Molecular characterization of Golgi apparatus-related genes indicates prognosis and immune infiltration in osteosarcoma
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View abstract on PubMed
Summary
This summary is machine-generated.Golgi apparatus-related genes (GARGs) can stratify osteosarcoma patients into two subtypes, aiding in prognosis. A novel 3-gene signature accurately predicts osteosarcoma patient outcomes.
Area Of Science
- Molecular biology
- Cancer research
- Genomics
Background
- The Golgi apparatus (GA) is vital for cellular functions, and its dysregulation is linked to cancer.
- Mutations in GA-related genes (GARGs) are implicated in cancer metastasis.
- The role of GARGs in osteosarcoma prognosis remains unclear.
Purpose Of The Study
- To investigate the expression and prognostic significance of GARGs in osteosarcoma.
- To identify molecular subtypes of osteosarcoma based on GARGs.
- To develop a prognostic signature for osteosarcoma.
Main Methods
- Consensus clustering of GARG expression data from TARGET and GEO databases.
- Gene Set Variation Analysis (GSVA), ssGSEA, and Metascape for subtype analysis.
- Cox regression and nomogram construction for prognostic signature development.
Main Results
- Two distinct GARG subtypes were identified, with one showing improved prognosis and immune infiltration.
- A 3-gene prognostic signature was developed and validated, demonstrating independent predictive power.
- Stanniocalcin-2 (STC2) was identified as a potential osteosarcoma biomarker.
Conclusions
- Osteosarcoma patients can be classified into two GARG-defined subgroups.
- A validated GARG-based prognostic signature can accurately predict patient outcomes in osteosarcoma.
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