2006
Automated quantitative analysis of DCC tumor suppressor protein in ovarian cancer tissue microarray shows association with β-catenin levels and outcome in patients with epithelial ovarian cancer
Bamias A, Yu Z, Weinberger P, Markakis S, Kowalski D, Camp R, Rimm D, Dimopoulos M, Psyrri A. Automated quantitative analysis of DCC tumor suppressor protein in ovarian cancer tissue microarray shows association with β-catenin levels and outcome in patients with epithelial ovarian cancer. Annals Of Oncology 2006, 17: 1797-1802. PMID: 16971669, DOI: 10.1093/annonc/mdl310.Peer-Reviewed Original ResearchMeSH KeywordsAutomationBeta CateninCohort StudiesFemaleFluorescent Antibody TechniqueGenes, DCCHumansNeoplasms, Glandular and EpithelialOvarian NeoplasmsSurvival AnalysisTissue Array AnalysisConceptsEpithelial ovarian cancerOvarian cancerPatient outcomesDCC expressionPlatinum-paclitaxel combination chemotherapyProgression-free survival ratesAdvanced stage ovarian cancerOvarian cancer tissue microarrayAssociation of DCCCancer tissue microarrayPoor patient outcomesBeta-catenin levelsDCC tumor suppressor geneColorectal cancer (DCC) proteinMedian followSurgical debulkingCombination chemotherapyPrognostic significanceEntire cohortPreclinical dataClinicopathological parametersAntitumor functionΒ-catenin levelsTissue microarraySufficient tissueEvaluation of the Prognostic Value of Cellular Inhibitor of Apoptosis Protein in Epithelial Ovarian Cancer Using Automated Quantitative Protein Analysis
Psyrri A, Yu Z, Bamias A, Weinberger PM, Markakis S, Kowalski D, Camp RL, Rimm DL, Dimopoulos MA. Evaluation of the Prognostic Value of Cellular Inhibitor of Apoptosis Protein in Epithelial Ovarian Cancer Using Automated Quantitative Protein Analysis. Cancer Epidemiology Biomarkers & Prevention 2006, 15: 1179-1183. PMID: 16775178, DOI: 10.1158/1055-9965.epi-06-0120.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOvarian cancerPrognostic valuePaclitaxel-based combination chemotherapyOnly significant prognostic factorAdvanced stage ovarian cancerSignificant prognostic factorsOvarian cancer patientsProtein levelsImportant prognostic biomarkerMean followSurgical debulkingCombination chemotherapyOverall survivalPrognostic factorsClinical outcomesMultivariable analysisEntire cohortCancer patientsPrognostic biomarkerPrognostic variablesMembranous expressionApoptosis proteinSurvival rateCellular inhibitor
2005
Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer
Psyrri A, Bamias A, Yu Z, Weinberger PM, Kassar M, Markakis S, Kowalski D, Efstathiou E, Camp RL, Rimm DL, Dimopoulos MA. Subcellular Localization and Protein Levels of Cyclin-Dependent Kinase Inhibitor p27 Independently Predict for Survival in Epithelial Ovarian Cancer. Clinical Cancer Research 2005, 11: 8384-8390. PMID: 16322299, DOI: 10.1158/1078-0432.ccr-05-1270.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorCell DifferentiationCohort StudiesCombined Modality TherapyCyclin-Dependent Kinase Inhibitor p27Cystadenocarcinoma, SerousFemaleHumansMiddle AgedNeoplasm StagingNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisSubcellular FractionsSurvival RateTissue Array AnalysisConceptsNuclear p27 expressionOvarian cancerP27 expression levelsOverall survivalP27 expressionPlatinum-paclitaxel combination chemotherapyAdvanced stage ovarian cancerDisease-free survivalSignificant prognostic factorsStage ovarian cancerEpithelial ovarian cancerValuable prognostic biomarkerExpression levelsP27 protein expressionCyclin-dependent kinase inhibitor p27Mean followSurgical debulkingCombination chemotherapyPrognostic factorsMultivariable analysisPrognostic valueImmunohistochemical assessmentPrognostic biomarkerPrognostic variablesImmunofluorescence-based method