Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features
James M. Dolezal, Anna Trzcinska, Chih‐Yi Liao, Sara Kochanny, Elizabeth A. Blair, Nishant Agrawal, Xavier M. Keutgen, Peter Angelos, Nicole A. Cipriani, Alexander T. Pearson
Abstract
-like predicted BRS (mean -0.49), nonmutant PTC-EFG had more intermediate predicted BRS (mean -0.17), and NIFTP had RAS-like BRS (mean 0.35; P < 0.0001). In summary, histologic features associated with the BRAF-RAS gene expression spectrum are detectable by deep learning and can aid in distinguishing indolent NIFTP from PTCs.
Topics & Concepts
PathologyPapillary carcinomaThyroidFollicular phaseSignature (topology)MedicineGene expressionBiologyGeneThyroid carcinomaInternal medicineBiochemistryGeometryMathematicsThyroid Cancer Diagnosis and TreatmentCancer-related Molecular PathwaysBiomarkers in Disease Mechanisms