Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor
Authors' conclusion
We identified and validated an 8-gene panel predictive of the metastatic phenotype in PNETs, which can be detected using the clinically available NanoString nCounter® system. This panel should be studied prospectively to determine its utility in guiding operative vs nonoperative management.
Study context
- Population
- Surgically resected primary pancreatic neuroendocrine tumors (PNETs) (localized vs metastatic), international cohort; validation on independent formalin-fixed, paraffin-embedded samples29 validation samples
- Participants
- 95 participants
- Outcome
- Classification of metastatic status
Methodological detailsmachine learning, international cohort, independent validation cohort
- Machine learning
- International cohort
- Independent validation cohort
Performance
As reported in the abstract
| Test or model | Sensitivity | Specificity |
|---|---|---|
| 8-gene panel | 87.5-93.8% | 78.1-96.9% |
8-gene panel
Sensitivity87.5-93.8%
Specificity78.1-96.9%
Further findings
| Outcome | Values |
|---|---|
| Validation with NanoString nCounter® on independent cohort | 8-gene panel median AUC 0.886 |
Original publication
Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor. J Clin Endocrinol Metab. Published 31 May 2024. doi:10.
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