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Co-Culture In Vitro Systems to Reproduce the Cancer-Immunity Cycle
Nicoletta Manduca1, Ester Maccafeo1, Adele De Ninno2
1Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore.
Journal of Visualized Experiments : Jove
|June 24, 2024
Summary
This study presents a scalable protocol using multiparametric flow cytometry (mFC) and tumor-on-a-chip (ToC) devices to analyze the cancer-immunity cycle. This method aids in understanding tumor immune evasion and developing personalized cancer therapies.
Area of Science:
- Immunology
- Oncology
- Biotechnology
- Microfluidics
Background:
- Understanding the cancer-immunity cycle is crucial for developing effective cancer therapies.
- Experimental studies are needed to detail the complex interactions between cancer and immune cells.
- Current methods require optimization for speed, reliability, and scalability in analyzing this cycle.
Purpose of the Study:
- To detail a straightforward protocol for analyzing the cancer-immunity cycle using multiparametric flow cytometry (mFC) and tumor-on-a-chip (ToC) devices.
- To focus on the immunosurveillance aspect of the cancer-immunity cycle.
- To provide a scalable and adaptable method for identifying mechanisms of tumor immune evasion and potential therapeutic targets.
Main Methods:
- Development and application of a combined multiparametric flow cytometry (mFC) and tumor-on-a-chip (ToC) microfluidic device protocol.
- Utilized murine cancer cell lines and mouse-derived immune cells for in vitro co-culture systems.
- Focused on monitoring and characterizing each step of the cancer-immunity cycle, particularly immunosurveillance.
Main Results:
- The protocol enables simple, fast, and reliable monitoring and characterization of the cancer-immunity cycle.
- Successfully identified mechanisms tipping the balance between cancer immunosurveillance and immunoevasion.
- The protocol is time- and cost-effective, making it feasible for large-scale application.
Conclusions:
- The mFC- and ToC-assisted protocol provides critical insights into dynamic cancer-immune cell interplays.
- This approach accelerates the personalization and optimization of cancer therapies.
- The protocol is adaptable for human cell lines and can be combined with genetic/pharmacologic inhibition to identify immune response biomarkers.

