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Related Experiment Video

Updated: Sep 22, 2025

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma
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Development of a Risk Score Model for Osteosarcoma Based on DNA Methylation-Driven Differentially Expressed Genes.

Yuxiang Kang1,2, Guowang Li2, Guohua Wang2

  • 1Department of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin, China.

Journal of Oncology
|May 23, 2022
PubMed
Summary

Abnormal DNA methylation in osteosarcoma (OS) is linked to patient survival. Three key genes (COL13A1, MXI1, TBRG1) were identified as potential biomarkers for predicting osteosarcoma outcomes.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Osteosarcoma (OS) is a prevalent bone cancer in adolescents, associated with poor prognosis including metastasis and treatment resistance.
  • Understanding the molecular mechanisms, particularly epigenetic alterations like DNA methylation, is crucial for improving OS patient outcomes.

Purpose of the Study:

  • To investigate the association between aberrant DNA methylation patterns and differentially expressed genes in osteosarcoma.
  • To identify novel methylation-driven genes that can predict survival rates in osteosarcoma patients.

Main Methods:

  • Utilized GEO datasets (GSE36002, GSE12865) for identifying differentially methylated genes.
  • Performed functional and pathway enrichment analyses, constructed protein-protein interaction networks, and used TCGA TARGET-OS data for Cox regression analyses.
  • Applied univariate and LASSO Cox regression to identify key risk genes for osteosarcoma.

Main Results:

  • Identified 1191 hypermethylation-downregulated genes and 127 hypomethylation-upregulated genes involved in various cellular processes and cancer pathways.
  • Univariate Cox analysis revealed 638 significant genes, leading to 54 aberrant methylation-driven genes via LASSO Cox regression.
  • A risk score model was constructed using three methylation-regulated genes: COL13A1, MXI1, and TBRG1, demonstrating a correlation with osteosarcoma patient outcomes.

Conclusions:

  • DNA methylation-driven genes, specifically COL13A1, MXI1, and TBRG1, are significantly associated with osteosarcoma patient survival.
  • These findings offer new insights into the pathological mechanisms of osteosarcoma and suggest potential therapeutic targets.