ReviewStem cell reviews and reports2024
Advances and Applications of Cancer Organoids in Drug Screening and Personalized Medicine.
Review in Stem cell reviews and reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- From Signaling Pathways to Combination Therapy: Bioactive Compounds against Cancer Stem Cells.Stem cell reviews and reports · 2026Review
- Stem Cell-Derived Organoids for Cancer Therapy: Precision Medicine and Drug Selection.International journal of molecular sciences · 2026Review
- Organoid-based systems for biomedical innovation: advances in disease modeling, drug screening, and precision medicine.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Stem cells in organogenesis and regeneration.Stem cell research & therapy · 2026Review
- Case Report: Personalized treatment in an advanced lung adenocarcinoma patient with EGFR exon 21 L858R mutations based on the patient-derived tumor organoids.Frontiers in oncology · 2026Article
- Organoid research: new concepts and new technologies.Burns & trauma · 2026Review
- Advancing the understanding of alveolar regeneration: Global research trends, thematic evolution, and emerging frontiers.Regenerative therapy · 2025Review
- The application of organoids in investigating immune evasion in the microenvironment of gastric cancer and screening novel drug candidates.Molecular cancer · 2025Review
- Single-cell light-sheet fluorescence 3D images of tumour-stroma spheroid multicultures.Scientific data · 2025Article
- Organoids research progress in gynecological cancers: a bibliometric analysis.Frontiers in oncology · 2024Article
- A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types.Frontiers in bioengineering and biotechnology · 2024Article
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
Abstract
In recent years, the rapid emergence of 3D organoid technology has garnered significant attention from researchers. These miniature models accurately replicate the structure and function of human tissues and organs, offering more physiologically relevant platforms for cancer research. These intricate 3D structures not only serve as promising models for studying human cancer, but also significantly contribute to the advancement of various potential applications in the field of cancer research. To date, organoids have been efficiently constructed from both normal and malignant tissues originating from patients. Using such bioengineering platforms, simulations of infections and cancer processes, mutations and carcinogenesis can be achieved, and organoid technology is also expected to facilitate drug testing and personalized therapies. In conclusion, regenerative medicine has the potential to enhance organoid technology and current transplantation treatments by utilizing genetically identical healthy organoids as substitutes for irreversibly deteriorating diseased organs. This review explored the evolution of cancer organoids and emphasized the significant role these models play in fundamental research and the advancement of personalized medicine in oncology.
Indexed as
Identifiers
38532032What 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.