Applications of tumor chip technology
Open accessAbstract
By surpassing the predictive accuracy of conventional 2D cell culture models, tumor chips can reduce reliance on animal models in line with the 3Rs initiative and eliminate false positive selection of ineffective or toxic drugs earlier in the drug development pipeline, saving time and resources. Most importantly, better predictability of human drug response will reduce human risk and improve patient outcomes.
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Tumor chips incorporate cell line-derived or patient-derived cancer cells, spheroids or cancer organoids embedded in a 3D matrix, allowing the precise recapitulation of spatial aspects of in vivo tumor architecture.
“These chips incorporate cell line-derived or patient-derived cancer cells, spheroids or cancer organoids embedded in a 3D matrix, allowing the precise recapitulation of spatial aspects of in vivo tumor architecture (Hachey and Hughes, 2018).”
From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Hachey and Hughes, 2018
The Tumor Chips section describes cancer cell lines mixed with stromal cells and ECM on-chip, and the Personalized Medicine Applications section discusses patient-derived cells and integration of organoids. The paper says tumor chips can reproduce specific key aspects of complex tumor structure, but it does not establish the claim’s stronger assertion that these components precisely recapitulate the spatial architecture of in vivo tumors. No page numbers are available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredResults of animal experiments cannot directly verify the toxicity and side effects of drugs in humans due to species differences.
“One major reason for these issues is that the results of animal experiments cannot directly verify the toxicity and side effects of drugs in humans due to species differences12,13.”
From Tumor-on-a-chip: from bioinspired design to biomedical application (2021) · cites this paper as [13]
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“These chips incorporate cell line-derived or patient-derived cancer cells, spheroids or cancer organoids embedded in a 3D matrix, allowing the precise recapitulation of spatial aspects of in vivo tumor architecture (Hachey and Hughes, 2018).”
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Methods for processing and analyzing images of vascularized micro-organ and tumor systems
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- Authors
- Hachey, S. J., & Hughes, C. C. W.
- Affiliations
- University of California, Irvine (US)
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 18
- Issue
- 19
- Pages
- 2893-2912
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- PMC
- PMC6207449
- OpenAlex
- W2886940906
- Cited by
- 128
- References
- 184
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 21 · 2023: 18 · 2022: 17 · 2021: 20 · 2020: 17 · 2019: 12 · 2018: 1
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Lab on a Chip (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Foundation for the National Institutes of Health (R01-PDQ5-CA180122, UH3 TR000481)
- 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
- tumor-on-a-chip, microphysiological systems, 3D tissue engineering, anticancer drug development, anticancer drug screening
- MeSH terms
- Animals, Drug Screening Assays, Antitumor, Humans, Microchip Analytical Procedures, Lab-On-A-Chip Devices, Tumor Microenvironment
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