Developing and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patients

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dc.authoridCosar, Rusen/0000-0002-7953-8887
dc.authoridCosar, Rusen/0000-0002-7953-8887
dc.authorwosidUZAL, Mustafa Cem/AAH-2683-2019
dc.authorwosidCosar, Rusen/GQP-7875-2022
dc.authorwosidCosar, Rusen/AAC-4045-2020
dc.contributor.authorTokatli, Zehra Fusun
dc.contributor.authorTure, Mevlut
dc.contributor.authorOmurlu, Imran Kurt
dc.contributor.authorAlas, Rusen Cosar
dc.contributor.authorUzal, Mustafa Cem
dc.date.accessioned2024-06-12T10:55:15Z
dc.date.available2024-06-12T10:55:15Z
dc.date.issued2011
dc.departmentTrakya Üniversitesien_US
dc.description.abstractAim: To determine 2 different prognostic indexes (PI) for the differentiation of subgroups of nonmetastatic breast cancer patients with the Cox regression analysis and survival tree (ST) methods and the additional usage of the Kaplan-Meier estimates to investigate the predictive power of these methods. Materials and methods: Prognostic factors data were collected for 410 patients. The Cox regression analysis examines the relationship of the survival distribution and covariates. The ST method is a tree-structured survival analysis based on a recursive partitioning algorithm. In this study, Harrell's concordance indexes of models for training and test sets were computed. Furthermore, survival curves were estimated by the Kaplan-Meier method. Disease-free survival (DFS) was calculated from the time of initial diagnosis (initiation of the first treatment) to the first recurrence of disease. Results: After a median follow-up of 48 months, 100 (24.4%) patients have had at least 1 of the DFS events. In Cox regression analysis, we proposed the simple PI, which is a sum of axillary nodal and HER2/neu status. In the ST method, we identified 3 variables: HER2/neu, axillary nodal, and estrogen receptor status. The axillary nodal status was the most important determining factor for recurrence. Conclusion: We found that the PI of the ST and Cox regression methods had similar performance levels in predicting DFS, and the error rates of the models were close to each other in the training and test sets. Furthermore, we determined that the axillary nodal status and HER2/neu were the most important determining factors for prediction of DFS in breast cancer patients.en_US
dc.identifier.doi10.3906/sag-0909-257
dc.identifier.endpage780en_US
dc.identifier.issn1300-0144
dc.identifier.issn1303-6165
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-80051711910en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage769en_US
dc.identifier.urihttps://doi.org/10.3906/sag-0909-257
dc.identifier.urihttps://hdl.handle.net/20.500.14551/19354
dc.identifier.volume41en_US
dc.identifier.wosWOS:000295498300003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technological Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Medical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBreast Canceren_US
dc.subjectSurvival Treeen_US
dc.subjectRecursive Partitioningen_US
dc.subjectDisease-Free Survivalen_US
dc.subjectPrognostic Indexen_US
dc.subjectInternational Expert Consensusen_US
dc.subjectGene Amplificationen_US
dc.subjectPrimary Therapyen_US
dc.subjectHer-2/Neu Geneen_US
dc.subjectExpressionen_US
dc.subjectHighlightsen_US
dc.subjectRecurrenceen_US
dc.subjectProteinen_US
dc.titleDeveloping and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patientsen_US
dc.typeArticleen_US

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