Cícero Santos Souza, Jefferson Paixão Cardoso, Amanda Pacheco Aguiar, Marina Mascarenhas Santa Rosa Macêdo, Juliana da Silva Oliveira
Work-related musculoskeletal disorders among schoolteachers
Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
tnfrsf9 molecule pivotal thyroid carcinoma thca development study utilizes pathomics techniques predict tnfrsf9 expression thca tissue explore molecular mechanisms transcriptome data pathology images clinical information cancer genome atlas tcga analyzed image segmentation feature extraction performed using otsus algorithm pyradiomics package dataset split training validation features selected using maximum relevance minimum redundancy recursive feature elimination mrmrrfe modeling conducted gradient boosting machine gbm algorithm model evaluation included receiver operating characteristic curve roc analysis pathomics model output probabilistic pathomics score ps gene expression prediction prognostic value assessed tnfrsf9 expression groups subsequent analysis involved gene set variation analysis gsva immune gene expression cell abundance immunotherapy susceptibility gene mutation analysis high tnfrsf9 expression correlated worsened progressionfree interval pfi acted independent risk factor hazard ratio hr 2178 95 confidence interval ci 10454538 p 0038 nine pathohistological features identified gbm pathomics model demonstrated good prediction efficacy area curve auc 0819 0769 clinical benefits high ps pfi risk factor hr 2156 95 ci 10474440 p 0037 patients high ps potentially exhibited enriched pathways increased tigit gene expression tregs infiltration p 00001 higher rates gene mutations braf ttn tg gbm pathomics model constructed based pathohistological features hestained sections well predicted expression level tnfrsf9 molecules thca