ReviewCell death discovery2025
Breakthroughs and challenges of organoid models for assessing cancer immunotherapy: a cutting-edge tool for advancing personalised treatments.
Review in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed.
- A p53Molecular therapy. Oncology · 2026Article
- Chimeric antigen receptor (CAR)-T cell therapy for solid tumors in pediatric patients: current breakthroughs, dilemmas, and strategies.Experimental hematology & oncology · 2026Review
- A spatially resolved implantable microdevice for multiplexed in situ screening of engineered cellular therapies in solid tumors.Science advances · 2026Article
- Three-dimensional spheroid models in breast cancer: tumor microenvironment complexity, cancer stem cell-driven resistance, and translational model integration.Journal of translational medicine · 2026Review
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- The Next Phase of 3D Bioprinting: AI-Native Systems-A Narrative Review.Journal of functional biomaterials · 2026Review
- A 3D pooled PBMC-organoid co-culture platform for profiling immune susceptibility and PD-1 blockade response in gastric cancer.BMC medicine · 2026Article
- Toward a Conceptual Multiscale Framework for Predictive Radiobiology: Integrating Genomic Damage, Network Rewiring, and Tissue Microenvironment.International journal of molecular sciences · 2026Review
- Tumor organoid platform design for drug response modeling: culture architecture, microenvironmental complexity, and AI-assisted readouts.Archives of pharmacal research · 2026Review
- Organoids as next-generation models for investigating intracranial tumours.Molecular brain · 2026Review
- The synergistic applications of organoids and exosomes in disease modeling and disease treatment.Molecular biology reports · 2026Review
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- Why in vivo models of disease remain indispensable.Disease models & mechanisms · 2026Article
- [Biobanking in internal medicine : Structures, opportunities and cultural responsibility].Innere Medizin (Heidelberg, Germany) · 2026Article
- Glioblastoma-natural killer cell crosstalk: insights from dynamic spheroid models reveal the importance of secreted cytokines and the CD155 axis.Cell communication and signaling : CCS · 2026Article
- Article
- Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AI.bioRxiv : the preprint server for biology · 2026Article
- Cisplatin resistance in oral squamous cell carcinoma: mechanisms, reversal strategies, and emerging technologies.Frontiers in physiology · 2026Review
- Plying potency assays for immunotherapy of solid tumors.Frontiers in immunology · 2026Review
- Recent advances in preclinical studies combining hyperthermia therapy with novel immune checkpoint targeting agents.Frontiers in immunology · 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
4 authors.
Funding
Abstract
Organoid models are powerful tools for evaluating cancer immunotherapy that provide a more accurate representation of the tumour microenvironment (TME) and immune responses than traditional models. This review focuses on the latest advancements in organoid technologies, including immune cell co-culture, 3D bioprinting, and microfluidic systems, which enhance the modelling of TME and facilitate the assessment of immune therapies such as immune checkpoint inhibitors (ICIs), CAR-T therapies, and oncolytic viruses. Although these models have great potential in personalised cancer treatment, challenges persist in immune cell diversity, long-term culture stability, and reproducibility. Future developments integrating artificial intelligence (AI), multi-omics, and high-throughput platforms are expected to improve the predictive power of organoid models and accelerate the clinical translation of immunotherapy.
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.