In-depth proteomic signature of parathyroid carcinoma
Authors' conclusion
We identified key proteins differentially expressed between PC and PA using proteomic analyses of parathyroid neoplasms. These findings may help to diagnose PC accurately and elucidate potential therapeutic targets.
Study context
- Population
- Parathyroid carcinoma and adenoma tissues from 6 tertiary hospitals in South Korea; mean age 52 years, 63% women
- Participants
- 23 vs 15
- Exposure
- Parathyroid carcinoma vs parathyroid adenoma tissue
- Parathyroid carcinoma (PC)n = 23
- Parathyroid adenoma (PA)n = 15reference
- Outcome
- Protein signature discriminating PC from PA
Methodological detailsmulticentre, proteomic analysis (LC-MS/MS) of formalin-fixed paraffin-embedded samples
- Multicentre
- Proteomic analysis (LC-MS/MS) of formalin-fixed paraffin-embedded samples
Main finding
As reported in the abstract
Differentially expressed proteins (P < .05, fold change >1.5)
304
AUC of 5-protein set (CA4, ABHD14B, LAMB2, CD44, ORM1) in neural network model for discriminating PC from PA
0.991
Observational data: associations, not effects.
Further findings
Nuclear percentage of CA4 on immunohistochemistry · significantly lower in PC
P < 0.001
Nuclear percentage of LAMB2 on immunohistochemistry · significantly lower in PC
P < 0.001
Enriched canonical pathways in PC
- Most enriched canonical pathways in PC: glycoprotein-6 signaling and mammalian target of rapamycin (mTOR)
Original publication
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