ReviewStem cells (Dayton, Ohio)2025
High-throughput solutions in tumor organoids: from culture to drug screening.
Review in Stem cells (Dayton, Ohio), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- Development and application of organoid technology in pituitary neuroendocrine tumor research.The Journal of international medical research · 2026Review
- Article
- A Multicellular 3D GelMA-Based Colorectal Cancer Model for Chemotherapeutic Responses.Macromolecular bioscience · 2026Article
- Stem Cell-Derived Organoids for Cancer Therapy: Precision Medicine and Drug Selection.International journal of molecular sciences · 2026Review
- Organoid research: new concepts and new technologies.Burns & trauma · 2026Review
- Research Progress of Nanodelivery Platforms in the Diagnosis and Treatment of Esophageal Cancer.International journal of nanomedicine · 2026Review
- An organoid-guided roadmap for precision delivery of epigallocatechin gallate in oral submucous fibrosis.Frontiers in bioengineering and biotechnology · 2026Review
- High-Throughput 3D Bioprinted Organoids of Skin Cancer Utilized for Diagnosis and Personalized Therapy.Current oncology (Toronto, Ont.) · 2025Review
- A Practical Guide to Developing and Troubleshooting Patient-Derived "Mini-Gut" Colorectal Organoids for Clinical Research.Methods and protocols · 2025Article
- The 3D Language of Cancer: Communication via Extracellular Vesicles from Tumor Spheroids and Organoids.International journal of molecular sciences · 2025Review
- Precise Electromagnetic Modulation of the Cell Cycle and Its Applications in Cancer Therapy.International journal of molecular sciences · 2025Review
- Complementary strategies in pancreatic cancer precision medicine: therapeutic prediction and immune modulation.Frontiers in oncology · 2025Review
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.
Funding
Abstract
Tumor organoids have emerged as an ideal in vitro model for patient-derived tissues, as they recapitulate the characteristics of the source tumor tissue to a certain extent, offering the potential for personalized tumor therapy and demonstrating significant promise in pharmaceutical research and development. However, establishing and applying this model involves multiple labor-intensive and time-consuming experimental steps and lacks standardized protocols and uniform identification criteria. Thus, high-throughput solutions are essential for the widespread adoption of tumor organoid models. This review provides a comprehensive overview of current high-throughput solutions across the entire workflow of tumor organoids, from sampling and culture to drug screening. Furthermore, we explore various technologies that can control and optimize single-cell preparation, organoid culture, and drug screening with the ultimate goal of ensuring the automation and high efficiency of the culture system and identifying more effective tumor therapeutics.
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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.