2021
Identifying modules of cooperating cancer drivers
Klein MI, Cannataro VL, Townsend JP, Newman S, Stern DF, Zhao H. Identifying modules of cooperating cancer drivers. Molecular Systems Biology 2021, 17: msb20209810. PMID: 33769711, PMCID: PMC7995435, DOI: 10.15252/msb.20209810.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationDatabases, GeneticDNA Copy Number VariationsGenes, NeoplasmHumansMutationNeoplasmsConceptsCancer typesNRAS-mutant melanomaCombination of alterationsMultiple cancer typesClinical outcomesNFE2L2 mutationsIndividual patientsDriver alterationsEffective personalized treatmentPathway inhibitionTherapeutic potentialCancer etiologyPersonalized treatmentTumor formationTCGA cancer typesAlterationsPatientsCancer driversEtiologyMelanomaCancer
2016
Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival – Evidence from TCGA Pan-Cancer Data
Huang X, Stern DF, Zhao H. Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival – Evidence from TCGA Pan-Cancer Data. Scientific Reports 2016, 6: 20567. PMID: 26837275, PMCID: PMC4738355, DOI: 10.1038/srep20567.Peer-Reviewed Original ResearchConceptsPatient survivalTumor cell contaminationField cancerization effectNormal samplesCancer patient survivalNormal tissue samplesSitu immunizationCancer Genome AtlasCancer patientsPatient progressionNormal controlsTumorsNormal tissuesPan-cancer dataTissue samplesGenome AtlasCancer studiesDisease etiologyCell contaminationPatientsPathway analysisTCGA pan-cancer dataSurvivalTranscriptional profilesPotential benefits