Widodo Widodo, Irvandi Gustari, Chandrawaty Chandrawaty
Adversity Quotient Promotes Teachers' Professional Competence More Strongly Than Emotional Intelligence: Evidence from Indonesia
Journal of Intelligence
predictive biomarkers models immune checkpoint inhibitors icis extensively studied nonsmall cell lung cancer nsclc however evidence many biomarkers remains inconclusive opaqueness machine learning models hinders practicality aimed provide compelling evidence biomarkers develop transparent decision tree model consolidated data 3288 icitreated patients nsclc across realworld multicenter public cohorts choice01 trial clinicaltrialsgov nct03856411 50 features examined predicting durable clinical benefits dcbs icis noteworthy biomarkers identified establish decision tree model additionally explored tumor microenvironment peripheral cd8 programmed death1 pd1 cell receptor tcr profiles multivariate logistic regression analysis identified tumor histology pdligand 1 pdl1 expression tumor mutational burden line regimen ici treatment significant factors mutation subtypes egfr kras keap1 stk11 disruptive tp53 mutations associated dcb decision tree dt10 model using ten clinicopathological genomic markers showed superior performance predicting dcb training set area curve auc 082 consistently outperformed models test sets dt10predicteddcb patients manifested longer survival enriched inflamed tumor immune phenotype 67 higher peripheral tcr diversity whereas dt10predictedndb nondurable benefit group showed enriched desert immune phenotype 86 higher peripheral tcr clonality model effectively predicted dcb frontsubsequentline ici treatment without chemotherapy squamous nonsquamous lung cancer offering clinicians valuable insights efficacy prediction using costeffective variables study supported national key rd program china