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Cell proliferation in breast cancer is a major determinant of clinical outcome in node-positive but not in node-negative patients.

作者信息

Treré Davide, Ceccarelli Claudio, Migaldi Mario, Santini Donatella, Taffurelli Mario, Tosti Elena, Chieco Pasquale, Derenzini Massimo

机构信息

Department of Experimental Pathology, Unit of Clinical Pathology, University of Bologna, Italy.

出版信息

Appl Immunohistochem Mol Morphol. 2006 Sep;14(3):314-23. doi: 10.1097/00129039-200609000-00010.

Abstract

The growth rate of a tumor cell population depends on two major factors: the percentage of proliferating cells (cell growth fraction) and the rapidity of their duplication (cell proliferation rate). The authors evaluated the prognostic and predictive value of both kinetics parameters in a large series of breast cancer patients (n=504). The cell growth fraction was determined by MIB-1 immunostaining, the cell proliferation rate by AgNOR analysis. Ki-67 LI (labeling index) and AgNOR area were significantly associated with histotype, histologic grade, tumor size, estrogen/progesterone receptor status, patient age, and lymph node involvement (P<0.005). In the entire series of patients, both kinetics variables were significantly and independently associated with the clinical outcome, but their prognostic relevance was quite different when node-negative and node-positive patients were considered separately. Although in node-positive patients Ki-67 LI and AgNOR area were the unique independent predictors of disease-free and overall survival, they were excluded by the multivariate Cox model in node-negative patients, where only tumor size and estrogen receptor status retained a significant P-value. These results show that in breast carcinoma the cell growth fraction and the cell proliferation rate have a different prognostic impact with respect to the lymph node status and are major determinants of clinical outcome in node-positive patients only. Within this subgroup, the rapidity of cell proliferation as assessed by AgNOR analysis also served as a sensitive predictor of the response to adjuvant treatments.

摘要

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