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Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
Published on: April 12, 2019
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Constructing a ferroptosis-related prognostic model for osteosarcoma based on scRNA-seq dataset and WGCNA analysis
Hong-Chi Yi1, Qing-Zhong Wei2, Ji-Ming Gan2
1Department of Orthopaedics, First Clinical Medical College, Yunnan University of Chinese Medicine Kunming 650021, Yunnan, China.
International Journal of Clinical and Experimental Pathology
|August 15, 2025
Summary
This study identifies four key ferroptosis-related genes (IFNG, HMOX1, CDKN1A, LGMN) that significantly impact osteosarcoma patient prognosis and immune cell interactions, offering potential therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Osteosarcoma (OS) is a primary malignant bone tumor.
- Ferroptosis, a regulated cell death pathway, is implicated in osteosarcoma progression.
Purpose of the Study:
- To investigate the mechanism of ferroptosis-related genes in osteosarcoma progression.
- To identify key ferroptosis-related genes influencing osteosarcoma patient prognosis.
Main Methods:
- Differential gene expression analysis using scRNA-seq data from osteosarcoma.
- Weighted Gene Co-expression Network Analysis (WGCNA) to identify ferroptosis-related genes.
- Prognostic model construction using univariate Cox and LASSO regression, followed by immune infiltration analysis.
Main Results:
- Identified 12 key ferroptosis-related genes, with four (IFNG, HMOX1, CDKN1A, LGMN) significantly associated with osteosarcoma prognosis.
- Developed a stable prognostic model predicting patient survival.
- Found correlations between prognostic genes and immune cell types, with differential immune checkpoint gene expression.
Conclusions:
- The four identified genes (IFNG, HMOX1, CDKN1A, LGMN) are closely linked to osteosarcoma patient prognosis.
- These genes represent potential therapeutic targets for osteosarcoma treatment.
