Shruthi Venkataraman, Hadar Hazan, Fangyong Li, Maria Ferrara, Annie Harper, Jessica Ma, Jai Shah, Christie Musket, Nina Levine, Matcheri S Keshavan, Vinod Srihari
Role of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis
Psychiatric services (Washington, D.C.)
breast cancer bc common cancer among women globally shown numerous studies significantly involve nonapoptotic regulatory cell death rcd pathogenesis progression obtained rna sequences clinical data bc patients cancer genome atlas tcga database training set datasets gse96058 gse86166 gse20685 gene expression omnibus geo database utilized validation cohorts initially performed nonnegative matrix factorization nmf clustering analysis bc samples tcga database discern nonapoptotic rcdrelated molecular subtypes identify prognosticallyrelevant nonapoptotic rcd genes nrgs construct prognostic model implemented three machine learning algorithms lasso regression random forest xgboost analysis expression selected genes verified using realtime quantitative polymerase chain reaction rtqpcr singlecell rnasequencing scrnaseq analysis human protein atlas hpa database risk signature evaluated concerning clinical characteristics drug sensitivity furthermore developed nomogram predict bc patient survival nmf method successfully compartmentalized patients tcga database three distinct nonapoptotic rcdrelated subtypes significant variations observed immune characteristics prognostic stratification across subtypes identified 5 differentially expressed nrgs used establishing risk signature patients different risk groups exhibited distinct clinicopathological features drug sensitivity prognostic outcomes nomogram subsequently developed incorporating nrgsrelated risk signature age stage n stage aid clinical decisionmaking identified novel nrgsrelated risk signature expected become potential prognostic marker bc