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Updated: Feb 6, 2026

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Intratibial Osteosarcoma Cell Injection to Generate Orthotopic Osteosarcoma and Lung Metastasis Mouse Models
Published on: October 28, 2021
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Osteoblastoma-like osteosarcoma: high-grade or low-grade osteosarcoma?
Marco Gambarotti1, Angelo P Dei Tos1,2,3, Daniel Vanel1
1Department of Pathology, IRCCS Rizzoli Orthopaedic Institute, Bologna, Italy.
Histopathology
|August 29, 2018
Summary
Osteoblastoma-like osteosarcoma is a rare bone cancer. The presence of high-grade osteosarcoma areas predicts its aggressiveness, guiding treatment decisions for this rare tumor.
Area of Science:
- Orthopedic Oncology
- Skeletal Pathology
- Tumor Histopathology
Background:
- Osteoblastoma-like osteosarcoma (OB-OS) is a rare osteosarcoma variant (1% of osteosarcomas).
- Histologically similar to benign osteoblastoma, OB-OS is classified as high-grade by the World Health Organization (WHO).
- Distinguishing low-grade from high-grade OB-OS is challenging due to lack of strict morphological criteria.
Purpose of the Study:
- To review a series of OB-OS cases.
- To identify clinical and morphological features predicting tumor aggressiveness.
- To aid in differentiating potentially low-grade from high-grade malignant lesions.
Main Methods:
- Retrospective review of 15 OB-OS cases from the Istituto Ortopedico Rizzoli.
- Analysis of patient treatments, outcomes, and histopathological features.
- Statistical analysis to identify predictors of disease-free survival.
Main Results:
- Five patients developed metastasis; five experienced local recurrences, all post-incomplete surgery.
- Eleven patients survived disease-free; four succumbed to the disease.
- A statistically significant association (P=0.048) was found between areas of conventional high-grade osteosarcoma and lower disease-free survival.
Conclusions:
- The presence of conventional high-grade osteosarcoma areas is the sole identified predictor of OB-OS aggressiveness.
- This finding is crucial for risk stratification and treatment planning in OB-OS.
- Further studies with larger cohorts are needed to validate these findings.
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