Jimena Cosso, Alexa Ellis, Connor D O'Rear, Erica L Zippert, Sara A Schmitt, David J Purpura
Conceptualizing the factor structure of parents' math anxiety and associations with children's mathematics skills
Annals of the New York Academy of Sciences
recent years mrnabased vaccines promising safety functional characteristics gained significant momentum cancer immunotherapy however stable immunological molecular subtypes lung adenocarcinoma luad novel tumor antigens luad mrna vaccine development remain elusive therefore novel approach urgently needed identify suitable luad subtypes potential tumor antigens cancer genome atlas tcga genotype tissue expression gtex gene expression omnibus geo databases utilized retrieve gene expression data luad immunological multiomics classification limoc system developed using seven machine learning ml algorithms performing integrative immunogenomic analysis singlecell bulk tissue transcriptome profiling subsequently panel approaches applied identify novel tumor antigens first limoc system construct identify three subtypes limoc1 limoc2 limoc3 second identified chit1 lilra4 mep1a novel tumor antigens luad genes upregulated amplified mutated showed positive association apc infiltration making promising candidates designing mrna vaccines notably limoc2 subtype worst prognosis could benefit mrna immunization furthermore performed comprehensive silico screening approximately 2000 compounds identified sorafenib azacitidine potential subtypespecific therapeutic agents overall study established robust limoc system identified chit1 lilra4 mep1a promising tumor antigen candidates development antiluad mrna vaccines particularly limoc2 subtype