Comprehensive Characterization of Prognostic Long Noncoding RNAs in Osteosarcoma

Area of Science:

• Molecular Biology
• Genomics
• Oncology

Background:

• Protein-coding genes' role in osteosarcoma (OS) is well-studied.
• The function of long noncoding RNAs (lncRNAs) in OS pathogenesis, progression, and metastasis requires further investigation.

Purpose of the Study:

• To identify novel long noncoding RNAs (lncRNAs) associated with osteosarcoma (OS) prognosis.
• To explore the molecular mechanisms underlying lncRNA-driven OS progression and metastasis.

Main Methods:

• Utilized RNA-sequencing data from 82 OS samples (TARGET database).
• Applied univariable and multivariable Cox regression models to identify prognostic lncRNAs.
• Performed differential expression analysis and pathway enrichment (GO, KEGG) on identified patient groups.

Main Results:

• Identified 50 lncRNAs significantly associated with patient survival.
• Developed a 7-lncRNA signature that stratified patients into high- and low-risk groups with distinct prognoses.
• Discovered immune-related Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways critical for OS survival.
• AC011442.1 identified as a potential oncogenic driver regulating AMPK and hedgehog signaling pathways.

Conclusions:

• Novel prognostic lncRNAs in OS have been identified.
• These findings enhance understanding of lncRNAs in OS tumorigenesis and progression.
• The identified lncRNAs may serve as diagnostic markers and therapeutic targets for osteosarcoma.