Abstract
Plasma chromogranin A (CgA) is the most accurate diagnostic bio-marker for neuroendocrine tumors (NETs). However, variations in the cutoff parameters for CgA detection have resulted in non-comparable data across various countries. Notably, most Chilean patients are diagnosed with stage IV NETs, suggesting that the current consensus cut-off criteria may be insufficient for detecting early-stage cases. Aim: To reassess chromogranin A for the diagnosis of endocrine neoplasms in a Chilean population. Materials and Methods: This study involved measuring CgA levels in a Chilean cohort comprising a retrospective group of patients with NETs (n = 76) and healthy subjects (n = 70), totaling 146 individuals. CgA levels were assessed at diagnosis and recruitment utilizing a competitive enzyme-linked immunosorbent assay (ELISA) with polyclonal antibodies (ED kit). Results: Patients diagnosed with NETs exhibited increased CgA levels, with those in advanced stages demonstrating even higher levels. By employing the ROC curve and determining Youden's index, we established a plasma CgA cutoff value of 89 (ng/ml), which is lower than the threshold previously used for diagnosing Chilean patients. Elevated CgA levels were associated with a more accurate diagnosis of NETs. Conclusion: Based on these findings, we propose a reassessment of the cutoff detection values to enhance the diagnosis, follow-up, and progression tracking of NETs in the Chilean population.
| Translated title of the contribution | Reevaluación del punto de corte de cromogranina a como biomarcador para tumores neuroendocrinos gastroenteropancreáticos en una cohorte chilena |
|---|---|
| Original language | English |
| Pages (from-to) | 693-703 |
| Journal | Revista Medica de Chile |
| Volume | 154 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2026 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2026, Sociedad Medica de Santiago. All rights reserved.
Keywords
- Chromogranins
- Neuroendocrine Tumors
- ROC Curve
- Sensitivity and Specificity
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