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
2002
Automated subcellular localization and quantification of protein expression in tissue microarrays
Camp RL, Chung GG, Rimm DL. Automated subcellular localization and quantification of protein expression in tissue microarrays. Nature Medicine 2002, 8: 1323-1328. PMID: 12389040, DOI: 10.1038/nm791.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBeta CateninCell CompartmentationCytoskeletal ProteinsNeoplasmsProteinsSubcellular FractionsTrans-ActivatorsConceptsSub-cellular localization