Clinicopathological study of adrenal pheochromocytoma and extra-adrenal paragangliomas with reference to GAPP and PASS scoring systems
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View abstract on PubMed
Summary
This summary is machine-generated.The Grading of Adrenal Pheochromocytoma and Paraganglioma (GAPP) and Pheochromocytoma of Adrenal Gland Scaled Score (PASS) effectively identify tumors with low metastatic potential. Adding SDHB immunohistochemistry may improve the accuracy of these predictive scoring systems for pheochromocytoma and paraganglioma.
Area Of Science
- Endocrinology
- Oncology
- Pathology
Background
- Metastasis in pheochromocytoma (PH) and paraganglioma (PGL) significantly impacts survival.
- Predicting malignant potential is crucial for patient prognosis.
- Existing histological algorithms, Pheochromocytoma of Adrenal Gland Scaled Score (PASS) and Grading of Adrenal Pheochromocytoma and Paraganglioma (GAPP) score, require validation.
Purpose Of The Study
- To validate the association of GAPP and PASS scores with disease outcomes in PH and PGL.
- To assess the strength of association between individual GAPP/PASS parameters and prognosis.
- To evaluate the potential improvement of SDHB immunohistochemistry in predicting prognosis.
Main Methods
- Prospective study of 22 pheochromocytomas and 8 paragangliomas.
- Calculation of GAPP scores for paragangliomas and both GAPP/PASS scores for pheochromocytomas.
- Correlation of GAPP/PASS risk stratification with disease outcomes and SDHB immunohistochemistry in 15 cases.
Main Results
- Common PASS malignancy indicators include high cellularity, tumor cell spindling, and adipose tissue extension.
- Both PASS and GAPP scores demonstrated high sensitivity and negative predictive value, but low specificity and positive predictive value.
- GAPP score exhibited higher specificity than PASS score.
Conclusions
- GAPP and PASS scores effectively differentiate tumors with low metastatic risk from those with higher risk.
- The specificity of GAPP was found to be superior to PASS.
- Incorporating objective markers like SDHB immunohistochemistry could enhance the specificity of current predictive scoring systems.
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