflects the clinical context, with strong potential to raise drug development success rates and support individualized therapy. This review consolidates the cutting-edge advancements and critical challenges associated with these models in drug development, precision medicine, and clinical translation. Furthermore, it envisions how Artificial Intelligence (AI) can drive its intelligent evolution, aiming to provide a robust evidentiary basis and practical reference for research and clinical practice, thereby propelling the field of precision oncology into a new era.
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.