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Updated: Aug 27, 2025
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Assessment of the Cytotoxic and Immunomodulatory Effects of Substances in Human Precision-cut Lung Slices
Published on: May 9, 2018
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Protocol to utilize fresh uncultured human lung tumor cells for personalized functional diagnostics
Sarang S Talwelkar1, Iris A K Lähdeniemi2, Mikko I Mäyränpää3
1Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland; Institute of Biomedicine and MediCity Research Laboratories, University of Turku, Turku 20520, Finland.
STAR Protocols
|September 28, 2022
Summary
This study introduces a rapid 72-hour method using fresh uncultured tumor cells (FUTCs) to test drug sensitivity in lung cancer. This approach aids in selecting personalized therapies and predicting treatment resistance effectively.
Area of Science:
- Oncology
- Translational Medicine
- Drug Discovery
Background:
- Current drug sensitivity testing for solid tumors is slow, limiting its use in personalized cancer treatment.
- Rapid assessment of drug responses is crucial for timely and effective therapeutic decisions.
Purpose of the Study:
- To develop and present a protocol for rapid ex vivo drug sensitivity testing.
- To utilize fresh uncultured tumor cells for personalized therapy selection and resistance prediction.
Main Methods:
- Isolation of EpCAM-positive epithelial cells from fresh human lung tumors.
- Ex vivo drug sensitivity assays performed on these fresh uncultured tumor cells (FUTCs).
- Testing of single and combination therapies within a 72-hour timeframe.
Main Results:
- The protocol enables drug sensitivity determination within 72 hours of sample processing.
- The FUTC-based approach successfully identifies tumor cell-selective therapies.
- This method can predict in vivo resistance to established targeted therapies.
Conclusions:
- Fresh uncultured tumor cells (FUTCs) provide a viable platform for rapid ex vivo drug sensitivity testing.
- This protocol facilitates timely personalized treatment selection for lung cancer patients.
- The FUTC approach offers a predictive tool for therapeutic resistance, improving treatment strategies.
