Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning - PubMed
4 hours ago
- #Graves' disease
- #thyroid carcinoma
- #immune biomarkers
- Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers are underexplored.
- 21 shared immune-related genes were identified using GEO and TCGA databases via differential expression analysis and WGCNA.
- GO and KEGG pathway enrichment analyses highlighted immune pathways.
- LASSO regression selected five core genes (TREM1, S100A11, MRPS16, MET, ACTN1) for diagnostic models.
- CIBERSORT algorithm showed correlation between models and immune infiltration in THCA.
- Machine learning and PPI networks identified TREM1 as a central gene for immunotherapy response prediction.
- TREM1 knockdown suppressed thyroid cancer cell proliferation in xenograft models.
- Drug sensitivity studies suggested VER-155008 as a potential therapeutic compound.
- HOTTIP/hsa-miR-204-3p/TREM1 axis was validated as a ceRNA regulating TREM1.
- Five core genes, especially TREM1, show strong diagnostic potential for GD and THCA.