Factores pronósticos del cáncer de mama. Modelo predictivo |
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Authors: | Carlos A. Fuster Diana Enrique Fuster Diana Nieves Martínez Alzamora Antonio García Vilanova Julia Giménez Climent Carlos Vázquez Albaladejo |
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Affiliation: | 1. Servicio de Cirugía, Instituto Valenciano de Oncología, Valencia, Espa?a 2. Servicio de Cirugía, Hospital General Universitario, Valencia, Espa?a 3. Departamento de Estadística, Universidad Politécnica, Valencia, Espa?a
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Abstract: | Introduction. Breast cancer remains the most frecuent tumor among women in developed countries. The prognosis is linked to a great variety clinic and pathological factors. The objectives from this study are to identify markers related to survival of patients with primary diagnosis of breast cancer. Material and methods. We have reviewed the medical dossier from 2.227 consecutive women diagnosed for infiltrating breast cancer between January 1966 and december 2000 in a single institution. For statistic analysis we used 10.0 SPSS software. Results. In the univariate analysis, factors with the strongest predictive value for overall survival were: PEV, estrogene and progesterone receptors, TNM stage, lymphatic vessel involvement, histologic grade, Scarff differentiation and mitosis rate, elastosis, presence of histiocitosis, and the percentage of involved stage I and III lymph nodes (Berg clasification). In the multivariate analysis, 5 factors; progesterone receptors, Scarff mitotic rate, lymphatic vessel involvement, percentage of involved stage I lymph nodes, and presence of metastasis; were independent prognostic markers of survival. Conclusions. Many independent factors interact in the survival of patients with primary breast cancer. Determination of hormonal receptors, mainly progesterone’s, appear as the most powerful indicators. The analysis has generated a prognostic simplified classification, based in the 5 independent variables, that provides specific rates for survival at 2, 5 and 10 years. |
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