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Published on: December 28, 2021
Personalized Cancer Medicine: An Organoid Approach
Hamidreza Aboulkheyr Es1, Leila Montazeri2, Amir Reza Aref3
1Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Abstract:
Personalized cancer therapy applies specific treatments to each patient. Using personalized tumor models with similar characteristics to the original tumors may result in more accurate predictions of drug responses in patients. Tumor organoid models have several advantages over pre-existing models, including conserving the molecular and cellular composition of the original tumor. These advantages highlight the tremendous potential of tumor organoids in personalized cancer therapy, particularly preclinical drug screening and predicting patient responses to selected treatment regimens. Here, we highlight the advantages, challenges, and translational potential of tumor organoids in personalized cancer therapy and focus on gene-drug associations, drug response prediction, and treatment selection. Finally, we discuss how microfluidic technology can contribute to immunotherapy drug screening in tumor organoids.
Insights
Tumor organoids offer a personalized approach to cancer therapy by accurately modeling patient tumors. These models improve preclinical drug screening and treatment selection for better patient outcomes.
Area of Science:
- Oncology
- Translational Medicine
- Biotechnology
Background:
- Personalized cancer therapy tailors treatments to individual patients.
- Accurate prediction of drug responses is crucial for effective cancer treatment.
- Traditional models often fail to capture the complexity of individual tumors.
Purpose of the Study:
- To highlight the advantages and potential of tumor organoids in personalized cancer therapy.
- To focus on the application of organoids in gene-drug associations, drug response prediction, and treatment selection.
- To discuss the integration of microfluidic technology for enhanced immunotherapy screening.
Main Methods:
- Utilizing tumor organoid models that preserve the molecular and cellular composition of original tumors.
- Analyzing gene-drug associations within organoid models.
- Evaluating drug response prediction capabilities of organoids.
- Exploring the use of microfluidic technology for immunotherapy screening.
Main Results:
- Tumor organoids demonstrate significant advantages over pre-existing models in mimicking original tumor characteristics.
- Organoids show potential for accurate preclinical drug screening and patient response prediction.
- Integration with microfluidics can enhance immunotherapy drug screening.
Conclusions:
- Tumor organoids represent a powerful tool for advancing personalized cancer therapy.
- These models facilitate more precise drug screening and treatment selection.
- Further development, including microfluidic integration, promises to expand their clinical utility.
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