Related Experiment Video
Updated: Sep 23, 2025
02:35
Author Spotlight: Replicating Human Osteosarcoma Progression in Immunodeficient Mice for Cancer Study
Published on: March 22, 2024
1.0K
Correlation between Patient-Derived Xenograft Modeling and Prognosis in Osteosarcoma
Mengxiong Sun1, Zongyi Wang1, Wei Sun1
1Department of Orthopaedics, Shanghai General Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China.
Orthopaedic Surgery
|May 11, 2022
Summary
Successful patient-derived xenograft (PDX) modeling in osteosarcoma correlates with poorer prognosis, including lower survival rates and increased lung metastasis risk. This predictive power aids in developing targeted therapeutic strategies for osteosarcoma patients.
Area of Science:
- Oncology
- Translational Medicine
- Cancer Modeling
Background:
- Osteosarcoma patient-derived xenograft (PDX) models are crucial for preclinical research.
- Understanding factors influencing PDX modeling success and its prognostic implications is vital.
Purpose of the Study:
- To retrospectively analyze the relationship between PDX modeling success in osteosarcoma and patient prognosis.
- To investigate the correlation between PDX modeling and the incidence of lung metastasis.
Main Methods:
- Retrospective analysis of 57 osteosarcoma patients diagnosed between 2015-2017.
- Comparison of PDX modeling success rates between chemotherapy-treated and non-chemotherapy groups.
- Evaluation of 3-year overall survival, disease-free survival (DFS), and lung metastasis rates in relation to PDX model success.
Main Results:
- PDX modeling success was significantly lower in patients who received chemotherapy (17.4% vs. 47.1%).
- Successful PDX modeling was associated with significantly lower 3-year overall survival (49.23% vs. 65.71%) and DFS (29.54% vs. 50.34%).
- Higher incidence of lung metastasis was observed in patients with successful PDX models (32.4% vs. 13.1%).
Conclusions:
- PDX modeling success in osteosarcoma is a strong indicator of poor prognosis.
- Successful PDX models predict lower survival rates and a higher risk of lung metastasis.
- PDX modeling can serve as a valuable tool for predicting patient outcomes and guiding therapeutic strategies.
