2021
Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer
Moutafi MK, Tao W, Huang R, Haberberger J, Alexander B, Ramkissoon S, Ross JS, Syrigos K, Wei W, Pusztai L, Rimm DL, Vathiotis IA. Comparison of programmed death-ligand 1 protein expression between primary and metastatic lesions in patients with lung cancer. Journal For ImmunoTherapy Of Cancer 2021, 9: e002230. PMID: 33833050, PMCID: PMC8039214, DOI: 10.1136/jitc-2020-002230.Peer-Reviewed Original ResearchConceptsPD-L1 expressionMetastatic lesionsLung cancer casesLung cancerCancer casesAdvanced stage non-small cell lung cancerNon-small cell lung cancerNon-squamous histologyCell lung cancerFuture patient managementDefinite diagnostic testSquamous histologyFoundation MedicineLymph nodesRoutine careHistologic subtypeMetastatic sitesPrimary lesionRetrospective studyAdrenal glandPrimary tumorPleural fluidPatient managementTrial designDrug Administration
2020
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study
Lu C, Bera K, Wang X, Prasanna P, Xu J, Janowczyk A, Beig N, Yang M, Fu P, Lewis J, Choi H, Schmid RA, Berezowska S, Schalper K, Rimm D, Velcheti V, Madabhushi A. A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. The Lancet Digital Health 2020, 2: e594-e606. PMID: 33163952, PMCID: PMC7646741, DOI: 10.1016/s2589-7500(20)30225-9.Peer-Reviewed Original ResearchConceptsNon-small cell lung carcinomaEarly-stage non-small cell lung carcinomaOverall survivalRetrospective studyEarly-stage non-small cell lung cancerNon-small cell lung cancerMultivariable Cox regression analysisCell differentiation pathwayCox proportional hazards modelLung squamous cell carcinomaEarly-stage LUADOverall survival informationCox regression analysisPrognosis of patientsCell lung cancerRisk stratification modelSquamous cell carcinomaLung cancer pathogenesisIndependent validation cohortCell lung carcinomaProportional hazards modelComputer-extracted featuresAdjuvant therapyDifferentiation pathwayValidation cohort
2013
High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer
Liu M, Mor G, Cheng H, Xiang X, Hui P, Rutherford T, Yin G, Rimm DL, Holmberg J, Alvero A, Silasi DA. High Frequency of Putative Ovarian Cancer Stem Cells With CD44/CK19 Coexpression Is Associated With Decreased Progression-Free Intervals In Patients With Recurrent Epithelial Ovarian Cancer. Reproductive Sciences 2013, 20: 605-615. PMID: 23171677, PMCID: PMC3635069, DOI: 10.1177/1933719112461183.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorCarcinoma, Ovarian EpithelialDisease ProgressionDisease-Free SurvivalDrug Resistance, NeoplasmFemaleHumansHyaluronan ReceptorsKaplan-Meier EstimateKeratin-19Middle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsProportional Hazards ModelsRetrospective StudiesRisk FactorsTime FactorsTreatment OutcomeConceptsPutative ovarian cancer stem cellsOvarian cancer stem cellsProgression-free intervalCancer stem cellsRecurrent epithelial ovarian cancerShorter disease-free intervalShorter progression-free intervalDisease-free intervalResidual tumor volumeEpithelial ovarian cancerLog-rank testEpithelial ovarian cancer cellsIndependent significant predictorsAdvanced stage EOCOvarian cancer cellsStem cellsMean followObstetrics stageUnivariable analysisClinicopathologic featuresMultivariable analysisRetrospective studyPrognostic valueOvarian cancerTumor volume
2012
Measurement of Aldehyde Dehydrogenase 1 Expression Defines a Group with Better Prognosis in Patients with Non-Small Cell Lung Cancer
Dimou A, Neumeister V, Agarwal S, Anagnostou V, Syrigos K, Rimm DL. Measurement of Aldehyde Dehydrogenase 1 Expression Defines a Group with Better Prognosis in Patients with Non-Small Cell Lung Cancer. American Journal Of Pathology 2012, 181: 1436-1442. PMID: 22877687, DOI: 10.1016/j.ajpath.2012.06.037.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerAldehyde dehydrogenase 1Cell lung cancerALDH1 expressionBetter prognosisLung cancerBreast cancerYale cohortQuantitative immunofluorescenceAldehyde dehydrogenase 1 (ALDH1) expressionPatras University HospitalSquamous cell carcinomaCancer stem cellsClinicopathologic factorsPoor outcomePrognostic valueRetrospective studyShorter survivalCell carcinomaUniversity HospitalSurrogate biomarkerFavorable outcomeLarge cohortTissue microarrayPatients
2003
Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis.
Dolled-Filhart M, Camp RL, Kowalski DP, Smith BL, Rimm DL. Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis. Clinical Cancer Research 2003, 9: 594-600. PMID: 12576423.Peer-Reviewed Original ResearchMeSH KeywordsAcute-Phase ProteinsBiomarkersBreast NeoplasmsCell NucleusDNA-Binding ProteinsFemaleHumansImmunohistochemistryLymphatic MetastasisMultivariate AnalysisPhosphorylationPhosphotyrosinePrognosisProportional Hazards ModelsSTAT3 Transcription FactorSurvival AnalysisTime FactorsTrans-ActivatorsConceptsNode-negative breast cancerBreast cancerCytoplasmic expressionNuclear expressionOverall survivalReceptor stainingPrognostic markerPhospho-STAT3Breast cancer tissue microarrayEstrogen receptor stainingProgesterone receptor stainingNode-negative tumorsLarge retrospective studyIndependent prognostic markerBreast cancer specimensTissue microarray analysisCancer tissue microarrayShort-term survivalTranscription 3Breast cancer tumorsHER2 stainingBetter prognosisRetrospective studyRole of STAT3Signal transducer
2000
The utility of Ki-ras mutation analysis in the cytologic diagnosis of pancreatobiliary neoplasma.
Dillon DA, Johnson CC, Topazian MD, Tallini G, Rimm DL, Costa JC. The utility of Ki-ras mutation analysis in the cytologic diagnosis of pancreatobiliary neoplasma. The Cancer Journal 2000, 6: 294-301. PMID: 11079168.Peer-Reviewed Original ResearchConceptsFine needle aspiratesBile duct brushingsCytologic diagnosisPositive predictive valueCommon bile duct brushingsDuct brushingsPancreatobiliary carcinomaPredictive valueMutation patternsBiliary tract carcinomaPrevious retrospective studyAvailable clinical informationConsecutive clinical specimensDefinitive cytologic diagnosisPolymerase chain reaction/single-strand conformation polymorphism analysisRoutine cytologic diagnosisPositive cytologyRetrospective studySuspicious morphologyCytologic evaluationSuspicious cytologyPancreatobiliary tractClinical informationMorphologic diagnosisNeoplastic cells
1997
Degree of dysplasia following diagnosis of atypical squamous cells of undetermined significance is influenced by patient history and type of follow‐up
Ghoussoub R, Rimm D. Degree of dysplasia following diagnosis of atypical squamous cells of undetermined significance is influenced by patient history and type of follow‐up. Diagnostic Cytopathology 1997, 17: 14-19. PMID: 9218897, DOI: 10.1002/(sici)1097-0339(199707)17:1<14::aid-dc3>3.0.co;2-p.Peer-Reviewed Original ResearchConceptsHigh-grade lesionsAtypical squamous cellsSelection of patientsGrade lesionsSquamous cellsUndetermined significanceDiagnosis of ASCUSSignificant past historyDegree of dysplasiaBethesda System criteriaASCUS diagnosisRetrospective studySignificant lesionsPatient historyVaginal smearsBiopsyCurrent literature findingsPatientsLesions