6533b82cfe1ef96bd128f686
RESEARCH PRODUCT
Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer--comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial.
D. BoehmMathias GehrmannJan G. HengstlerCristina CotareloA. ElsäßerW. SiggelkowC. ThomssenAnja VictorHeinz KoelblMartina SchmidtHans-anton LehrD. BratzelG. Von MinckwitzNadia HarbeckAntje Lebrechtsubject
AdultTime FactorsBreast NeoplasmsKaplan-Meier EstimateRisk AssessmentSensitivity and SpecificityDisease-Free SurvivalBreast cancerBreast cancer 3Predictive Value of TestsMedicineHumansLongitudinal StudiesProspective StudiesRisk factorAgedNeoplasm StagingRetrospective StudiesAged 80 and overNeovascularization Pathologicbusiness.industryHazard ratioCancerRetrospective cohort studyHematologyGenes erbB-2Middle Agedmedicine.diseasePrognosisImmunohistochemistrySurvival AnalysisTreatment OutcomeOncologyAdult; Aged; Aged 80 and over; Algorithms; Breast Neoplasms/genetics; Breast Neoplasms/pathology; Breast Neoplasms/radiotherapy; Breast Neoplasms/surgery; Disease-Free Survival; Female; Follow-Up Studies; Genes erbB-2; Humans; Immunohistochemistry; Kaplan-Meier Estimate; Longitudinal Studies; Middle Aged; Multivariate Analysis; Neoplasm Staging; Neovascularization Pathologic; Predictive Value of Tests; Prognosis; Prospective Studies; Receptors Progesterone/analysis; Regression Analysis; Retrospective Studies; Risk Assessment; Sensitivity and Specificity; Survival Analysis; Time Factors; Treatment OutcomeMultivariate AnalysisRegression AnalysisFemaleBreast diseasebusinessRisk assessmentReceptors ProgesteroneAlgorithmAlgorithmsFollow-Up Studiesdescription
Background: Defining risk categories in breast cancer is of considerable clinical significance. We have developed a novel risk classification algorithm and compared its prognostic utility to the Web-based tool Adjuvant! and to the St Gallen risk classification. Patients and methods: After a median follow-up of 10 years, we retrospectively analyzed 410 consecutive node-negative breast cancer patients who had not received adjuvant systemic therapy. High risk was defined by any of the following criteria: (i) age 2 cm. All patients were also characterized using Adjuvant! and the St Gallen 2007 risk categories. We analyzed disease-free survival (DFS) and overall survival (OS). Results: The Node-Negative-Breast Cancer-3 (NNBC-3) algorithm enlarged the low-risk group to 37% as compared with Adjuvant! (17%) and St Gallen (18%), respectively. In multivariate analysis, both Adjuvant! [P = 0.027, hazard ratio (HR) 3.81, 96% confidence interval (CI) 1.16-12.47] and the NNBC-3 risk classification (P = 0.049, HR 1.95, 95% CI 1.00-3.81) significantly predicted OS, but only the NNBC-3 algorithm retained its prognostic significance in multivariate analysis for DFS (P < 0.0005). Conclusion: The novel NNBC-3 risk algorithm is the only clinicopathological risk classification algorithm significantly predicting DFS as well as OS
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-02-01 |