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Fig. 4 | BMC Cancer

Fig. 4

From: Evaluation of BRCA1-related molecular features and microRNAs as prognostic factors for triple negative breast cancers

Fig. 4

BRCA1 expression as factor in relapse prediction models. Performances of two models are compared: the first model (solid line) includes BRCA1 expression parameters mRNA, protein expression and BARD1-ligated BRCA1, in addition to the three previously used conventional prognostic factors for breast cancer: tumor size, node invasion, CK5/6 expression. The second model (dash line) is composed of the three conventional prognostic factors only. a Comparison of ROC curves computed with the relapse probability calculated by the BRCA1-related model (solid line) and the three conventional prognostic factor model (dash line). b Patients were classified in two groups: good or bad prognosis, according to the threshold needed to obtain 90 % sensitivity in relapse detection. Comparison of Kaplan-Meier curves computed with the patient group affectation calculated by the two models is represented. c. Classification performances of the two models at threshold fixed to obtain 90 % sensitivity in relapse detection. d. Coefficient and odds ratio of the model including BRCA1 expression parameters

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