PURPOSE: To evaluate "classic" prognostic parameters, as well as DNA ploidy and S-phase fraction (SPF), in relation to disease-free (DFS) and disease-specific (DSS) survival in breast invasive ductal carcinoma (IDC) with long-term follow-up study. METHODS: The study involved 393 patients with IDC and median follow-up of 134 months (50-240). Histological grading, tumor size, axillary nodal involvement, pathological staging and hormone receptor status were considered as established prognostic markers. Ploidy and SPF were determined prospectively by DNA flow cytometry using fresh/frozen tissue. A Cox regression model was used for statistical analysis of the prognostic variables. RESULTS: There were 105 (26.7 %) deaths and 140 (35.6 %) disease recurrences during follow-up. Two hundred thirty-one (58.8 %) tumors were aneuploid. High SPF and aneuploidy were associated with tumors with higher grade of differentiation, greater size and negative hormone receptors. Higher SPF and advanced disease stage are correlated. In univariate analysis, all the clinicopathological and cytometric features, including patients <40 years and a subgroup presenting hypertetraploid/multiploid tumors, are significantly correlated with clinical outcome, apart from SPF and estrogen receptors for DFS. In multivariate analysis, nodal involvement, DNA aneuploidy and lack of progesterone receptors (for DSS) retained statistically significant association with shorter survival. In node-negative patients, ploidy (for DFS) and estrogen receptors (for DSS) significantly predicted survival. In both subgroups of node-positive patients and those (n = 195) with intermediate differentiation tumors (G2), aneuploidy was an indicator of worse prognosis. CONCLUSIONS: Along with nodal status and hormone receptor expression, DNA ploidy is an independent predictor of long-term survival in IDC.
PURPOSE: To evaluate "classic" prognostic parameters, as well as DNA ploidy and S-phase fraction (SPF), in relation to disease-free (DFS) and disease-specific (DSS) survival in breast invasive ductal carcinoma (IDC) with long-term follow-up study. METHODS: The study involved 393 patients with IDC and median follow-up of 134 months (50-240). Histological grading, tumor size, axillary nodal involvement, pathological staging and hormone receptor status were considered as established prognostic markers. Ploidy and SPF were determined prospectively by DNA flow cytometry using fresh/frozen tissue. A Cox regression model was used for statistical analysis of the prognostic variables. RESULTS: There were 105 (26.7 %) deaths and 140 (35.6 %) disease recurrences during follow-up. Two hundred thirty-one (58.8 %) tumors were aneuploid. High SPF and aneuploidy were associated with tumors with higher grade of differentiation, greater size and negative hormone receptors. Higher SPF and advanced disease stage are correlated. In univariate analysis, all the clinicopathological and cytometric features, including patients <40 years and a subgroup presenting hypertetraploid/multiploid tumors, are significantly correlated with clinical outcome, apart from SPF and estrogen receptors for DFS. In multivariate analysis, nodal involvement, DNA aneuploidy and lack of progesterone receptors (for DSS) retained statistically significant association with shorter survival. In node-negative patients, ploidy (for DFS) and estrogen receptors (for DSS) significantly predicted survival. In both subgroups of node-positive patients and those (n = 195) with intermediate differentiation tumors (G2), aneuploidy was an indicator of worse prognosis. CONCLUSIONS: Along with nodal status and hormone receptor expression, DNA ploidy is an independent predictor of long-term survival in IDC.
Authors: António E Pinto; Filipa Areia; Teresa Pereira; Paula Cardoso; Mariana Aparício; Giovani L Silva; Mónica C Ferreira; Saudade André Journal: Springerplus Date: 2013-08-09
Authors: Travis I Zack; Stephen E Schumacher; Scott L Carter; Andre D Cherniack; Gordon Saksena; Barbara Tabak; Michael S Lawrence; Cheng-Zhong Zhsng; Jeremiah Wala; Craig H Mermel; Carrie Sougnez; Stacey B Gabriel; Bryan Hernandez; Hui Shen; Peter W Laird; Gad Getz; Matthew Meyerson; Rameen Beroukhim Journal: Nat Genet Date: 2013-10 Impact factor: 38.330