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ATC Biomarkers and Immune Profiles Identified by liuannie479 is a document available to read on EtoBox.

This study identifies four characteristic genes (ADM, PXDN, MMP1, and TFF3) as potential diagnostic biomarkers for anaplastic thyroid cancer (ATC) using machine learning algorithms. The research highlights the association of these biomarkers with immune cell infiltration and drug sensitivity, suggesting their role in improving ATC prognosis through targeted therapy and immunotherapy. A nomogram was developed to predict the probability of ATC based on gene expression, enhancing diagnostic accuracy in clinica

Author

liuannie479

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EN