ReviewTrends in biotechnology2026
Organ-on-a-chip systems for modeling tumor and normal tissue microenvironments in radiotherapy research.
Review in Trends in biotechnology, 2026. 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.
- Development of a vascularized multi-organoid-on-a-chip to model the heart-islet axis in diabetic cardiomyopathy.Bioactive materials · 2026Article
- Organoids in Precision Radiotherapy: Methodological Foundations, Tumor-Specific Evidence, and Translational Roadmaps.Cancer medicine · 2026Review
- Article
- Engineering biomimetic tissue barrier models on chips: From design and fabrication to applications in disease modeling and drug screening.Biomaterials · 2026Review
- Tumour Microenvironment-Informed Radiotheranostics: Why and How Nuclear Medicine Could Advance Precision Oncology in the Decade Ahead.Pharmaceuticals (Basel, Switzerland) · 2026Review
- From benchside avatars to bedside breakthroughs: Patient-derived organoids in the new era of cancer immunotherapy.Translational oncology · 2026Review
- Integrating New Approach Methodologies (NAMs) into Preclinical Regulatory Evaluation of Oncology Drugs.Biomimetics (Basel, Switzerland) · 2025Review
- A lung tumor-on-a-chip model recapitulates the effect of hypoxia on radiotherapy response and FDG-PET imaging.Lab on a chip · 2025Article
- A Lung Tumor-on-a-Chip Model Recapitulates the Effect of Hypoxia on Radiotherapy Response and FDG-PET Imaging.bioRxiv : the preprint server for biology · 2025Article
- Allosteric ligand-driven smart nanoconjugates for mutation-selective EGFR targeting: A precision approach to overcoming tyrosine kinase inhibitor resistance.BioImpacts : BI · 2025Review
- Phytochemical nanoencapsulation and microfluidics drive gene and tumor microenvironment modulation.Frontiers in pharmacology · 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
3 authors.
Funding
Abstract
Radiation therapy (RT) precisely targets tumors with ionizing radiation, aiming to achieve local control while minimizing collateral damage to surrounding healthy tissues. Radiation research is often carried out in animal models, but these suffer from ethical issues, high cost of operation, low throughput, and low correlation to responses in humans. The advent of microfluidic organ-on-a-chip (OoC) technology offers a promising alternative to precisely and reproducibly model the physiology of different tissues in a laboratory setting. Furthermore, organ-on-a-chip models can be constructed from patient-specific tissues to tailor therapies while enabling fine control over relevant microenvironmental factors. In this review, we highlight emerging research at the intersection of radiation biology and microphysiological models, with a focus on the unique capabilities enabled by these advanced technologies.
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.