Endocrine Abstracts

Angioinvasion in papillary thyroid cancer (PTC) is a crucial determinant of patient prognosis. 3-Nitrotyrosine (3-NT) is a byproduct resulting from the interaction between nitric oxide and tyrosine, serving as a discernible marker indicative of oxidative stress. Within the context of PTC, oxidative stress plays a pivotal role in carcinogenic processes, particularly concerning angioinvasion. Patients with elevated levels of oxidative stress are correlated with an unfavorable clinical prognosis. Oxidative stress is intricately linked to the modulation of molecular pathways governing tumor progression, influencing the invasive potential of PTC. Hence, the quantitative assessment of 3-NT holds promise as a prognostic indicator for angioinvasion, providing valuable insights for the clinical management of PTC patients. This study aims to elucidate the potential of 3-NT quantification as a discerning marker of oxidative stress for stratifying patients at risk of angioinvasion in PTC. For the purpose of this study, 80 patients diagnosed with PTC participated in the study, with 55 exhibiting angioinvasion and 25 without. 3-NT levels were assessed using the enzyme-linked immunosorbent assay (ELISA). Robust statistical analyses, incorporating logistic regression, assessed the correlation between 3-NT levels and angioinvasion. Receiver Operating Characteristic (ROC) curves were meticulously constructed, unveiling Area Under the Curve (AUC) values. Significant differences in 3-NT levels were observed between patients with PTC with and without angioinvasion. Elevated concentrations of 3-NT were identified in the angioinvasion group, indicating a potential association between the angioinvasion process and elevated oxidative stress (P<0.001). The validation of these findings, particularly through logistic regression analysis with an odds ratio of 1.16 (P=0.0006), and ROC curves with an AUC of 0.963 (P<0.0001), carries substantial clinical implications. The quantification of 3-NT levels emerges as a promising tool for identifying a high-risk cohort of patients with angioinvasion in PTC. This approach facilitates personalized therapeutic strategies, potentially improving prognoses for individuals affected by PTC.