2023
Proteomic-based stratification of intermediate-risk prostate cancer patients
Zhong Q, Sun R, Aref A, Noor Z, Anees A, Zhu Y, Lucas N, Poulos R, Lyu M, Zhu T, Chen G, Wang Y, Ding X, Rutishauser D, Rupp N, Rueschoff J, Poyet C, Hermanns T, Fankhauser C, Martínez M, Shao W, Buljan M, Neumann J, Beyer A, Hains P, Reddel R, Robinson P, Aebersold R, Guo T, Wild P. Proteomic-based stratification of intermediate-risk prostate cancer patients. Life Science Alliance 2023, 7: e202302146. PMID: 38052461, PMCID: PMC10698198, DOI: 10.26508/lsa.202302146.Peer-Reviewed Original ResearchConceptsGleason grade groupBiochemical recurrenceRisk of biochemical recurrenceIntermediate-risk patientsNon-aggressive diseaseProstate cancer managementProstate cancer patientsMultivariate Cox regressionHigh-risk groupPatient treatment decisionsProstatic adenocarcinomaGleason gradePrognostic indicatorMatched tumorCancer managementCox regressionCancer patientsGrade groupTreatment decisionsPatientsSurvival analysisRisk scoreClinical applicationGleasonProstate
2020
Convergent network effects along the axis of gene expression during prostate cancer progression
Charmpi K, Guo T, Zhong Q, Wagner U, Sun R, Toussaint N, Fritz C, Yuan C, Chen H, Rupp N, Christiansen A, Rutishauser D, Rüschoff J, Fankhauser C, Saba K, Poyet C, Hermanns T, Oehl K, Moore A, Beisel C, Calzone L, Martignetti L, Zhang Q, Zhu Y, Martínez M, Manica M, Haffner M, Aebersold R, Wild P, Beyer A. Convergent network effects along the axis of gene expression during prostate cancer progression. Genome Biology 2020, 21: 302. PMID: 33317623, PMCID: PMC7737297, DOI: 10.1186/s13059-020-02188-9.Peer-Reviewed Original ResearchConceptsHigh-throughput genomic measurementsProstate cancer progressionGene expressionMolecular networksCopy number alterationsCancer progressionComplex genomic alterationsTumor phenotypePrediction of recurrence-free survivalGenomic measurementsRecurrence-free survivalProstate cancer patientsProteomic alterationsGenomic aberrationsAggressive tumor phenotypeGenomic alterationsDownstream proteinsGenomic effectsNetwork-based approachProstate samplesTumor siteBiochemical stateMalignant tumorsProtein levelsTumor tissues