2013
Vascularity of primary and metastatic renal cell carcinoma specimens
Aziz SA, Sznol J, Adeniran A, Colberg JW, Camp RL, Kluger HM. Vascularity of primary and metastatic renal cell carcinoma specimens. Journal Of Translational Medicine 2013, 11: 15. PMID: 23316728, PMCID: PMC3561185, DOI: 10.1186/1479-5876-11-15.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaMicrovessel areaMetastatic samplesCell carcinomaMetastatic sitesPrimary tumorMetastatic renal cell carcinomaRenal cell carcinoma tumorsClear cell tumorsClear cell carcinomaPredictive biomarker studiesAnti-angiogenic drugsAnti-angiogenic therapyTypes of tumorsHigh response ratePrimary nephrectomyHistologic subtypeCell tumorsDifferent histologyPapillary histologyCD 34Variable histologyClinical studiesClear cellsTumor vascularity
2012
c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma
Gibney GT, Aziz SA, Camp RL, Conrad P, Schwartz BE, Chen CR, Kelly WK, Kluger HM. c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma. Annals Of Oncology 2012, 24: 343-349. PMID: 23022995, PMCID: PMC3551486, DOI: 10.1093/annonc/mds463.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorCarcinoma, Renal CellCell Line, TumorCell ProliferationFemaleHepatocyte Growth FactorHumansIndolesKidney NeoplasmsMaleMiddle AgedPiperazinesPrognosisProto-Oncogene Proteins c-metPyrrolidinonesQuinolinesSulfonamidesTissue Array AnalysisConceptsRenal cell carcinomaClear cell renal cell carcinomaC-Met expressionCell renal cell carcinomaHigh c-Met expressionAdjacent normal renal tissuesNormal renal tissueARQ 197Cell carcinomaRenal tissueRCC tumorsTissue microarrayWorse disease-specific survivalC-MetClear cell RCC cell linesC-Met protein expressionCell linesPoor pathologic featuresCell subset analysisDisease-specific survivalPapillary renal cell carcinomaRange of malignanciesC-Met pathwayC-Met inhibitionPotential therapeutic targetCD70 expression patterns in renal cell carcinoma
Jilaveanu LB, Sznol J, Aziz SA, Duchen D, Kluger HM, Camp RL. CD70 expression patterns in renal cell carcinoma. Human Pathology 2012, 43: 1394-1399. PMID: 22401771, PMCID: PMC3374042, DOI: 10.1016/j.humpath.2011.10.014.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaCell carcinomaCD70 expressionPapillary tumorsHigh CD70 expressionExpression of CD70Clear cell tumorsNovel therapeutic agentsRenal cell carcinoma specimensPathologic variablesHistologic subtypePrognostic valueCell subsetsCell tumorsUnivariate analysisClinical trialsImmune escapeSitu protein expressionT lymphocytesClear cellsTissue microarrayCarcinoma specimensCD70Immunohistochemistry-based methodMultivariate analysisMulti-Level Targeting of the Phosphatidylinositol-3-Kinase Pathway in Non-Small Cell Lung Cancer Cells
Zito CR, Jilaveanu LB, Anagnostou V, Rimm D, Bepler G, Maira SM, Hackl W, Camp R, Kluger HM, Chao HH. Multi-Level Targeting of the Phosphatidylinositol-3-Kinase Pathway in Non-Small Cell Lung Cancer Cells. PLOS ONE 2012, 7: e31331. PMID: 22355357, PMCID: PMC3280285, DOI: 10.1371/journal.pone.0031331.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdultAgedAged, 80 and overAntineoplastic AgentsBlotting, WesternCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCell Line, TumorCell ProliferationClass Ia Phosphatidylinositol 3-KinaseDrug SynergismFemaleFluorescent Antibody TechniqueHumansImmunoenzyme TechniquesLung NeoplasmsMaleMiddle AgedPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSignal TransductionTissue Array AnalysisTOR Serine-Threonine KinasesConceptsNon-small cell lung cancerNSCLC cell linesDual PI3K/mTOR inhibitorPI3K/AKT/mTOR pathwayPI3K/mTOR inhibitorAKT/mTOR pathwayPI3K inhibitorsNVP-BEZ235MTOR inhibitorsNVP-BKM120MTOR expressionAdvanced stageCell linesMTOR pathwayPI3K subunitsNon-small cell lung cancer cellsK inhibitorsCell lung cancer cellsCell lung cancerSquamous cell carcinomaP85 expressionSynergistic growth inhibitionRegulation of pAktExpression of p85Lung cancer cells
2011
Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer
Chagpar AB, Camp RL, Rimm DL. Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer. Annals Of Surgical Oncology 2011, 18: 3143. PMID: 21847696, DOI: 10.1245/s10434-011-2012-9.Peer-Reviewed Original ResearchConceptsNode-positive breast cancer patientsDifferent OS ratesOverall survivalBreast cancer patientsOS independentClinicopathologic factorsOS ratesCancer patientsBreast cancer staging systemCurrent American Joint CommitteeLymph node ratioAdditional prognostic informationAmerican Joint CommitteeCancer (AJCC) staging systemTraditional clinicopathologic factorsPN statusIntermediate riskNodal statusStaging systemPrognostic informationBreast cancerHigh riskLower riskJoint CommitteeNode ratioQuantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables
Bai Y, Tolles J, Cheng H, Siddiqui S, Gopinath A, Pectasides E, Camp RL, Rimm DL, Molinaro AM. Quantitative assessment shows loss of antigenic epitopes as a function of pre-analytic variables. Laboratory Investigation 2011, 91: 1253-1261. PMID: 21519325, PMCID: PMC3145004, DOI: 10.1038/labinvest.2011.75.Peer-Reviewed Original ResearchConceptsCore needle biopsyCold ischemic timePre-analytic variablesNeedle biopsyEstrogen receptorIschemic timeTumor resectionTumor resection specimensAntigenic lossResection specimensTissue biomarkersTotal AktBiopsyPhospho-AktQuantitative immunofluorescencePhospho-ERKPhospho-S6K1Antigenic epitopesTotal ERKResectionTotal proteinCytokeratinImmunological methodsAntigenicitySignificant changesEvaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts
Baquero MT, Lostritto K, Gustavson MD, Bassi KA, Appia F, Camp RL, Molinaro AM, Harris LN, Rimm DL. Evaluation of prognostic and predictive value of microtubule associated protein tau in two independent cohorts. Breast Cancer Research 2011, 13: r85. PMID: 21888627, PMCID: PMC3262195, DOI: 10.1186/bcr2937.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCohort StudiesCyclophosphamideCytoplasmDocetaxelDoxorubicinEpithelial CellsFemaleFluorouracilHumansKaplan-Meier EstimateMiddle AgedPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRetrospective StudiesSurvival RateTau ProteinsTaxoidsConceptsOverall survivalBreast cancer cohortTreatment armsPredictive markerCancer cohortPredictive valueResponse rateConventional whole tissue sectionsMAP-tauImproved overall survivalHigh expressionMicrotubule associated protein tauTaxane-based chemotherapyKaplan-Meier analysisLonger median timeUseful predictive markerCox univariate analysisIndependent breast cancer cohortsWhole tissue sectionsFAC chemotherapyLonger TTPMedian timeMeier analysisPrognostic valueClinicopathologic variables
2010
In Situ Identification of Putative Cancer Stem Cells by Multiplexing ALDH1, CD44, and Cytokeratin Identifies Breast Cancer Patients with Poor Prognosis
Neumeister V, Agarwal S, Bordeaux J, Camp RL, Rimm DL. In Situ Identification of Putative Cancer Stem Cells by Multiplexing ALDH1, CD44, and Cytokeratin Identifies Breast Cancer Patients with Poor Prognosis. American Journal Of Pathology 2010, 176: 2131-2138. PMID: 20228222, PMCID: PMC2861079, DOI: 10.2353/ajpath.2010.090712.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAldehyde DehydrogenaseAldehyde Dehydrogenase 1 FamilyBreast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansHyaluronan ReceptorsIsoenzymesKeratinsMiddle AgedNeoplastic Stem CellsPrognosisRetinal DehydrogenaseRetrospective StudiesConceptsCancer stem cellsPutative cancer stem cellsBreast cancerIdentifies high-risk patientsPresence of CSCsNode-positive patientsHigh-risk patientsBreast cancer patientsAggressive tumor behaviorParaffin-embedded breast cancer tissuesBreast cancer tissuesFlow cytometric studyStem cellsMean followNodal statusRisk patientsTumor persistenceCD44 positivityPoor prognosisPrognostic valueTumor sizeHistological gradeALDH1 positivityCancer patientsWorse outcomes
2009
C-Raf Is Associated with Disease Progression and Cell Proliferation in a Subset of Melanomas
Jilaveanu LB, Zito CR, Aziz SA, Conrad PJ, Schmitz JC, Sznol M, Camp RL, Rimm DL, Kluger HM. C-Raf Is Associated with Disease Progression and Cell Proliferation in a Subset of Melanomas. Clinical Cancer Research 2009, 15: 5704-5713. PMID: 19737955, PMCID: PMC2763114, DOI: 10.1158/1078-0432.ccr-09-0198.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBenzenesulfonatesCell Line, TumorCell ProliferationCell SurvivalCohort StudiesDisease ProgressionFemaleGene SilencingHumansIndolesMaleMelanomaMiddle AgedNevusNiacinamidePhenolsPhenylurea CompoundsProtein Kinase InhibitorsProto-Oncogene Proteins c-rafPyridinesRNA, Small InterferingSensitivity and SpecificitySkin NeoplasmsSorafenibYoung AdultConceptsExtracellular signal-regulated kinaseC-RafC-Raf expressionSubset of melanomasPhospho-c-RafSignal-regulated kinaseCell linesProtein kinase inhibitionMitogen-activated protein kinase inhibitionDecreased viabilityDecreased Bcl-2 expressionProtein kinaseCell signalingBcl-2 inhibitionRaf kinaseB-RafMelanoma cell linesPhospho-MEKSpecific siRNAsSitu protein expressionGW5074Major isoformsKinasePhospho-ERKBcl-2 expressionGrowth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer
Nadler Y, González AM, Camp RL, Rimm DL, Kluger HM, Kluger Y. Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer. Annals Of Oncology 2009, 21: 466-473. PMID: 19717535, PMCID: PMC2826097, DOI: 10.1093/annonc/mdp346.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBlotting, WesternBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularFemaleFluorescent Antibody TechniqueFollow-Up StudiesGRB7 Adaptor ProteinHumansImage Processing, Computer-AssistedMiddle AgedPrognosisReceptor, ErbB-2Survival RateTissue Array AnalysisTumor Cells, CulturedYoung AdultConceptsHER2/neuBreast cancerPrognostic markerHER2/neu-positive breast cancerGRB7 expressionHigh HER2/neuNeu-positive breast cancerHER2/neu overexpressionPrimary breast cancerBreast cancer patientsIndependent prognostic markerNode-positive subsetValuable prognostic markerProtein 7Cy5-conjugated antibodiesMultivariable analysisWorse prognosisEntire cohortCancer patientsNeu overexpressionTissue microarrayTherapeutic targetCancerNeuPatients
2008
High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer
Ghosh S, Sullivan CA, Zerkowski MP, Molinaro AM, Rimm DL, Camp RL, Chung GG. High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer. Human Pathology 2008, 39: 1835-1843. PMID: 18715621, PMCID: PMC2632946, DOI: 10.1016/j.humpath.2008.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularConnecticutFemaleFluorescent Antibody Technique, IndirectHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesKaplan-Meier EstimateMiddle AgedNeuropilin-1Receptors, Vascular Endothelial Growth FactorSurvival RateTissue Array AnalysisVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2Young AdultConceptsVascular endothelial growth factorEndothelial growth factorBreast cancerVEGFR-1Growth factorNeuropilin-1VEGFR-2Kaplan-Meier survival analysisBreast cancer tissue microarrayVascular endothelial growth factor receptorPrimary breast cancerStandard prognostic factorsEndothelial growth factor receptorPrimary breast adenocarcinomaCancer tissue microarrayTumor-specific expressionGrowth factor receptorPrognostic factorsPrognostic significancePrognostic valueWorse outcomesLarge cohortTissue microarraySurvival analysisSignificant associationExpression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer
Nadler Y, Camp RL, Schwartz C, Rimm DL, Kluger HM, Kluger Y. Expression of Aurora A (but Not Aurora B) Is Predictive of Survival in Breast Cancer. Clinical Cancer Research 2008, 14: 4455-4462. PMID: 18628459, PMCID: PMC5849429, DOI: 10.1158/1078-0432.ccr-07-5268.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAurora Kinase BAurora KinasesBiomarkers, TumorBlotting, WesternBreast NeoplasmsCell Line, TumorFemaleHistory, 17th CenturyHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimatePrognosisProtein Serine-Threonine KinasesTissue Array AnalysisConceptsBreast cancerB expressionAurora B expressionBreast tumorsHigh AuroraEarly-stage breast cancerHER-2/neuProgesterone receptor expressionSubset of patientsPopulation of patientsIndependent prognostic markerHigh nuclear gradePrimary breast tumorsCy5-conjugated antibodiesPathologic variablesPrognostic roleMultivariable analysisProspective studyNuclear gradePrognostic markerReceptor expressionClinical developmentPatientsPredictive roleCancerClassification of renal cell carcinoma based on expression of VEGF and VEGF receptors in both tumor cells and endothelial cells
Kluger HM, Siddiqui SF, Angeletti C, Sznol M, Kelly WK, Molinaro AM, Camp RL. Classification of renal cell carcinoma based on expression of VEGF and VEGF receptors in both tumor cells and endothelial cells. Laboratory Investigation 2008, 88: 962-972. PMID: 18626467, DOI: 10.1038/labinvest.2008.65.Peer-Reviewed Original Research
2007
Quantitative Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome
Moeder CB, Giltnane JM, Harigopal M, Molinaro A, Robinson A, Gelmon K, Huntsman D, Camp RL, Rimm DL. Quantitative Justification of the Change From 10% to 30% for Human Epidermal Growth Factor Receptor 2 Scoring in the American Society of Clinical Oncology/College of American Pathologists Guidelines: Tumor Heterogeneity in Breast Cancer and Its Implications for Tissue Microarray–Based Assessment of Outcome. Journal Of Clinical Oncology 2007, 25: 5418-5425. PMID: 18048824, DOI: 10.1200/jco.2007.12.8033.Peer-Reviewed Original ResearchThe X-linked inhibitor of apoptosis protein (XIAP) is up-regulated in metastatic melanoma, and XIAP cleavage by Phenoxodiol is associated with Carboplatin sensitization
Kluger HM, McCarthy MM, Alvero AB, Sznol M, Ariyan S, Camp RL, Rimm DL, Mor G. The X-linked inhibitor of apoptosis protein (XIAP) is up-regulated in metastatic melanoma, and XIAP cleavage by Phenoxodiol is associated with Carboplatin sensitization. Journal Of Translational Medicine 2007, 5: 6. PMID: 17257402, PMCID: PMC1796544, DOI: 10.1186/1479-5876-5-6.Peer-Reviewed Original ResearchConceptsMetastatic melanomaXIAP expressionCell linesCy5-conjugated antibodiesMechanism of actionMelanoma cell linesPrimary lesionOvarian cancerTherapeutic approachesTissue microarrayDisease aggressionCarboplatin sensitivityChemotherapy resistanceMalignant progressionClinical specimensBenign counterpartsCarboplatinMelanomaChemotherapy sensitizationPrimary specimensPhenoxodiolResistant cellsMelanoma cellsHigh expressionMelanoma resistanceQuantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome
Zerkowski MP, Camp RL, Burtness BA, Rimm DL, Chung GG. Quantitative Analysis of Breast Cancer Tissue Microarrays Shows High Cox-2 Expression Is Associated with Poor Outcome. Cancer Investigation 2007, 25: 19-26. PMID: 17364553, DOI: 10.1080/07357900601128825.Peer-Reviewed Original ResearchConceptsCOX-2 expressionCOX-2Tissue microarrayBreast cancerEstrogen receptorPrognostic factorsWorse survivalProgesterone receptorX-tileOptimal cutpointHigh COX-2 expressionBreast cancer tissue microarrayX-tile analysisSignificant prognostic factorsPrimary breast cancerCOX-2 inhibitorsCancer tissue microarrayHER2/neuClinicopathologic factorsNodal statusPoor outcomePoor prognosisTumor sizePredictive biomarkersClinical trials
2006
Genetic Differentiation of Appendiceal Tumor Malignancy
Modlin IM, Kidd M, Latich I, Zikusoka MN, Eick GN, Mane SM, Camp RL. Genetic Differentiation of Appendiceal Tumor Malignancy. Annals Of Surgery 2006, 244: 52-60. PMID: 16794389, PMCID: PMC1570599, DOI: 10.1097/01.sla.0000217617.06782.d5.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdolescentAdultAgedAged, 80 and overAntigens, NeoplasmApoptosis Regulatory ProteinsAppendiceal NeoplasmsAppendicitisBiomarkers, TumorCarcinoid TumorCell Cycle ProteinsChildChromogranin AChromograninsDiagnosis, DifferentialFemaleGene ExpressionGenetic MarkersHistone DeacetylasesHumansImmunohistochemistryMaleMiddle AgedNLR ProteinsNuclear ProteinsNucleosome Assembly Protein 1Repressor ProteinsReverse Transcriptase Polymerase Chain ReactionTrans-ActivatorsConceptsAppropriate surgical managementAppendiceal carcinoidsAppendiceal tumorsSurgical managementMAGE-D2Malignant appendiceal tumorsAppendiceal adenocarcinoidAdenocarcinoid tumorCarcinoid tumorsHistologic evidenceIncidental lesionsColorectal cancerPathologic criteriaQ-RT-PCRAppendiceal tissueGene expressionNormal mucosaTumor potentialCarcinoidsTumor behaviorAppendicitisAdenocarcinoidMorphologic assessmentTumor typesTumor malignancyVascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray
Chung GG, Yoon HH, Zerkowski MP, Ghosh S, Thomas L, Harigopal M, Charette LA, Salem RR, Camp RL, Rimm DL, Burtness BA. Vascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray. Cancer 2006, 106: 1677-1684. PMID: 16532435, DOI: 10.1002/cncr.21783.Peer-Reviewed Original ResearchConceptsPancreatic cancer tissue microarrayCancer tissue microarrayTissue microarrayVEGF receptor 1Flt-1Receptor 1Kaplan-Meier survival curvesVascular endothelial growth factor (VEGF) expressionIndependent prognostic factorVascular endothelial growth factorFlk-1Growth factor expressionEndothelial growth factorPrimary antibodyFlt-1 expressionOverall survivalPrognostic factorsWorse survivalAggressive diseaseDisease stagePoor prognosisTumor expressionPancreatic cancerPancreatic adenocarcinomaPrincipal receptor
2005
Automated Quantitative Analysis (AQUA) of In Situ Protein Expression, Antibody Concentration, and Prognosis
McCabe A, Dolled-Filhart M, Camp RL, Rimm DL. Automated Quantitative Analysis (AQUA) of In Situ Protein Expression, Antibody Concentration, and Prognosis. Journal Of The National Cancer Institute 2005, 97: 1808-1815. PMID: 16368942, DOI: 10.1093/jnci/dji427.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntibodies, NeoplasmBiomarkers, TumorCell Line, TumorConfidence IntervalsEnzyme-Linked Immunosorbent AssayFemaleFluorescent Antibody TechniqueGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMiddle AgedNeoplasmsOdds RatioPredictive Value of TestsPrognosisProtein Array AnalysisReceptor, ErbB-2Receptors, EstrogenSurvival AnalysisTreatment OutcomeTumor Suppressor Protein p53ConceptsDisease-specific mortalityHigh HER2 expressionHER2 expressionAntibody concentrationsHigh expressionPoor survivalRelative riskTissue microarrayCumulative disease-specific survivalBiomarker expressionLong-term survival dataLow expressionHER2 antibodyX-tile programDisease-specific survivalLow HER2 expressionKaplan-Meier methodBreast cancer patientsExpression of HER2Higher antibody concentrationsLow antibody concentrationsConcentration of antibodyCancer patientsPatient outcomesSitu protein expressionSubcellular 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