2012
Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches.
Christiansen J, Bartlett J, Gustavson M, Rimm D, Robson T, Van De Velde C, Hasenburg A, Kieback D, Putter H, Markopoulos C, Dirix L, Seynaeve C, Rea D. Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches. Journal Of Clinical Oncology 2012, 30: 517-517. DOI: 10.1200/jco.2012.30.15_suppl.517.Peer-Reviewed Original ResearchEarly breast cancerBreast cancerDAB IHCHazard ratioDisease recurrenceCox proportional hazard modelingKaplan-Meier survival analysisCox proportional hazards modelC-index calculationClinical prognostic factorsProportional hazard modelingProportional hazards modelResidual riskHormone therapyIndependent predictorsPrognostic factorsPrediction of riskRisk markersClinical utilityHazards modelRecurrence riskRecurrencePathology studiesSurvival analysisMultivariate analysis
1998
Expression of c‐met is a strong independent prognostic factor in breast carcinoma
Ghoussoub R, Dillon D, D'Aquila T, Rimm E, Fearon E, Rimm D. Expression of c‐met is a strong independent prognostic factor in breast carcinoma. Cancer 1998, 82: 1513-1520. PMID: 9554529, DOI: 10.1002/(sici)1097-0142(19980415)82:8<1513::aid-cncr13>3.0.co;2-7.Peer-Reviewed Original ResearchConceptsBreast carcinomaIndependent predictorsStrong independent prognostic factorCox proportional hazards modelGrowth factorIndependent prognostic factorLymph node statusSubset of patientsInvasive ductal carcinomaUseful prognostic markerProportional hazards modelBreast tumor specimensHepatocyte growth factorNegative patientsPrognostic factorsAggressive diseaseDuctal carcinomaNode statusPrognostic valuePrognostic markerTumor specimensHazards modelPatientsPredictive valueSurvival rate