Marina Bazhydai, Han Ke, Hannah Thomas, Malcolm K Y Wong, Gert Westermann
Investigating the effect of synchronized movement on toddlers' word learning
Frontiers in psychology
lowgrade glioma lgg associated increased mortality owing recrudescence tendency malignant transformation therefore imperative discover novel prognostic biomarkers existing traditional prognostic biomarkers glioma including clinicopathological features imaging examinations unable meet clinical demand precision medicine accordingly aimed evaluate prognostic value cyclin d1 ccnd1 expression levels construct radiomic models predict levels patients lgg materials methods total 412 lgg cases cancer genome atlas tcga used genebased prognostic analysis using magnetic resonance imaging mri images stored cancer imaging archive genomic data tcga 149 cases selected radiomics feature extraction model construction feature extraction radiomic signature constructed using logistic regression lr support vector machine svm analyses ccnd1 identified prognosisrelated gene differential expression tumor normal samples plays role regulating cell cycle immune response landmark analysis revealed highexpression levels ccnd1 beneficial survival p 005 advanced lgg four optimal radiomics features selected construct radiomics models performance lr svm achieved areas curve 0703 0705 well 0724 0726 training validation sets respectively elevated levels ccnd1 expression could impact prognosis patients lgg mribased radiomics especially auc values serve novel tool predicting ccnd1 expression understanding correlation elevated ccnd1 expression prognosis datasets analyzed current study available tcga tcia ucsc xena gtex repository httpsportalgdccancergov httpswwwcancerimagingarchivenet httpsxenabrowsernetdatapages httpswwwgtexportalorghome