Pilot study of plasma miRNA signature panel for differentiating single vs multiglandular parathyroid disease.

CONTEXT: The ability to differentiate sporadic primary hyperparathyroidism (sPHPT) caused by a single parathyroid adenoma (PTA) from multiglandular disease (MGD) pre-operatively, as well as definitely diagnose sPHPT in difficult patients, would enhance surgical decision making.

OBJECTIVE: Identify miRNA (miR) signatures for MGD, single- and double-PTA, as well as cell-free miRNA (cfmiR) in plasma samples from patients with single-PTAs to use as biomarkers.

DESIGN/SETTING/PATIENTS: 47 patients with sPHPT (single-PTA n=32, double-PTA n=12, MGD n=9). Pre-operative plasma samples from 16 single-PTA and 29 normal healthy donors (NHD).

INTERVENTION: All specimens were processed and analyzed for 2,083 miRs using HTG EdgeSeq miR whole transcriptome assay and normalized using DESeq2 to identify differentially expressed (DE) miRs. MiR classifiers were identified using Random Forest.

MAIN OUTCOME MEASURES: ROC curves and AUC.

RESULTS: MiR signatures distinguished normal parathyroid from MGD and PTA as well as MGD from PTA in tissue samples. Common miRs were found in the single-PTA and double-PTAs. Data integration identified a 27-miR signature in single-PTA tissue samples compared to the rest of the tissue samples. In plasma samples analysis, significant cfmiRs were DE in single-PTA patients compared to NHD. Of those, only 9 miRNAs/cfmiRs were found DE in both tissue and plasma samples from patients diagnosed with a single-PTA (AUC=76%).

CONCLUSIONS: Twenty-seven miRs were consistently found DE in single-PTA tissue and plasma samples. Data integration showed a 9-cfmiR signature with potential clinical utility to pre-operatively diagnose sPHPT caused by a single-PTA, which could decrease more invasive parathyroid explorations.