Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality
Zhou J, pour A, Deirawan H, Daaboul F, Aung T, Beydoun R, Ahmed F, Chuang J. Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality. EBioMedicine 2023, 94: 104726. PMID: 37499603, PMCID: PMC10388166, DOI: 10.1016/j.ebiom.2023.104726.Peer-Reviewed Original ResearchConceptsModerate-risk patientsClinical variablesPatient stratificationOverall survivalAdenocarcinoma patientsTCGA-COADLow-risk patientsColorectal cancer patientsEnrollment of patientsRectal adenocarcinoma patientsRisk of mortalityColon adenocarcinoma patientsLow immune infiltrationNational Cancer InstituteMutation signaturesNumber of deathsCancer Genome AtlasColorectal cancerPathological featuresCancer patientsImmune infiltrationImproved stratificationClinical trialsPatient riskCancer InstituteSpatial characterization and quantification of CD40 expression across cancer types
Bates K, Vathiotis I, MacNeil T, Ahmed F, Aung T, Katlinskaya Y, Bhattacharya S, Psyrri A, Yea S, Parkes A, Sadraei N, Roychoudhury S, Rimm D, Gavrielatou N. Spatial characterization and quantification of CD40 expression across cancer types. BMC Cancer 2023, 23: 220. PMID: 36894898, PMCID: PMC9996913, DOI: 10.1186/s12885-023-10650-7.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaCarcinoma, Non-Small-Cell LungCD40 AntigensFemaleHumansLung NeoplasmsOvarian NeoplasmsPancreatic NeoplasmsConceptsCD40 expressionSolid tumorsTumor cellsQuantitative immunofluorescencePatient cohortPancreatic cancerCancer typesExpression of CD40Large patient cohortOvarian cancer populationTissue microarray formatDifferent solid tumorsInnate immune responseTNF receptor family membersAvailable patient cohortNSCLC populationOverall survivalPrognostic impactReceptor family membersCancer populationAdenocarcinoma populationImmune cellsOvarian cancerPancreatic adenocarcinomaPositivity rate