ReviewNature reviews. Cancer2019
Modelling cancer in microfluidic human organs-on-chips.
Review in Nature reviews. Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 454 papers, 2 of them syntheses that pooled it.
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
454 citing papers in PubMed, 2 syntheses or guidelines pooled it, 841 citations in OpenAlex.
- A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine.Cellular oncology (Dordrecht, Netherlands) · 2025Pooled it
- Applications of lung cancer organoids in precision medicine: from bench to bedside.Cell communication and signaling : CCS · 2023Pooled it
- Organoids: Current Applications and Future Directions.MedComm · 2026Review
- The Translational Paradox of Cancer Nanomedicine: Biological, Pharmacokinetic, and Manufacturing Barriers to Clinical Success.Biology · 2026Review
- Emerging organoids and organoids-on-chip platforms for translational development of antibody‒drug conjugates and next-generation bioconjugates.Acta pharmaceutica Sinica. B · 2026Review
- Cisplatin-Resistant Lung Adenocarcinoma Cells Exhibit Increased Proangiogenic Capacity in a Microphysiological Model of Tumor Neovascularization.Cancer medicine · 2026Article
- Screening of anti-metastasis drugs by targeting angiopellosis and cancer cluster extravasation.Science advances · 2026Article
- Functional Vascularization in Tumor Organoid and Tumor-on-Chip Models: Evidence Requirements for Attributing Therapy-Resistance Mechanisms.Bioengineering (Basel, Switzerland) · 2026Review
- Organoids-on-a-Chip: An Integrating New Technology for Drug Development.International journal of molecular sciences · 2026Review
- Three-dimensional spheroid models in breast cancer: tumor microenvironment complexity, cancer stem cell-driven resistance, and translational model integration.Journal of translational medicine · 2026Review
- Experimental Models and Nanotechnology-Based Platforms in Oral Squamous Cell Carcinoma: From Tumor Biology to Translational Applications.Pharmaceutics · 2026Review
- Multidimensional Cellular Micro-Compartments to Model Invasive Lobular Carcinoma Dormancy.Advanced healthcare materials · 2026Article
- Next-generation models for lymphoid malignancies: the rise of 3D culture systems in translational hematology.British journal of cancer · 2026Review
- Tumor Microenvironment-on-a-Chip: Construction and Application in Traditional Chinese Medicine Anti-Tumor Therapy.Biosensors · 2026Review
- Advances in improving cancer immunotherapy with nanotechnology: from smart nanoparticles to synergistic combination strategies.Molecular cancer · 2026Review
- The Application of 3D Cell Culture in Thyroid Cancer.Annals of biomedical engineering · 2026Review
- Self-assembly of tumor-related vascularized colorectal tumoroid-on-a-chip for precision medicine drug testing.Cell reports. Medicine · 2026Article
- Deconstructing cancer in 3D: models, mechanisms, and personalized solutions.Molecular cancer · 2026Review
- Hyperpolarised magnetic resonance spectroscopy with lab-on-a-chip disease models.Disease models & mechanisms · 2026Review
- Organoids, organ-on-a-chip, and microtumors: Biomimetic 3D tumor models advancing drug development and precision medicine.Acta pharmaceutica Sinica. B · 2026Review
394 more citing papers are in PubMed but not listed here.
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the problems that has slowed the development and approval of new anticancer therapies is the lack of preclinical models that can be used to identify key molecular, cellular and biophysical features of human cancer progression. This is because most in vitro cancer models fail to faithfully recapitulate the local tissue and organ microenvironment in which tumours form, which substantially contributes to the complex pathophysiology of the disease. More complex in vitro cancer models have been developed, including transwell cell cultures, spheroids and organoids grown within flexible extracellular matrix gels, which better mimic normal and cancerous tissue development than cells maintained on conventional 2D substrates. But these models still lack the tissue-tissue interfaces, organ-level structures, fluid flows and mechanical cues that cells experience within living organs, and furthermore, it is difficult to collect samples from the different tissue microcompartments. In this Review, we outline how recent developments in microfluidic cell culture technology have led to the generation of human organs-on-chips (also known as organ chips) that are now being used to model cancer cell behaviour within human-relevant tissue and organ microenvironments in vitro. Organ chips enable experimentalists to vary local cellular, molecular, chemical and biophysical parameters in a controlled manner, both individually and in precise combinations, while analysing how they contribute to human cancer formation and progression and responses to therapy. We also discuss the challenges that must be overcome to ensure that organ chip models meet the needs of cancer researchers, drug developers and clinicians interested in personalized medicine.
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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.