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3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
Published on: January 5, 2021
Cancer-on-chip technology: current applications in major cancer types, challenges and future prospects
Zakaria Baka1, Marie Stiefel1, Agathe Figarol1,2
1Université de Lorraine, CNRS, IJL, F-54000 Nancy, France.
Cancer-on-chip (COC) models offer advanced in vitro alternatives to traditional 2D cultures and animal testing. These microfluidic systems better mimic complex tumors, aiding anticancer drug development.
Area of Science:
- Biomedical Engineering
- Oncology
- Microfluidics
Background:
- Traditional 2D cell cultures and animal models for anticancer drug development have limitations.
- 2D cultures oversimplify complex 3D tumor structures, while animal models are costly, time-consuming, and raise ethical concerns.
- There is a critical need for more relevant and dynamic in vitro tumor models.
Purpose of the Study:
- To review the current landscape of cancer-on-chip (COC) models for various cancer types.
- To highlight the challenges and future research perspectives in COC technology.
- To discuss the potential of microfluidic-based systems in cancer research.
Main Methods:
- Review of existing literature on cancer-on-chip models.
- Discussion of microfluidic technology and organ-on-chip systems applied to cancer research.
- Categorization of COC models based on major cancer types (lung, prostate, breast, colorectal, pancreatic, ovarian).
Main Results:
- Various COC models have been developed for major cancer types, simulating key features of in vivo tumors.
- These models leverage microfluidic technology to create sophisticated microphysiological systems.
- The review covers specific applications and advancements in lung, prostate, breast, colorectal, pancreatic, and ovarian cancer models.
Conclusions:
- Cancer-on-chip technology presents a promising avenue for developing more accurate in vitro cancer models.
- Addressing current technological challenges will enhance the utility of COC systems in drug discovery and research.
- Future perspectives include further refinement of COC models for personalized medicine and complex tumor microenvironment simulation.
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