2023
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 Institute
2016
Identification of candidate anti-cancer molecular mechanisms of compound kushen injection using functional genomics
Qu Z, Cui J, Harata-Lee Y, Aung TN, Feng Q, Raison JM, Kortschak RD, Adelson DL. Identification of candidate anti-cancer molecular mechanisms of compound kushen injection using functional genomics. Oncotarget 2016, 7: 66003-66019. PMID: 27602759, PMCID: PMC5323210, DOI: 10.18632/oncotarget.11788.Peer-Reviewed Original ResearchConceptsCompound Kushen InjectionAnti-cancer molecular mechanismMolecular mechanismsHigh-throughput Illumina RNA-Seq technologyIllumina RNA-Seq technologyMCF-7 cellsKushen InjectionRNA-seq technologyEffect of CKITranscriptome analysis methodsLong non-coding RNAsPlant secondary metabolitesNon-coding RNAsDifferential expression analysisCell proliferationGene differential expression analysisMCF-7 human breast cancer cell lineDe novo identificationHuman breast cancer cell linesMCF-7 cell proliferationBreast cancer cell linesDose-dependent fashionAnnexin V/propidium iodideTraditional Chinese medicine preparationP53-independent mechanism