ReviewMicrosystems & nanoengineering2021
Tumor-on-a-chip: from bioinspired design to biomedical application.
Review in Microsystems & nanoengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 1 of them a synthesis 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
132 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.Journal of biomedical optics · 2025Pooled it
- Review
- Harnessing microfluidics for microbiology: from bacteria-host interactions to emerging cancer therapies.Communications biology · 2026Review
- PK-Informed Microphysiological Systems: From Dynamic Dosing to Quantitative In Vitro-In Vivo Translation.Pharmaceutics · 2026Review
- Defining Operational Limits of Low-Cost MSLA 3D Printing for Microfluidic Systems: Resin Performance, Cell Compatibility, and Fluid Dynamics.ACS omega · 2026Article
- Recapitulating In Vivo Pharmacokinetics and Size-Dependent Nanomedicine Delivery in a Microfluidic Platform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A 3D-Printed Vascular-Like Perfusion Tumor-on-a-Chip Recapitulates High-Grade Breast Cancer With in Vivo-Relevant Drug Resistance.Advanced healthcare materials · 2026Article
- Modeling cancer with bacteria-integrated tumor microenvironments using biomaterials: Emerging concepts and opportunities.Materials today. Bio · 2026Review
- Microfluidic Platforms for Modeling Cancer-Associated Thrombosis: Current Status and Future Directions.Research and practice in thrombosis and haemostasis · 2026Review
- Hydrogels in head and neck cancer: Innovations and translational advances in research and therapy.Biomaterials · 2026Review
- Human Endothelium-on-a-Chip: Development of a Microfluidic Model for Cell Viability Assessment Under Oxidative Injury.International journal of molecular sciences · 2026Article
- NIS-Centered Reporter Gene Imaging and Radionuclide-Integrated Nanoplatforms for Quantitative Tracking of Immune Cell Therapy in Oncology and Inflammatory Disease Models.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Deep Learning-Powered Scalable Cancer Organ Chip for Cancer Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ultrastructural Study of Microphysiological Systems of the Tumor Microenvironment.Small science · 2026Article
- Molecular Oncodiagnostics in Precision Oncology: Integrating Tumor Transcriptomics, Patient Pharmacogenetics, and Ex Vivo Chemoresistance Testing to Improve Individual Chemotherapy Response.Journal of personalized medicine · 2026Review
- Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation.Biosensors · 2026Review
- Living Tissues by Design: The Rise of Hybrid Models in Biofabrication.Journal of functional biomaterials · 2026Review
- Schwannomatosis tumor modeling: progress and prospects for translational research.Journal of biological engineering · 2026Review
- Organ-on-a-chip systems for modeling tumor and normal tissue microenvironments in radiotherapy research.Trends in biotechnology · 2026Review
- Convergent bioprinting and microfluidics: toward next-generation biomimetic tumor models.Hepatobiliary surgery and nutrition · 2026Article
72 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is one of the leading causes of human death, despite enormous efforts to explore cancer biology and develop anticancer therapies. The main challenges in cancer research are establishing an efficient tumor microenvironment in vitro and exploring efficient means for screening anticancer drugs to reveal the nature of cancer and develop treatments. The tumor microenvironment possesses human-specific biophysical and biochemical factors that are difficult to recapitulate in conventional in vitro planar cell models and in vivo animal models. Therefore, model limitations have hindered the translation of basic research findings to clinical applications. In this review, we introduce the recent progress in tumor-on-a-chip devices for cancer biology research, medicine assessment, and biomedical applications in detail. The emerging tumor-on-a-chip platforms integrating 3D cell culture, microfluidic technology, and tissue engineering have successfully mimicked the pivotal structural and functional characteristics of the in vivo tumor microenvironment. The recent advances in tumor-on-a-chip platforms for cancer biology studies and biomedical applications are detailed and analyzed in this review. This review should be valuable for further understanding the mechanisms of the tumor evolution process, screening anticancer drugs, and developing cancer therapies, and it addresses the challenges and potential opportunities in predicting drug screening and cancer treatment.
Indexed as
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What Socratic 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 Socratic graph.