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Updated: Jul 30, 2025

Establishing 3-Dimensional Spheroids from Patient-Derived Tumor Samples and Evaluating their Sensitivity to Drugs
Published on: December 16, 2022
3D-Autologous Culture Method for Precision Oncology
Qian Xu1, Meiling Yan2, Yao Tang3
1Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Department of Pathology, Shantou University Medical College, Shantou, China.
The 3D-autologous culture method (3D-ACM) cultivates patient tumor cells in a 3D scaffold using their own body fluids. This technique preserves the native biological properties of tumors for in vitro study.
Area of Science:
- Oncology
- Biotechnology
- Cell Biology
Background:
- Standard cell culture methods often fail to preserve the native microenvironment and biological properties of patient-derived tumors.
- In vitro models are crucial for understanding tumor biology and developing personalized cancer therapies.
Purpose of the Study:
- To describe the detailed procedures for the 3D-autologous culture method (3D-ACM) for patient-derived cancer samples.
- To enable in vitro proliferation of tumor cells and/or tissues while preserving their native biological properties.
Main Methods:
- The 3D-autologous culture method (3D-ACM) utilizes a patient's own body fluid or serum.
- A 3D scaffold and culture medium are prepared from the patient's biological fluids.
- The method is applied to two models: cells from malignant effusions and solid tumor tissues.
Main Results:
- The 3D-ACM allows for the proliferation of patient-derived tumor cells and tissues in vitro.
- The method creates a microenvironment that closely mimics the original in vivo surroundings of the tumor.
- Preservation of native biological properties of the tumor in culture is maximized.
Conclusions:
- The 3D-autologous culture method (3D-ACM) provides a robust platform for studying patient-derived tumors in a physiologically relevant in vitro setting.
- Detailed procedures for applying 3D-ACM to both liquid and solid tumor samples are presented.
- This technique holds promise for advancing personalized cancer research and treatment strategies.
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