Vanessa Magosso Franchi, Mônica Elisabeth Simons Guerra, Beatriz Cavalcanti Albuquerque Caiuby Novaes, Mariana Lopes Favero, Sulene Pirana
Reading and comprehension: phoniatric assessment in students with reading difficulties
Brazilian journal of otorhinolaryngology
previous studies largely neglected role sulfur metabolism luad study combine iron copper sulfurmetabolism associated genes together create prognostic signatures study encompasses 1564 luad patients 1249 nsclc patients 10000 patients various cancer types diverse cohorts employed r package consensusclusterplus separate patients different icsm iron copper sulfurmetabolism subtypes various machinelearning methods utilized develop icsmi enrichment analyses conducted using clusterprofiler gsva iobr quantified immune cell infiltration gistic20 maftools utilized cnv snv data analysis oncopredict package predicted drug information based gdsc1 tide algorithm cohorts gse91061 imvigor210 evaluated patient response immunotherapy singlecell data processed using seurat package aucell package calculated cells geneset activity scores scissor algorithm identified icsmiassociated cells vitro experiments conducted explore role icsmrgs luad unsupervised clustering identified two distinct icsm subtypes luad unique clinical characteristics icsmi comprising 10 genes constructed using integrated machinelearning methods prognostic power validated 10 independent datasets revealing luad patients higher icsmi levels poorer prognoses furthermore icsmi demonstrated superior predictive abilities compared 102 previously published signatures nomogram incorporating icsmi clinical features exhibited high predictive performance icsmi positively correlated patients gene mutations integrated analysis bulk singlecell transcriptome data revealed association tme modulators cells representing highicsmi phenotype exhibited malignant features luad patients high icsmi levels exhibited sensitivity chemotherapy targeted therapy displayed resistance immunotherapy comprehensive analysis across various cancers icsmi retained significant prognostic value emerged risk factor majority cancer patients icsmi provides critical prognostic insights luad patients offering valuable insights tumor microenvironment predicting treatment responsiveness