Organ-on-a-Chip for Cancer and Immune Organs Modeling
Open accessAbstract
Bridging the gap between findings in preclinical 2D cell culture models and in vivo tissue cultures has been challenging; the simple microenvironment of 2D monolayer culture systems may not capture the cellular response to drugs accurately. Three‐dimensional organotypic models have gained increasing interest due to their ability to recreate precise cellular organizations. These models facilitate investigation of the interactions between different sub‐tissue level components through providing physiologically relevant microenvironments for cells in vitro. The incorporation of human‐sourced tissues into these models further enables personalized prediction of drug responses. Integration of microfluidic units into the 3D models can be used to control their local environment, dynamic simulation of cell behaviors, and real‐time readout of drug testing data. Cancer and immune system related diseases are severe burdens to our health care system and have created an urgent need for high‐throughput, and effective drug development plans. This review focuses on recent progress in the development of “cancer‐on‐a‐chip” and “immune organs‐on‐a‐chip” systems designed to study disease progression and predict drug‐induced responses. Future challenges and opportunities are also discussed.
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Tumor-on-chip models hold promise as a cost-effective and higher-throughput resource for screening anticancer drugs.
“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [15]
The Cancer-on-a-chip section says these models recreate tumor microenvironments and improve preclinical assessment of drug efficacy; the Conclusions call them promising tools for drug testing. The Introduction identifies reducing drug-development costs as a goal, and the Conclusions discuss interest in high-throughput cancer–immune models, but neither establishes that tumor-on-chip models offer cost-effective, higher-throughput anticancer-drug screening. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTumor-on-chip systems are expected to increase the effective identification of new and better cancer therapies while minimizing non-specific toxicity.
“These tumor-on-chip systems are expected to increase the effective identification of new and better cancer therapies while minimizing non-specific toxicity [13,14,15,16,17].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [15]
The Cancer-on-a-chip section says these systems improve preclinical assessment of drug efficacy and describes a platform that monitored both anticancer efficacy and cardiac toxicity. The Conclusions and future perspectives section calls them promising tools for drug testing, but does not say they minimize non-specific toxicity; it also cautions that most remain early-stage prototypes. The copy provides no page numbers for these passages. (LLM, conf=0.83)
Experimental — accuracy not yet measuredTumor-on-chip models can recreate human tumor microenvironments.
“Tumor-on-chip models based on these organ-on-chip systems can recreate human tumor microenvironments and now hold great promise as a new resource for cost-effective and higher-throughput screening of anticancer drugs [13,14,15,16,17] and powerful enablers of precision medicine [18].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [15]
Multiorgan-on-a-chip systems were developed to evaluate the efficacy and off-target toxicity of anticancer therapeutics.
“To solve this problem, researchers developed multiorgan-on-a-chip systems to evaluate the efficacy and off-target toxicity of anticancer therapeutics.”
From Tumor-on-a-chip: from bioinspired design to biomedical application (2021) · cites this paper as [102]
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- Authors
- Sun, W., Luo, Z., Lee, J., Kim, H., Lee, K., Tebon, P., Feng, Y., Dokmeci, M. R., Sengupta, S., & Khademhosseini, A.
- Affiliations
- California NanoSystems Institute (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Sengupta, Shiladitya
- Khademhosseini, Ali
- ORCID
- Venue
- Advanced Healthcare Materials
- Publisher
- Wiley
- Published
- 2019-01-03
- Volume
- 8
- Issue
- 4
- Pages
- e1801363-e1801363
- ISSN
- 2192-2640 (ISSN-L)
- 2192-2659
- PMC
- PMC6424124
- OpenAlex
- W2907304027
- Cited by
- 221
- References
- 122
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 59 · 2023: 40 · 2022: 23 · 2021: 30 · 2020: 28 · 2019: 13
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-08-08)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Advanced Healthcare Materials (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1U01CA214411‐01A1, 1R01GM126571‐01)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- organ-on-a-chip, microfluidics, drug response prediction, personalized drug testing, anticancer drug development, immune system diseases, disease progression modeling, in vitro tissue models
- MeSH terms
- Neoplasms, Organoids, Models, Immunological, Cell Culture Techniques, Tissue Engineering, Lab-On-A-Chip Devices, Tumor Microenvironment
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