Prognostic value of estrogen and progesterone receptors in histologic node negative breast cancer: Results of UNI and multivariate analysis

1987 ◽  
Vol 28 ◽  
pp. 21
Author(s):  
J.P. Dauce ◽  
B. Chevallier ◽  
P.A. Cabanne ◽  
P. Bastit ◽  
V. Graic ◽  
...  
PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e90642 ◽  
Author(s):  
Kristin Jonsdottir ◽  
Jörg Assmus ◽  
Aida Slewa ◽  
Einar Gudlaugsson ◽  
Ivar Skaland ◽  
...  

1995 ◽  
Vol 13 (1) ◽  
pp. 54-61 ◽  
Author(s):  
F Vizoso ◽  
L M Sánchez ◽  
I Díez-Itza ◽  
A M Merino ◽  
C López-Otín

PURPOSE Here we evaluate in breast cancer patients the prognostic value of pepsinogen C, a proteolytic enzyme involved in the digestion of proteins in the stomach that is also synthesized by a significant percentage of breast carcinomas. PATIENTS AND METHODS Pepsinogen C expression was examined by immunoperoxidase staining in a series of 243 breast cancer tissue sections, and results obtained were quantified using the HSCORE system, which considers both the intensity and the percentage of cells staining at each intensity. Evaluation of the prognostic value of pepsinogen C was performed retrospectively in corresponding patients by multivariate analysis that took into account conventional prognostic factors. The mean follow-up period was 48.5 months. RESULTS A total of 113 carcinomas (46.5%) stained positively for this proteinase, but there were clear differences among them with regard to the intensity and percentage of stained cells. Pepsinogen C values were significantly higher in well differentiated (grade I, 89.1) and moderately differentiated (grade II, 88.5) tumors than in poorly differentiated (grade III, 27.7) tumors (P < .001). Similarly, significant differences in pepsinogen C content were found between estrogen receptor (ER)-positive tumors and ER-negative tumors (85.9 v 41.2, respectively; P < .05). Moreover, results indicated that low pepsinogen C content predicted shorter relapse-free survival duration and overall survival duration (P < .0001). Separate Cox multivariate analysis for relapse-free survival and overall survival in subgroups of patients as defined by node status showed that pepsinogen C expression was the strongest factor to predict both relapse-free survival and overall survival in node-positive patients (P < .0001 for both) and node-negative patients (P < .005 and P < .01, respectively). CONCLUSION Pepsinogen C is a new prognostic factor for early recurrence and death in both node-positive and node-negative breast cancer. In addition, and in contrast to most studies that concern the prognostic significance of proteolytic enzymes in cancer, pepsinogen C production by breast cancer cells is associated with lesions of favorable evolution.


1995 ◽  
Vol 176 (4) ◽  
pp. 343-352 ◽  
Author(s):  
Vibeke Jensen ◽  
Morten Ladekarl ◽  
Peter Holm-Nielsen ◽  
Flemming Melsen ◽  
Flemming Brandt Sœrensen

2016 ◽  
Vol 51 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Nina Fokter Dovnik ◽  
Iztok Takac

Abstract Background The association of HER2 status with urokinase plasminogen activator (uPA) and plasminogen activator inhibitor 1 (PAI-1) levels raises the question whether uPA/PAI-1 level carries additional clinically relevant prognostic information independently from HER2 status. The aim of our study was to compare the prognostic value of uPA/PAI-1 level, HER2 status, and traditional prognostic factors for survival in node-negative breast cancer patients. Patients and methods A retrospective analysis of 858 node-negative breast cancer patients treated in Maribor University Clinical Center, Slovenia, in the years 2000–2009 was performed. Data were obtained from patient medical records. The median follow-up time was 100 months. Univariate and multivariate analyses of disease-free (DFS) and overall survival (OS) were performed using the Cox regression and the Cox proportional hazards model. Results In univariate analysis, age, tumor size, grade, lymphovascular invasion, HER2 status and UPA/PAI-1 level were associated with DFS, and age, tumor size, grade, and uPA/PAI-1 level were associated with OS. In the multivariate model, the most important determinants of DFS were age, estrogen receptor status and uPA/PAI-1 level, and the most important factors for OS were patient age and tumor grade. The HR for death from any cause in the multivariate model was 1.98 (95% CI 0.83–4.76) for patients with high uPA and/or PAI-1 compared to patients with both values low. Conclusions uPA/PAI-1 level clearly carries an independent prognostic value regardless of HER2 status in node-negative breast cancer and could be used in addition to HER2 and other markers to guide clinical decisions in this setting.


1989 ◽  
Vol 25 (2) ◽  
pp. 351-356 ◽  
Author(s):  
Adel Courdi ◽  
Michel Héry ◽  
Elisabeth Dahan ◽  
Jeanine Gioanni ◽  
Michel Abbes ◽  
...  

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