Osteosarcoma subtypes based on platelet-related genes and tumor microenvironment characteristics

Area of Science:

• Oncology
• Molecular Biology
• Immunology

Background:

• Osteosarcoma is a common pediatric cancer with high metastasis rates and poor prognosis.
• Platelets are implicated in metastasis of various cancers, but their role in osteosarcoma remains unclear.
• Understanding platelet characteristics is crucial for improving osteosarcoma patient outcomes.

Purpose of the Study:

• To explore platelet-related molecular subtypes in osteosarcoma.
• To investigate the association between platelet characteristics and tumor microenvironment (TME) cell infiltration.
• To identify prognostic biomarkers and potential therapeutic targets.

Main Methods:

• Utilized TCGA and GEO databases for osteosarcoma cohorts.
• Analyzed platelet-related gene expression to define molecular subtypes.
• Performed differential gene expression analysis and constructed a protein-protein interaction network.
• Developed a platelet scoring model using Cox regression and Lasso.
• Verified candidate gene expression via RT-PCR.

Main Results:

• Identified two distinct platelet-related subtypes (C1 and C2), with C2 exhibiting significantly worse prognosis.
• Found differences in immune response pathways between subtypes, with C2 showing suppressed immunity.
• Observed higher immune cell infiltration in the C1 subtype compared to C2.
• Developed a six-gene platelet scoring model for osteosarcoma prognosis prediction.
• Identified potential therapeutic drugs for platelet-related subtypes.

Conclusions:

• Platelet-related subtypes are significant in osteosarcoma.
• The platelet scoring model serves as a valuable biomarker for prognosis, TME infiltration, and therapy selection.
• Further research into platelet-driven mechanisms can improve osteosarcoma treatment strategies.