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Updated: Sep 10, 2025
Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
Published on: April 12, 2019
Identification of endothelial INSR as an osteosarcoma-related biomarker and therapeutic target based on weighted gene
Xu Yingkai1, Jiang Jianfeng1, Hu Zhiyong2
1Department of Orthopedics, Haian Traditional Chinese Medicine Hospital, Nantong, 226600, Jiangsu Province, China.
Background:
Osteosarcoma (OS) is the most common primary malignant bone tumor characterized by a high rate of metastasis. The clinical efficacy of current targeted drugs for OS is limited, highlighting the urgent need to identify novel therapeutic targets. The study aimed to identify potential drug targets for OS by combining weighted gene co-expression network analysis (WGCNA) with single-cell analysis.
Methods:
OS-related genes were obtained from the osteosarcoma database, and prognosis-related genes were identified using The Cancer Genome Atlas (TCGA) data. Gene expression profiles and corresponding clinical data were extracted from TCGA, Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases. Univariate and multivariate Cox analyses were used to screen the genes associated with OS prognosis. WGCNA was applied to detect genes linked to clinical characteristics in OS patients. Differentially expressed genes (DEGs) were analyzed using the GEO dataset. Single-cell RNA sequencing (scRNA-seq) data were employed to assess the expression pattern of the crucial genes in different types of cells in the tumor microenvironment.
Results:
A total of 911 OS-related genes were retrieved from the osteosarcoma database. Prognosis analysis identified 110 prognosis-associated genes (P < 0.05). WGCNA revealed 295 genes related to OS clinical characteristics within the turquoise module. DEG analysis across GEO datasets (GSE12865, GSE16088, and GSE14359) identified 220 DEGs (|log2 (FC)| >1 and P < 0.05). Integration of these analyses identified 16 key genes in OS. Based on the expression profiles of these genes, OS patients were classified into three distinct clusters that exhibited significant differences in survival time, immune scores, and T-cell CD4 memory resting levels (P < 0.05). Insulin receptor (INSR) was identified as an independent risk factor predominantly expressed in endothelial cells.
Conclusion:
INSR expression in OS tissues is associated with poor clinical outcomes. Activation or dysregulation of endothelial INSR contributes to OS progression, suggesting that endothelial INSR may represent a novel therapeutic target for OS.
Insights
Novel therapeutic targets for osteosarcoma (OS) were identified by integrating weighted gene co-expression network analysis (WGCNA) and single-cell sequencing. Insulin receptor (INSR) emerged as a key driver of OS progression, suggesting its potential as a new drug target.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Osteosarcoma (OS) is a primary malignant bone tumor with high metastatic potential.
- Current targeted therapies for OS have limited clinical efficacy, necessitating new therapeutic strategies.
- Identifying novel drug targets is crucial for improving OS patient outcomes.
Purpose of the Study:
- To identify potential therapeutic targets for osteosarcoma (OS).
- To combine weighted gene co-expression network analysis (WGCNA) with single-cell analysis to uncover key genes in OS.
- To investigate the role of identified genes in OS progression and patient prognosis.
Main Methods:
- Utilized osteosarcoma and The Cancer Genome Atlas (TCGA) databases for gene identification.
- Performed univariate and multivariate Cox analyses to screen prognosis-associated genes.
- Applied WGCNA and differential gene expression (DEG) analysis on GEO datasets.
- Employed single-cell RNA sequencing (scRNA-seq) to analyze gene expression in the tumor microenvironment.
Main Results:
- Identified 16 key genes in OS through integrated analysis.
- Classified OS patients into three clusters with significant differences in survival and immune profiles.
- Insulin receptor (INSR) was identified as an independent risk factor, highly expressed in endothelial cells.
Conclusions:
- INSR expression in OS tissues correlates with poor clinical outcomes.
- Endothelial INSR dysregulation contributes to OS progression.
- Endothelial INSR represents a promising novel therapeutic target for osteosarcoma.
