LncRNA-Associated ceRNA Network Revealing the Potential Regulatory Roles of Ferroptosis and Immune Infiltration in Osteosarcoma as well as Construction of the Prognostic Model

  • 0Third People\'s Hospital of Hangzhou Department of Oncology Hangzhou China.

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Summary

This summary is machine-generated.

This study identifies ferroptosis-related long non-coding RNAs (lncRNAs) and constructs a prognostic model for osteosarcoma (OS). The findings offer new insights into OS pathological mechanisms and potential targeted therapy development.

Area Of Science

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background

  • Osteosarcoma (OS) is a prevalent primary bone cancer.
  • Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in ferroptosis and OS progression.

Purpose Of The Study

  • Identify ferroptosis-related lncRNAs (frlncRNAs) in OS.
  • Explore potential competing endogenous RNA (ceRNA) networks.
  • Develop a novel prognostic model for OS.

Main Methods

  • Data mining from TCGA, GEO, UCSC, and FerrDB databases.
  • Construction of a lncRNA-miRNA-mRNA ceRNA network.
  • Cox analysis for prognosis-related DEFRlncRNAs and prognostic model development.
  • Immune cell infiltration analysis using CIBERSORT.
  • GO and KEGG enrichment analyses.

Main Results

  • Identified 247 differentially expressed FRlncRNAs (DEFRlncRNAs).
  • Constructed a ceRNA network with 37 lncRNAs, 84 miRNAs, and 865 mRNAs.
  • Developed a prognostic model using 8 prognosis-related DEFRlncRNAs, identifying metastasis and risk score as key factors.
  • Revealed distinct immune cell infiltration patterns in OS, with elevated macrophages and T cells.

Conclusions

  • Established a ferroptosis-related lncRNA-miRNA-mRNA regulatory network in OS.
  • Developed a novel prognostic model for OS based on ferroptosis-related lncRNAs.
  • Highlighted the association between the prognostic model and immune infiltration, offering insights for targeted therapy.