P=N/A, N=500, Recruiting, Icahn School of Medicine at Mount Sinai | Trial completion date: Sep 2035 --> Jun 2035 | Trial primary completion date: Sep 2030 --> Jun 2030
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Trial completion date • Trial primary completion date
POSTN expression is associated with tumor progression by regulating AKT/mTOR signaling, which further leads to apoptosis and autophagy. POSTN may also be considered a valuable target for therapeutic strategies in PTC.
The Bethesda system provides high diagnostic accuracy for definitive cytological categories in pediatric thyroid nodules. Even indeterminate categories carry elevated malignancy risk, supporting careful surgical consideration and the value of BRAF V600E testing for preoperative risk stratification.
CSDE1 promotes PTC progression through the Wnt/β-catenin pathway under the regulation of METTL3-mediated m⁶A modification, serving as a promising prognostic biomarker and therapeutic target.
Exploratory analysis in a limited TERT cohort (8 mutated vs 103 wild-type) identified prospective radiomics patterns associated with TERT promoter mutations, suggesting potential surrogate imaging biomarkers that warrant further investigation. Micro-CT radiomics shows promise as a complementary tool for diagnostic classification in thyroid cancer and offers a platform for quantitative 3D tissue characterization pending broader validation.
Co-expression network analysis highlighted disrupted transcriptional coordination in tumors. This work establishes a multidimensional epigenetic framework for PTC with combinatorial diagnostic signatures and condition-specific associations between DNA modifications and driver mutations (BRAF vs. RAS).
The calibration of the nomogram was good, showing no significant deviation (χ2=4.43, P=0.816). The nomogram based on the multivariate logistic regression model incorporating multimodal ultrasound features combined with PS-Tg demonstrates high diagnostic value in differentiating benign and malignant thyroid nodules.
ML models that incorporate spectral CT 3D parameters and clinical features offer a promising approach for preoperative prediction of mETE in PTMC. Following external validation in multicenter cohorts, these models may serve as adjunctive tools to inform clinical decision-making and risk stratification.